Back to search

Article

Mapping karst depressions and sinkholes in anthropogenically influenced areas

2024-01-19

Abstract excerpt

<title>Abstract</title> <p>A comprehensive sinkhole inventory is crucial for accurately assessing sinkhole susceptibility. The presented study introduces a semi-automatic approach for mapping potential sinkholes through a geomorphometric analysis of digital elevation models complemented by statistical analysis. This approach aims to augment current sinkhole inventories in quantity and quality. We chose the distin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
65dd4be0-1d89-505d-a52e-39b7fc8dd751
DOI
10.21203/rs.3.rs-3869389/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Mapping karst depressions and sinkholes in anthropogenically influenced areasDOI 10.21203/rs.3.rs-3869389/v1
Geomorphology, land-use, and hemeroby of foothills in Colombian Orinoquia: classification and correlation at a regional scale.Semantic proximity
Navigating the Complexity Trap: Deep Learning Optimization for Mapping Historic Surface Mines in Appalachian TerrainSemantic proximity
Integrating Geomorphology-Based Terrain Segmentation with Machine Learning for Landslide Susceptibility Assessment in the Darjeeling-Sikkim Himalaya, IndiaSemantic proximity
Examining the groundwater level in a semi-arid district of eastern India: spatiotemporal trends, determinants, and future prospectsSemantic proximity
Assessing the Evolution of Point Bars along the Niger River in the Niger Delta, Nigeria (1974-2024) using Remote Sensing and Machine learningSemantic proximity
A Comparative Study of TabNet and Classical Machine Learning Models for Landslide PredictionSemantic proximity
Dynamics of Land Use Land Cover Change and Soil Erosion Rate in Chure Landscape of Sudurpaschim ProvinceSemantic proximity
Risk Resilience of Growing Settlements in Landslide Prone Hilly Areas: Case Study on Kalimpong-I Block, Darjeeling District, West BengalSemantic proximity
Coastal Anthropogeomorphological Changes in Ashairej Promontory, Kuwait BaySemantic proximity
Assessing Alluvial Fan of Bergama Using High Resolution DEM Generated from Airborne LiDAR DataSemantic proximity
Spatial Analysis of Soil Erosion Loss Using Geographic Information System and Revised Universal Soil Loss Equation Techniques Northeast of EthiopiaSemantic proximity
Landslide Susceptibility Analysis in Kaski District, Nepal: Using Remote Sensing Technique with Intensive Field VerificationSemantic proximity
Select a neighboring publication to make it the new centre.