ICAR Research Data Repository for Knowledge Management
Discrimination of maize crop with hybrid polarimetric RISAT1 data
MELSpace
View Archive Info| Field | Value | |
| Title |
Discrimination of maize crop with hybrid polarimetric RISAT1 data
|
|
| Creator |
Uppala, Deepika
|
|
| Contributor |
Ramana, Kothapalli Venkataa
Poloju, Srikanth Rama, SeshaSai Mullapudi Venkata Dadhwal, Vinay Kumar |
|
| Subject |
microwave remote sensing
crop characteristics maize crop polarimetric radar imaging satellite 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. |
|
| Date |
2016-05-25
2017-02-10T16:24:31Z 2017-02-10T16:24:31Z |
|
| Type |
Journal Article
|
|
| Identifier |
http://oar.icrisat.org/id/eprint/9531
https://mel.cgiar.org/reporting/download/hash/yqQeAKVn Deepika Uppala, Kothapalli Venkataa Ramana, Srikanth Poloju, SeshaSai Mullapudi Venkata Rama, Vinay Kumar Dadhwal. (25/5/2016). Discrimination of maize crop with hybrid polarimetric RISAT1 data. International Journal of Remote Sensing, 37(11), pp. 2641-2652. https://hdl.handle.net/20.500.11766/5680 Limited access |
|
| Language |
en
|
|
| Rights |
CC-BY-NC-4.0
|
|
| Format |
PDF
|
|
| Publisher |
Taylor & Francis
|
|
| Source |
International Journal of Remote Sensing;37,(2016) Pagination 2641,2652
|
|