DIGITAL SOIL MAPPING WITH REGRESSION TREE CLASSIFICATION APPROACHES BY RS AND GEOMORPHOMETRY COVARIATE IN THE QAZVIN PLAIN, IRAN

8 citations as recorded by crossref.

1. Digital mapping to extrapolate the selected soil fertility attributes in calcareous soils of a semiarid region in Iran P. Khosravani et al. 10.1007/s11368-023-03548-1
2. Assessing data mining algorithms to predict the quality of groundwater resources for determining irrigation hazard R. Masoudi et al. 10.1007/s10661-022-10909-9
3. Large short-range variation in soil properties in a natural grassland indicates non-tree related catena disruption A. Temme et al. 10.1016/j.catena.2021.105806
4. New Geomorphometric Variables for Non-Continuous Hillslopes – Assessing the Value for Digital Soil Mapping A. Temme et al. 10.2139/ssrn.4003386
5. Digital mapping of selected soil properties using machine learning and geostatistical techniques in Mashhad plain, northeastern Iran A. Mousavi et al. 10.1007/s12665-023-10919-x
6. Digital soil mapping for soil types using machine learning approaches at the landscape scale in the arid regions of Iran S. Manteghi et al. 10.1016/j.asr.2024.04.042
7. Spatial modelling soil texture variability in northeastern Iran: Integrating remote sensing and machine learning A. Mousavi et al. 10.1002/esp.70110
8. Digital mapping of soil biological properties and wheat yield using remotely sensed, soil chemical data and machine learning approaches V. Jahandideh Mahjenabadi et al. 10.1016/j.compag.2022.106978