Dataset List

Vol.|Area

Data Details

Monthly NPP 1 km Raster Dataset of China’s Terrestrial Ecosystems (1985-2015)


CHEN Pengfei1
1 Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

DOI:10.3974/geodb.2019.03.02.V1

Published:Mar. 2019

Visitors:33821       Data Files Downloaded:11366      
Data Downloaded:4118506.99 MB      Citations:

Key Words:

China,terrestrial ecosystem,net primary productivity,1985-2015,remote sensing

Abstract:

Using the Carnegie-Ames-Stanford Approach (CASA) model integrating with the monthly meteorological records from 1985 to 2015, national soil texture data, land cover and NDVI covering the area between 18°N and 53.5°N, 65°E and 138°E, the monthly Net Primary Productivity (NPP) data for the China’s terrestrial ecosystems from 1985 to 2015 was developed. The dataset was archived in .tif data format in 1 km x 1 km pixels; it is consisted of 1,448 data files with data size of 28.2 GB (compressed into six files with data size of 2.07 GB). The analysis paper based on the dataset was published at the journal of Remote Sensing, No. 9, 2017.Browse

Foundation Item:

Ministry of Science and Technology of P. R. China(2014FY210100);National Natural Science Foundation of China (41871344)

Data Citation:

CHEN Pengfei. Monthly NPP 1 km Raster Dataset of China’s Terrestrial Ecosystems (1985-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2019. https://doi.org/10.3974/geodb.2019.03.02.V1.

Chen, P. F. Monthly NPP Dataset Covering China’s Terrestrial Ecosystems at North of 18°N (1985–2015) [J]. Journal of Global Change Data & Discovery, 2019, 3(1): 34-41. DOI: 10.3974/geodp.2019.01.05.

Data Product:

ID Data Name Data Size Operation
0Datapaper_ChinaNPP_1985_2015.pdf509.00kbDownLoad
1 ChinaNPP_1985_1990.rar 347237.72KB
2 ChinaNPP_1991_1995.rar 289705.12KB
3 ChinaNPP_1996_2000.rar 312903.30KB
4 ChinaNPP_2001_2005.rar 403043.93KB
5 ChinaNPP_2006_2010.rar 407156.04KB
6 ChinaNPP_2011_2015.rar 413313.64KB
Co-Sponsors
Superintend