Classification of various land features using RISAT-1 dual polarimetric data

13 citations as recorded by crossref.

1. Crop Types Discrimination and Yield Prediction Using Sentinel-2 Data and AquaCrop Model in Hazaribagh District, Jharkhand B. Parida et al. https://doi.org/10.1007/s42489-021-00073-4
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4. Dual-polarimetric C-band SAR data for land use/land cover classification by incorporating textural information V. Mishra et al. https://doi.org/10.1007/s12665-016-6341-7
5. Performance evaluation of textural features in improving land use/land cover classification accuracy of heterogeneous landscape using multi-sensor remote sensing data V. Mishra et al. https://doi.org/10.1007/s12145-018-0369-z
6. Enhancing land cover classification for multispectral images using hybrid polarimetry SAR data M. Iyyappan & S. Ramakrishnan https://doi.org/10.1080/01431161.2020.1750730
7. Assessment of Spatio-Temporal Changes in Land Use/Land Cover Over a Decade (2000–2014) Using Earth Observation Datasets: A Case Study of Varanasi District, India V. Mishra et al. https://doi.org/10.1007/s40996-018-0172-6
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9. Optimal datasets suitability for pearl millet (Bajra) discrimination using multiparametric SAR data S. Shanmugapriya et al. https://doi.org/10.1080/10106049.2019.1585485
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12. Polarimetric decomposition methods for LULC mapping using ALOS L-band PolSAR data in Western parts of Mizoram, Northeast India B. Parida & S. Mandal https://doi.org/10.1007/s42452-020-2866-1
13. Rice biophysical parameter retrieval with optical satellite imagery: a comparative assessment of parametric and non-parametric models L. Mansaray et al. https://doi.org/10.1080/10106049.2022.2082546