FREE GLOBAL DSM ASSESSMENT ON LARGE SCALE AREAS EXPLOITING THE POTENTIALITIES OF THE INNOVATIVE GOOGLE EARTH ENGINE PLATFORM

7 citations as recorded by crossref.

1. Terrain Induced Biases in Clear-Sky Shortwave Radiation Due to Digital Elevation Model Resolution for Glaciers in Complex Terrain M. Olson et al. 10.3389/feart.2019.00216
2. Accuracy Assessment of Digital Terrain Model Dataset Sources for Hydrogeomorphological Modelling in Small Mediterranean Catchments L. Graf et al. 10.3390/rs10122014
3. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al. 10.3390/s20051425
4. Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms L. Zhu et al. 10.1080/15481603.2021.1943214
5. Spatial-temporal analysis of day-night time SUHI and its relationship between urban land use, NDVI, and air pollutants in Tehran metropolis F. Aghazadeh et al. 10.1007/s12518-023-00515-w
6. Spatial and temporal classification and prediction of LULC in Brahmani and Baitarni basin using integrated cellular automata models G. Indraja et al. 10.1007/s10661-023-12289-0
7. Monitoring the Impact of Land Cover Change on Surface Urban Heat Island through Google Earth Engine: Proposal of a Global Methodology, First Applications and Problems R. Ravanelli et al. 10.3390/rs10091488