U.S. Department of the Interior

U.S. Geological Survey

Update on Analysis of 2005 Presentation to the Glen Canyon Dam Adaptive Management Program, Technical Work Group.April 8, 20083:00 PM
FY2007-2008 REMOTE SENSING 

DASA 12.D6.08 

Integrated Analysis and Modeling-Mapp

Habitat Changes

Principal Investigator

Jack Schmidt, Utah State Univer

Michael Breedlove, Utah State Univ

Tim Andrews, Utah State Univers

Ted Melis, GCMRC

Glenn Bennett, GCMRC

Tom Gushue, GCMRC
FY2007-2008 REMOTE SENSING 

DASA 12.D6.08 

Integrated Analysis and Modeling-Mapp

Habitat Changes

PROJECT GOALSGOAL 1: Develop automated shoreline-habitat data ac

ranges for the entire Grand Canyon Ecosystem Corsensed data sources.

 Classify whole surfaces by selected habitat charact

geomorphology, texture (roughness), vegetation, anand temperature from models.

 Develop automated techniques for extracting habita

surfaces for individual stage lines or depth zones b

GOAL 2: Conduct change detection on fine-grained sed

deposits, vegetation and sand-bounded backwaters
FY2007-2008 REMOTE SENSING 

DASA 12.D6.08 

Integrated Analysis and Modeling-Mapp

Habitat Changes

SCIENCE QUESTIONS

 SSQ 3-9. How do varying flows positively or negativ

attributes that are important to visitor experience?

 SSQ 1-4. Is there a “Flow-Only” (non-sediment augm

that will restore and maintain sandbar habitats over 

 SSQ 4-2. How important are backwaters and vegetat

to the overall growth and survival of YoY and juvenithe long-term benefit of increasing these habitats oupotential costs (displacement and possibly mortality chub) associated with high flows?
FY2007-2008 REMOTE SENSING 

DASA 12.D6.08 

Integrated Analysis and Modeling-Mapp

Habitat Changes

OTHER SCIENCE QUESTIONS What is the rate of change in eddy storage (erosion) during time in What are the most appropriate methods for detecting change in sh

entire CRE given the available data sets collected using different tevs. digital), different platforms (Leica ADS-40/ISTAR vs. DMC/3001, resolutions (30cm vs. 22cm vs. 18cm)? 

 What level of change can be detected in shoreline habitat using rem

in the past 5 years? What changes have occurred to the shoreline past 5 years? 

 Where have the most significant changes taken place in shoreline 

past 5 years, and within which shoreline habitat classes are the modoes the shoreline habitat relate to backwater environments/habitachanges in backwater abundance/size/shape over the past 5 years

 As historical analog over flights become available in digital format

extended back to previous years?
FY2007-2008 REMOTE SENSING 

DASA 12.D6.08 

Integrated Analysis and Modeling-Mapp

Habitat Changes

Work Plan Products Surface texture classifications for entir Vegetation classification for entire rive Surficial geomorphic classifications (c

fan, and cobble Bar) for entire river cor

 Final composite shoreline classificatio

computer programs for extracting shorattributes. 
FY2007-2008 REMOTE SENSING 

DASA 12.D6.08 

Integrated Analysis and Modeling-Mapp

Habitat Changes

Additional Products (if time per Update and extend USU backwater time 

year 2005. 

 Near-shore habitat statistical summarie

flow regimes in the CRE between Lees Diamond Creek. 
U.S. Department of the Interior

U.S. Geological Survey

0

10,00020,00030,00040,00050,00060,000

Sand Bar Area (m

2

)

Year

1996 Beach/HabitatBuilding Flow

2004 

Experim

High Elevation (>25,000 ft3/s)

Mid + High Elevation (>8,000 ft3/s)

Mid Elevation (8,000 - 25,000 ft3/s

1990 1993 1996 1999 2002 

Three components that we must understand 

size of bars: gains by floods, rates of erosio
Habitat and Sub Adult Humpba

Converse, Y.K., Hawkins, C.P. and V

1998.

Sub adult humpback chub sam

electro-fishing.

