NDLI: Study on the utility of IRS-P6 AWiFS SWIR band for crop discrimination and classification

Content Provider	Springer Nature Link
Author	Panigrahy, Rabindra K. Ray, S. S. Panigrahy, S.
Copyright Year	2009
Abstract	This present study was conducted to find out the usefulness of SWIR (Short Wave Infra Red) band data in AWiFS (Advanced Wide Field Sensor) sensor of Resourcesat 1, for the discrimination of different Rabi season crops (rabi rice, groundnut and vegetables) and other vegetations of the undivided Cuttack district of Orissa state. Four dates multi-spectral AWiFS data during the period from 10 December 2003 to 2 May 2004 were used. The analysis was carried out using various multivariate statistics and classification approaches. Principal Component Analysis (PCA) and separability measures were used for selection of best bands for crop discrimination. The analysis showed that, for discrimination of the crops in the study area, NIR was found to be the best band, followed by SWIR and Red. The results of the supervised MXL classification showed that inclusion of SWIR band increased the overall accuracy and kappa coefficient. The ‘Three Band Ratio’ index, which incorporated Red, NIR and SWIR bands, showed improved discrimination in the multi-date dataset classification, compared to other SWIR based indices.
Starting Page	325
Ending Page	333
Page Count	9
File Format	PDF
ISSN	0255660X
Journal	Journal of the Indian Society of Remote Sensing
Volume Number	37
Issue Number	2
e-ISSN	09743006
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-10-22
Publisher Place	India
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	AWiFS SWIR band Crop discrimination Classification Three-band ratio index Remote Sensing/Photogrammetry Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Geography, Planning and Development

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