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

1The State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth，Chinese Academy of Sciences2Institute of Mountain Hazards and Environment，Chinese Academy of Sciences

DOI:10.3974/geodb.2015.01.18.V1

Published:Jun. 2015

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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[DB/OL].Global Change Data Repository,2015.DOI:10.3974/geodb.2015.01.18.V1.

Data Product: