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1 km/5 d Leaf Area Index dataset at 1km Resolution in the Belt and Road and Surround Region (2014)


LI Jing1LIU Qinhuo1ZHAO Jing1LIN Shangrong1ZHONG Bo1WU Shanlong1
1State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China

DOI:10.3974/geodb.2017.04.07.V1

Published:Nov. 2017

Visitors:3749       Data Files Downloaded:393      
Data Downloaded:261183.26 MB      Citations:

Key Words:

The Belt and Road,LAI,1 km,2014

Abstract:

The 1 km/5 d Leaf Area Index dataset at 1km Resolution in the Belt and Road and Surround Region (2014) is one of a series of the 1 km/5 d Leaf Area Index datasets at 1 km Resolution in the Belt and Road and Surround Region. Leaf area index (LAI) is an important indicator for quantifying the exchange processes of energy and matter between the land surface and atmosphere. The dataset was developed based on the pre-processing data integrated from the six sensors, including Terra/MODIS, Aqua/MODIS, FY3A/VIRR, FY3B/VIRR, FY-3A/MERSI, and FY-3B/MERSI, as well as referenced with DEM and GlobeLand30 (CHEN Jun, 2010), as well as the LAI inversion algorithm based on the lookup table (LUT) which simulated from the stochastic radiative transfer model. The projection of the dataset is Sinusoidal, the data format is *.tif (TIFF). The dataset is consisted of two kinds of data files: one is the integrated data for outliers and no-data replaced and the other one is the 1 km/5 d LAI data. The dataset is archived by 10°x10° tiles. There are 30670 data files in total, which was compressed into 12 data file packages (monthly based). The total data size is 61.78GB, compressed data size is 8.12 GB。

Foundation Item:

Ministry of Science and Technology of P.R. China (2012AA12A304; 2012AA12A305; 2013AA12A301)

Data Citation:

LI Jing,LIU Qinhuo,ZHAO Jing,LIN Shangrong,ZHONG Bo,WU Shanlong.1 km/5 d Leaf Area Index dataset at 1km Resolution in the Belt and Road and Surround Region (2014)[DB/OL].Global Change Research Data Publishing & Repository,2017.DOI:10.3974/geodb.2017.04.07.V1.

Data Product:

ID Data Name Data Size Operation
1 MuSyQ_LAI_1km_201401.rar 725219.03KB
2 MuSyQ_LAI_1km_201402.rar 533298.19KB
3 MuSyQ_LAI_1km_201403.rar 653635.21KB
4 MuSyQ_LAI_1km_201404.rar 664254.26KB
5 MuSyQ_LAI_1km_201405.rar 824569.95KB
6 MuSyQ_LAI_1km_201406.rar 741475.54KB
7 MuSyQ_LAI_1km_201407.rar 755176.76KB
8 MuSyQ_LAI_1km_201408.rar 751163.65KB
9 MuSyQ_LAI_1km_201409.rar 708339.26KB
10 MuSyQ_LAI_1km_201410.rar 667255.08KB
11 MuSyQ_LAI_1km_201411.rar 621442.08KB
12 MuSyQ_LAI_1km_201412.rar 600607.62KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum