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1 km/5 d Leaf Area Index dataset at 1km Resolution in the Belt and Road and Surround Region (2013)


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

DOI:10.3974/geodb.2017.04.06.V1

Published:Nov. 2017

Visitors:3625       Data Files Downloaded:415      
Data Downloaded:277796.42 MB      Citations:

Key Words:

The Belt and Road,LAI,1 km,2013

Abstract:

The 1 km/5 d Leaf Area Index dataset at 1km Resolution in the Belt and Road and Surround Region (2013) 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 30684 data files in total, which was compressed into 12 data file packages (monthly based). The total data size is 61.81GB, compressed data size is 8.09 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 (2013)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2017. https://doi.org/10.3974/geodb.2017.04.06.V1.

Data Product:

ID Data Name Data Size Operation
1 MuSyQ_LAI_1km_201301.rar 716603.93KB
2 MuSyQ_LAI_1km_201302.rar 530077.16KB
3 MuSyQ_LAI_1km_201303.rar 644648.10KB
4 MuSyQ_LAI_1km_201304.rar 649212.56KB
5 MuSyQ_LAI_1km_201305.rar 816571.98KB
6 MuSyQ_LAI_1km_201306.rar 737463.03KB
7 MuSyQ_LAI_1km_201307.rar 754431.08KB
8 MuSyQ_LAI_1km_201308.rar 754877.94KB
9 MuSyQ_LAI_1km_201309.rar 706608.29KB
10 MuSyQ_LAI_1km_201310.rar 669572.02KB
11 MuSyQ_LAI_1km_201311.rar 630007.24KB
12 MuSyQ_LAI_1km_201312.rar 599069.07KB
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