### 1 

## Appendix 3

- B: General Land Cover Classes Derived from the Cropland Data Layer

(CDL)

USEPA OPP used the USDA National Agricultural Statistics Service (NASS) Cropland Data Layer

(CDL) to obtain a detailed spatial distribution of crops and other land cover classes 1



### .

While the CDL identifies 111 agricultural land classes and 133 total land classes, not all of these

land classes are equally reliable. Accuracy assessments documented by USDA NASS on a state

by

- state basis show that the CDL is relatively accurate (90% or greater) for major commodity

crops, such as corn, soybeans, wheat, and cotton, that are grown over extensive contiguous

areas, and for which the USDA has sufficient independent data for training and quality

assurance analysi s 2 

### . However, a high frequency of error for a number of crops suggests that the

CDL may not be suitable for minor crops. For SAM, USEPA OPP aggregated these individual

crops into broader crop groups to reduce the level of uncertainty.

Table 1 provides a cr osswalk between the Cropland Data Layer (CDL) value and class name with

the general class grouping, and the general grouping reclassification value assigned to each CDL

value. Table 2 aggregates the reclassified CDL values into the general groupings, inclu ding the

CDL classes that were identified as double

- cropped. Thus, for instance, areas that were

identified as double crop winter wheat and soybeans in CDL, would be included in the soybean

(40) general group and in the wheat (50) general group.

Following these tables is a description of the analysis that went into the crop groupings

.

Table 1 : Crosswalk between CDL Classes and General Land Cover Classes Used for SAM.

CDL

Value CDL Class Name Double

Crop Gen eral Class Group Reclass

V al ue

1 Corn Corn 10

2 Cotton Cotton 20

3 Rice Rice 30

4 Sorghum Other grains 80

5 Soybeans Soybeans 40

6 Sunflower Other row crops 90

10 Peanuts Other row crops 90

11 Tobacco Other row crops 90

12 Sweet Corn Vegetables and ground fruit 60

13 Pop or Orn Corn Vegetables and ground fruit 60

1 National CDL coverage for 2008

- 2014 is available for download from the USDA NASS site at

http://www.nass.usda.gov/research/Cropland/SARS1a.htm

.

2 The description of NASS’s accuracy assessment is available at

http://www.nass.usda.gov/research/Cropland/Method/cropland.pdf

.

### 2 CDL

Value CDL Class Name Double

Crop Gen eral Class Group Reclass

V al ue

14 Mint Vegetables and ground fruit 60

21 Barley Other grains 80

22 Durum Wheat Wheat 50

23 Spring Wheat Wheat 50

24 Winter Wheat Wheat 50

25 Other Small Grains Other grains 80

26 Dbl Crop WinWht/Soybeans Y Soybeans/Wheat 45

27 Rye Other grains 80

28 Oats Other grains 80

29 Millet Other grains 80

30 Speltz Other grains 80

31 Canola Other grains 80

32 Flaxseed Other grains 80

33 Safflower Other grains 80

34 Rape Seed Other grains 80

35 Mustard Vegetables and ground fruit 60

36 Alfalfa Pasture/hay/forage 110

37 Other Hay/Non Alfalfa Pasture/hay/forage 110

38 Camelina Other grains 80

39 Buckwheat Other grains 80

41 Sugarbeets Other row crops 90

42 Dry Beans Vegetables and ground fruit 60

43 Potatoes Vegetables and ground fruit 60

44 Other Crops Other crops 100

45 Sugarcane Other grains 80

46 Sweet Potatoes Vegetables and ground fruit 60

47 Misc Vegs & Fruits Vegetables and ground fruit 60

48 Watermelons Vegetables and ground fruit 60

49 Onions Vegetables and ground fruit 60

50 Cucumbers Vegetables and ground fruit 60

51 Chick Peas Vegetables and ground fruit 60

52 Lentils Vegetables and ground fruit 60

53 Peas Vegetables and ground fruit 60

54 Tomatoes Vegetables and ground fruit 60

55 Caneberries Vegetables and ground fruit 61

56 Hops Other row crops 90

57 Herbs Vegetables and ground fruit 60

58 Clover/Wildflowers Other crops 110

59 Sod/Grass Seed Other crops 110

60 Switchgrass Pasture/hay/forage 110

### 3 CDL

Value CDL Class Name Double

Crop Gen eral Class Group Reclass

V al ue

61 Fallow/Idle Cropland Other crops 100

62 Pasture/Grass Pasture/hay/forage 110

63 Forest Forest 140

64 Shrubland Shrubland 160

65 Barren Miscellaneous land 200

66 Cherries Orchards and grapes 70

67 Peaches Orchards and grapes 70

68 Apples Orchards and grapes 70

69 Grapes Orchards and grapes 70

70 Christmas Trees Other trees 75

71 Other Tree Crops Orchards and grapes 70

72 Citrus Orchards and grapes 70

74 Pecans Orchards and grapes 70

75 Almonds Orchards and grapes 70

76 Walnuts Orchards and grapes 70

77 Pears Orchards and grapes 70

81 Clouds/No Data Miscellaneous land 200

82 Developed Developed

- unspec 123

83 Water Water 180

87 Wetlands Wetlands

- herbaceous 195

88 Nonag/Undefined Miscellaneous land 200

92 Aquaculture Other crops 100

111 Open Water Water 180

112 Perennial Ice/Snow Miscellaneous land 200

121 Developed/Open Space Developed

- open 121

122 Developed/Low Intensity Developed

- low 122

123 Developed/Med Intensity Developed

- med 123

124 Developed/High Intensity Developed

- high 124

131 Barren Miscellaneous land 200

141 Deciduous Forest Forest 140

142 Evergreen Forest Forest 140

143 Mixed Forest Forest 140

152 Shrubland Shrubland 160

171 Grassland Herbaceous Pasture/hay/forage 150

176 Grassland/pasture Pasture/hay/forage 110

181 Pasture/Hay Pasture/hay/forage 110

190 Woody Wetlands Wetlands

- woods 190

195 Herbaceous Wetlands Wetlands

- herbaceous 195

204 Pistachios Orchards and grapes 70

205 Triticale Other grains 80

### 4 CDL

Value CDL Class Name Double

Crop Gen eral Class Group Reclass

V al ue

206 Carrots Vegetables and ground fruit 60

207 Asparagus Vegetables and ground fruit 60

208 Garlic Vegetables and ground fruit 60

209 Cantaloupes Vegetables and ground fruit 60

210 Prunes Orchards and grapes 70

211 Olives Orchards and grapes 70

212 Oranges Orchards and grapes 70

213 Honeydew Melons Vegetables and ground fruit 60

214 Broccoli Vegetables and ground fruit 60

216 Peppers Vegetables and ground fruit 60

217 Pomegranates Orchards and grapes 70

218 Nectarines Orchards and grapes 70

219 Greens Vegetables and ground fruit 60

220 Plums Orchards and grapes 70

221 Strawberries Vegetables and ground fruit 61

222 Squash Vegetables and ground fruit 60

223 Apricots Orchards and grapes 70

224 Vetch Pasture/hay/forage 110

225 Dbl Crop WinWht/Corn Y Corn/Wheat 15

226 Dbl Crop Oats/Corn Y Corn/Grains 18

227 Lettuce Vegetables and ground fruit 60

229 Pumpkins Vegetables and ground fruit 60

230 Dbl Crop Lettuce/Durum Wht Y Wheat/Vegetables 56

231 Dbl Crop Lettuce/Cantaloupe Vegetables and ground fruit 60

232 Dbl Crop Lettuce/Cotton Y Cotton/Vegetables 26

233 Dbl Crop Lettuce/Barley Y Vegetables/Grains 68

234 Dbl Crop Durum Wht/Sorghum Y Wheat/Grains 58

235 Dbl Crop Barley/Sorghum Other grains 80

236 Dbl Crop WinWht/Sorghum Y Wheat/Grains 58

237 Dbl Crop Barley/Corn Y Corn/Grains 18

238 Dbl Crop WinWht/Cotton Y Cotton/Wheat 25

239 Dbl Crop Soybeans/Cotton Y Soybeans/Cotton 42

240 Dbl Crop Soybeans/Oats Y Soybeans/Grains 48

241 Dbl Crop Corn/Soybeans Y Corn/Soybeans 14

242 Blueberries Vegetables and ground fruit 61

243 Cabbage Vegetables and ground fruit 60

244 Cauliflower Vegetables and ground fruit 60

245 Celery Vegetables and ground fruit 60

246 Radishes Vegetables and ground fruit 60

247 Turnips Vegetables and ground fruit 60

### 5 CDL

Value CDL Class Name Double

Crop Gen eral Class Group Reclass

V al ue

248 Eggplants Vegetables and ground fruit 60

249 Gourds Vegetables and ground fruit 60

250 Cranberries Vegetables and ground fruit 61

254 Dbl Crop Barley/Soybeans Y Soybeans/Grains 48

Table 2 : Summary of General CDL Class Groupings, including Double

- cropped Classes

General Group Reclass Value CDL General Class

Corn (10) 10 Corn

14 Corn/soybeans

15 Corn/wheat

18 Corn/grains

Cotton (20) 20 Cotton

42 Soybeans/cotton

25 Cotton/wheat

26 Cotton/vegetables

Rice (30) 30 Rice

Soybeans (40) 40 Soybeans

14 Corn/soybeans

42 Soybeans/cotton

45 Soybeans/wheat

48 Soybeans/grains

Wheat (50) 50 Wheat

15 Corn/wheat

45 Soybeans/wheat

56 Wheat/vegetables

58 Wheat/grains

Vegetables and ground fruit (60) 60 Vegetables and ground fruit

61 (ground fruit)

