Measuring, modelling and managing gully erosion at large scales: A state of the art

M Vanmaercke, P Panagos, T Vanwalleghem… - Earth-Science …, 2021 - Elsevier
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 …

Machine learning data-driven approaches for land use/cover map** and trend analysis using Google Earth Engine

B Feizizadeh, D Omarzadeh… - Journal of …, 2023 - Taylor & Francis
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 …

[HTML][HTML] DEM resolution effects on machine learning performance for flood probability map**

M Avand, A Kuriqi, M Khazaei… - Journal of Hydro …, 2022 - Elsevier
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 …

GIS based hybrid computational approaches for flash flood susceptibility assessment

BT Pham, M Avand, S Janizadeh, TV Phong… - Water, 2020 - mdpi.com
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 …

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)

O Ghorbanzadeh, A Crivellari, P Ghamisi, H Shahabi… - Scientific Reports, 2021 - nature.com
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 …

Improvement of best first decision trees using bagging and dagging ensembles for flood probability map**

P Yariyan, S Janizadeh, T Van Phong… - Water Resources …, 2020 - Springer
Abstract Development of zoning and flood-forecasting models is essential for making
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

S Tavakkoli Piralilou, G Einali, O Ghorbanzadeh… - Remote sensing, 2022 - mdpi.com
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 …

[HTML][HTML] GIS-based machine learning algorithms for gully erosion susceptibility map** in a semi-arid region of Iran

X Lei, W Chen, M Avand, S Janizadeh, N Kariminejad… - Remote Sensing, 2020 - mdpi.com
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 …

[HTML][HTML] Flash flood susceptibility assessment and zonation using an integrating analytic hierarchy process and frequency ratio model for the Chitral District, Khyber …

H Waqas, L Lu, A Tariq, Q Li, MF Baqa, J ** using an improved analytic network process with statistical models
P Yariyan, M Avand, RA Abbaspour… - … , Natural Hazards and …, 2020 - Taylor & Francis
Flooding is a natural disaster that causes considerable damage to different sectors and
severely affects economic and social activities. The city of Saqqez in Iran is susceptible to …