Land channels Specification (VNIR, SWIR, MTIR)

Relative Spectral Response of GLI 1km and 250m land channels
VNIR

SWIRVNIRSWIR

RSR of 1km land channels
RSR of 250m land channels
With typical spectral reflectance With typical spectral reflectance
7 VNIR land channels
3 SWIR land channels
5 MTIR land channels

4 VNIR land channels
2 SWIR land channels
These channels are quite similar to Landsat/TM

GLI 1km land algorithm on higher processing and products
L1B -VNIR(ch.1,5,8,13,15,17,19)

LTSKG

PGCP
PGCP

Dr. T. Hashimoto(NASDA/EORC)

L1B-SWIR(ch.24,26,27,28,29)
L1B-MTIR(ch.30,31,34,35,36)

LTSK10L2A_LCL2A_LC

16daysCompositedreflectance

ACLC
ACLC

AtmosphericallyCorrected
reflectance(after validation)

GCP_lib

CloudFlag
Flag
Cloud
[scene][scene]Precise Geometric
Correction Paramter

Dr.A. Huete(UoA)
GSHHS

Dr. S. Ackerman
Dr. K. Stamnes
NOAA
TOVS
GTOPO30

GTOPO30LTSK1
Dr.A. Huete(UoA)

LTSK9

VGI
VGI

Vegetation Index
VGI(NDVI,EVI)

Dr.A. Huete(UoA)

L3LSMap

Vegetation Index
VGI
VGI
VGI(NDVI,EVI)(L3StaMap)(L3StaMap)

Dr.A. Huete(UoA)

1 . GLI 1km Precise Geometric Correction
GSHHS
GSHHS(coastaldata)
data)(coastal

GCPliblib
GCP

GTOPO30
GTOPO30

PGCI
PGCI

L1B
L1B
※GLI sensor scans from east to west.

CLFLG
CLFLG

PGCP
PGCP

2. GLI 1km Composite for cloud free data (CVMVC)
Day1 View Angle Work1 Many land users use MVC
PGCI

Day3

View Angle

maximum
NDVI

Temp

・・・

PGCI

Work2

PGCI

Work1 Work2
VI(1)>VI(2)View Angle

Day16

NDVITemp

Work1 Work2
VI(1)>VI(2)Reason of using CVMVC is …
1. Maximum NDVI can detect cloud free pixels
2. Maximum NDVI can also detect higher
satellite zenith angle pixels, which iseffected by surface BRDF.
3. Selected pixel should be satisfied with bothof lower satellite zenith angle andmaximum NDVI.

・・・

PGCI

Day2 View Angle(Maximum Value Composite).
-> without considering of view angle

View Angle

16day composite
Days: 1 to 16

TOA reflectance

CVMVC (constraint viewangle maximum value Composite)

L2A_LC3. GLI 1km Atmospheric Correction(remove Ozone Absorption, Rayleigh Scattering)
L2A_LCGTOPO30

Rayleigh Scattering

NOAA
TOVS

Ozone Absorption
ACLC

Solution 1.

This algorithm will
be applied after
CAL/VAL phase(Dec., 2003) .

Much of the computation during
atmospheric correction requires intensive
CPU time due to floating point processing.

L2A_LC leaves the STSG (Sun-TargetSensor Geometry) data.
Atmospheric corrected reflectance can beapplied after composite.

Solution 2.

Optical depth of molecular scattering and
STSG conditions can be expressed by LUT(Look-Up table) using standard
atmospheric model and elevation (dependson temperature and pressure).

4. GLI 1km Vegetation Index (NDVI, EVI)L2A_LCorACLC

VGI(NDVI,EVI)

Normalized Difference Vegetation Index (NDVI ):-> "continuity index"
This index could be extended to provide a longer term
data for use in operational monitoring studies.
Enhanced Vegetation Index (EVI):-> “optimized index”
This index can enhance the vegetation signal withimproved sensitivity in high biomass regions andimproved vegetation monitoring through a decoupling of
the canopy background signal and a reduction inatmospheric effects

GLI 250m land higher algorithm ( Ongoing )The example of applying 1km ozone & rayleigh correction algorithm to 250m data

Before RGB= (Ch.22,21,20)

After RGB= (Ch.22,21,20)

These images are captured on May 3, 2003.
And these are RGB radiance images with linear stretch equally to each channels.

1km and 250m RSR with gaseous transmittance

1km red and NIR RSR withgaseous transmittance

250m red and NIR RSR withgaseous transmittance

Red and NIR 250m channels have
SENSITIVITY OF ATMOSPHERIC COMPENSATION (Water Vapour etc.)
The characteristics of GLI 1km NDVI and GLI 250m
NDVI may be different.
Radiance and reflectance will be evaluated using
other sensors and validation data.

GLI Land Validation Site
897 4

1

6

1:Mandalgovi（Mongolia）
2:Amburla（Australia）
3:New Mexico（US）
4:Mt. Yatsu（JApan）
5:Mili（Malaysia）
6:Ho-Chi-Minh（Vietnum）
7:Kii（Japan）
8:Tomakomai（Japan）
9:Appi(Japan)

52

L2A_LCACLC

3VGI(NDVI,EVI)

Validate and investigate thesensibility of vegetation physicalparameters for GLI higher products

Spectral Reflectance Data
Spectral reflectance data of Various Objects on the groundExample of simulation results
No atmosphericcorrected

Atmospheric effect

GLI 1km NDVI

Atmospheric effect

GLI 250m NDVIThese results derived from 6S RTM andspectral reflectance data obtained by Chiba
Univ. and UoA field experiment data.