Can anyone tell me the detailed procedure to estimate the paddy crop acreage using SAR data. I also want know that which SAR data will be better for this which is freely available.
Crop estimation or monitoring is done best with high-resolution polarimetric SAR data. It allows you to decompose the backscattered signal into different scattering mechanisms (see reference 1). PolSARpro is a great open software for that, but currently, there are no free full-polarimetric scenes available. Sensors which support it are TerraSAR-X, Radarsat-2 and ALOS PALSAR-2. For the first two, you can apply for academic access to a limited number of scenes (see references 2 and 3).
Generally speaking, there is no universal workflow which can be applied. But having field samples of crop types and volume estimates would surely be a good point to start with. Then, findinig some way to link the backscatter to the expected information is the next step.
There is a great tutorial by SAR EDU on crop type classification (see reference 4). You can access it after free registration.
If you rely on freely available data, Sentinel-1 would be the best alternative due to its high repeat frequency in many regions and at least dual-polarization (VV/VH). Unfortunately, c-band is not optimal for vegetation and crop types, but if your fields are large (spatial resolution is 10m) you can make time-series analyses on the backscatter of different plots and correlate it to your field samples in order to estimate the crop types.
Besides that, I can recommend going through some review papers on the topic which often show the pros and cons and present 0possible applications of all kinds of sensors (see references 5-6).
http://seom.esa.int/polarimetrycourse2015/files/PolSARAp_Agriculture_Wetlands_JMLopez-Sanchez.pdf
https://earth.esa.int/web/guest/pi-community/apply-for-data/3rd-party?IFRAME_SRC=%2Fpi%2Fesa%3FdisplayMode%3Dcenter%26sideExpandedNavigationBoxId%3DCat1Access%26cmd%3Daodetail%26topSelectedNavigationNodeId%3DDATA_ACCESS%26targetIFramePage%3D%252Fweb%252Fguest%252Fpi-community%252Fapply-for-data%252F3rd-party%26ts%3D1500884625367%26colorTheme%3D03%26sideNavigationType%3DDATA_ACCESS%26aoid%3D1240
http://sss.terrasar-x.dlr.de/pdfs/how_to_submit_a_tsx_proposal.pdf
https://saredu.dlr.de/unit/agriculture_tutorial
http://ieeexplore.ieee.org/document/6311680/?denied
http://www.ijarcs.info/index.php/Ijarcs/article/viewFile/2824/2812
Crop estimation or monitoring is done best with high-resolution polarimetric SAR data. It allows you to decompose the backscattered signal into different scattering mechanisms (see reference 1). PolSARpro is a great open software for that, but currently, there are no free full-polarimetric scenes available. Sensors which support it are TerraSAR-X, Radarsat-2 and ALOS PALSAR-2. For the first two, you can apply for academic access to a limited number of scenes (see references 2 and 3).
Generally speaking, there is no universal workflow which can be applied. But having field samples of crop types and volume estimates would surely be a good point to start with. Then, findinig some way to link the backscatter to the expected information is the next step.
There is a great tutorial by SAR EDU on crop type classification (see reference 4). You can access it after free registration.
If you rely on freely available data, Sentinel-1 would be the best alternative due to its high repeat frequency in many regions and at least dual-polarization (VV/VH). Unfortunately, c-band is not optimal for vegetation and crop types, but if your fields are large (spatial resolution is 10m) you can make time-series analyses on the backscatter of different plots and correlate it to your field samples in order to estimate the crop types.
Besides that, I can recommend going through some review papers on the topic which often show the pros and cons and present 0possible applications of all kinds of sensors (see references 5-6).
http://seom.esa.int/polarimetrycourse2015/files/PolSARAp_Agriculture_Wetlands_JMLopez-Sanchez.pdf
https://earth.esa.int/web/guest/pi-community/apply-for-data/3rd-party?IFRAME_SRC=%2Fpi%2Fesa%3FdisplayMode%3Dcenter%26sideExpandedNavigationBoxId%3DCat1Access%26cmd%3Daodetail%26topSelectedNavigationNodeId%3DDATA_ACCESS%26targetIFramePage%3D%252Fweb%252Fguest%252Fpi-community%252Fapply-for-data%252F3rd-party%26ts%3D1500884625367%26colorTheme%3D03%26sideNavigationType%3DDATA_ACCESS%26aoid%3D1240
http://sss.terrasar-x.dlr.de/pdfs/how_to_submit_a_tsx_proposal.pdf
https://saredu.dlr.de/unit/agriculture_tutorial
http://ieeexplore.ieee.org/document/6311680/?denied
http://www.ijarcs.info/index.php/Ijarcs/article/viewFile/2824/2812
I think Sentinel-1 C Band SAR data can be freely used for paddy yield estimation. https://sentinel.esa.int/web/sentinel/missions/sentinel-1
The RISAT -1 Microwave satellite data is also useful for your purpose. It has circular polarization capability. There are many studies used RISAT data for paddy crop estimation
Some links
1. http://www.currentscience.ac.in/Volumes/104/04/0490.pdf
2. Article Mapping Direct Seeded Rice in Raichur District of Karnataka, India
Best
Vijay
Dear you can do that from SAR imagery by use polarization VV or VH
Regards
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