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Digital map** of selected soil properties using machine learning and geostatistical techniques in Mashhad plain, northeastern Iran
Understanding the spatial variation of soil properties is essential for monitoring land capabilities as well as the sustainable management of soil...
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Comparative analysis of the mass elevation effect and its implication for the treeline between the Tibetan and Bolivian plateaus based on solar radiation
As one of the main non-zonal factors, the mass elevation effect (MEE) has significant impacts on both regional climates and mountain ecological...
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Automatic map** of river canyons using a digital elevation model and vector river data
River canyons map** plays an important role in water conservation project construction, tourism resource development, and analysis of fluvial...
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Individual tree segmentation and biomass estimation based on UAV Digital aerial photograph
Digital aerial photograph (DAP) data is processed based on Structure from Motion (SfM) algorithm and regional net adjustment method to generate...
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Enhanced machine learning models development for flash flood map** using geospatial data
Flash floods are dangerous and unpredictable. This study aimed to improve flash flood prediction in Algeria’s Hodna Basin using advanced AI models...
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Baseline elevation and siltation of Ribb reservoir in the Upper Abbay Basin, Ethiopia: a good threshold for change detection and sustainability
Water reservoir construction for irrigation agriculture is becoming an important strategic solution for food security. Consequently, large numbers of...
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Comparison of linear, generalized additive models and machine learning algorithms for spatial climate interpolation
Geospatial atmospheric data is the input variable of a wide range of hydrological and ecological spatial models, many of which are oriented towards...
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Landslide susceptibility map** and sensitivity analysis using various machine learning models: a case study of Beas valley, Indian Himalaya
Landslide is one of the most destructive hazards in the Upper Beas valley of the Himalayan region of India. Landslide susceptibility map** is an...
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A method for mixed additive and multiplicative random error models with inequality constraints in geodesy
In the geodetic data processing field, most methods for dealing with inequality constraints model are based on additive random error (ARE) models,...
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Advancing seismic landslide susceptibility modeling: a comparative evaluation of deep learning models through particle swarm optimization
Landslides triggered by earthquakes pose significant risks in mountainous regions, necessitating advanced modeling techniques for accurate...
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On how defining and measuring a channel bed elevation impacts key quantities in sediment overloading with supercritical flow
The manuscript presents the results of an aggradation experiment performed in a laboratory channel with supercritical flow. The channel was fed with...
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Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models
Globally, coastal erosion significantly impacts the socio-economic conditions and infrastructure development of coastal regions, with Vietnam facing...
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An Improved Fineness Flood Risk Analysis Method Based on Digital Terrain Acquisition
Flood risk analysis plays an essential role in flood warning systems and disaster prevention. The design flood is one flood event that probably...
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Residual relief modelling: digital elevation enhancement for shipwreck site characterisation
Scour processes play a critical role in the preservation status of submerged historic shipwrecks. Erosion of sediment leads to enhanced exposure of...
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Elevation change of the Urumqi Glacier No.1 derived from Sentinel-1A data
Accurate measurements of glacier elevation changes play a crucial role in various glaciological studies related to glacier dynamics and mass balance....
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Evaluating the performance of propagation models of flow-like landslides at regional scale
Propagation models of flow-like landslides can be calibrated by comparing on-site evidence of past occurrences with the propagation paths and the...
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Regional terrain-based VS30 prediction models for China
Time-averaged shear-wave velocity to 30 m ( V S 30 ) is commonly used in ground motion models as a parameter for evaluating site effects. This study used...
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Comparison between multi RUSLE-SDR models for estimation of reservoir sedimentation: a case study of Dokan Lake Basin, Iraq–Iran
Reservoir sedimentation in mountainous watersheds, such as the Zagros mountains, is high. Reservoir sedimentation reduces water storage and threatens...
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Rainfall-induced landslide prediction models, part ii: deterministic physical and phenomenologically models
Landslides are frequent hillslope events that may present significant risks to humans and infrastructure. Researchers have made ongoing efforts to...
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Assessment of baseflow estimates using ArcSWAT and digital filter method in Mago River Basin of Arunachal Pradesh
Baseflow is the contribution of groundwater to the streamflow. The present study deals with the estimation of baseflow using the SWAT model and...
