Above Ground Biomass (AGB)
[DOI: 10.57746/EO.01gs73b381zkyks9zgkyjj6grs]

Introduction

AGB Definition: Dry weight of above-ground vegetation
Unit t/ha
ATBD Ver.1 (Mar. 2015)
Ver.2 (To be uploaded)
Ver.3 (To be uploaded)
VRI Definition An index indicating plant vertical structure observed from multi-angle directions.
Unit none
ATBD Ver.1 (Mar. 2015)
Ver.2 (To be uploaded)
Ver.3 (To be uploaded)

Update contents of Ver.2

  • ・Improved the algorithm and the period of input data (RSRF)
  • ・Modified QA flag

Update contents of Ver.3

  • ・Accuracy improvement using satellite vegetation LIDAR "GEDI" (LUT updated)

Sample image

File format Ver.1 Ver.2 Ver.3
hdf5 To be uploaded
AGB_K(1km)
AGB_K(1km)
Image To be uploaded
AGB_K(1km)
VRI_K(1km)
AGB_K(1km)
VRI_K(1km)

Dataset name

Ver.1,2,3 Description
AGB Above Ground Biomass
VRI Vegetation Roughness Index
QA_flag

QA_flag information

Ver.1 Ver.2,3 Ver.1(Sample Image) Ver.2,3(Sample Image)

Bit Data name Description AGB_L3_mask* VRI_L3_mask*
0 no data 1: any of used bands are error 1 1
1 land/water 0: water >50%, 1: land > 50% 0 0
2 mixed with land/water 1: land and water > 1% 0 0
3 cloud 1: cloud > 20% 1 1
4 probably cloud 1: probably cloud > 20% 0 0
5 snow or ice 1: snow or ice > 20% 0 0
6 bad input 1: bad input 0 0
7 backup algorithm 1: AGB was retrieved by LUT method 0 0
8 quality level by DEM quality level by DEM 0 0
9 quality level by DEM quality level by DEM 0 0
10 Sensor zenith angle is large 1: sensor zenith angle for VN is large 1 1
11 low quality 1: low quality 1 1
12 spare reserved 0 0
13 spare reserved 0 0
14 spare reserved 0 0
15 spare reserved 0 0

 * Bits masked by statistical processing are indicated by 1.

 Please refer to here to the detail information for QA flag.

Bit Data name Description AGB_L3_mask* VRI_L3_mask*
0 no data 1: any of 4x4 of 250m pixels are no data 1 1
1 land/water 1: all of 4x4 of 250m pixels are land 0 0
2 mixed with land/water 1: any of 4x4 of 250m pixels are water and coast 0 0
3 cloud 1: any of 4x4 of 250m pixels are cloud or probably cloud 1 1
4 probably cloud/high tau-a 1: any of 4x4 of 250m pixels are cloud/probably cloud/high tau 0 0
5 snow or ice 1: any of 4x4 of 250m pixels are snow or ice 0 0
6 bad input 1: any of 4x4 of 250m pixels are no_data 0 0
7 backup algorithm 1: backup algorithm was used 0 0
8 quality level by DEM quality level by DEM 0 0
9 quality level by DEM quality level by DEM 0 0
10 bad geometry 1: sensor zenith angle for VN is large 1 1
11 low quality 1: low quality 1 1
12 alternative AGB 1: altenative AGB was assigend 0 0
13 LC might be changed 1: LC might be changed 0 0
14 pol cloud 1: pol cloud 0 0
15 spare reserved 0 0

 * Bits masked by statistical processing are indicated by 1.

 Please refer to here to the detail information for QA flag.

Attribute information

Ver.1,2,3 Attribute Remarks
Attribute of Image_data
Attribute of Image_data Grid_interval 0.00833333 1km: 0.00833333
Grid_interval_unit deg
Image_projection EQA (sinusoidal equal area) projection from 0-deg longitude
Number_of_pixels 1200 1km: 1200
Number_of_lines 1200
AGB
AGB
16-bit unsigned integer
Error_DN 65535
Minimum_valid_DN 0
Maximum_valid_DN 65533
Slope 0.1
Offset 0
Spatial_resolution 0.00833333 1km: 0.00833333
Data_description Above Ground Biomass
Unit t/ha
Spatial_resolution_unit degree
Mask_for_statistics 3081 Detail: QA_flag_information(~L3_mask)
VRI
VRI
16-bit unsigned integer
Error_DN 65535
Minimum_valid_DN 0
Maximum_valid_DN 65533
Slope 0.001
Offset 0
Spatial_resolution 0.00833333 1km: 0.00833333
Data_description Vegetation Roughness Index
Unit NA
Spatial_resolution_unit degree
Mask_for_statistics 3081 Detail: QA_flag_information(~L3_mask)

How to use

  • ・Physical quantity=DN*slope + offset
  • ・Valid values are during Minimum_valid_DN~Maximum_valid_DN