LAND COVER MAPPING USING SENTINEL-1 SAR DATA

54 citations as recorded by crossref.

1. Evaluation of Using Sentinel-1 and -2 Time-Series to Identify Winter Land Use in Agricultural Landscapes J. Denize et al. https://doi.org/10.3390/rs11010037
2. The global extent of the grassland biome and implications for the terrestrial carbon sink A. MacDougall et al. https://doi.org/10.1038/s41559-025-02955-6
3. Hierarchical Wetland Mapping in the East China Sea Based on Integrated Multifaceted Source Features J. Wang et al. https://doi.org/10.3390/rs18071023
4. CNN-based generation of high-accuracy urban distribution maps utilising SAR satellite imagery for short-term change monitoring S. Iino et al. https://doi.org/10.1080/19479832.2018.1491897
5. Multi-Temporal and Multi-Frequency SAR Analysis for Forest Land Cover Mapping of the Mai-Ndombe District (Democratic Republic of Congo) J. Haarpaintner & H. Hindberg https://doi.org/10.3390/rs11242999
6. Consistency Analysis of Multi-Source Remote Sensing Land Cover Products in Arid Regions—A Case Study of Xinjiang S. Liu et al. https://doi.org/10.3390/land12122178
7. Automatic Prediction of Soil Moisture Using Efficient Convolutional Neural Network from the Synthetic-Aperture Radar Data S. Vatkar & S. Kulkarni https://doi.org/10.1007/s41976-025-00209-4
8. Monitoring and Mapping of Rice Cropping Pattern in Flooding Area in the Vietnamese Mekong Delta Using Sentinel-1A Data: A Case of An Giang Province H. Minh et al. https://doi.org/10.3390/ijgi8050211
9. Mapping Urban and Peri-Urban Land Cover in Zimbabwe: Challenges and Opportunities C. Kamusoko et al. https://doi.org/10.3390/geomatics1010009
10. Towards accurate mapping of forest in tropical landscapes: A comparison of datasets on how forest transition matters R. Ferrer Velasco et al. https://doi.org/10.1016/j.rse.2022.112997
11. Utilization of Sentinel 1-A for Identification Land Use changes in Citarum Watershed M. Ardha et al. https://doi.org/10.1088/1755-1315/477/1/012013
12. Monitoring seasonal effects in vegetation areas with Sentinel-1 SAR and Sentinel-2 optic satellite images A. Polat et al. https://doi.org/10.1007/s12517-022-09947-x
13. Consistency Analysis of Remote Sensing Land Cover Products in the Tropical Rainforest Climate Region: A Case Study of Indonesia J. Kang et al. https://doi.org/10.3390/rs12091410
14. Local actors, farmer decisions and landscape crop diversity in smallholder farming systems: A systems perspective D. Kpienbaareh et al. https://doi.org/10.1016/j.agee.2024.109138
15. Mapping Natural Populus euphratica Forests in the Mainstream of the Tarim River Using Spaceborne Imagery and Google Earth Engine J. Zou et al. https://doi.org/10.3390/rs16183429
16. Integrating geographical information systems, remote sensing, and machine learning techniques to monitor urban expansion: an application to Luanda, Angola A. Ngolo & T. Watanabe https://doi.org/10.1080/10095020.2022.2066574
17. Comparison of KOMPSAT-5 and Sentinel-1 Radar Data for Soil Moisture Estimations Using a New Semi-Empirical Model L. Tao et al. https://doi.org/10.3390/rs14164042
18. RCCF-YOLO: region-constrained channel weighting and multi-scale fusion network for power tower detection in high-resolution SAR images Y. Liu et al. https://doi.org/10.1080/10106049.2026.2639780
19. Tectono-stratigraphic evolution of the Upper Kaghan Valley, Northwestern Himalayas: insights from integrated field and remote-sensing analysis M. Farooq et al. https://doi.org/10.3389/feart.2026.1726034
20. Remote Sensing of Environmental Drivers Influencing the Movement Ecology of Sympatric Wild and Domestic Ungulates in Semi-Arid Savannas, a Review F. Rumiano et al. https://doi.org/10.3390/rs12193218
21. Semi-automated impervious feature extraction using built-up indices developed from space-borne optical and SAR remotely sensed sensors S. Sinha et al. https://doi.org/10.1016/j.asr.2020.05.040
22. Integration of radar and optical sentinel images for land use mapping in a complex landscape (case study: Arasbaran Protected Area) V. Nasiri et al. https://doi.org/10.1007/s12517-022-11035-z
23. Semantic Segmentation Based on Temporal Features: Learning of Temporal–Spatial Information From Time-Series SAR Images for Paddy Rice Mapping L. Yang et al. https://doi.org/10.1109/TGRS.2021.3099522
24. Contribution of gravity data and Sentinel-1 image for structural mapping. Case of Beni Mellal Atlas and Beni Moussa plain (Morocco). I. Boutirame et al. https://doi.org/10.1051/e3sconf/20183705002
25. Object-Oriented Crop Classification Using Time Series Sentinel Images from Google Earth Engine H. Xue et al. https://doi.org/10.3390/rs15051353
