NDLI: Vegetation index-surface temperature feature space and its application

Content Provider	IEEE Xplore Digital Library
Author	Jiang Dong Wang Jianhua Wang Naibin Yang Xiaohuan
Copyright Year	2001
Description	Author affiliation: Inst. of Geographic Sci. & Natural Resources Res., Acad. Sinica, China (Jiang Dong)
Abstract	Vegetation index and surface temperature are important parameters for describing the characteristics of land cover. More useful information will be created by integrated analysis of the two kinds of data together, which will be helpful for us to find out the main principles of the temporal and spatial variation of land cover/land use. The paper focuses on physical connotation and ecological meaning of the vegetation index-surface temperature feature space, analyzes the temporal variation of different types of land cover in this feature space using NOAA AVHRR remote sensing data, and does much site work on the relationship between water index and winter wheat yield in North China. The following views are set forth and tested based on these data: (1) a large area and long time series of land surface parameters can be retrieved from remotely sensed information; (2) different types of land cover have different characteristics in the vegetation index-surface temperature feature space; (3) water index, which is derived from vegetation index and surface temperature, turns out to be a good indicate of the growing situation of crops.
Sponsorship	China Assoc. Sci. & Technol.(CAST)
Starting Page	121
Ending Page	126
File Size	350237
Page Count	6
File Format	PDF
ISBN	0780370104
DOI	10.1109/ICII.2001.982732
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Water Land surface Crops Vegetation Information retrieval Land surface temperature Remote sensing Information analysis Testing
Content Type	Text
Resource Type	Article

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