26 Cotton/vegetables

56 Wheat/vegetables

68 Vegetables/grains

Orchards, grapes (70) 70 Orchards and grapes

Other trees (75) 75 Other trees

Other grains (80) 80 Other grains

18 Corn/grains

48 Soybeans/grains

58 Wheat/grains

Other row crops (90) 90 Other row crops

Other crops (100) 100 Other crops

Pasture/hay/forage/grass (110) 110 Pasture/hay/forage

### 6 General Group Reclass Value CDL General Class

150 Grassland

176 Pasture/grassland

Developed 121 Developed

- open

122 Developed

- low

123 Developed

- med

124 Developed

- high

Forest (140) 140 Forest

Shrubland (160) 160 Shrubland

Water (180) 180 Water

Wetlands 190 Wetlands

- woods

195 Wetlands

- herbaceous

Miscellaneous (200) 200 Miscellaneous land



## 3

- B.1 Analysis of Crop Land Data Layer ( CDL ) for Crop Groupings

T he USDA NASS CropLand Data Layer (CDL) represents numerous individually mapped crops

developed using satellite imagery. Since 2008, the CDL includes yearly updates for the entire

lower 48 states. Each individually mapped unit is a 30 meter square pixel and covers over 100

in dividual crop types. However, before proceeding to use of this product

, USEPA OPP has

evaluated the data in the context of how well the product accounts for uncertainties relating to

crop rotations, potential future changes in cropping patterns, and inher ent errors and

omissions within the data set.

Because the NASS Cropland Data Layer (CDL) provides detailed spatial distributions of

numerous crops, it offers promise for defining the extent of the pesticide use area (based on

crop/ land use) for proximit y analysis. Based on extensive accuracy assessments documented in

the state

- by

- state metadata, the CDL may be sufficiently accurate for major crops, such as corn,

soybeans, wheat, cotton, alfalfa, and other crops grown over extensive contiguous areas.

Howe ver, a high frequency of error for a number of crops as documented by USDA NASS

suggests the CDL may not be suitable for minor crops that would most benefit from the spatial

detail without additional processing of the data.

O ne potential solution to reduc e the level of uncertainty in crop distributions is to aggregate

the individual crops into broader crop groupings. For example, the individual vegetable crops

could be aggregated into a single vegetable group or the various orchard crops can be

aggregated into a single orchard group.

USEPA OPP selected the CDL in California for analysis because the diversity of agriculture

offered a chance to examine a wide range of CDL covers, including those with a high error rate

in the accuracy assessments. The section s and tables below summarize the analysis. A separate

### 7 spreadsheet

– Appendix 3

- B Crop Group Error Analysis CA2010 NASS CDL.xlsx

– contains the

worksheets used to generate the analysis.

3

- B.1.1 S patial Data Layers Used for the Analysis:

USDA NASS Cropland Data Layers for CA, covering 2007, 2009, and 2010 3



### .

National Land Cover Data, 2006, for CA 4



### Public Land Survey at 1 square mile section grids for CA 5



### CDPR PUR Data for Fresno County 6



### All of the data layers were re

- projected into a common projection (using the USGS NA Albers

projection) for spatial analysis.

The CDL data were in either 30

- m or 56

- m pixels; the NLCD was in 30

- m pixels. The 56

- m data

sets were resampled to 30

- m pixels for comparisons. The PLS grids were also converted to 30

- m

pixels for analysis.

For crop comparisons, OPP downloaded 5 years (2005

- 09) of “Site Name” (crop use) from the

California Pesticide Information Portal (CALPIP) for Fresno County. This provide d OPP with a

listing of crops on which pesticides were applied for each sec tion within Fresno County. It is not

necessarily a complete listing of all crops since crops on which no pesticide was applied are not

included. However, OPP believes it does represent an excellent source of independent data for

evaluation of the CDL.

3

- B.1.2 Examining the CDL Accuracy Assessment

USDA NASS provides an accuracy assessment in the metadata for the CDL for each state 7 

### . For

agricultural land uses, the satellite imagery and interpretations are compared to Common Land

Unit (CLU) data provided by the Farm Service Agency (FSA). The CLUs represent “the smallest

3 The Cropland Data Layers for CA were downloade d from the USDA Geospatial Data Gateway

( http://datagateway.nrcs.usda.gov/ ). The metadata for the CDL were included in the downloads. Metadata are

also available through http://www.nass.usda.gov/research/Cropland/metadata/meta.htm

.

4 The 2006 NLCD was downloaded through http://www.mrlc.gov/nlcd06_data.php

.

5 The CA Public Land Su rvey township/range/section spatial data was accessed through the CDPR Pesticide Use

Reporting (PUR) site at http://www.cdpr.ca.gov/docs/pur/purmain.htm

.

6 Downloaded from the CDPR California Pes ticide Information Portal (CALPIP) at

http://calpip.cdpr.ca.gov/main.cfm

.

7 The description of NASS’s accuracy assessment comes from a description of the methodology for the CDL

available at http://www.nass.usda.gov/research/Cropland/Method/cropland.pdf

.

### 8 unit of land that has a permanent, contiguous boundary” (farm fields or plots on which crops

are grown). The FSA collects data on the actual crops grown on each CLU every year

, providing

the most accurate data source for providing a ground truth of the CLD

. A portion of the CLU

data is used to train the CDL dataset and another portion is used to calculate accuracy

measures for the CDL. Results of the accuracy analysis are specific for each sta te and can be

found in the accompanying CDL metadata.

Two types of accuracy are considered . Producer’s accuracy refers to the probability that the

ground truth pixel is correctly mapped with the CDL (e.g., a specific crop field in the CLU is

correctly map ped by the CDL) and measures errors of omission (the correct crop in the CLU is

missed in the CDL). User’s accuracy refers to the probability that a pixel from the CDL matches

the ground truth data (e.g., a crop pixel in CDL correctly matches the underlyin g CLU) and

measures errors of commission (the crop pixel in CDL incorrectly places the actual crop into a

different category). NASS tries to obtain >90% accuracy for the major crops and, in states that

are dominated by major crops (such as corn, soybeans, and wheat), the overall CDL accuracies

are high.

To evaluate the utility of the CDL for other crops and for areas that have a diversity of crops,

OPP focused on California. Table 3 summarizes the accuracy assessment for the CDL in CA for

2007, 2009, and 2 010. The crops have been sorted into general categories. The CDL achieved

>90% accuracy (producer) in most years for corn, cotton, rice, and alfalfa. However, many

minor crops had a high percentage of omission errors, meaning the CDL did not identify the

c rop (potentially underestimating the actual extent of the underlying crop) and/or commission

errors, meaning the CDL mistakenly identified something else as that crop (potentially

overestimating the actual extent of the crop).

T his analysis of NASS’s accur acy assessment indicates that the CDL may be sufficiently

accurate for the major crops, but may not be suitable for minor crops that would most

benefit from the spatial detail without additional processing of the data.



## 3

- B.2 Comparing CDL Crop Identifications f rom Year to Year, Fresno County, CA

As an additional analysis step, OPP compared how frequently CDL pixels matched with each

other from year to year. For crops that are not likely to rotate fields from year to year (such as

tree/orchard and vineyards), OPP would expect a high percentage of CDL pixels to match up

from year to year. For annual crops that are often rotated between fields (such as most of the

grain, row, and vegetable crops), OPP would not necessarily expect a high frequency of exact

crop matches between years, but would expect to see a high frequency of matches with

compatible crops (most of the other annual crops, except for crops such as rice which require

specific soil conditions).

### 9 OPP conducted a CDL mat ching analysis for the 3 years of CDL data for Fresno County, CA. OPP

used the 30

- m pixels for the 2010 and 2007 CDL data and resampled the 2009 CDL data at 30

- m

pixels. OPP used t he combine tool in ArcGIS Spatial Analyst to combine the data layers for the

different years. The values in the newly created combined raster dataset represented the

combinations of CDL classes from the individual years. These year

- to

- year combinations were

divided into three classes:

(1) Exact match: The CDL class for the pixel in on e year exactly matched the CDL class for

that same pixel in the previous year.

(2) Compatible match: For annual crops (this covered all of the grain crops except for rice,

all of the row crops, alfalfa, hay, and all of the vegetable crops), the match was

cons idered compatible i f the pixels were classified as annual crops or fallow in both

years compared. For crops that are likely to remain for multiple years (orcha rds, grapes,

strawberries, sod) or for rice, which requires specific soil conditions that are, in general,

poorly suited for other crops, compatible matches generally required an exact match in

CDL class from year to year. Fallow was also considered a compatible match for grapes,

strawberries, sod, and rice. “Other tree nuts” and “other tree fruits” w ere considered

compatible match es for the various tree nut and tree fruit crops, respectively.

(3) Conflicting match: Any combinations of agriculture and nonagriculture or annual and

perennial crops from year to year were considered conflicting matches.

Table 4 summarize s the percentage of CDL pixels with matching, compatible, or conflicting crop

classes using the 3 available years of CDL data (2010, 2009, and 2007). Few crop classes had a

relatively high percentage of exact matches. Only alfalfa, cotton, grap es, almonds, and

herbaceous grassland (an NLCD class) approached 50% exact matches in one or more years.

