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Satyawan N. Arsul,
Pradnya R. Maheshmalkar,
- Assistant Professor, Department of Physics, Mrs. K. S. College, Beed, India
- Assistant Professor, Department of Physics, Mrs. K. S. College, Beed, India
Abstract
Mapping heterogeneous urban environments using conventional Synthetic Aperture Radar (SAR) backscatter intensity frequently produces classification errors due to spectral similarity between sparse built-up features, bare soil, and dry vegetation a challenge especially acute in semi-arid Deccan Plateau settings. This research presents a dual-path Pol- InSAR fusion framework that integrates polarimetric scattering decomposition and interferometric coherence stability to extract heterogeneous urban signatures over Beed Taluka, Maharashtra (area: 1,561.31 km²). A temporal stack of 69 Sentinel-1 C-band dual- polarization (VV+VH) Interferometric Wide (IW) acquisitions spanning the full annual cycle of 2024 was processed entirely within Google Earth Engine. Coherent scattering pixels were identified using the Amplitude Dispersion Index (ADI
Keywords: Synthetic Aperture Radar; Polarimetric Decomposition; Freeman-Durden Model; Persistent Scatterers; Amplitude Dispersion Index; Interferometric Coherence; Urban Remote Sensing; Sentinel-1.
Satyawan N. Arsul, Pradnya R. Maheshmalkar. Integrated Polarimetric-Interferometric Fusion for Heterogeneous Urban Signature Extraction. Journal of Remote Sensing & GIS. 2026; 17(02):-.
Satyawan N. Arsul, Pradnya R. Maheshmalkar. Integrated Polarimetric-Interferometric Fusion for Heterogeneous Urban Signature Extraction. Journal of Remote Sensing & GIS. 2026; 17(02):-. Available from: https://journals.stmjournals.com/jorsg/article=2026/view=246851
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Journal of Remote Sensing & GIS
| Volume | 17 |
| 02 | |
| Received | 30/05/2026 |
| Accepted | 04/06/2026 |
| Published | 17/06/2026 |
| Publication Time | 18 Days |
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