NDLI: Combining Spot4-vegetation and meteorological data derived land cover map in China

Content Provider	IEEE Xplore Digital Library
Author	Wu Bingfang Xu Wenting Huang Huiping Yan Changzhen Xu Wenbo
Copyright Year	2004
Description	Author affiliation: Inst. of Remote Sensing Applications, Chinese Sci. Acad., Beijing, China (Wu Bingfang; Xu Wenting; Huang Huiping; Yan Changzhen; Xu Wenbo)
Abstract	The global version of the 1km spatial resolution land cover map have been finished at the end of 2003, which is initiated by the European Commission's Joint Research Center, named Global Land Cover 2000 Project (GLC-2000). As a part of GLC2000, the China window has been developed with the 10-day composite SPOT VGT NDVI data over a period of 01 January 2000 to 31 December 2000, DEM and the Meteorological data (Multi-annual average temperature, multi-annual average precipitation data) collected from 313 weather stations distributed over the China from 1971 to 2000. In order to remove cloud contamination and interpolate the missing data masked by cloud, the Harmonic Analysis of Time Series (HANTS) was applied to NDVI data. With the assistance of Erdas ISODATA algorithm, the classification has been carried out, and 22 types of land cover has labeled in the whole China by interpreting according to the Land Cover Classification System (LCCS) developed by the UN Food and Agriculture Organization (FAO) in the framework of the AFRICOVER project. Preliminary comparisons with the statistic data from Chinese Statistics Bureau and TM data show very promising results, and the accuracv assessment of the GLC-2000 is underway.
Starting Page	2672
Ending Page	2675
File Size	609050
Page Count	4
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1369850
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Meteorology Databases Clouds Remote sensing Spatial resolution Statistics Resource management Satellites Ecosystems Land surface temperature
Content Type	Text
Resource Type	Article

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