[HTML][HTML] Parameters derived from and/or used with digital elevation models (DEMs) for landslide susceptibility map** and landslide risk assessment: a review

N Saleem, ME Huq, NYD Twumasi, A Javed… - … International Journal of …, 2019 - mdpi.com
Digital elevation models (DEMs) are considered an imperative tool for many 3D visualization
applications; however, for applications related to topography, they are exploited mostly as a …

Effects of artificial land drainage on hydrology, nutrient and pesticide fluxes from agricultural fields–A review

A Gramlich, S Stoll, C Stamm, T Walter… - Agriculture, Ecosystems & …, 2018 - Elsevier
Agricultural intensification has led to a large increase in drained arable land and pastures
worldwide over the last two centuries. The installation of land drains not only affects the …

Global wetlands: Potential distribution, wetland loss, and status

S Hu, Z Niu, Y Chen, L Li, H Zhang - Science of the total environment, 2017 - Elsevier
Even though researchers have paid a great deal of attention to wetland loss and status, the
actual extent of wetland loss on a global scale, especially the loss caused directly by human …

Flood susceptibility map** using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

O Rahmati, HR Pourghasemi, H Zeinivand - Geocarto International, 2016 - Taylor & Francis
Flood is one of the most devastating natural disasters with socio-economic and
environmental consequences. Thus, comprehensive flood management is essential to …

Evaluation of different machine learning models for predicting and map** the susceptibility of gully erosion

O Rahmati, N Tahmasebipour, A Haghizadeh… - Geomorphology, 2017 - Elsevier
Gully erosion constitutes a serious problem for land degradation in a wide range of
environments. The main objective of this research was to compare the performance of seven …

Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

A Azareh, O Rahmati, E Rafiei-Sardooi… - Science of the Total …, 2019 - Elsevier
Gully erosion susceptibility map** is a fundamental tool for land-use planning aimed at
mitigating land degradation. However, the capabilities of some state-of-the-art data-mining …

Evaluation of multi-hazard map produced using MaxEnt machine learning technique

N Javidan, A Kavian, HR Pourghasemi, C Conoscenti… - Scientific reports, 2021 - nature.com
Natural hazards are diverse and uneven in time and space, therefore, understanding its
complexity is key to save human lives and conserve natural ecosystems. Reducing the …

Height Above the Nearest Drainage–a hydrologically relevant new terrain model

AD Nobre, LA Cuartas, M Hodnett, CD Rennó… - Journal of …, 2011 - Elsevier
This paper introduces a new terrain model named HAND, and reports on the calibration and
validation of landscape classes representing soil environments in Amazonia, which were …

Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia

O Rahmati, F Falah, KS Dayal, RC Deo… - Science of the Total …, 2020 - Elsevier
A quantitative understanding of the hydro-environmental factors that influence the
occurrence of agricultural drought events would enable more strategic climate change …

Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon's entropy models

A Arora, M Pandey, MA Siddiqui, H Hong… - Geocarto …, 2021 - Taylor & Francis
This work focuses on comparing results of flood susceptibility modelling in the part of Middle
Ganga Plain, Ganga foreland basin. Following inclusivity rule, 12 major flood explanatory …