NDLI: Crop growth monitoring study by using multi-temporal index image cube analysis

Content Provider	IEEE Xplore Digital Library
Author	Tong Qingxi Zhang Xia Zhang Bing Wang Jihua
Copyright Year	2002
Description	Author affiliation: Lab. of Remote Sensing Inf. Sci., Acad. Sinica, Beijing, China (Tong Qingxi; Zhang Xia; Zhang Bing)
Abstract	Crop physiology analysis and growth monitoring are of great importance for precision agriculture. Remote sensing technology supplies us with more selections and available spaces in this dynamic change study by producing images of different spatial, different spectral and different temporal resolutions. Especially, the remote sensing data of high spectral and high temporal resolution will play a key role in land cover studies at national, regional and global scales. In this paper, a new effective data structure conception, temporal index image cube (MIIC) is proposed in aid of the parameterization of the multi-dimension spectral curve. MIIC is proved very useful for the dynamic analysis of vegetation. Based on multi-temporal meteorological satellite data and multi-temporal ground spectral measurements, the temporal characteristics of different vegetation physiological parameters are contrasted and analyzed from the temporal index image cube. It turned out, each crop has its differentiated temporal index curve. Based on this multi-temporal index image cube, the classification and identification on various crops is very practicable. Some spectral indices perform fairly well on monitoring the growth situation of crops. But more efforts still should be made to develop new effective and general spectral indices, which will be more sensible to land cover types and the growth situation, moreover, it will screen the effects of atmosphere and background to a large extent.
Sponsorship	Chinese Inst. Commun Chinese Inst. Electron. Univ. Electron. Sci. & Technol. China
Starting Page	1596
Ending Page	1601
File Size	442333
Page Count	6
File Format	PDF
ISBN	0780375475
DOI	10.1109/ICCCAS.2002.1179083
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Image resolution Space technology Crops Vegetation mapping Data structures Physiology Agriculture Spatial resolution Remote monitoring
Content Type	Text
Resource Type	Article

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