INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA

An attempt has been made in the current study to assess the potential of polarimetric SAR data for inventory of <i>kharif</i> rice and the major competing crop like cotton. In the process, physical process of the scattering mechanisms occurring in rice and cotton crops at different phono...

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Main Authors: P. Srikanth, K. V. Ramana, T. P. Shankar, K. K. Choudhary, K. Chandrasekhar, M.V.R. Seshasai, G. Behera
Format: Article
Language:English
Published: Copernicus Publications 2012-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/46/2011/isprsarchives-XXXVIII-8-W20-46-2011.pdf
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author P. Srikanth
K. V. Ramana
T. P. Shankar
K. K. Choudhary
K. Chandrasekhar
M.V.R. Seshasai
G. Behera
author_facet P. Srikanth
K. V. Ramana
T. P. Shankar
K. K. Choudhary
K. Chandrasekhar
M.V.R. Seshasai
G. Behera
author_sort P. Srikanth
collection DOAJ
description An attempt has been made in the current study to assess the potential of polarimetric SAR data for inventory of <i>kharif</i> rice and the major competing crop like cotton. In the process, physical process of the scattering mechanisms occurring in rice and cotton crops at different phonological stages was studied through the use of temporal Radarsat 2 Fine quadpol SAR data. The temporal dynamics of the volume, double and odd bounce, entropy, anisotropy, alpha parameters and polarimertic signatures, classification through isodata clustering and Wishart techniques were assessed. The Wishart (H<i>-a</i>) classification showed higher overall as well as rice and cotton crop accuracies compared to the isodata clustering from Freeman 3-component decomposition. The classification of temporal SAR data sets independently showed that the rice crop forecasting can be advanced with the use of appropriate single date polarimetric SAR data rather than using temporal SAR amplitude data sets with the single polarization in irrigated rice ecosystems
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spelling doaj.art-0f98762240534fab9ae4b785201134202022-12-21T23:21:49ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-08-01XXXVIII-8/W20464910.5194/isprsarchives-XXXVIII-8-W20-46-2011INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATAP. Srikanth0K. V. Ramana1T. P. Shankar2K. K. Choudhary3K. Chandrasekhar4M.V.R. Seshasai5G. Behera6ASAG, RS&GIS (AA), NRSC, Balanagar, Hyderabad, 500625, IndiaASAG, RS&GIS (AA), NRSC, Balanagar, Hyderabad, 500625, IndiaASAG, RS&GIS (AA), NRSC, Balanagar, Hyderabad, 500625, IndiaASAG, RS&GIS (AA), NRSC, Balanagar, Hyderabad, 500625, IndiaASAG, RS&GIS (AA), NRSC, Balanagar, Hyderabad, 500625, IndiaASAG, RS&GIS (AA), NRSC, Balanagar, Hyderabad, 500625, IndiaASAG, RS&GIS (AA), NRSC, Balanagar, Hyderabad, 500625, IndiaAn attempt has been made in the current study to assess the potential of polarimetric SAR data for inventory of <i>kharif</i> rice and the major competing crop like cotton. In the process, physical process of the scattering mechanisms occurring in rice and cotton crops at different phonological stages was studied through the use of temporal Radarsat 2 Fine quadpol SAR data. The temporal dynamics of the volume, double and odd bounce, entropy, anisotropy, alpha parameters and polarimertic signatures, classification through isodata clustering and Wishart techniques were assessed. The Wishart (H<i>-a</i>) classification showed higher overall as well as rice and cotton crop accuracies compared to the isodata clustering from Freeman 3-component decomposition. The classification of temporal SAR data sets independently showed that the rice crop forecasting can be advanced with the use of appropriate single date polarimetric SAR data rather than using temporal SAR amplitude data sets with the single polarization in irrigated rice ecosystemshttp://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/46/2011/isprsarchives-XXXVIII-8-W20-46-2011.pdf
spellingShingle P. Srikanth
K. V. Ramana
T. P. Shankar
K. K. Choudhary
K. Chandrasekhar
M.V.R. Seshasai
G. Behera
INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA
title_full INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA
title_fullStr INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA
title_full_unstemmed INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA
title_short INVENTORY OF IRRIGATED RICE ECOSYSTEM USING POLARIMETRIC SAR DATA
title_sort inventory of irrigated rice ecosystem using polarimetric sar data
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/46/2011/isprsarchives-XXXVIII-8-W20-46-2011.pdf
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