 Vegetation, talus and debris fan shorel

more cover and greater fish densities tcobble and sand shorelines.
Mainstem backwaters MAY ben

humpback chub - Warming in 

areas.Cover along 

- Seining trip

Chub in ba

- Seining res

to electro-falways pos
Geomorphic features are being delineated as polygo

river corridor. These will be complete by the en
Texture (roughness), sand & vegetation are compl

to Diamond Creek for May, 2002 and May, 2

Sand

V

CoarseMaterial

May, 2005 Imagery

Prelimina
SAND 

BrightnessTexture

30 UnsupervisedClasses

2 by 2 cellFocal standardDeviation
Automated programs for extracting h

from these surfaces for individual stage lin

will be completed by the end of 

Sand

Vegetation

CoarseMaterial

8,000 cfs

20,000 cfs

Length, area and surfacetype can be extracted for one or more virtual shorelines. Completion by end of FY08.

May, 2005 Imagery

Virtual shorelines are aproduct of the HEC-RASstep back flow model.

Prelimina
Virtual Shorelines

One-Dimensional Step-Backwater Model (HGIS Virtual Shoreline Program
Surface Profile Hec-Ra

2,690 Cross-SISTAR elevatioInterpreted pro
Virtual Shoreline Construction: Gran

Water surface elevations at any discharge...1. Modeled at cross sections above & below cons2. Linear interpolation at 5-meter intervals betwee3. Assigned laterally to DEM grid cells across cor4. Subtract water surface from DEM. Negative val

1

2

3


Sand & Vegetation Have Been Class

Ferry to Diamond Creek for May, 2002 

Classified Image

May, 2002 Image 

Fence FaultRiver Mile 30

Prelimina
Sand & Vegetation Have Been Class

Ferry to Diamond Creek for May, 2002 

Classified Image

May, 2002 Image

Carbon CreekRiver Mile 65

Preliminary 
Sand & Vegetation Have Been Class

Ferry to Diamond Creek for May, 2002 

Classified Image

May, 2002 Image

Crystal CreekRiver Mile 99

Prelimina
RIVER MILE 49: COMPARISON OF MAY

2005 SAND & VEGETATION A

May, 2002 May, 2005 

Preliminary system-wide analysis comple

Prelimina

Deposition

Erosion
RIVER MILE 64: COMPARISON OF MAY

2005 SAND & VEGETATION A

May, 2002 May, 2005 

Preliminary system-wide analysis comple

Prelimina

Deposition

Erosion
PRELIMINARY SYSTEM-WIDE CHANGE 

ABOVE 8,000 CFS: MAY, 2002 TO M

Prelimina
Shoreline Habitat Polygons.

Embayments with differing hydraulic, thermal and biotic characteristics.Completed for the entire river corridor May, 2002 and May, 2005 imagery.
Riffle

Broad shallow area

Backwater

20.4C

18.5-20.7C

<13.5 >19.1

RM 68 Thermal infared image 7/25/00

2000 Low SumFlow test: shoreline tem

RM 64.6LThermal In

<13.4C 
Shoreline Habitat Polygons 

Produced from an Automated Procedure for Closing 

Prelimina

May, 20
Shorel

Polygo

An autom

for delibackwashoreliimagery shoreli

 For eve

downst

 Select t

shoreli(promo
Shorel

Polygo

 Connec

merge wshoreli

 Resulti

enclose and heavarious shoreliand the

 Ratios 

length tare one comple
Shoreline Habitat Polygons R

Produced from an Automated Procedure for Closing O

Prelimina

May, 2002
U.S. Department of the Interior

U.S. Geological Survey

Habitat Polygon C

Between May, 200

2002 2

Preliminary data: subject to review and revision.
U.S. Department of the Interior

U.S. Geological Survey

Habitat Polygon C

Between May, 200

2002 2

Preliminary data: subject to review and revision.
U.S. Department of the Interior

U.S. Geological Survey

Distribution of Sand-Bounded Backwa

Lees Ferry to Diamond Creek.

Complete for May, 2002 and May, 2005.

May, 2004 backwaters have been mapped through R

Approximately 1/3 of the nearly Lees Ferry and Diamond Creebackwaters in one or more of t

LakeMead

Prelimina
Backw

Prod

Automat

Closing 

May, 2002

May, 2004 

Prelimina
QuickTimeTM and a

TIFF (Uncompressed) decompressor

are needed to see this picture.

TIFF (Unc

are nee

(S

0

10,00020,00030,00040,00050,00060,000

Sand Bar Area (m

2

)

1990 1993 
Backwater area depends on water stage and bar 
Automated classification of C

surface materials, shoreline tybackwater areas from remoteimagery is precise, objective a