Many of the grain, row, and vegetable crops achieved 75% or more compatible matches

between years. On the other hand, many of the orchard, berry, and m iscellaneous crops had a

high percentage of conflicting matches. The matching analysis alone cannot discern whether

the conflicting matches are due to omission (underestimating the extent of the actual crop) or

commission (overestimating the extent of the actual crop).

The high percentage of conflicting matches in CDL pixels from year to year reflects the

accuracy assessments in the CDL metadata. It also suggests that any applications in a

proximity analysis should rely on multiple years of CDL to account for mismatch errors. It

should be noted that any fine

- tuning or improvements in the interpretation of the satellite

imagery from year to year have not been included in this analysis. Such an analysis would

require re

- training the data sets from previous ye ars.

### 10 

## 3

- B.3 Grouping the CDL Crop Identifications into More General Crop/Land Use Groups

Viable crop groupings should account for agricultural similarities, likely rotations, and the ability

of the CDL to distinguish between crop signals from remote sensi ng imagery. OPP looked at a

couple of similar crop groupings

– one used by USGS in a recent publication (Baker and Capel,

2011) and one proposed by GESTF (Amos et al, 2010) (Table 5 ).

Grouping the CDL crops into more general crop/land use groups increased the frequency of

exact or compatible matches in CDL pixels between years and reduced the frequency of

conflicting matches (Table 6 ). However, the percentage of conflicting matches still remains

relatively high in several categories

– citrus (36

- 43% confli cts), orchards and grapes (32

- 46%

conflicts), and rice (34

- 64% conflicts).

USEPA OPP’s Biological and Economic Analysis Division ( BEAD ) did a similar pixel comparison

between the 2009 and 2010 CDL layers for the entire state of California (Table 7 ). While the

citrus and orchard/grape categories had similar percentages of conflicting matches as we found

in Fresno County, rice had a much lower percentage of conflicts (8%) and a higher percentage

of exact matches (85%) for the entire state. An analysi s of the spatial distribution of rice in CA

indicates that the fields are smaller and more discontinuous within Fresno County than in the

northern part of the Central Valley. This suggests that one approach to improving the utility of

the CDL in proximity analysis may be to provide a buffer around the CDL pixels.

The improvement in the frequency of compatible matches in most land use groups indicates

that some of the uncertainties and apparent errors in the CDL classes may be reduced using

more general cr op or land use groups such as those used by USGS or proposed for use by

GESTF. Such groups need to take into consideration not only likely cropping similarities and

likely rotations in land use over time, but also the ability of the CDL to distinguish sign als

from remote sensing imagery.



## 3

- B.4 Comparison of CDL and CDPR PUR in Identifying Crop Occurrences w ithin

Sections in Fresno County , CA

Tables 8

- 10 provide a summary of the analysis completed by OPP using CDPR data compared

with the available published crop groups and a modification representing OPP’s proposed crop

grouping scheme. These tables are included as Attachments to this report. An importa nt

consideration is that this analysis was conducted on CDL crops and groups in California

. T he

larger data set from CDL includes other crops. OPP has included a final cross walk of the

preferred crop groups with those from the California analysis. Ther e are individual crops

mapped in other parts of the US that are not reflected in this analysis and those crops will need

to be included in the cross walk table as part of a future effort.

### 11 Table 8 provides a crosswalk between site uses (crops) listed in C A DPR’s Pesticide Use Reports

(PUR) and the CDL class names. Table 9 provides a comparison of the CDL and PUR for

individual CDL class names. It is important to note that the PUR data represent a surrogate for

use based on reported pesticide use to specif ic crops and may not reflect all crop locations (i.e.

organic crops). There is also likelihood that the CDL may overestimat e the extent of most

grain, hay/pasture, orchard and vineyard crops. Convers e ly there is a l ikelihood of CDL

underestimating row an d vegetable crops. Table 10 provides a comparison of the CDL and PUR

for USGS land use groups. For this analysis it is worth noting the improvement in estimation for

row crops, particularly when grouped as “other crops” with grain crops, and in vegetables and

ground fruit.



## 3

- B.5 References

Amos, J.J., C.M. Holmes, C.G. Hoogeweg, and S.A. Kay, 2010, Development of Datasets to Meet

USEPA Threatened and Endangered Species Proximity to Potential Use Sites Data

Requirements . WEI Study No. 437.01, 41 p.

Baker, N.T., and P.D. Capel, 2011, Environmental factors that influence the location of crop

agriculture in the conterminous United States: U.S. Geological Survey Scientific Investigations

Report 2011

– 5108, 72 p.

### 12 ATTACHMENTS

### 13 Table 3 : Summary of NASS Accuracy Assessment for CDL Classes in CA.

Cover Type 2010 CDL, California 2009 CDL, California 2007 CDL, California

Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error

Grain (or similarly sown) Crops

Barley 73.2% 26.8% 73.6% 26.4% 58.8% 41.2% 78.0% 22.0% 45.6% 54.4% 64.2% 35.8%

Canola 0.0% 100.0% n/a n/a 0.0% 100.0% n/a n/a

Corn 90.3% 9.7% 84.2% 15.8% 89.7% 10.3% 87.1% 12.9% 91.3% 8.8% 84.5% 15.5%

Sweet Corn n/a n/a 0.0% 100.0% 80.7% 19.3% 97.9% 2.1%

Pop. or Orn. Corn 0.0% 100.0% n/a n/a n/a n/a 0.0% 100.0% 0.0% 100.0% n/a n/a

Oats 38.1% 61.9% 47.0% 53.0% 42.8% 57.2% 48.8% 51.2% 37.4% 62.6% 54.8% 45.2%

Rice 99.3% 0.7% 98.9% 1.1% 99.6% 0.4% 99.3% 0.7% 98.7% 1.4% 98.1% 1.9%

Rye 61.2% 38.8% 65.9% 34.1% 53.0% 47.0% 73.5% 26.5% 35.7% 64.3% 68.7% 31.3%

Safflower 70.6% 29.4% 68.7% 31.4% 73.0% 27.0% 86.2% 13.8% 78.8% 21.2% 82.7% 17.3%

Sorghum 52.3% 47.7% 55.4% 44.6% n/a n/a 0.0% 100.0% 5.0% 95.0% 39.5% 60.5%

Triticale 37.6% 62.4% 65.0% 35 .0% 20.0% 80.0% 35.9% 64.1% 17.6% 82.4% 66.9% 33.1%

Durum Wheat 79.3% 20.7% 86.6% 13.4% 76.5% 23.5% 83.2% 16.8% 62.6% 37.5% 79.2% 20.8%

Spring Wheat 65.4% 34.6% 60.3% 39.7% 80.2% 19.8% 79.6% 20.4% 75.4% 24.6% 70.2% 29.8%

Winter Wheat 78.4% 21.6% 77.2% 22.8% 69.8% 30.2% 70.4% 29.6% 80.0% 20.0% 72.8% 27.2%

Dbl. Crop Barley/Corn n/a n/a 0.0% 100.0%

Dbl. Crop Barley/Sorghum 0.0% 100.0% 0.0% 100.0%

Dbl. Crop Oats/Corn 78.6% 21.4% 66.0% 34.0% 0.5% 99.5% 5.3% 94.7%

Dbl. Crop WinWht/Corn 59.2% 40.8% 66.6% 33.4% 51.6% 48.4% 62.7% 37.3%

Dbl. Crop WinWht/Sorghum 0.0% 100.0% 0.0% 100.0%

Dbl. Crop Lettuce/Durum Wht 31.4% 68.6% 92.5% 7.5%

Row Crops

Cotton 96.5% 3.5% 91.6% 8.4% 95.9% 4.1% 91.4% 8.6% 85.2% 14.8% 84.6% 15.5%

Sugarbeets 0.0% 100.0% n/a n/a 0.0% 100.0% 0.0% 100.0% 21.0% 79.0% 54.6% 45.5%

Sugarcane 0.0% 100.0% n/a n/a 0.0% 100.0% 0.0% 100.0% n/a n/a 0.0% 100.0%

Sunflower 72.4% 27.6% 64.6% 35.4% 68.5% 31.5% 89.7% 10.3% 36.5% 63.5% 66.8% 33.2%

Dbl. Crop Lettuce/ Cotton 84.0% 16.0% 100.0% 0.0%

### 14 Cover Type 2010 CDL, California 2009 CDL, California 2007 CDL, California

Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error

Hay/Pasture/Grassland

Alfalfa 90.6% 9.4% 83.4% 16.6% 93.0% 7.0% 85.6% 14.4% 93.9% 6.1% 86.6% 13.4%

Other Hay 42.9% 57.1% 57.8% 42.2% 44.7% 55.3% 54.8% 45.3% 6.1% 93.9% 16.2% 83.8%

Pasture/Grass (2010 only) 54.6% 45.4% 92.2% 7.8%

Vetch 18.6% 81.4% 52.9% 47.1% 19.3% 80.7% 63.2% 36.8% 14.3% 85.7% 57.1% 42.9%

Orchards and Vineyards

Grapes 75.3% 24.7% 78.2% 21.8% 67.1% 32.9% 78.7% 21.3% 61.4% 38.6% 77.1% 22.9%

Citrus 24.3% 75.7% 40.3% 59.7% 41.2% 58.8% 70.0% 30.0% 40.0% 60.0% 68.6% 31.4%

Oranges 56.8% 43.2% 57.4% 42.7% 60.1% 39.9% 77.0% 23.0% 57.5% 42.5% 88.1% 11.9%

Apples 0.0% 100.0% 0.0% 100.0% 0.0% 100.0% 0.0% 100.0% 11.5% 88.5% 42.9% 57.1%

Apricots 11.6% 88.4% 58.8% 41.2% 10.6% 89.4% 55.6% 44.4% 2.3% 97.7% 18.8% 81.3%

Cherries 40.9% 59.1% 64.0% 36.0% 33.3% 66.7% 48.8% 51.2% 19.0% 81.0% 39.9% 60.1%

Nectarines 51.8% 48.2% 84.1% 15.9% 22.0% 78.1% 94.7% 5.3% 7.4% 92.6% 63.0% 37.0%

Olives 70.2% 29.8% 66.8% 33.2% 41.5% 58.5% 52.1% 47.9% 43.2% 56.8% 78.8% 21.2%

Other Tree Fruits 53.4% 46.6% 56.4% 43.6% 65.5% 34.5% 82.2% 17.8% 8.1% 91.9% 44.4% 55.6%

