Soil management effects on soil water erosion and runoff in central Syria—A comparative evaluation of general linear model and random forest regression

S Mohammed, A Al-Ebraheem, IJ Holb, K Alsafadi… - Water, 2020 - mdpi.com
The Mediterranean part of Syria is affected by soil water erosion due to poor land
management. Within this context, the main aim of this research was to track soil erosion and …

Building extraction using orthophotos and dense point cloud derived from visual band aerial imagery based on machine learning and segmentation

AD Schlosser, G Szabó, L Bertalan, Z Varga, P Enyedi… - Remote Sensing, 2020 - mdpi.com
Urban sprawl related increase of built-in areas requires reliable monitoring methods and
remote sensing can be an efficient technique. Aerial surveys, with high spatial resolution …

Landform classification: a high-performing mapping unit partitioning tool for landslide susceptibility assessment—a test in the Imera River basin (northern Sicily, Italy)

C Martinello, C Cappadonia, C Conoscenti… - Landslides, 2022 - Springer
In landslide susceptibility studies, the type of mapping unit adopted affects the obtained
models and maps in terms of accuracy, robustness, spatial resolution and geomorphological …

Optimal slope units partitioning in landslide susceptibility mapping

C Martinello, C Cappadonia, C Conoscenti… - Journal of …, 2021 - Taylor & Francis
In landslide susceptibility modeling, the selection of the mapping units is a very relevant
topic both in terms of geomorphological adequacy and suitability of the models and final …

[HTML][HTML] Exploring the geomorphological adequacy of the landslide susceptibility maps: A test for different types of landslides in the Bidente river basin (northern Italy)

C Martinello, M Delchiaro, G Iacobucci, C Cappadonia… - Catena, 2024 - Elsevier
Landslide susceptibility modelling is a crucial tool for implementing effective strategies in
landslide risk mitigation. A plethora of statistical methods is available for generating accurate …

The relative importance of globalization and public expenditure on life expectancy in Europe: An approach based on MARS methodology

PA Martin Cervantes, N Rueda Lopez… - International Journal of …, 2020 - mdpi.com
Background: There has been a widespread debate about the overall impact of globalization
on population, not just economically, but also in terms of health status. Moreover, the current …

Gully erosion susceptibility mapping using multivariate adaptive regression splines—replications and sample size scenarios

N Javidan, A Kavian, HR Pourghasemi, C Conoscenti… - Water, 2019 - mdpi.com
Soil erosion is a serious problem affecting numerous countries, especially, gully erosion. In
the current research, GIS techniques and MARS (Multivariate Adaptive Regression Splines) …

Predicting Earthquake-Induced Landslides by Using a Stochastic Modeling Approach: A Case Study of the 2001 El Salvador Coseismic Landslides

C Mercurio, LP Calderón-Cucunuba… - … International Journal of …, 2023 - mdpi.com
In January and February 2001, El Salvador was hit by two strong earthquakes that triggered
thousands of landslides, causing 1259 fatalities and extensive damage. The analysis of …

Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria

S Mohammed, A Jouhra, GO Enaruvbe… - Land Degradation & …, 2023 - Wiley Online Library
The development of new techniques, such as machine learning (ML), can provide better
insight into the processes and drivers of soil erosion and runoff. However, the performance …

Investigating the effects of cell size in statistical landslide susceptibility modelling for different landslide typologies: a test in central–northern sicily

C Martinello, C Cappadonia, E Rotigliano - Applied Sciences, 2023 - mdpi.com
Optimally sizing grid cells is a relevant research issue in landslide susceptibility evaluation.
In fact, the size of the adopted mapping units influences several aspects spanning from …