Dataset List

Vol.|Area

Oceanic region
North American
Data Details

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

Visitors:2144       Data Files Downloaded:1311      
Data Downloaded:362152.20 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°×10° (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.2015.1 km/5 day Leaf Area Index Product over China and the Association of Southeast Asian Nations for 2013 ( MuSyQ-LAI-1km-2013 ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2015.01.18.V1

Data Product:

ID Data Name Data Size Operation
1 H23V04.zip 209396.19kb DownLoad
2 H23V05_H24V04.zip 302816.59kb DownLoad
3 H24V05_H25V03.zip 316650.58kb DownLoad
4 H24V06.zip 219867.51kb DownLoad
5 H25V04_H25V05.zip 280676.25kb DownLoad
6 H25V06.zip 310199.43kb DownLoad
7 H26V03_H26V07_H27V04.zip 297794.81kb DownLoad
8 H26V04.zip 258394.58kb DownLoad
9 H26V05.zip 284561.28kb DownLoad
10 H26V06.zip 306425.94kb DownLoad
11 H27V05.zip 233647.54kb DownLoad
12 H27V06.zip 327813.14kb DownLoad
13 H27V07_H27V08_H27V09_H28V04.zip 293861.84kb DownLoad
14 H28V05_H28V06.zip 283781.42kb DownLoad
15 H28V07_H28V08_H28V09.zip 336419.73kb DownLoad
16 H29V05_H29V06_H29V07_H29V08.zip 241890.12kb DownLoad
17 H29V09_H29V10_H30V07_H30V08_H30V09.zip 313724.97kb DownLoad
18 H30V10_H31V08_H31V09.zip 314737.09kb DownLoad
19 H31V10_H32V09.zip 299033.15kb DownLoad
主办单位
中国科学院地理科学与资源研究所    中国地理学会
协办单位
CODATA发展中国家任务组    肯尼亚JKUAT大学    国家地球系统科学数据共享平台    数字化林超地理博物馆