Peaches 29.9% 70.1% 55.9% 44.1% 20.0% 80.1% 35.4% 64.7% 25.3% 74.7% 30.9% 69.1%

Plums 36.7% 63.3% 47.0% 53.0% 35.1% 64.9% 43.8% 56.2% 9.0% 91.0% 48.9% 51.1%

Pomegranates 55.0% 45.0% 69.6% 30.4% 47.0% 53.0% 88.2% 11.8% 78.8% 21.2% 71.2% 28.8%

Prunes 36.3% 63.7% 57.8% 42.2% 43.0% 57.0% 52.9% 47.2% 50.9% 49.1% 67.6% 32.4%

Almonds 82.1% 17.9% 78.0% 22.0% 73.8% 26.2% 78.3% 21.7% 74.3% 25.7% 72.0% 28.0%

Other Tree Nuts (2007 only) 0.0% 100.0% 0.0% 100.0%

Pecans 0.0% 100.0% 0.0% 100.0% 0.0% 100.0% 0.0% 100.0%

Pistachios 65.1% 35.0% 73.3% 26.7% 54.6% 45.4% 67.9% 32.1% 38.6% 61.4% 78.7% 21.4%

Walnuts 68.4% 31.6% 68.1% 31.9% 69.8% 30.2% 73.7% 26.3% 65.3% 34.7% 70.1% 29.9%

Tree Plantations/Woodland

Christmas Trees (2007 only) 3.9% 96.2% 25.0% 75.0%

Woodland (2010 only) 0.5% 99.5% 4.2% 95.8%

### 15 Cover Type 2010 CDL, California 2009 CDL, California 2007 CDL, California

Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error

Vegetables

Asparagus 47.0% 53.1% 95.4% 4.7% 0.0% 100.0% 0.0% 100.0% 42.1% 57.9% 100.0% 0.0%

Broccoli 0.0% 100.0% n/a n/a n/a n/a 0.0% 100.0%

Cantaloupes 61.4% 38.6% 79.4% 20.6% 35.6% 64.4% 40.6% 59.4% 14.9% 85.1% 37.5% 62.5%

Carrots 83.3% 16.7% 70.8% 29.2% 0.0% 100.0% n/a n/a 93.5% 6.5% 47.4% 52.6%

Cauliflower n/a n/a 0.0% 100.0%

Dry Beans 56.7% 43.3% 63.4% 36.6% 25.1% 74.9% 70.3% 29.8% 17.4% 82.6% 49.7% 50.3%

Garlic 72.4% 27.6% 96.8% 3.2% 85.5% 14.5% 97.4% 2.6% 0.0% 100.0% 0.0% 100.0%

Greens 38 .6% 61.4% 87.9% 12.1% 0.0% 100.0% n/a n/a

Honeydew Melons 0.0% 100.0% n/a n/a 2.5% 97.5% 28.6% 71.4%

Lettuce 24.3% 75.7% 50.4% 49.6% 38.9% 61.1% 77.8% 22.2%

Misc. Vegs. & Fruits 13.2% 86.8% 36.4% 63.6% 15.8% 84.3% 19.2% 80.8% 54.6% 45.5% 54.6% 45.5%

Onions 0.0% 100.0% 0.0% 100.0% 0.0% 100.0% n/a n/a 1.2% 98.8% 40.0% 60.0%

Peas 15.7% 84.3% 45.3% 54.7% 0.0% 100.0% 0.0% 100.0% 0.0% 100.0% 0.0% 100.0%

Peppers 0.0% 100.0% 0.0% 100.0% 9.5% 90.5% 26.7% 73.3% 0.0% 100.0% 0.0% 100.0%

Potatoes (2009

- 10) 84.8% 15.2% 84.2% 15.8% 83.4% 16.6% 77.9% 22.2%

Pumpkins n/a n/a 0.0% 100.0% 0.0% 100.0% n/a n/a 0.0% 100.0% n/a n/a

Squash 0.0% 100.0% 0.0% 100.0% n/a n/a 0.0% 100.0% 0.0% 100.0% n/a n/a

Sweet Potatoes 80.6% 19.4% 67.8% 32.2% 82.2% 17.8% 91.9% 8.1% 0.0% 100.0% 0.0% 100.0%

Tomatoes 70.1 % 29.9% 80.9% 19.1% 86.6% 13.4% 78.3% 21.7% 35.1% 64.9% 62.3% 37.7%

Watermelons 40.1% 59.9% 91.5% 8.5% 0.0% 100.0% 0.0% 100.0% 0.0% 100.0% 0.0% 100.0%

Dbl. Crop Lettuce /Cantaloupe 0.0% 100.0% n/a n/a

Berries

Blueberries 1.0% 99.0% 3.2% 96.8%

Cranberries 0.0% 100.0% n/a n/a

Strawberries 45.5% 54.5% 82.4% 17.6% 12.4% 87.6% 31.7% 68.3% 4.1% 95.9% 100.0% 0.0%

Miscellaneous/Other Crops

### 16 Cover Type 2010 CDL, California 2009 CDL, California 2007 CDL, California

Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error Prod.

Accur. Omiss.

Error User's

Accur. Comm.

Error

Clover/Wildflowers 76.3% 23.7% 75.8% 24.2% 75.2% 24.8% 71.1% 28.9% 55.8% 44.2% 65.7% 34.3%

Fallow/Idle Cropland 70.1% 29.9% 65.4% 34.6% 61.8% 38.2% 68.9% 31.1% 51.8% 48.2% 67.7% 32.3%

Herbs 19.8% 80.3% 60.1% 39.9% 41.1% 59.0% 91.8% 8.2% 67.5% 32.5% 70.1% 29.9%

Mint (2010 only) 86.7% 13.3% 74.6% 25.4%

Other Crops 18.5% 81.5% 52.6% 47.5% 62.0% 38.1% 62.3% 37.7% 0.0% 100.0% n/a n/a

Sod/Grass Seed 48.2% 51.8% 56.1% 43.9% 25.9% 74.1% 54.3% 45.7% 29.4% 70.6% 90.5% 9.5%

Aquaculture (2007, 2010 only) 17.6% 82.4% 100.0% 0.0% 0.0% 100.0% n/a n/a

### 17 Table 4 : Comparison of Pixel Matches from CDL Year to Year for Individual CDL Classes , Fresno County, CA.

Matching 2010 to 2009 CDL Pixels Matching 2010 to 2007 CDL Pixels Matching 2009 to 2007 CDL Pixels

CDL Classes Identified in Fresno Exact Compatible Conflicting Exact Compatible Conflicting Exact Compatible Conflicting

Grain Crops

Barley 2.2% 41.5% 58.5% 0.5% 68.3% 31.7% 3.8% 66.2% 33.8%

Corn 19.5% 79.6% 20.4% 11.1% 74.2% 25.8% 14.5% 77.8% 22.2%

Oats 4.9% 64.1% 35.9% 0.9% 62.8% 37.2% 1.0% 63.2% 36.8%

Rice 35.8% 39.6% 60.4% 19.6% 19.8% 80.2% 12.9% 12.9% 87.1%

Rye 0.0% 100.0% 0.0% 0.0% 0.0% 100.0% 0.0% 55.6% 44.4%

Safflower 0.0% 82.0% 18.0% 5.9% 84.2% 15.8% 0.0% 42.1% 57.9%

Sorghum 0.0% 70.2% 29.8% 0.0% 73.8% 26.2% 0.0% 88.0% 12.0%

Triticale 0.3% 84.0% 16.0% 0.7% 85.9% 14.1% 2.0% 74.1% 25.9%

Wheat 21.7% 72.7% 27.3% 7.1% 74.9% 25.1% 8.7% 80.6% 19.4%

Dbl. Crop Barley/Corn 0.0% 66.7% 33.3% 0.0% 66.7% 33.3% na na na

Dbl. Crop Barley/Sorghum 0.0% 68.8% 31.3% 0.0% 62.5% 37.5% na na na

Dbl. Crop Oats/Corn 0.0% 83.3% 16.7% 0.2% 86.6% 13.4% na na na

Dbl. Crop WinWht/Corn 0.0% 85.9% 14.1% 0.4% 86.4% 13.6% na na na

Dbl. Crop WinWht/Sorghum 0.0% 79.3% 20.7% 0.0% 82.1% 17.9% na na na

Row Crops

Cotton 22.9% 82.8% 17.2% 47.2% 84.6% 15.4% 49.0% 87.4% 12.6%

Sugarbeets na na na na na na na na na

Hay/Pasture/Grassland

Alfalfa 50.0% 66.8% 33.2% 24.7% 51.8% 48.2% 28.1% 56.4% 43.6%

Other Hay 0.3% 54.9% 45.1% 0.0% 60.2% 39.8% 0.0% 45.8% 54.2%

Pasture/Grass 2.6% 9.1% 90.9% 2.7% 9.1% 90.9% 3.7% 6.6% 93.4%

Grassland Herbaceous 73.2% 76.9% 23.1% 72.4% 75.8% 24.2% 72.1% 75.7% 24.3%

Orchards and Vineyards

Citrus 1.3% 12.0% 88.0% 1.0% 3.9% 96.1% 0.2% 0.3% 99.7%

Oranges 31.1% 31.1% 68.9% 1.7% 1.7% 98.3% 1.1% 1.1% 98.9%

Grapes 38.0% 38.0% 62.0% 63.0% 63.0% 37.0% 60.8% 60.8% 39.2%

Almonds 45.3% 45.3% 54.7% 48.0% 48.0% 52.0% 50.2% 50.2% 49.8%

### 18 Matching 2010 to 2009 CDL Pixels Matching 2010 to 2007 CDL Pixels Matching 2009 to 2007 CDL Pixels

CDL Classes Identified in Fresno Exact Compatible Conflicting Exact Compatible Conflicting Exact Compatible Conflicting

