Spectral discrimination and separability analysis of agricultural crops and soil attributes using ASTER imagery

Apan, Armando and Kelly, Rob and Jensen, Troy and Butler, David and Strong, Wayne and Basnet, Badri (2002) Spectral discrimination and separability analysis of agricultural crops and soil attributes using ASTER imagery. In: 11th Australasian Remote Sensing and Photogrammetry Conference (ARSPC2002): Images to Information, 2-6 Sept 2002, Brisbane, Australia.

Abstract

There are growing interests on how Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) image data could be used for various applications. ASTER offers improved spatial, spectral and radiometric resolutions. Hence, our purpose was to evaluate the utility of multispectral ASTER imagery in the discrimination and mapping of agricultural crops, soil and related land cover types. Four agricultural land cover attributes were specifically considered for spectral separability assessment and mapping: crop type, crop growth stages, soil colour and soil texture.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Unable to find evidence to prevent deposit of article.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 07 Nov 2016 02:43
Last Modified: 09 Apr 2018 06:05
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070104 Agricultural Spatial Analysis and Modelling
URI: http://eprints.usq.edu.au/id/eprint/29639

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