SENTINEL-2 IMAGERY FOR MAPPING AND MONITORING IMPERVIOUSNESS IN URBAN AREAS

29 citations as recorded by crossref.

1. What would be better for urban mapping in the Klang Valley? SPOT or Sentinel-1 M. Wahab et al. 10.1088/1755-1315/1064/1/012021
2. Review of Experience in Recent Studies on the Dynamics of Land Urbanisation A. Biłozor & I. Cieślak 10.3390/land10111117
3. A comparative analysis of machine learning-based methods for impervious surface mapping using SAR and optical data S. He et al. 10.1080/10106049.2025.2521833
4. Characterization of water hyacinth ( Eichhornia crassipes (Mart.) Solms) biomass in Lake Tana, Ethiopia Y. Damtie et al. 10.1080/26895293.2022.2134933
5. Transferability of Recursive Feature Elimination (RFE)-Derived Feature Sets for Support Vector Machine Land Cover Classification C. Ramezan 10.3390/rs14246218
6. Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment K. Onačillová et al. 10.3390/rs14164076
7. Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier B. Shrestha et al. 10.3390/rs13153040
8. Urban Big Data Analytics: A Novel Approach for Tracking Urbanization Trends in Sri Lanka N. Akalanka et al. 10.3390/land13060888
9. An Analysis of Urbanisation Dynamics with the Use of the Fuzzy Set Theory—A Case Study of the City of Olsztyn A. Biłozor et al. 10.3390/rs12111784
10. A data-efficient deep transfer learning framework for methane super-emitter detection in oil and gas fields using the Sentinel-2 satellite S. Zhao et al. 10.5194/acp-25-4035-2025
11. The Use of Geographic Databases for Analyzing Changes in Land Cover—A Case Study of the Region of Warmia and Mazury in Poland I. Cieślak et al. 10.3390/ijgi9060358
12. Country-wide assessment of biodiversity, naturalness and old-growth status using national forest inventory data C. Borghi et al. 10.1007/s10342-023-01620-6
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15. A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery C. Ayala et al. 10.3390/rs13163135
16. Neural Network Fusion Processing and Inverse Mapping to Combine Multisensor Satellite Data and Analyze the Prominent Features G. Joshi et al. 10.1109/JSTARS.2023.3247788
17. Mapping the heat stress vulnerability landscape of Agartala City, India R. Neog 10.1007/s10708-024-11072-z
18. Identification and Location of a Transitional Zone between an Urban and a Rural Area Using Fuzzy Set Theory, CLC, and HRL Data A. Biłozor et al. 10.3390/su11247014
19. Satellite DEM Improvement Using Multispectral Imagery and an Artificial Neural Network D. Kim et al. 10.3390/w13111551
20. Digital Mapping of Land Cover Changes Using the Fusion of SAR and MSI Satellite Data G. Metrikaityte et al. 10.3390/land11071023
21. Calibration of Sentinel-2 Surface Reflectance for Water Quality Modelling in Binh Dinh’s Coastal Zone of Vietnam N. Quang et al. 10.3390/su15021410
22. BİTKİ ÖRTÜSÜ İNDEKSLERİ KULLANILARAK BİTKİ ÖRTÜSÜ YOĞUNLUKLARININ ARAŞTIRILMASI: KARATEPE-ASLANTAŞ MİLLİ PARKI ÖRNEĞİ S. Oturanç 10.17780/ksujes.1521564
23. Uydu Görüntüleri Kullanarak Makine Öğrenme Yöntemleri ile Arazi Kullanımı ve Arazi Örtüsünün Belirlenmesi S. Oturanç 10.35234/fumbd.1469767
24. City Boundaries—Utilizing Fuzzy Set Theory for the Identification and Localization of the Urban–Rural Transition Zone A. Biłozor et al. 10.3390/su16219490
25. Understanding and Assessing Climate Change Risk to Green Infrastructure: Experiences from Greater Manchester (UK) J. Carter et al. 10.3390/land13050697
26. Kentsel Alanlarda Arazi Kullanım ve Arazi Örtüsü Belirleme Çalışmalarında Spektral İndekslerin Kullanılması: Ceyhan İlçe Merkezi Örneği S. Çiçekli 10.55213/kmujens.1446772
27. Ensemble Learning for Urban Flood Segmentation Through the Fusion of Multi-Spectral Satellite Data with Water Spectral Indices Using Row-Wise Cross Attention H. Xu & A. Woodley 10.3390/rs17010090
28. Kudzu invasion and its influential factors in the southeastern United States M. Shen et al. 10.1016/j.jag.2024.103872
29. Fusion of Sentinel-1 and Sentinel-2 data in mapping the impervious surfaces at city scale B. Shrestha et al. 10.1007/s10661-021-09321-6