[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 …
Characterization of the hydrochemistry, scaling and corrosivity tendencies, and irrigation suitability of the water of the Rivers Karawa and Iyiaji
Assessing water quality is necessary to ascertain its viability for domestic, industrial, and
agricultural purposes. A total of 48 water samples were, respectively, drawn from the Rivers …
agricultural purposes. A total of 48 water samples were, respectively, drawn from the Rivers …
Image classification and land cover mapping using sentinel-2 imagery: optimization of SVM parameters
Land use/cover (LU/LC) classification provides proxies of the natural and social processes
related to urban development, providing stakeholders with crucial information. Remotely …
related to urban development, providing stakeholders with crucial information. Remotely …
Assessment of land degradation using machine‐learning techniques: A case of declining rangelands
Increased use and increasing demands pose serious threats to rangelands. In this study, we
document a pronounced downward trend in rangeland quality in the Alborz Mountains in …
document a pronounced downward trend in rangeland quality in the Alborz Mountains in …
Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran
Choosing Selecting suitable sites for afforestation is a complex process that is influenced by
various factors that require the use of new models and methods in order to create better …
various factors that require the use of new models and methods in order to create better …
A comparative study on machine learning modeling for mass movement susceptibility mapping (a case study of Iran)
Mass movements are among the most dangerous natural hazards in mountainous regions.
The present study employs machine learning (ML) models for mass movement susceptibility …
The present study employs machine learning (ML) models for mass movement susceptibility …
A novel GIS-based ensemble technique for rangeland downward trend mapping as an ecological indicator change
Rangelands provide important ecosystem services worldwide. The present study was aimed
to map rangeland degradation in a critical mountainous rangeland ecosystem of Iran. The …
to map rangeland degradation in a critical mountainous rangeland ecosystem of Iran. The …
A Review of the Sediment Production and Transport Processes of Forest Road Erosion
J Yu, Q Zhao, Z Yu, Y Liu, S Ding - Forests, 2024 - mdpi.com
Forest roads are a common land use feature with a significant impact on sediment yield and
the water sediment transport processes within a watershed, seriously disrupting the safety …
the water sediment transport processes within a watershed, seriously disrupting the safety …
Identifying tree health using sentinel-2 images: a case study on Tortrix viridana L. infected oak trees in Western Iran
F Haghighian, S Yousefi, S Keesstra - Geocarto International, 2022 - Taylor & Francis
Forest land has a vital role in our planet ecosystem health. Forest areas are under natural
and human pressure worldwide. Pests may have irreparable damages to vegetation cover; …
and human pressure worldwide. Pests may have irreparable damages to vegetation cover; …
Identifying the spatial pattern and importance of hydro‐geomorphic drainage impairments on unpaved roads in the northeastern USA
Roads have been widely studied as sources of runoff and sediment and identified as
pollutant production sources to receiving waters. Despite the wealth of research on logging …
pollutant production sources to receiving waters. Despite the wealth of research on logging …