Spatial prediction of groundwater potential map** based on convolutional neural network (CNN) and support vector regression (SVR)
M Panahi, N Sadhasivam, HR Pourghasemi… - Journal of …, 2020 - Elsevier
Freshwater shortages have become much more common globally in recent years. Water
resources that are naturally available beneath the surface are capable of reversing this …
resources that are naturally available beneath the surface are capable of reversing this …
Flood detection and susceptibility map** using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based …
Map** flood-prone areas is a key activity in flood disaster management. In this paper, we
propose a new flood susceptibility map** technique. We employ new ensemble models …
propose a new flood susceptibility map** technique. We employ new ensemble models …
Shallow landslide susceptibility map**: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector …
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices,
and can cause social upheaval and loss of life. As a result, many scientists study the …
and can cause social upheaval and loss of life. As a result, many scientists study the …
Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion
Gully erosion possess a serious hazard to critical resources such as soil, water, and
vegetation cover within watersheds. Therefore, spatial maps of gully erosion hazards can be …
vegetation cover within watersheds. Therefore, spatial maps of gully erosion hazards can be …
A review on assessing and map** soil erosion hazard using geo-informatics technology for farming system management
Soil erosion is a severe threat to food production systems globally. Food production in
farming systems decreases with increasing soil erosion hazards. This review article focuses …
farming systems decreases with increasing soil erosion hazards. This review article focuses …
Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and GIS techniques
Concerning the significant increase in the negative effects of flash-floods worldwide, the
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …
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 …
Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility
W Chen, X Lei, R Chakrabortty, SC Pal… - Journal of …, 2021 - Elsevier
The objective of this study is to assess the gully head-cut erosion susceptibility and identify
gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area …
gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area …
Landslide susceptibility map** using machine learning algorithms and remote sensing data in a tropical environment
We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
Assessing the performance of GIS-based machine learning models with different accuracy measures for determining susceptibility to gully erosion
The main purpose was to compare discrimination and reliability of four machine learning
models to create gully erosion susceptibility map (GESM) in a part of Ekbatan Dam Basin …
models to create gully erosion susceptibility map (GESM) in a part of Ekbatan Dam Basin …