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Geomorphic, Active Layer and Environmental Change Detection Using SAR Scene Coherence Images
2000Interferometric scene coherence images derived from synthetic aperture radar (SAR) data can reveal terrain morphology, stability, and highlight environmental changes. Regions of high phase correlation suggest terrain stability; regions of low phase coherence suggest physical changes have occurred at the scale of the radar wavelength.
P Budkewitsch +4 more
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Geomorphic change detection in small Alpine basins using LiDAR DTMs [PDF]
Morphological change evaluation of earth surface through time is an important task in environmental monitoring and risk management. Methods devoted to the assessment of geomorphic changes can be used to identify geomorphologically unstable areas, to quantify processes intensity, and to compute sediment budgets.
Goldin B, Cavalli M, Comiti F, Marchi L
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Geomorphic change detection using LiDAR DTMs in two small basins of the Italian Alps.
2013The description and quantification of landscape changes as modulated by geomorphic processes, at different spatial and temporal scales, constitute the core of modern geomorphic research. The high resolution and accuracy of currently available airborne digital terrain models (DTMs) allow the development of new methods for the quantitative monitoring of ...
Goldin B +4 more
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2017
Following the 2016 Mw 7.8 Kaikōura Earthquake high resolution aerial photography of the affected area in the northeast of the South Island was captured. Showing fault rupture and landslide failure beyond the areas of limited post-earthquake LiDAR capture, this dataset was to be used for generating the landslide mapping digital dataset and analysing ...
Jones, KE, Hill, MP, Lee, J
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Following the 2016 Mw 7.8 Kaikōura Earthquake high resolution aerial photography of the affected area in the northeast of the South Island was captured. Showing fault rupture and landslide failure beyond the areas of limited post-earthquake LiDAR capture, this dataset was to be used for generating the landslide mapping digital dataset and analysing ...
Jones, KE, Hill, MP, Lee, J
openaire +1 more source
2014
Monitoring debris-flow prone catchments and collecting field data is of extreme importance for improving the knowledge and therefore the management of such hazardous phenomena. High-resolution Digital Elevation Models (DEMs) have recently established as an important tool for the study of geo-hydrological and geomorphological processes.
Blasone G, Cavalli M, CAZORZI, Federico
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Monitoring debris-flow prone catchments and collecting field data is of extreme importance for improving the knowledge and therefore the management of such hazardous phenomena. High-resolution Digital Elevation Models (DEMs) have recently established as an important tool for the study of geo-hydrological and geomorphological processes.
Blasone G, Cavalli M, CAZORZI, Federico
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Deep Learning–Based Vegetation Feature Detection for UAV-Derived Geomorphic Change Monitoring
This study presents a data-driven framework that integrates deep learning and UAV-based remote sensing for geomorphic change detection. A Mask R-CNN model is trained to identify specific plant species from high-resolution orthoimagery, treating vegetation as spatially persistent surface features.Wen-Ping Tsai +2 more
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USING TLS AND UAV DATA FOR GEOMORPHIC CHANGE DETECTION: CASE STUDY OF EASTERN RHODOPES, BULGARIA
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings, 2021Veselina Gospodinova +2 more
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Geomorphic Change Detection in an Incised Montane Meadow Stream Channel
2023openaire +1 more source
Denudation and geomorphic change in the Anthropocene; a global overview.
Earth-Science Reviews, 2022Antonio Cendrero +2 more
exaly