Pecans 2.1% 2.1% 97.9% 0.0% 0.4% 99.6% 0.0% 1.0% 99.0%

Pistachios 7.0% 7.0% 93.0% 5.8% 5.8% 94.2% 6.2% 6.2% 93.8%

Walnuts 29.1% 29.1% 70.9% 18.4% 18.8% 81.2% 23.6% 24.2% 75.8%

Other Tree Nuts na na na na na na na na na

Apples 0.0% 0.0% 100.0% 0.0% 0.0% 100.0% 0.0% 0.0% 100.0%

Apricots 0.0% 0.0% 100.0% 0.0% 0.0% 100.0% 0.4% 0.4% 99.6%

Cherries 1.0% 1.4% 98.6% 0.0% 0.0% 100.0% 0.2% 0.2% 99.8%

Nectarines 0.0% 0.2% 99.8% 1.9% 1.9% 98.1% 0.3% 0.3% 99.7%

Olives 18.4% 18.4% 81.6% 0.9% 0.9% 99.1% 1.6% 1.6% 98.4%

Peaches 1.8% 1.9% 98.1% 2.5% 2.5% 97.5% 1.8% 1.8% 98.2%

Plums 1.9% 2.1% 97.9% 1.4% 1.4% 98.6% 0.5% 0.5% 99.5%

Pomegranates 7.6% 7.6% 92.4% 7.1% 7.1% 92.9% 10.2% 10.2% 89.8%

Prunes 0.0% 0.0% 100.0% 0.0% 0.0% 100.0% 0.0% 0.0% 100.0%

Other Tree Fruits 0.3% 2.6% 97.4% 0.0% 0.6% 99.4% 0.0% 0.6% 99.4%

Vegetables

Asparagus 0.0% 82.6% 17.4% 0.0% 82.6% 17.4% 16.4% 42.4% 57.6%

Cantaloupes 0.7% 84.7% 15.3% 4.5% 88.5% 11.5% 3.0% 92.9% 7.1%

Carrots na na na na na na 0.0% 0.0% 100.0%

Dry Beans 0.0% 76.8% 23.2% 0.0% 74.0% 26.0% 0.0% 81.1% 18.9%

Garlic 0.7% 88.5% 11.5% 0.0% 88.2% 11.8% 0.0% 91.1% 8.9%

Greens na na na na na na 0.0% 50.0% 50.0%

Honeydew Melon na na na na na na na na na

Lettuce 0.0% 78.5% 21.5% 0.0% 77.1% 22.9% na na na

Misc. Vegs. & Fruits 0.0% 74.7% 25.3% 0.0% 67.2% 32.8% 0.0% 20.0% 80.0%

Onions 0.0% 26.1% 73.9% 0.0% 25.2% 74.8% 0.0% 51.0% 49.0%

Peas 0.0% 82.1% 17.9% 0.0% 77.0% 23.0% 0.0% 53.3% 46.7%

Potatoes na na na na na na na na na

Peppers 0.0% 88.7% 11.3% 0.0% 82.4% 17.6% 0.0% 80.3% 19.7%

Squash 0.0% 52.4% 47.6% 0.0% 14.3% 85.7% na na na

### 19 Matching 2010 to 2009 CDL Pixels Matching 2010 to 2007 CDL Pixels Matching 2009 to 2007 CDL Pixels

CDL Classes Identified in Fresno Exact Compatible Conflicting Exact Compatible Conflicting Exact Compatible Conflicting

Sweet Potatoes 0.0% 75.0% 25.0% 0.0% 77.1% 22.9% 0.0% 63.1% 36.9%

Tomatoes 21.2% 87.4% 12.6% 12.1% 86.7% 13.3% 12.3% 86.4% 13.6%

Watermelons 0.0% 54.5% 45.5% 0.0% 54.5% 45.5% 0.0% 52.2% 47.8%

Berries

Strawberries 0.0% 0.0% 100.0% 0.0% 0.0% 100.0% 0.0% 0.0% 100.0%

Miscellaneous/Other Crops

Clover/Wildflowers 0.0% 47.0% 53.0% 0.0% 21.7% 78.3% 0.0% 16.7% 83.3%

Herbs na na na na na na na na na

Sod/Grass Seed 0.0% 0.0% 100.0% 0.0% 0.0% 100.0% 0.0% 0.0% 100.0%

Other Crops 0.0% 29.7% 70.3% 0.0% 32.5% 67.5% 0.0% 33.2% 66.8%

Compatible crops in this comparison relate to grain crops (except for rice, which requires specific soil conditions), row cro ps, vegetables, alfalfa/hay, herbs, and

fallow/idle cropland which are plante d annually and could be planted in the same fields.

