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1 km/5 day Leaf Area Index Product over China and the Association of Southeast Asian Nations for 2013


LI Jing1LIU Qinhuo1YIN Gaofei1,2ZHONG Bo1WU Shanlong1PENG Jingjing1
1 The State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences2 Institute of Mountain Hazards and Environment,Chinese Academy of Sciences

DOI:10.3974/geodb.2015.01.18.V1

Published:Jun. 2015

Visitors:12914       Data Files Downloaded:3909      
Data Downloaded:1094533.31 MB      Citations:

Key Words:

Leaf area index (LAI),Multi-sensor fusion,China,Association of Southeast Asian Nations (ASEAN)

Abstract:

Leaf area index (LAI), defined as one sided green leaf area per unit ground area in broadleaf canopies and as the projected needle leaf area in coniferous canopies, is a critical structural variable for quantifying the interaction between the land surface and atmosphere. The 1 km/5-day leaf area index product over China and the Association of Southeast Asian Nations (ASEAN) was generated using multiple datasets, including Terra/MODIS, Aqua/MODIS, NOAA18/AVHRR, FY3A/VIRR, FY3B/VIRR, FY-3A/MERSI, and FY-3B/MERSI. The proposed multi-sensor fusion algorithm comprises of a set of Neural Networks tailored to various combinations of data quality, DEM, and land covers. The quality of LAI product was assessed based on model simulations, in-situ LAI measurements conducted in the upper and middle reaches of the Heihe River Basin in China, and the inter-comparisons against other LAI products (MODIS, GEOV1 and GLASS). Results show that the produced LAI have a higher accuracy and improved spatiotemporal continuity. The product is produced and distributed in 40 adjacent non-overlapping Sinusoidal tiles that are approximately 10°x10° (at the equator). The data format is *.tif which is compressed into 19 zip files totaling 5.17 GB. The data type is 16-bit signed integer, the scale factor is 0.01, and the unit is m2/m2.

Foundation Item:

Data Citation:

LI Jing, LIU Qinhuo, YIN Gaofei, ZHONG Bo, WU Shanlong, PENG Jingjing. 1 km/5 day Leaf Area Index Product over China and the Association of Southeast Asian Nations for 2013[J/DB/OL]. Digital Journal of Global Change Data Repository, 2015. https://doi.org/10.3974/geodb.2015.01.18.V1.

Data Product:

ID Data Name Data Size Operation
1 H23V04.zip 209396.19KB
2 H23V05_H24V04.zip 302816.59KB
3 H24V05_H25V03.zip 316650.58KB
4 H24V06.zip 219867.51KB
5 H25V04_H25V05.zip 280676.25KB
6 H25V06.zip 310199.43KB
7 H26V03_H26V07_H27V04.zip 297794.81KB
8 H26V04.zip 258394.58KB
9 H26V05.zip 284561.28KB
10 H26V06.zip 306425.94KB
11 H27V05.zip 233647.54KB
12 H27V06.zip 327813.14KB
13 H27V07_H27V08_H27V09_H28V04.zip 293861.84KB
14 H28V05_H28V06.zip 283781.42KB
15 H28V07_H28V08_H28V09.zip 336419.73KB
16 H29V05_H29V06_H29V07_H29V08.zip 241890.12KB
17 H29V09_H29V10_H30V07_H30V08_H30V09.zip 313724.97KB
18 H30V10_H31V08_H31V09.zip 314737.09KB
19 H31V10_H32V09.zip 299033.15KB
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