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Discrimination of maize crop with hybrid polarimetric RISAT1 data

OAR@ICRISAT

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Relation http://oar.icrisat.org/9531/
http://dx.doi.org/10.1080/01431161.2016.1184353
10.1080/01431161.2016.1184353
 
Title Discrimination of maize crop with hybrid polarimetric RISAT1 data
 
Creator Uppala, D
Venkata, R K
Poloju, S
Rama, S S M V
Dadhwal, V K
 
Subject Agriculture-Farming, Production, Technology, Economics
Maize
 
Description Microwave remote sensing provides an attractive approach to determine the spatial variability of crop characteristics. Synthetic aperture radar (SAR) image data provide unique possibility of acquiring data in all weather conditions. Several studies have used fully polarimetric data for extracting crop information, but it is limited by swath width. This study aimed to delineate maize crop using single date hybrid dual polarimetric Radar Imaging Satellite (RISAT)-1, Fine Resolution Stripmap mode (FRS)-1 data. Raney decomposition technique was used for explaining different scattering mechanisms of maize crop. Supervised classification on the decomposition image discriminated maize crop from other land-cover features. Results were compared with Resourcesat-2, Linear Imaging Self Scanner (LISS)-III optical sensor derived information. Spatial agreement of 91% was achieved between outputs generated from Resourcesat-2, LISS-III sensor and RISAT-1 data.
 
Publisher Taylor & Francis
 
Date 2016-05-25
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Rights —
 
Identifier http://oar.icrisat.org/9531/1/International%20Journal%20of%20Remote%20Sensing.pdf
Uppala, D and Venkata, R K and Poloju, S and Rama, S S M V and Dadhwal, V K (2016) Discrimination of maize crop with hybrid polarimetric RISAT1 data. International Journal of Remote Sensing, 37 (11). pp. 2641-2652. ISSN 0143-1161