EXTRACTION OF BUILT-UP AREA USING HIGH RESOLUTION SENTINEL-2A AND GOOGLE SATELLITE IMAGERY

11 citations as recorded by crossref.

1. Assessment of urban growth changes in Klang District using Support Vector Machine by different kernel N. Saraf et al. 10.1088/1755-1315/1051/1/012023
2. Extracting Urban Built-up Areas from Optical and Radar Data Fusion using Machine Learning Algorithms W. Woreket & G. Zeleke 10.1080/19479832.2024.2338736
3. Pola Spasial Perubahan Tutupan Lahan/Penggunaan Lahan Menggunakan Google Earth Engine di Kabupaten Majalengka A. Adrian et al. 10.14710/pwk.v19i4.46254
4. F2BFE: development of feature-based building footprint extraction by remote sensing data and GEE H. Farhadi et al. 10.1080/01431161.2023.2255351
5. Measuring Vertical Urban Growth of Patna Urban Agglomeration Using Persistent Scatterer Interferometry SAR (PSInSAR) Remote Sensing A. Prakash et al. 10.3390/rs15143687
6. Extracting built-up areas from spectro-textural information using machine learning A. Maqsoom et al. 10.1007/s00500-022-06794-6
7. A comparison of Sentinel-1 and Sentinel-2 in assessing flooded area and built-up land use: A case study of selected coastal districts in Andra Pradesh, India H. Gonuguntla et al. 10.35595/2414-9179-2020-2-26-421-435
8. Flooding in semi-unformal urban areas in North Africa: Environmental and psychosocial drivers A. Salhi et al. 10.1016/j.scitotenv.2024.172486
9. The Surface Urban Heat Island and Key Mitigation Factors in Arid Climate Cities, Case of Marrakesh, Morocco A. Gourfi et al. 10.3390/rs14163935
10. Applying Multi-Index approach from Sentinel-2 Imagery to Extract Urban Area in dry season (Semi-Arid Land in North East Algeria) K. Rouibah & M. Belabbas 10.4995/raet.2020.13787
11. High-resolution population maps derived from Sentinel-1 and Sentinel-2 N. Metzger et al. 10.1016/j.rse.2024.114383