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[HTML][HTML] Parameters derived from and/or used with digital elevation models (DEMs) for landslide susceptibility map** and landslide risk assessment: a review
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 …
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 …
worldwide over the last two centuries. The installation of land drains not only affects the …
Global wetlands: Potential distribution, wetland loss, and status
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 …
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
Flood is one of the most devastating natural disasters with socio-economic and
environmental consequences. Thus, comprehensive flood management is essential to …
environmental consequences. Thus, comprehensive flood management is essential to …
Evaluation of different machine learning models for predicting and map** the susceptibility of gully erosion
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 …
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
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 …
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
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 …
complexity is key to save human lives and conserve natural ecosystems. Reducing the …
Height Above the Nearest Drainage–a hydrologically relevant new terrain model
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 …
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
A quantitative understanding of the hydro-environmental factors that influence the
occurrence of agricultural drought events would enable more strategic climate change …
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
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 …
Ganga Plain, Ganga foreland basin. Following inclusivity rule, 12 major flood explanatory …