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Remote Sensing Based Forest Phenology Data of Northeast of China


YU Xinfang1ZHUANG Dafang1WANG Qiankun1
1Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

DOI:10.3974/geodb.2014.01.14.V1

Published:Jun. 2014

Visitors:4990       Data Files Downloaded:630      
Data Downloaded:3062.53 MB      Citations:

Key Words:

MODIS-EVI,forest,phenology,Northeast of China

Abstract:

Phenology is a discipline and a comprehensive indicator of vegetation cycles and their responses to climate and environment changes. Forest Phenology is a comprehensive biological index to reflect the influence of short-term or long-term climate change on forest growth stages. With aid of remote sensing technology, we develop a model to calculate the data from phenological observation points into region scale. MODIS provides time-series information both in seasonal and annual changes to study the phenology. Based on MODIS Enhanced Vegetation Index (EVI) from 2000-2010, we extracted forest phenological variables using percentage thresholds method in Northeast China, which include start of growing season (SOS), end of growing season (EOS) and length of growing season (LOS). The phenological data from published papers and field observed data in the same area were used to validate the results. The validation indicate that forest phenophase from MODIS EVI data is feasible.Browse

Foundation Item:

National Natural Science Foundation of China: 41001279; Chinese Academy of Sciences: XDA05050102

Data Citation:

YU Xinfang,ZHUANG Dafang,WANG Qiankun.2014.Remote Sensing Based Forest Phenology Data of Northeast of China ( Forest phenology products_NE China ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2014.01.14.V1

Data Product:

ID Data Name Data Size Operation
0Datapaper_Forest phenology products_NE China.pdf2104.00kbDownLoad
1 db_Phendata.pdf 637.14kb DownLoad
2 Forest phenology products_NE China.rar 18279.92kb DownLoad
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