### 20 Table 5 : Classification of CDL Crop Classes Identified in Fresno County, CA, into USGS and GESTF Crop Groups

CDL

Class CDL Class Name USGS_Group Mod ified (OPP) Crop G roup s GESTF_Group

1 Corn Corn Corn Corn/Soybeans

2 Cotton Cotton Cotton Row Crops

3 Rice Rice Rice Grains

4 Sorghum Sorghum Sorghum Grains

21 Barley Other crops Other Grains Grains

22 Wheat Wheat Wheat Grains

23 Wheat Wheat Wheat Grains

24 Wheat Wheat Wheat Grains

27 Rye Other crops Other Grains Grains

28 Oats Other crops Other Grains Grains

33 Safflower Other crops Other Grains Grains

36 Alfalfa Grassland Grassland Hay/Forage/Silage

37 Other Hay Grassland Grassland Hay/Forage/Silage

41 Sugarbeets Other crops Other Row Crops Vegetables

42 Dry Beans Vegetables and ground fruit Vegetables and ground fruit Vegetables

43 Potatoes Vegetables and ground fruit Vegetables and ground fruit Vegetables

44 Other Crops Other crops Other crops Other Crops

46 Sweet Potatoes Vegetables and ground fruit Vegetables and ground fruit Vegetables

47 Misc. Vegs. & Fruits Vegetables and ground fruit Vegetables and ground fruit Vegetables

48 Watermelons Vegetables and ground fruit Vegetables and ground fruit Vegetables

49 Onions Vegetables and ground fruit Vegetables and ground fruit Vegetables

53 Peas Vegetables and ground fruit Vegetables and ground fruit Vegetables

54 Tomatoes Vegetables and ground fruit Vegetables and ground fruit Vegetables

57 Herbs Other crops Other crops Vegetables

58 Clover/Wildflowers Other crops Other crops Hay/Forage/Silage

59 Sod/Grass Seed Other crops Other crops Grass for Seed/Sod

61 Fallow/Idle Cropland Other crops Other crops Fallow

62 Pasture/Grass Grassland Grassland Rangeland

### 21 CDL

Class CDL Class Name USGS_Group Mod ified (OPP) Crop G roup s GESTF_Group

66 Cherries Orchards and grapes Orchards and grapes Fruits/Nuts

67 Peaches Orchards and grapes Orchards and grapes Fruits/Nuts

68 Apples Orchards and grapes Orchards and grapes Fruits/Nuts

69 Grapes Orchards and grapes Orchards and grapes Fruits/Nuts

71 Other Tree Nuts Orchards and grapes Orchards and grapes Fruits/Nuts

72 Citrus Citrus Citrus Fruits/Nuts

73 Other Tree Fruits Orchards and grapes Orchards and grapes Fruits/Nuts

74 Pecans Orchards and grapes Orchards and grapes Fruits/Nuts

75 Almonds Orchards and grapes Orchards and grapes Fruits/Nuts

76 Walnuts Orchards and grapes Orchards and grapes Fruits/Nuts

87 Wetlands Wetlands Wetlands

111 Open Water Water Water

112 Perennial Ice/Snow Perennial Ice/Snow Perennial Ice/Snow

121 Developed/Open Space Urban Urban Turf Use

122 Developed/Low Intensity Urban Urban Turf Use

123 Developed/Medium Intensity Urban Urban

124 Developed/High Intensity Urban Urban

131 Barren Barren Barren

141 Deciduous Forest Forest Forest Forestry

142 Evergreen Forest Forest Forest Forestry

143 Mixed Forest Forest Forest Forestry

152 Shrubland Shrubland Shrubland

171 Grassland Herbaceous Grassland Grassland Rangeland

190 Woody Wetlands Wetlands Wetlands

195 Herbaceous Wetlands Wetlands Wetlands

201 Almonds Orchards and grapes Orchards and grapes Fruits/Nuts

202 Tomatoes Vegetables and ground fruit Vegetables and ground fruit Vegetables

203 Walnuts Orchards and grapes Orchards and grapes Fruits/Nuts

204 Pistachios Orchards and grapes Orchards and grapes Fruits/Nuts

### 22 CDL

Class CDL Class Name USGS_Group Mod ified (OPP) Crop G roup s GESTF_Group

205 Triticale Other crops Other Grains Grains

206 Carrots Vegetables and ground fruit Vegetables and ground fruit Vegetables

207 Asparagus Vegetables and ground fruit Vegetables and ground fruit Vegetables

208 Garlic Vegetables and ground fruit Vegetables and ground fruit Vegetables

209 Cantaloupes Vegetables and ground fruit Vegetables and ground fruit Vegetables

210 Prunes Orchards and grapes Orchards and grapes Fruits/Nuts

211 Olives Orchards and grapes Orchards and grapes Fruits/Nuts

212 Oranges Citrus Citrus Fruits/Nuts

213 Honeydew Melon Vegetables and ground fruit Vegetables and ground fruit Vegetables

215 Cherry Orchards Orchards and grapes Orchards and grapes Fruits/Nuts

216 Peppers Vegetables and ground fruit Vegetables and ground fruit Vegetables

217 Pomegranates Orchards and grapes Orchards and grapes Fruits/Nuts

218 Nectarines Orchards and grapes Orchards and grapes Fruits/Nuts

219 Greens Vegetables and ground fruit Vegetables and ground fruit Vegetables

220 Plums Orchards and grapes Orchards and grapes Fruits/Nuts

221 Strawberries Vegetables and ground fruit Vegetables and ground fruit Berries

222 Squash Vegetables and ground fruit Vegetables and ground fruit Vegetables

223 Apricots Orchards and grapes Orchards and grapes Fruits/Nuts

225 Dbl. Crop WinWht/Corn Corn Corn Grains

226 Dbl. Crop Oats/Corn Corn Corn Grains

227 Lettuce Vegetables and ground fruit Vegetables and ground fruit Vegetables

235 Dbl. Crop Barley/Sorghum Sorghum Sorghum Grains

236 Dbl. Crop WinWht/Sorghum Sorghum Sorghum Grains

237 Dbl. Crop Barley/Corn Corn Corn Grains

### 23 Table 6 : Comparison of Pixel Matches from CDL Year to Year for USGS Land Use Groups (Fresno County)

USGS Land Use Group Names Matching 2010 to 2009 CDL Pixels Matching 2010 to 2007 CDL Pixels Matching 2009 to 2007 CDL Pixels

Exact Compatible Conflicting Exact Compatible Conflicting Exact Compatible Conflicting

Barren 71.3% 95.9% 4.1% 72.2% 96.4% 3.6% 73.3% 96.5% 3.5%

Citrus 29.8% 63.2% 36.8% 1.9% 56.9% 43.1% 1.1% 64.2% 35.8%

Corn 18.0% 85.2% 14.8% 11.0% 80.7% 19.3% 14.9% 80.7% 19.3%

Cotton 22.9% 86.7% 13.3% 47.2% 87.2% 12.8% 49.0% 89.0% 11.0%

Forest 86.0% 86.1% 13.9% 87.1% 87.2% 12.8% 85.1% 85.2% 14.8%

Grassland 68.1% 84.1% 15.9% 62.6% 79.5% 20.5% 64.4% 80.5% 19.5%

Orchards and grapes 52.0% 53.8% 46.2% 66.3% 66.4% 33.6% 67.7% 67.8% 32.2%

Other crops 37.5% 81.1% 18.9% 26.0% 79.9% 20.1% 26.0% 79.4% 20.6%

Perennial Ice/Snow 42.7% 100.0% 0.0% 42.0% 100.0% 0.0% 45.1% 99.6% 0.4%

Rice 35.8% 66.3% 33.7% 19.6% 46.1% 53.9% 12.9% 35.8% 64.2%

Shrubland 65.1% 70.6% 29.4% 69.7% 75.0% 25.0% 67.3% 72.4% 27.6%

Sorghum 0.0% 88.6% 11.4% 0.7% 87.5% 12.5% 0.0% 89.6% 10.4%

Urban 74.2% 86.4% 13.6% 73.4% 84.2% 15.8% 57.1% 73.9% 26.1%

Vegetables and ground fruit 23.7% 88.6% 11.4% 14.4% 87.4% 12.6% 17.4% 84.9% 15.1%

Water 72.1% 72.1% 27.9% 76.7% 76.7% 23.3% 73.6% 73.6% 26.4%

Wetlands 32.1% 39.5% 60.5% 26.4% 34.6% 65.4% 18.9% 24.9% 75.1%

Wheat 21.7% 82.5% 17.5% 7.1% 83.1% 16.9% 8.7% 86.1% 13.9%

Overall 80.7% 19.3% 81.1% 18.9% 79.8% 20.2%

NOTE: Compatible crops in this comparison relate to grain crops (except for rice, which requires specific soil conditions), row cro ps, vegetables,

alfalfa/hay, herbs, and fallow/idle cropland which are planted annually and could be planted in the same fields.

### 24 Table 7 : Comparison of Pixel Matches from CDL Between 2009 and 2010 for the Entire State of California

(Using USGS L and Use Groups ; Done by BEAD )

USGS Land Use Group Names Matching 2010 to 2009 CDL Pixels

Exact Compatible Conflicting

Barren 77.9% 99.0% 1.0%

Citrus 40.2% 64.6% 35.4%

Corn 28.3% 89.5% 10.5%

Cotton 24.0% 90.1% 9.9%

Forest 88.7% 88.7% 11.3%

Grassland 39.9% 57.3% 42.7%

Orchards and grapes 61.4% 63.3% 36.7%

Other crops 23.6% 87.6% 12.4%

Pasture/Grass 73.8% 75.7% 24.3%

Perennial Ice/Snow 56.0% 87.4% 12.6%

Rice 85.4% 92.5% 7.5%

Shrubland 88.3% 90.2% 9.8%

Sorghum 0.0% 70.5% 29.5%

Urban 86.9% 91.0% 9.0%

Vegetables and ground fruit 18.9% 82.5% 17.5%

Water 89.9% 89.9% 10.1%

Wetlands 51.1% 51.7% 48.3%

Wheat 25.9% 85.5% 14.5%

Overall 72.7% 27.3%

NOTE: Compatible crops in this comparison relate to grain crops (except for rice,

which requires specific soil conditions), row crops, vegetables, alfalfa/hay, herbs,

and fallow/idle cropland which are planted annually and could be planted in the

same fields.

### 25 Table 8 : Crosswalk of Site Uses (Crops) Identified in the CDPR PUR for Fresno County, 2005

- 09, with CDL Class

Names, USGS Land Use Groups, and GESTF Crop Groups.

CDPR PUR Crops CDL_Class USGS_Group (Modified) GESTF_Group

Alfalfa (Forage

- Fodder)

(Alfalfa Hay) Alfalfa Grassland Hay/Forage/Sila ge

Almond Almonds Orchards and grapes Fruits/Nuts

Apple Apples Orchards and grapes Fruits/Nuts

Apricot Apricots Orchards and grapes Fruits/Nuts

Aquatic Areas, Water Areas

(All Or Unspec) Aquaculture Other crops

Arrugula (Roquette, Rocket

Salad) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Artichoke (Globe) (All Or

Unspec) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Asparagus (Spears, Ferns,

Etc.) Asparagus Vegetables & ground fruit Vegetables

Avocado (All Or Unspec) Other Tree Fruits Orchards and grapes Fruits/Nuts

Bamboo Shoots Other Crops Other crops Other Crops

Barley, General Barley Other crops (other grains) Grains

Basil (Bush, Garden, Sweet) Herbs Other crops Vegetables

Beans (All Or Unspec) Dry Beans Vegetables & ground fruit Vegetables

Beans, Dried

- Type Dry Beans Vegetables & ground fruit Vegetables

Beans, Succulent (Other

Than Lima) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Beets, General Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Bitter Melon (Balsam Pear,

Bitter Gourd) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Blackberry Caneberry Vegetables & ground fruit Berries

Blueberry Blueberry Vegetables & ground fruit Berries

Bok Choy (Wong Bok) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Boysenberry (Boysens) Caneberry Vegetables & ground fruit Berries

Broccoli Broccoli Vegetables & ground fruit Vegetables

Buildings And Structures

(Non

- Ag Outdoor) NLCD developed Urban

Cabbage Cabbage Vegetables & ground fruit Vegetables

Cantaloupe Cantaloupe Vegetables & ground fruit Vegetables

Carrots, General Carrots Vegetables & ground fruit Vegetables

Cauliflower Cauliflower Vegetables & ground fruit Vegetables

Celery, General Celery Vegetables & ground fruit Vegetables

Cherry Cherry Orchard Orchards and grapes Fruits/Nuts

Chestnut Other Tree Nuts Orchards and grapes Fruits/Nuts

Chinese Cabbage (Nappa,

Won Bok, Celery Cabbage) Cabbage Vegetables & ground fruit Vegetables

Chinese Greens, Chinese

Leafy Vegetables Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

### 26 CDPR PUR Crops CDL_Class USGS_Group (Modified) GESTF_Group

Chinese Radish/Daikon

(Lobok, Japanese Radish) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Christmas Tree Plantations Christmas Trees Other crops Tree Plantations

