NDLI: Assimilation of VGT and AVHRR NDVI data to build long series dataset

Content Provider	IEEE Xplore Digital Library
Author	Chenglin Liu Binfang Wu Feng Zhang
Copyright Year	2003
Description	Author affiliation: Inst. of Remote Sensing Appl., Chinese Acad. of Sci., Beijing, China (Chenglin Liu; Binfang Wu; Feng Zhang)
Abstract	This paper describes the assimilation methods and results of SPOT-VGT and NOAA/AVHRR NDVI data in order to build a time series dataset for many applications such as monitoring crops. In our process, we have five years of VGT data and ten years of AVHRR data, we select five-year series of these two datasets during the same period. We first build the AVHRR dataset from raw data through standardized methods, retrieve the environmental variables such as NDVI and temperature. Then we use the overlap datasets to create the VGT and AVHRR relationship. This relationship was used to extent the VGT dataset back to 1991. The relation coefficient and variety are also studied to analyze spatial diversities of the two datasets. Three levels are studied including pixel, stratum and province levels.
Starting Page	3577
Ending Page	3579
File Size	1413211
Page Count	3
File Format	PDF
ISBN	0780379292
DOI	10.1109/IGARSS.2003.1294859
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-21
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation mapping Infrared image sensors Clouds Remote sensing Monitoring Crops Biosensors Temperature Satellite broadcasting Thermal sensors
Content Type	Text
Resource Type	Article

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