Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
Landslides are a geological hazard that can pose a serious threat to human health and the
environment of highlands or mountain slopes. Landslide susceptibility mapping is an …
environment of highlands or mountain slopes. Landslide susceptibility mapping is an …
[HTML][HTML] Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model
Floods are natural hazards that lead to devastating financial losses and large displacements
of people. Flood susceptibility maps can improve mitigation measures according to the …
of people. Flood susceptibility maps can improve mitigation measures according to the …
[HTML][HTML] Urban flood modeling using deep-learning approaches in Seoul, South Korea
Identification of flood-prone sites in urban environments is necessary, but there is insufficient
hydraulic information and time series data on surface runoff. To date, several attempts have …
hydraulic information and time series data on surface runoff. To date, several attempts have …
Carbon emissions induced by land-use and land-cover change from 1970 to 2010 in Zhejiang, China
E Zhu, J Deng, M Zhou, M Gan, R Jiang, K Wang… - science of the total …, 2019 - Elsevier
Land-use and land-cover change (LUCC) is a crucial factor affecting carbon emissions.
Zhejiang Province has witnessed unprecedented LUCC concomitant with rapid urbanization …
Zhejiang Province has witnessed unprecedented LUCC concomitant with rapid urbanization …
Groundwater potential mapping using remote sensing and GIS-based machine learning techniques
Adequate groundwater development for the rural population is essential because
groundwater is an important source of drinking water and agricultural water. In this study …
groundwater is an important source of drinking water and agricultural water. In this study …
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran
Flood occurs as a result of high intensity and long-term rainfalls accompanied by snowmelt
which flow out of the main river channel onto the flood prone areas and damage the …
which flow out of the main river channel onto the flood prone areas and damage the …
Flood susceptibility mapping using an improved analytic network process with statistical models
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 …
severely affects economic and social activities. The city of Saqqez in Iran is susceptible to …
Flood susceptibility modeling and hazard perception in Rwanda
Flooding is a deleterious phenomenon that induces detrimental impacts on humans,
properties and environment. As a result, the knowledge of susceptible places and hazard …
properties and environment. As a result, the knowledge of susceptible places and hazard …
A comparison of performance measures of three machine learning algorithms for flood susceptibility mapping of river Silabati (tropical river, India)
Flood is the most common phenomenon causing extensive disruption to the environment,
socio-economy, infrastructure and many other aspects of human life. Flood susceptibility …
socio-economy, infrastructure and many other aspects of human life. Flood susceptibility …
Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: a case study from …
Identification of areas susceptible to floods is an important issue which requires an
increased attention due to the changing frequency and magnitude of floods, which is mainly …
increased attention due to the changing frequency and magnitude of floods, which is mainly …