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Hyperspectal Remote Sensing for Agriculture: A Review
Author(s) -
Prof. Smitha Vinod,
R. Ratnadeep
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017915185
Subject(s) - computer science , agriculture , remote sensing , data science , archaeology , geology , geography
Hyperspectral remote sensing is used for wide range of application. Hyperspectral data provides more than 200 narrow wavelength bands which provide significant information about all biological and chemical properties of material. Hyperspectral remote sensing is widely used in various applications like agricultural and soil research, mining application, crop management application, drought condition assessment, plant species classification, water body analysis, mineral analysis etc. This paper mainly reviews the concept of hyperspectral remote sensing; processing of hyperspectral data; different vegetation indices defined by researcher; the applications of hyperspectral data for agricultural. General Terms Hyperspectral Remote Sensing

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