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Measuring, modelling and managing gully erosion at large scales: A state of the art
Soil erosion is generally recognized as the dominant process of land degradation. The
formation and expansion of gullies is often a highly significant process of soil erosion …
formation and expansion of gullies is often a highly significant process of soil erosion …
Machine learning data-driven approaches for land use/cover map** and trend analysis using Google Earth Engine
With the recent advances in earth observation technologies, the increasing availability of
data from more and more different satellite sensors as well as progress in semi-automated …
data from more and more different satellite sensors as well as progress in semi-automated …
[HTML][HTML] DEM resolution effects on machine learning performance for flood probability map**
Floods are among the devastating natural disasters that occurred very frequently in arid
regions during the last decades. Accurate assessment of the flood susceptibility map** is …
regions during the last decades. Accurate assessment of the flood susceptibility map** is …
GIS based hybrid computational approaches for flash flood susceptibility assessment
Flash floods are one of the most devastating natural hazards; they occur within a catchment
(region) where the response time of the drainage basin is short. Identification of probable …
(region) where the response time of the drainage basin is short. Identification of probable …
A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)
Earthquakes and heavy rainfalls are the two leading causes of landslides around the world.
Since they often occur across large areas, landslide detection requires rapid and reliable …
Since they often occur across large areas, landslide detection requires rapid and reliable …
Improvement of best first decision trees using bagging and dagging ensembles for flood probability map**
Abstract Development of zoning and flood-forecasting models is essential for making
optimal management decisions before and after floods. The Komijan watershed of Markazi …
optimal management decisions before and after floods. The Komijan watershed of Markazi …
[HTML][HTML] A Google Earth Engine approach for wildfire susceptibility prediction fusion with remote sensing data of different spatial resolutions
The effects of the spatial resolution of remote sensing (RS) data on wildfire susceptibility
prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 …
prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 …
[HTML][HTML] GIS-based machine learning algorithms for gully erosion susceptibility map** in a semi-arid region of Iran
In the present study, gully erosion susceptibility was evaluated for the area of the Robat Turk
Watershed in Iran. The assessment of gully erosion susceptibility was performed using four …
Watershed in Iran. The assessment of gully erosion susceptibility was performed using four …