Manuscript Number : IJSRSET151474
Temporal Monitoring of SAR Polarimetric Parameters and Scattering Mechanism for Major Kharif Crops and Surrounding Land Use
Authors(3) :-Bindi P. Shastri, Dipanwita Haldar, Shiv Mohan
Spatial and temporal monitoring of agricultural crop is one of the important aspects for the agricultural production estimation for India. Among the various remote sensing tools, role of polarimetric SAR is being evaluated for the assessment of its utility in providing improved information. In view of importance of polarimetric techniques, it is necessary to understand the role of polarimetric indices and decomposition techniques for improved identification and discrimination of different land cover classes. An attempt has been made to study temporal changes in polarimetric parameters and decomposition algorithm for monitoring landuse classes dominated by agricultural land using full polarimetric C-band radarsat-2 data set. Various polarimetric parameters like Radar Vegetation Index, polarimetric decomposition techniques like Freeman Durden, and Pauli Decomposition have been used to evaluate the capability of multi polarimetric and multi temporal SAR for landuse identification, discrimination and classification. Along with the above work, sub classification of RVI values and scattering behavior of the major Kharif crops and other land targets has been done. Temporal change in mean RVI value from 0.48 to 0.66 allowed to demarcate the aerial extent of agriculture/ vegetation cover. Based on the crop growth cycle during Kharif season, a very clear change in RVI value range from 0.4-0.6to 0.8-1.5 was noticed during crop growth. Cotton, Paddy and Gwar could be well discriminated based on change in RVI values with respect to their growth cycle. Freeman Durden Decomposition was found to have overall higher classification accuracy of 95%, followed by Pauli Decomposition (90%) and RVI parameter (49%). Temporally, in all cases, highest classification accuracy was obtained for three date data of July, August and September months.
Bindi P. Shastri
Backscattering, Radar Vegetation Index, Polarimetric parameters, Decomposition Techniques, Classification.
Publication Details
Published in :
Volume 1 | Issue 4 | July-August 2015 Article Preview
Faculty of Technology, CEPT University, Ahmedabad, Gujarat, India
Dipanwita Haldar
Advanced Techniques Development Group (ATDG), Space Applications Centre, ISRO, Ahmedabad, Gujarat, India
Shiv Mohan
PLANEX/ Physical Research Laboratory, Ahmedabad, Gujarat, India
Date of Publication :
2015-08-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
416-424
Manuscript Number :
IJSRSET151474
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET151474