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Lake water body maps in Qinghai lake, Nam Co,Poyang lake,Ayakekum and Wuliangsuhai based on MODIS


XU Rong1ZHANG Zengxiang2ZHAO Chunzhe1
1School of Computer Science and Engineering,Chongqing Three Gorges University,Chongqing 4040002Institute of Remote sensing and Digital Earth,CAS,Beijing 100094

DOI:10.3974/geodb.2016.02.09.V1

Published:May. 2016

Visitors:1366       Data Files Downloaded:77      
Data Downloaded:463.35 MB      Citations:

Key Words:

MODIS NDWI model,Band Difference Model,FAI model,Lake Data Validation,Remote Sensing Information

Abstract:

In order to validate the MODIS based water body recognition and the suitability of the mathematical models for recognizing water bodies, five lakes in China, the Qinghai Lake in Qinghai Province, Nam Co in Tibet, Poyang Lake in Jiangxi Province, Ayakekum in Xinjiang Autonomous region and Wuliangsuhai in Inner Mongolia, were selected for the data validation lakes. Three models are used for the research, they are: the combined model of NDWI and NIR, the band difference model and the FAI (Floating Algae Index) model. The Landsat TM/ETM data are used for the validation. The dataset includes three data files, (1) the date of the MODIS and Landsat TM/ETM , (2) statistics of the lakes area with three models and validation data; (3) spatial data of the lakes with three models and the validation data. The data was archived in .xlsx, .shp and .tiff formats, the compressed data size is 6.01MB. The research paper was published in the journal of Remote Sensing Information, No. 1, Vol.30, 2015.

Foundation Item:

Data Citation:

XU Rong,ZHANG Zengxiang,ZHAO Chunzhe.2016.Lake water body maps in Qinghai lake, Nam Co,Poyang lake,Ayakekum and Wuliangsuhai based on MODIS ( RSLakeDataValidationChina ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2016.02.09.V1

Data Product:

ID Data Name Data Size Operation
1 RSLakeDataValidationChina.rar 6161.97kb 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