Multi-Sensor Flood Mapping in Urban and Agricultural Landscapes of the Netherlands Using SAR and Optical Data with Random Forest Classifier
Ömer Gökberk Narin(Afyon Kocatepe University), Saygın Abdikan(Hacettepe University), Füsun Balık Şanlı(Yıldız Technical University), Mahmut Arıkan(Cross-Linked Enzyme Aggregates Technologies (Netherlands)), Çağlar Bayık(Zonguldak Bülent Ecevit University), Filiz Bektaş Balçık(Istanbul Technical University), Aliihsan Şekertekin(Iğdır Üniversitesi)
Cited by 3
Related Papers
Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation
|Remote Sensing|2020|447
Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage
|Applied Sciences|2019|245
Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey
|Ecological Informatics|2022|162
Simulation of future land surface temperature distribution and evaluating surface urban heat island based on impervious surface area
|Ecological Indicators|2020|117
Google Earth Engine based spatio-temporal analysis of air pollutants before and during the first wave COVID-19 outbreak over Turkey via remote sensing
|Journal of Cleaner Production|2021|110