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

34 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.
2. Review of Experience in Recent Studies on the Dynamics of Land Urbanisation A. Biłozor & I. Cieślak
3. A comparative analysis of machine learning-based methods for impervious surface mapping using SAR and optical data S. He et al.
4. Characterization of water hyacinth ( Eichhornia crassipes (Mart.) Solms) biomass in Lake Tana, Ethiopia Y. Damtie et al.
5. Transferability of Recursive Feature Elimination (RFE)-Derived Feature Sets for Support Vector Machine Land Cover Classification C. Ramezan
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.
7. Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier B. Shrestha et al.
8. Radiometric Cross-Calibration and Validation of KOMPSAT-3/AEISS Using Sentinel-2A/MSI J. Choi et al.
9. Urban Big Data Analytics: A Novel Approach for Tracking Urbanization Trends in Sri Lanka N. Akalanka et al.
10. 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.
11. 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.
12. 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.
13. Country-wide assessment of biodiversity, naturalness and old-growth status using national forest inventory data C. Borghi et al.
14. Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications A. Nigar et al.
15. Impact of urban habitat structure and weather variables on reproduction of gigant African snail <em>(Lissachatina fulica)</em> M. Garces-Restrepo et al.
16. A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery C. Ayala et al.
17. Evaluating Small-Scale Urban Regeneration Using Nighttime Lights and Sentinel-2: Evidence from Republic of Korea D. Jin & S. Choi
18. Neural Network Fusion Processing and Inverse Mapping to Combine Multisensor Satellite Data and Analyze the Prominent Features G. Joshi et al.
19. Mapping the heat stress vulnerability landscape of Agartala City, India R. Neog
20. 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.
21. Satellite DEM Improvement Using Multispectral Imagery and an Artificial Neural Network D. Kim et al.
22. Digital Mapping of Land Cover Changes Using the Fusion of SAR and MSI Satellite Data G. Metrikaityte et al.
23. Calibration of Sentinel-2 Surface Reflectance for Water Quality Modelling in Binh Dinh’s Coastal Zone of Vietnam N. Quang et al.
24. BİTKİ ÖRTÜSÜ İNDEKSLERİ KULLANILARAK BİTKİ ÖRTÜSÜ YOĞUNLUKLARININ ARAŞTIRILMASI: KARATEPE-ASLANTAŞ MİLLİ PARKI ÖRNEĞİ S. Oturanç
25. Investigating sensitivity to extreme weather of a mid-size global south city: an integrated MCDA (AHP)-GIS based modeling approach N. Ankhi & A. Khan
26. Building damage detection from multi-feature fusion of Sentinel-1/2 imagery using variational autoencoder and MLP-Mixer network: insights from the Jishishan earthquake J. Wang et al.
27. Synergising spatio-temporal big data and local knowledge for climate-adaptive green infrastructure planning in urban africa: pathways and pitfalls D. Gagakuma
28. Uydu Görüntüleri Kullanarak Makine Öğrenme Yöntemleri ile Arazi Kullanımı ve Arazi Örtüsünün Belirlenmesi S. Oturanç
29. City Boundaries—Utilizing Fuzzy Set Theory for the Identification and Localization of the Urban–Rural Transition Zone A. Biłozor et al.
30. Understanding and Assessing Climate Change Risk to Green Infrastructure: Experiences from Greater Manchester (UK) J. Carter et al.
31. Kentsel Alanlarda Arazi Kullanım ve Arazi Örtüsü Belirleme Çalışmalarında Spektral İndekslerin Kullanılması: Ceyhan İlçe Merkezi Örneği S. Çiçekli
32. 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
33. Kudzu invasion and its influential factors in the southeastern United States M. Shen et al.
34. Fusion of Sentinel-1 and Sentinel-2 data in mapping the impervious surfaces at city scale B. Shrestha et al.