[HTML][HTML] Soil water erosion susceptibility assessment using deep learning algorithms
Accurate assessment of soil water erosion (SWE) susceptibility is critical for reducing land
degradation and soil loss, and for mitigating the negative impacts of erosion on ecosystem …
degradation and soil loss, and for mitigating the negative impacts of erosion on ecosystem …
A comparative study of black-box and white-box data-driven methods to predict landfill leachate permeability
Due to the dynamic and complexity of leachate percolation within municipal solid waste
(MSW), planning and operation of solid waste management systems are challenging for …
(MSW), planning and operation of solid waste management systems are challenging for …
Land subsidence susceptibility mapping using Interferometric Synthetic Aperture Radar (InSAR) and machine learning models in a semiarid region of Iran
H Gharechaee, AN Samani, SK Sigaroodi… - Land, 2023 - mdpi.com
Most published studies identify groundwater extraction as the leading cause of land
subsidence (LS). However, the causes of LS are not only attributable to groundwater …
subsidence (LS). However, the causes of LS are not only attributable to groundwater …
[HTML][HTML] Modelling land condition to augment Land Degradation Neutrality assessments-The succulent Karoo biome of South Africa as a case study
Land degradation is a threat to ecosystems and to already vulnerable people who live in
dryland environments. The United Nations Convention to Combat Desertification (UNCCD) …
dryland environments. The United Nations Convention to Combat Desertification (UNCCD) …
[HTML][HTML] Modeling gully initiation by two codeless nonlinear methods: A case study in a small watershed on the Tibetan Plateau
J Li, Y Chen, J Jiao, X Cao, Y Chen, T Chen… - International Soil and …, 2024 - Elsevier
Land and soil resources are scarce in the Tibetan Plateau, and the region is facing
ecological pressure from climate warming and increasing human activities. As a major …
ecological pressure from climate warming and increasing human activities. As a major …
Can CATPCA be utilized for spatial modeling? a case of the generation susceptibility of gully head in a watershed
J Li, H Wang, Y Chen, Y Chen, J Jiao, T Chen, X Cao… - Catena, 2023 - Elsevier
Many spatial modeling methods have emerged; however, they require dependent variables,
cannot reflect the relationship between categorical variables and numerical variables, and …
cannot reflect the relationship between categorical variables and numerical variables, and …
Insights from land sparing and land sharing frameworks for land productivity degradation governance in the Yangtze River Delta urban agglomeration, China
J Qian, H Zhao, X Wang, T Wang, B Liu… - Land Degradation & …, 2024 - Wiley Online Library
Land degradation due to mismanagement is widespread globally and may threaten the
achievement of several UN Sustainable Development Goals. Yet the differences in land …
achievement of several UN Sustainable Development Goals. Yet the differences in land …
Contribution of predictive factors of land degradation occurrence applying maximum entropy model
Land degradation (LD) is a significant environmental issue that needs to be spatially
mapped in different areas. This research provides a framework to prioritize the geo …
mapped in different areas. This research provides a framework to prioritize the geo …
Comparing the efficiency of WOE and EFB models for spatial pattern analysis of land degradation (case study: Qazvin plain)
Land degradation is a global natural hazard that can be controlled by distinguishing
susceptible areas. Although new approaches for determining areas prone to land …
susceptible areas. Although new approaches for determining areas prone to land …
[HTML][HTML] The efficiency of remote sensing and machine learning algorithms in the zoning of susceptible areas to dust in Isfahan province
M Afshari, A Vali - Desert Management, 2023 - jdmal.ir
IntroductionDust is a phenomenon that mainly occurs in arid and semi-arid areas as a result
of high wind speed and turbulence on the surface of the soil without vegetation and prone to …
of high wind speed and turbulence on the surface of the soil without vegetation and prone to …