Cilantro (Chinese Parsley,

Coriander Leaves) Herbs Other crops Vegetables

Citrus Fruits (All Or Unspec) Citrus Citrus Fruits/Nuts

Collards Greens Vegetables & ground fruit Vegetables

Commercial, Institutional Or

Industrial Areas NLCD developed Urban

Corn (Forage

- Fodder) Corn Corn Corn/Soybeans

Corn, Field, Dent (Grain

Crop) Corn Corn Corn/Soybeans

Corn, Human Consumption Sweet Corn Vegetables & ground fruit Corn/Soybeans

Cotton, General Cotton Cotton Row Crops

Cucumber (Pickling,

Chinese, Etc.) Cucumber Vegetables & ground fruit Vegetables

Dill Herbs Other crops Vegetables

Eggplant (Oriental Eggplant) Eggplant Vegetables & ground fruit Vegetables

Endive (Escarole) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Fig Other Tree Fruits Orchards and grapes Fruits/Nuts

Flavoring And Spice Crops

(All Or Unspec) Other Crops Other crops Other Crops

Forage

- Fodder Grasses (All

Or Unspec) (Hay) Other Hays Grassland Hay/Forage/Silage

Forest Trees, Forest Lan ds

(All Or Unspec) NLCD

- Mixed Forest Forest Forestry

Fruiting Vegetables (All Or

Unspec) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Gai Choy (Loose Leaf) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Gai Lon Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Garbanzos (Including Chick

Peas) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Garlic Garlic Vegetables & ground fruit Vegetables

Ginger (Ginger Root,

Common Ginger) Other Crops Other crops Other Crops

Gourds (All Or Unspec) Gourd Vegetables & ground fruit Vegetables

Grain Crops (All Or Unspec) Other Small Grains Other crops (other grains) Grains

Grapefruit Citrus Citrus Fruits/Nuts

Grapes Grapes Orchards and grapes Fruits/Nuts

Grapes, Wine Grapes Orchards and grapes Fruits/Nuts

Grasses Grown For Seed (All

Or Unspec) Seed/Sod Grass Other crops Grass for Seed/Sod

Guava (Subtropical And

Tropical Fruit) Other Tree Fruits Orchards and grapes Fruits/Nuts

Jujube Other Tree Fruits Orchards and gr apes Fruits/Nuts

Kale Greens Vegetables & ground fruit Vegetables

### 27 CDPR PUR Crops CDL_Class USGS_Group (Modified) GESTF_Group

Kiwi Fruit Other Tree Fruits Orchards and grapes Fruits/Nuts

Leek Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Lemon Citrus Citrus Fruits/Nuts

Lettuce, Head (All Or

Unspec) Lettuce Vegetables & ground fruit Vegetables

Lettuce, Leaf (All Or Unspec) Lettuce Vegetables & ground fruit Vegetables

Lime (Mexican Lime, Etc.) Citrus Citrus Fruits/Nuts

Melons Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Mint (All Or Unspec) Mint Vegetables & ground fruit Vegetables

Mustard, General Mustard Other crops Vegetables

Nectarine Nectarine Orchards and grapes Fruits/Nuts

Oats (Forage

- Fodder) Oats Other crops (other grains) Grains

Oats, General Oats Other crops (other grains) Grains

Okra (Gumbo) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Olive (All Or Unspec) Olives Orchards and grapes Fruits/Nuts

Onion (Dry, Spanish, White,

Yellow, Red, Etc.) Onions Vegetables & ground fruit Vegetables

Onions (Green) Onions Vegetables & ground fruit Vegetables

Orange (All Or Unspec) Oranges Citrus Fruits/Nuts

Orchards (Fruit/Nut Etc) Other Tree Fruits Orchards and grapes Fruits/Nuts

Ornamental Turf (All Or

Unspec) NLCD

- Developed/ Low

Intensity Urban Turf Use

Papaya Other Tree Fruits Orchards and grapes Fruits/Nuts

Parsley (Leafy Vegetable) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Pastures (All Or Unspec) Pasture/Grass Grassland Rangeland

Peach Peaches Orchards and grapes Fruits/Nuts

Peanuts, Human

Consumption Peanuts Other crops (other row

crops) Row Crops

Pear Pear Orchards and grapes Fruits/Nuts

Peas, General Peas Vegetables & ground fruit Vegetables

Pecan Pecans Orchards and grapes Fruits/Nuts

Peppers (Fruiting

Vegetable), ( Bell,Chili, Etc.) Peppers Vegetables & ground fruit Vegetables

Persimmon Other Tree Fruits Orchards and grapes Fruits/Nuts

Pistachio (Pistache Nut) Pistachios Orchards and grapes Fruits/Nuts

Plum (Includes Wild Plums

For Human Consumption) Plums Orchards and grapes Fruits/Nuts

Pluot Other Tree Fruits Orchards and grapes Fruits/Nuts

Pomegranate

(Miscellaneous Fruit) Pomegranates Orchards and grapes Fruits/Nuts

Potato (White, Irish, Red,

Russet) Potatoes Vegetables & ground fruit Vegetables

Prune Prunes Orchards and grapes Fruits/Nuts

Pumpkin Pumpkin Vegetables & ground fruit Vegetables

### 28 CDPR PUR Crops CDL_Class USGS_Group (Modified) GESTF_Group

Quince Other Tree Fruits Orchards and grapes Fruits/Nuts

Radicchio Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Radish Radish Vegetables & ground fruit Vegetables

Rangeland (All Or Unspec) NLCD

- Grassland

Herbaceous Grassland Rangeland

Recreational Areas, Tennis

Courts, Parks, Etc. NLCD

- Developed/ Open

Space Urban Turf Use

Rice (All Or Unspec) Rice Rice Grains

Rye (All Or Unspec) Rye Other crops (other grains) Grains

Safflower, General Safflower Other crops (other grains) Grains

Site Unknown

Small Fruits (All Or

Unspecified) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Soil Application, Preplant

Outdoor ( Seedbeds,Etc.) Unable to determine Unable to determine Unable to determine

Sorghum (Forage

- Fodder)

(Sorgo, Etc.) Sorghum Sorghum Grains

Sorghum/Milo General Sorghum Sorghum Grains

Spinach Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Squash (All Or Unspec) Squash Vegetables & ground fruit Vegetables

Squash (Summer) Squash Vegetables & ground fruit Vegetables

Squash (Winter) (Hubbard

Squash, Calabaza, Etc.) Squash Vegetables & ground fruit Vegetables

Squash (Zucchini) Squash Vegetables & ground fruit Vegetables

Strawberry (All Or Unspec) Strawberries Vegetables & ground fruit Berries

Sudangrass (Forage

- Fodder) (Sorghum

Sudanese) Other Hays Grassland Hay/Forage/Silage

Sugarbeet, General Sugarbeets Other crops (other row

crops) Vegetables

Sugarcane (Sugar Crop)

(Ratoon, Sugarcane Stubble) Sugarcane Other crops (other row

crops) Row Crops

Sunflower, General Sunflowers Other crops (other row

crops) Row Crops

Swiss Chard (Spinach Beet) Misc. Vegs. & Fruits Vege tables & ground fruit Vegetables

Tangelo Citrus Citrus Fruits/Nuts

Tangerine (Mandarin,

Satsuma, Murcott, Etc.) Citrus Citrus Fruits/Nuts

Taro (All Or Unspec) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Tomatillo Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

Tomato Tomatoes Vegetables & ground fruit Vegetables

Tomatoes, For

Processing/Canning Tomatoes Vegetables & ground fruit Vegetables

Triticale (Grain Crop) Triticale Other crops Grains

Turnip, General Turnip Vegetables & ground fruit Vegetables

Vegetables (All Or Unspec) Misc. Vegs. & Fruits Vegetables & ground fruit Vegetables

### 29 CDPR PUR Crops CDL_Class USGS_Group (Modified) GESTF_Group

Walnut (English Walnut,

Persian Walnut) Walnuts Orchards and grapes Fruits/Nuts

Watermelons Watermelon Vegetables & ground fruit Vegetables

Wheat (Forage

- Fodder) Wheat (combined) Wheat Grains

Wheat, General Wheat (combined) Wheat Grains

### 30 Table 9 : Comparison of CDL (2007, 09, 10) and CDPR PUR (2005

- 09) in Identifying Crop Occurrences Within

Sections in Fresno County.

