Paper
25 September 2001 Dynamic analysis of hyperspectral vegetation indices
Bing Zhang, Xia Zhang, Tuanjie Liu, Genxing Xu, Lanfen Zheng, Qingxi Tong
Author Affiliations +
Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441363
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
Crop physiology analysis and growth monitoring are important elements for precision agriculture management. Remote sensing technology supplies us more selections and available spaces in this dynamic change study by producing images of different spatial, spectral and 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, Multi-temporal Index Image Cube (MIIC) is proposed, which is an effective data structure for the parameterization of multi-dimensions spectral curve. MIIC is very useful for supporting the dynamic analysis on vegetation phenological and physiological characters. Based on multi-temporal meteorological satellite data and multi-temporal ground spectral measurement data, the temporal characters of different vegetation physiological parameters are contrasted and analyzed from temporal index image cube. In addition, MIIC also has very wide use in hyperspectral remote sensing applications.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bing Zhang, Xia Zhang, Tuanjie Liu, Genxing Xu, Lanfen Zheng, and Qingxi Tong "Dynamic analysis of hyperspectral vegetation indices", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441363
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Cited by 2 scholarly publications.
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KEYWORDS
Vegetation

Nitrogen

Remote sensing

Reflectivity

Agriculture

CCD cameras

Meteorological satellites

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