THE USE OF MULTI-TEMPORAL SENTINEL SATELLITES IN THE ANALYSIS OF LAND COVER/LAND USE CHANGES CAUSED BY THE NUCLEAR POWER PLANT CONSTRUCTION

8 citations as recorded by crossref.

1. Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review L. Yang et al. https://doi.org/10.3390/rs14143253
2. A Review of Google Earth Engine for Land Use and Land Cover Change Analysis: Trends, Applications, and Challenges B. Alshehri et al. https://doi.org/10.3390/ijgi14110416
3. Geospatial passives for dynamic vegetation monitoring around thermal power plants F. Faizi et al. https://doi.org/10.1007/s11356-022-21581-4
4. Google Earth Engine: empowering developing countries with large-scale geospatial data analysis—a comprehensive review S. Vijayakumar et al. https://doi.org/10.1007/s12517-024-11948-x
5. Research on Environmental Risk Monitoring and Advance Warning Technologies of Power Transmission and Distribution Projects Construction Phase X. Sun et al. https://doi.org/10.3390/s24237695
6. A geospatial assessment of bio-thermal influence around Çatalagzı power plant region F. Faizi et al. https://doi.org/10.1080/10106049.2022.2087749
7. The importance of ground-truth and crowdsourcing data for the statistical and spatial analyses of the NASA FIRMS active fires in the Mediterranean Turkish forests E. Çolak & F. Sunar https://doi.org/10.1016/j.rsase.2020.100327
8. Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review M. Amani et al. https://doi.org/10.1109/JSTARS.2020.3021052