26. Combined Use of Optical and Synthetic Aperture Radar Data for REDD+ Applications in Malawi M. Hirschmugl et al. https://doi.org/10.3390/land7040116
27. A Convolutional Neural Network Algorithm for Soil Moisture Prediction from Sentinel-1 SAR Images E. Hegazi et al. https://doi.org/10.3390/rs13244964
28. Integration of Sentinel-1 and Sentinel-2 Data for Land Cover Mapping Using W-Net M. Gargiulo et al. https://doi.org/10.3390/s20102969
29. Improvement of Sentinel‐1 Remote Sensing Data Classification by DWT and PCA O. Charfi Marrakchi et al. https://doi.org/10.1155/2021/8897303
30. Land cover classification of Sentinel-1 images at subpixel level using deep learning U. Habiba et al. https://doi.org/10.1080/2150704X.2026.2661869
31. Terrain-Dependent Effects of SAR Speckle Filtering on Land Cover Classification Using Sentinel-1 Ľ. Kseňak et al. https://doi.org/10.3390/geomatics6030053
32. Classifying Rocky Land Cover Using Random Forest Modeling: Lessons Learned and Potential Applications in Washington, USA J. Celebrezze et al. https://doi.org/10.3390/rs17050915
33. Extraction of Land Information, Future Landscape Changes and Seismic Hazard Assessment: A Case Study of Tabriz, Iran A. Mohammadi et al. https://doi.org/10.3390/s20247010
34. Evaluating NISAR's cropland mapping algorithm over the conterminous United States using Sentinel-1 data S. Rose et al. https://doi.org/10.1016/j.rse.2021.112472
35. Digital Mapping of Land Cover Changes Using the Fusion of SAR and MSI Satellite Data G. Metrikaityte et al. https://doi.org/10.3390/land11071023
36. Crop mapping based on time-series synthetic aperture radar images using deep semantic segmentation model K. Zhang et al. https://doi.org/10.1117/1.JRS.18.024519
37. Comparing NISAR (Using Sentinel-1), USDA/NASS CDL, and Ground Truth Crop/Non-Crop Areas in an Urban Agricultural Region S. Kraatz et al. https://doi.org/10.3390/s23208595
38. Monitoring Illegal Logging Using Google Earth Engine in Sulawesi Selatan Tropical Forest, Indonesia A. Mujetahid et al. https://doi.org/10.3390/f14030652
39. Advancing Urban Analytics: GeoAI Applications in Spatial Decision-Making and Sustainable Cities S. Avram https://doi.org/10.3390/urbansci10030148
40. NN-Based Prediction of Sentinel-1 SAR Image Filtering Efficiency O. Rubel et al. https://doi.org/10.3390/geosciences9070290
41. Large-scale dynamic flood monitoring in an arid-zone floodplain using SAR data and hybrid machine-learning models M. Panahi et al. https://doi.org/10.1016/j.jhydrol.2022.128001
42. Polarimetric SAR Time-Series for Identification of Winter Land Use J. Denize et al. https://doi.org/10.3390/s19245574
43. Garlic Field Classification Using Machine Learning and Statistic Approaches I. Sitanggang et al. https://doi.org/10.3390/agriengineering5010040
44. PTU-Net: A Polarization-Temporal U-Net for Multi-Temporal Sentinel-1 SAR Crop Classification F. Tan et al. https://doi.org/10.3390/rs18030514
45. Cross evaluation of optical versus sentinel-1 and 2 fusion data for tropical ecosystem mapping S. Sarker et al. https://doi.org/10.1007/s44288-026-00512-7
46. Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data D. Kpienbaareh et al. https://doi.org/10.3390/rs13040700
47. Consistency and Accuracy Evaluation Analysis of Four Cropland Cover Products: A Case Study of Indochina Peninsula X. Wang et al. https://doi.org/10.1155/2022/2876976
48. A Novel Rape (Brassica Napus L.) Parameter Canopy Area Index and Its Inversion Using Full- and Compact-Polarization SAR X. Chen et al. https://doi.org/10.1109/JSTARS.2025.3635687
49. Geospatial–Temporal Quantification of Tectonically Constrained Marble Resources Within the Wadi El Shati Extensional Regime via Multi-Sensor Sentinel and DEM Data Fusion M. Dhabaa et al. https://doi.org/10.3390/geosciences16020081
50. Crop Classification Using Time-Series Sentinel-1 SAR Data: A Comparison of LSTM, GRU, and TCN with Attention Y. Tsuchiya & R. Sonobe https://doi.org/10.3390/rs17122095
51. Geographic and cartographic inconsistency factors among different cropland classification datasets: A field validation case in Cambodia J. Kang et al. https://doi.org/10.1515/geo-2022-0409
52. Evaluation of Sentinel-1 Interferometric SAR Coherence efficiency for Land Cover Mapping M. Soleimani et al. https://doi.org/10.52547/jgit.9.3.85
53. Improved remote-sensing land cover identification using parameterized feedforward neural networks O. Charfi Marrakchi https://doi.org/10.1007/s41207-020-00226-3
54. Suitable Habitat Dynamics of Wintering Geese in a Large Floodplain Wetland: Insights from Flood Duration J. Teng et al. https://doi.org/10.3390/rs14040952