CDL Crops PLS Sections containing the crop based on

CDL Only PUR Only Both %overlap %CD L only % miss

Grain Crops

Corn 1476 10 405 21.4% 78.1% 0.5%

Rice 116 8 22 15.1% 79.5% 5.5%

Sorghum 381 18 11 2.7% 92.9% 4.4%

Barley 816 48 88 9.2% 85.7% 5.0%

Oats 1916 31 189 8.8% 89.7% 1.5%

Other Small Grains 0 1 0 0.0% 0.0% 100.0%

Rye 24 1 0 0.0% 96.0% 4.0%

Safflower 434 81 60 10.4% 75.5% 14.1%

Triticale 325 8 17 4.9% 92.9% 2.3%

Wheat 1758 7 735 29.4% 70.3% 0.3%

Row Crops

Cotton 1028 83 939 45.8% 50.1% 4.0%

Peanut 0 4 0 0.0% 0.0% 100.0%

Sugarbeet 70 91 77 32.4% 29.4% 38.2%

Sugarcane 0 1 0 0.0% 0.0% 100.0%

Sunflower 0 1 0 0.0% 0.0% 100.0%

Hay/Pasture/Grassland

Alfalfa 1689 2 637 27.4% 72.6% 0.1%

Other Hays 642 31 29 4.1% 91.5% 4.4%

Pasture/Grass 3648 15 15 0.4% 99.2% 0.4%

Grassland 5323 0 38 0.7% 99.3% 0.0%

Orchards and Vineyards

Citrus 320 95 102 19.7% 61.9% 18.4%

Oranges 427 24 222 33.0% 63.4% 3.6%

Grapes 1340 16 872 39.1% 60.1% 0.7%

Almonds 1499 10 860 36.3% 63.3% 0.4%

Pecans 142 10 3 1.9% 91.6% 6.5%

Pistachio 2013 29 208 9.2% 89.5% 1.3%

Walnuts 1044 6 105 9.1% 90.4% 0.5%

Other Tree Nuts 63 1 0 0.0% 98.4% 1.6%

### 31 CDL Crops PLS Sections containing the crop based on

CDL Only PUR Only Both %overlap %CD L only % miss

Apples 65 51 0 0.0% 56.0% 44.0%

Apricots 354 75 27 5.9% 77.6% 16.4%

Cherry 358 48 65 13.8% 76.0% 10.2%

Nectarine 177 79 197 43.5% 39.1% 17.4%

Olives 622 5 28 4.3% 95.0% 0.8%

Peaches 482 51 303 36.2% 57.7% 6.1%

Pear 0 25 0 0.0% 0.0% 100.0%

Plums 407 58 239 33.9% 57.8% 8.2%

Pomegranates 1454 17 63 4.1% 94.8% 1.1%

Prunes 467 35 16 3.1% 90.2% 6.8%

Other Tree Fruits 677 9 61 8.2% 90.6% 1.2%

Vegetables

Asparagus 440 9 4 0.9% 97.1% 2.0%

Broccoli 0 81 0 0.0% 0.0% 100.0%

Cabbage 0 51 0 0.0% 0.0% 100.0%

Cantaloupe 440 88 184 25.8% 61.8% 12.4%

Carrots 20 32 1 1.9% 37.7% 60.4%

Cauliflower 0 1 0 0.0% 0.0% 100.0%

Celery 0 1 0 0.0% 0.0% 100.0%

Cucumber 0 62 0 0.0% 0.0% 100.0%

Dry Beans 140 73 10 4.5% 62.8% 32.7%

Eggplant 0 84 0 0.0% 0.0% 100.0%

Garlic 264 100 124 25.4% 54.1% 20.5%

Gourd 0 11 0 0.0% 0.0% 100.0%

Greens 30 2 0 0.0% 93.8% 6.3%

Honeydew Melon 109 0 0 0.0% 100.0% 0.0%

Lettuce 231 135 93 20.3% 50.3% 29.4%

Mint 0 2 0 0.0% 0.0% 100.0%

Misc. Vegs. & Fruits 86 255 16 4.5% 24.1% 71.4%

Onions 149 293 57 11.4% 29.9% 58.7%

Peas 176 23 1 0.5% 88.0% 11.5%

Peppers 286 93 4 1.0% 74.7% 24.3%

### 32 CDL Crops PLS Sections containing the crop based on

CDL Only PUR Only Both %overlap %CD L only % miss

Potato 6 1 0 0.0% 85.7% 14.3%

Pumpkin 0 11 0 0.0% 0.0% 100.0%

Radish 0 2 0 0.0% 0.0% 100.0%

Squash 8 46 0 0.0% 14.8% 85.2%

Sweet Corn 0 214 0 0.0% 0.0% 100.0%

Sweet Potato 81 0 0 0.0% 100.0% 0.0%

Tomato 723 140 621 41.8% 48.7% 9.4%

Turnip 0 1 0 0.0% 0.0% 100.0%

Watermelon 354 39 26 6.2% 84.5% 9.3%

Berries

Blueberry 0 22 0 0.0% 0.0% 100.0%

Caneberry 0 8 0 0.0% 0.0% 100.0%

Strawberry 42 33 0 0.0% 56.0% 44.0%

Miscellaneous/Other Crops

Christmas Trees 0 1 0 0.0% 0.0% 100.0%

Clover/Wildflower 46 0 0 0.0% 100.0% 0.0%

Herbs 200 3 0 0.0% 98.5% 1.5%

Mustard 0 53 0 0.0% 0.0% 100.0%

Other Crops 291 5 0 0.0% 98.3% 1.7%

Seed/Sod Grass 59 1 0 0.0% 98.3% 1.7%

### 33 Table 10 : Comparison of CDL to CDPR PUR Land Classes, Using the USGS Land Use Grouping (focusing on

Agricultural Uses) , Fresno County, CA.

USGS Land Use Groups PLS Sections containing the crop based on

CDL Only PUR Only Both %overlap %CDl only % miss

2007

- 10 CDL vs 2005

- 09 PUR

Citrus 501 36 269 33.4% 62.2% 4.5%

Corn 1476 10 405 21.4% 78.1% 0.5%

Cotton 1028 83 939 45.8% 50.1% 4.0%

Grassland 4990 0 717 12.6% 87.4% 0.0%

Orchards and Grapes 1107 24 1489 56.8% 42.3% 0.9%

Other Crops (total) 2225 6 632 22.1% 77.7% 0.2%

Other Grain Crops 1855 42 424 18.3% 79.9% 1.8%

Other Row Crops 70 96 77 31.7% 28.8% 39.5%

Remaining Other Crops 2737 1 58 2.1% 97.9% 0.0%

Rice 116 8 22 15.1% 79.5% 5.5%

Sorghum 381 18 11 2.7% 92.9% 4.4%

Vegetables & Ground Fruit 782 175 1037 52.0% 39.2% 8.8%

Wheat 1758 7 735 29.4% 70.3% 0.3%

Unclassified in PUR 0 616 0 0.0% 0.0% 100.0%

2010 CDL vs 2005

- 09 PUR

Citrus 363 48 257 38.5% 54.3% 7.2%

Corn 1208 32 383 23.6% 74.4% 2.0%

Cotton 836 297 725 39.0% 45.0% 16.0%

Grassland 4659 1 716 13.3% 86.7% 0.0%

Orchards and Grapes 1049 41 1472 57.5% 40.9% 1.6%

Other Crops (total) 2020 29 609 22.9% 76.0% 1.1%

Other Grain Crops 1436 123 343 18.0% 75.5% 6.5%

Other Row Crops 0 173 0 0.0% 0.0% 100.0%

Remaining Other Crops 2486 5 54 2.1% 97.7% 0.2%

Rice 93 9 21 17.1% 75.6% 7.3%

Sorghum 111 25 4 2.9% 79.3% 17.9%

Vegetables & Ground Fruit 527 344 868 49.9% 30.3% 19.8%

Wheat 1424 79 663 30.6% 65.7% 3.6%

Unclassified in PUR 0 616 0 0.0% 0.0% 100.0%

2009 CDL vs 2005

- 09 PUR

### 34 USGS Land Use Groups PLS Sections containing the crop based on

CDL Only PUR Only Both %overlap %CDl only % miss

Citrus 275 48 257 44.3% 47.4% 8.3%

Corn 1024 61 354 24.6% 71.2% 4.2%

Cotton 561 372 650 41.1% 35.4% 23.5%

Grassland 4521 5 712 13.6% 86.3% 0.1%

Orchards and Grapes 939 53 1460 59.5% 38.3% 2.2%

Other Crops (total) 1927 25 613 23.9% 75.1% 1.0%

Other Grain Crops 1370 126 340 18.5% 74.6% 6.9%

Other Row Crops 0 173 0 0.0% 0.0% 100.0%

Remaining Other Crops 2402 4 55 2.2% 97.6% 0.2%

Rice 20 13 17 34.0% 40.0% 26.0%

Sorghum 184 26 3 1.4% 86.4% 12.2%

Vegetables & Ground Fruit 450 373 839 50.5% 27.1% 22.4%

Wheat 1403 38 704 32.8% 65.4% 1.8%

Unclassified in PUR 0 616 0 0.0% 0.0% 100.0%

2007 CDL vs 2005

- 09 PUR

Citrus 40 207 98 28.4% 11.6% 60.0%

Corn 810 59 356 29.1% 66.1% 4.8%

Cotton 359 180 842 61.0% 26.0% 13.0%

Grassland 4335 8 709 14.0% 85.8% 0.2%

Orchards and Grapes 729 70 1443 64.4% 32.5% 3.1%

Other Crops (total) 1683 33 605 26.1% 72.5% 1.4%

Other Grain Crops 760 226 240 19.6% 62.0% 18.4%

Other Row Crops 70 96 77 31.7% 28.8% 39.5%

Remaining Other Crops 2125 2 57 2.6% 97.3% 0.1%

Rice 21 13 17 33.3% 41.2% 25.5%

Sorghum 112 22 7 5.0% 79.4% 15.6%

Vegetables & Ground Fruit 267 456 756 51.1% 18.1% 30.8%

Wheat 1052 204 538 30.0% 58.6% 11.4%

Unclassified in PUR 0 616 0 0.0% 0.0% 100.0%