Package: polsartools
PolSARtools PyPI package (beta version!)Installationpip install polsartoolsPrerequesitesgdal, Numpygdal installation error fixconda install -c conda-forge gdalExampleimportpolsartoolsaspstT3_folder=r'../T3'windows_size=3ps,pd,pv,pc,tfp,taufp=pst.mf4cf(T3_folder,window_size=window_size,write_flag=1)sample use case is provided intestsAvailable functionalities:Full-pol :Model free 4-Component decomposition for full-pol data (MF4CF)[11]Model free 3-Component decomposition for full-pol data (MF3CF)[4]Radar Vegetation Index (RVI)[8]Generalized volume Radar Vegetation Index (GRVI)[2]Polarimetric Radar Vegetation Index (PRVI)[1]Degree of Polarization (DOP)[10]Compact-pol :Model free 3-Component decomposition for compact-pol data (MF3CC)[4]Improved S-Omega decomposition for compact-pol data (iS-Omega)[7]Compact-pol Radar Vegetation Index (CpRVI)[6]Degree of Polarization (DOP)[10]Dual-pol:Dual-pol Radar Vegetation Index (DpRVI)[5]Dual-pol Radar Vegetation Index for GRD data (DpRVIc)[12]Radar Vegetation Index (RVI)[9]Degree of Polarization (DOP)[10]Polarimetric Radar Vegetation Index (PRVI)[1]Dual-pol descriptors[13]ContributionsContribute to the softwareContribution guidelines for this projectReport issues or problems with the softwarePlease raise your issues here :https://github.com/Narayana-Rao/polsartools/issuesSeek supportPlease write to us:bnarayanarao@iitb.ac.inReferences[1]Chang, J.G., Shoshany, M. and Oh, Y., 2018. Polarimetric Radar Vegetation Index for Biomass Estimation in Desert Fringe Ecosystems. IEEE Transactions on Geoscience and Remote Sensing, 56(12), pp.7102-7108.[2]Ratha, D., Mandal, D., Kumar, V., McNairn, H., Bhattacharya, A. and Frery, A.C., 2019. A generalized volume scattering model-based vegetation index from polarimetric SAR data. IEEE Geoscience and Remote Sensing Letters, 16(11), pp.1791-1795.[3]Mandal, D., Kumar, V., Ratha, D., J. M. Lopez-Sanchez, A. Bhattacharya, H. McNairn, Y. S. Rao, and K. V. Ramana, 2020. Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data, Remote Sensing of Environment, 237: 111561.[4]Dey, S., Bhattacharya, A., Ratha, D., Mandal, D. and Frery, A.C., 2020. Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing.[5]Mandal, D., Kumar, V., Ratha, D., Dey, S., Bhattacharya, A., Lopez-Sanchez, J.M., McNairn, H. and Rao, Y.S., 2020. Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data. Remote Sensing of Environment, 247, p.111954.[6]Mandal, D., Ratha, D., Bhattacharya, A., Kumar, V., McNairn, H., Rao, Y.S. and Frery, A.C., 2020. A Radar Vegetation Index for Crop Monitoring Using Compact Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing, 58 (9), pp. 6321-6335.[7]V. Kumar, D. Mandal, A. Bhattacharya, and Y. S. Rao, 2020. Crop Characterization Using an Improved Scattering Power Decomposition Technique for Compact Polarimetric SAR Data. International Journal of Applied Earth Observations and Geoinformation, 88: 102052.[8]Kim, Y. and van Zyl, J.J., 2009. A time-series approach to estimate soil moisture using polarimetric radar data. IEEE Transactions on Geoscience and Remote Sensing, 47(8), pp.2519-2527.[9]Trudel, M., Charbonneau, F. and Leconte, R., 2012. Using RADARSAT-2 polarimetric and ENVISAT-ASAR dual-polarization data for estimating soil moisture over agricultural fields. Canadian Journal of Remote Sensing, 38(4), pp.514-527.[10]Barakat, R., 1977. Degree of polarization and the principal idempotents of the coherency matrix. Optics Communications, 23(2), pp.147-150.[11]S. Dey, A. Bhattacharya, A. C. Frery, C. Lopez-Martinez and Y. S. Rao, "A Model-free Four Component Scattering Power Decomposition for Polarimetric SAR Data," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. doi:10.1109/JSTARS.2021.3069299.[12]Bhogapurapu, N., Dey, S., Mandal, D., Bhattacharya, A., Karthikeyan, L., McNairn, H. and Rao, Y.S., 2022. Soil moisture retrieval over croplands using dual-pol L-band GRD SAR data. Remote Sensing of Environment, 271, p.112900.[13]Bhogapurapu, N., Dey, S., Bhattacharya, A., Mandal, D., Lopez-Sanchez, J.M., McNairn, H., López-Martínez, C. and Rao, Y.S., 2021. Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment. ISPRS Journal of Photogrammetry and Remote Sensing, 178, pp.20-35.