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GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India
Published 2025-01-01“…Slope, aspect, soil, elevation, land use and land cover, drainage density, normalized difference vegetation index, geomorphology, road, lineament density and rainfall patterns were the 11 landslide conditioning elements considered for the modeling process. …”
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A Novel Algorithm for Estimating the Sand Dune Density of the Taklimakan Desert Based on Remote Sensing Data
Published 2025-01-01“…The dune density is an important parameter for representing the characteristics of desert geomorphology, providing a precise depiction of the undulating topography of the desert. …”
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124
Life cycle assessment and mechanical strength of cement composites with conventional, and recycled fine aggregate
Published 2024-09-01“…Unbridled sand extraction from the riverbed and the river bank has detrimental impacts on the environment and river geomorphology. On the other hand, construction and demolition sites generate a significant amount of solid waste, which contains fine aggregate. …”
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Assessment of groundwater potential zones using geospatial techniques in Mangalore Taluk, Dakshina Kannada District, Karnataka, India
Published 2025-01-01“…Groundwater availability in Mangalore taluk was divided based on its hydro geomorphologic conditions. Satellite imageries are used for preparing various thematic maps, viz. slope, drainage density, lineament, land use/cover, soil, rainfall, geology and geomorphology map, which were transformed to raster class data using the feature to raster converter tool in ArcGIS. …”
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126
Field Investigation on Thermal Regime of Permafrost and Talik in a River Terrace, the Interior of Qinghai-Tibet Plateau
Published 2022-01-01“…The complex plane and spatial distribution of permafrost in the field are closely related to local factors such as topography, geomorphology, groundwater, and lithology of shallow ground. …”
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Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India
Published 2022-01-01“…For this purpose, ten landslide affecting factors, namely, slope degree, aspect, curvature, elevation, land cover, slope forming materials, geomorphology (landforms), distance to rivers, distance to roads, and overburden depth were used for the development of landslide susceptibility maps using the SE and WOE methods. …”
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Determining the Natural Disaster Diversity of Van Province by Fine Kinney Risk Assessment Method (FK-RAM)
Published 2023-07-01“…Neotectonics, geology, geomorphology and climatic characteristics of the province are among these parameters. …”
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Research on Slope Stability Evaluation Based on Improved Set Pair Analysis Method: A Case of Tonglvshan Open-Pit Mine
Published 2021-01-01“…First, an open-pit mine slope stability evaluation index system with 14 indicators in 4 categories, namely the topography and geomorphology, geological structure, hydrogeology, and other factors, have been constructed. …”
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131
Landscape Transformations (1987–2022): Analyzing Spatial Changes Driven by Mining Activities in Ayapel, Colombia
Published 2025-01-01“…For this, the recognition of the physical geographical characteristics of the area was carried out in order to group homogeneous landscape units through a cartographic overlay of various layers of information, considering variables such as topography, geomorphology, and lithology. This research identifies a total of 16 landscape units, 8 of which were intervened in 1987, mainly associated with denudational hills. …”
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Hydrological Behavior of an Infiltration-Induced Landslide in Colorado, USA
Published 2019-01-01“…To better understand the factors controlling these observed differences, observations of the stratigraphy and the geomorphology of the watershed beyond the landslide body were incorporated into a conceptual model tested using numerical simulations of two-dimensional, variably saturated groundwater flow. …”
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Predicting the thickness of shallow landslides in Switzerland using machine learning
Published 2025-02-01“…We explored 39 different covariates, including metrics on terrain, geomorphology, vegetation, and lithology, at three different cell sizes. …”
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134
Collaborative Effort Towards a FAIR and OPEN Indo-Pacific Pollen Database (IPPD)
Published 2025-01-01“…In addition, the IPPD is also being hosted by the OCTOPUS database, which integrates archaeology, sedimentology, geomorphology, charcoal, and non-human vertebrate fossil collections in a thoroughly Australasian context. …”
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Spatial characteristics of soil potassium in the early stage of vegetation restoration and influencing factors in southwest China’s karst region
Published 2025-01-01“…It analyzes the distribution patterns of Total potassium (TK) and Avail potassium (AK) in the soil and employs a Generalized Linear Mixed Model (GLMM) to investigate the effects of geomorphology, soil aggregates, and their interactions on the changes in soil potassium(K) elements. …”
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Evolution and trend of landslide research in India based on a decade long publication record
Published 2025-01-01“…The study highlights geology, geomorphology, and hydrology as key aggravating factors for landslide instances.…”
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Assessment of Groundwater Potential Zones of Upper Blue Nile River Basin Using Multi-Influencing Factors under GIS and RS Environment: A Case Study on Guder Watersheds, Abay Basin,...
Published 2022-01-01“…Groundwater potential zones are prepared by using various multi-influencing factors like geomorphology, land use/cover, lithology, soil type, soil texture, drainage density, slope, lineament, rainfall, and elevation. …”
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Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City
Published 2025-01-01“…The study considered various disaster-inducing factors and selected 13 assessment criteria from topography and geomorphology, geological structure, engineering geology of geotechnical bodies, and human engineering activities. …”
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Evaluation of Rainfall-Induced Accumulation Landslide Susceptibility Based on Remote Sensing Interpretation
Published 2025-01-01“…Elevation, remote sensing image texture features, and lithology are highly significant factors in the evaluation system, indicating that the development factors of slope geological disasters in the study area are mainly related to topography, geomorphology, and lithology. The landslide susceptibility evaluation results in Gongping Town, Fengjie County, validate the applicability of the Random Forest model developed in this study to other regions.…”
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Integrated Machine Learning Approaches for Landslide Susceptibility Mapping Along the Pakistan–China Karakoram Highway
Published 2025-01-01“…Twelve geospatial factors were examined, categorized into Topography/Geomorphology, Land Cover/Vegetation, Geology, Hydrology, and Anthropogenic Influence. …”
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