-
1Academic Journal
المؤلفون: Nzuza, P, Ramoelo, Abel, Odindi, J, Mwenge Kahinda, Jean-Marc, Madonsela, Sabelo
مصطلحات موضوعية: Land degradation risks, Lepellane catchment, Machine learning algorithms, Random forest, Sentinel-2 MSI
وصف الملف: application/pdf
Relation: Workflow;23894; Nzuza, P., Ramoelo, A., Odindi, J., et al. 2020. Predicting land degradation using Sentinel-2 and environmental variables in the Lepellane catchment of the Greater Sekhukhune District, South Africa. Physics and Chemistry of the Earth, Parts A/B/C, pp. 1-12; https://doi.org/10.1016/j.pce.2020.102931; https://www.sciencedirect.com/science/article/pii/S1474706520303776; http://hdl.handle.net/10204/11665; Nzuza, P., Ramoelo, A., Odindi, J., Mwenge Kahinda, J., & Madonsela, S. (2020). Predicting land degradation using Sentinel-2 and environmental variables in the Lepellane catchment of the Greater Sekhukhune District, South Africa. http://hdl.handle.net/10204/11665; Nzuza, P, A Ramoelo, J Odindi, Jean-marc Mwenge Kahinda, and Sabelo Madonsela "Predicting land degradation using Sentinel-2 and environmental variables in the Lepellane catchment of the Greater Sekhukhune District, South Africa." (2020) http://hdl.handle.net/10204/11665; Nzuza P, Ramoelo A, Odindi J, Mwenge Kahinda J, Madonsela S. Predicting land degradation using Sentinel-2 and environmental variables in the Lepellane catchment of the Greater Sekhukhune District, South Africa. 2020; http://hdl.handle.net/10204/11665.
-
2
المؤلفون: Biagi B.
المصدر: Seminar on Land Degradation due to Hydrological Phenomena in Hilly Areas, pp. 125–141, Cesena, Italy, 9-11/10/1985
info:cnr-pdr/source/autori:Biagi B./congresso_nome:Seminar on Land Degradation due to Hydrological Phenomena in Hilly Areas/congresso_luogo:Cesena, Italy/congresso_data:9-11%2F10%2F1985/anno:1986/pagina_da:125/pagina_a:141/intervallo_pagine:125–141مصطلحات موضوعية: land degradation risks, land characteristics