[HTML][HTML] Review of satellite radar interferometry for subsidence analysis

F Raspini, F Caleca, M Del Soldato, D Festa… - Earth-Science …, 2022 - Elsevier
This paper includes a critical review of the existing literature on the use of satellite SAR
imagery for subsidence analysis. Land subsidence, related to multiple natural and human …

[HTML][HTML] Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression

S Mehravar, SV Razavi-Termeh, A Moghimi… - Journal of …, 2023 - Elsevier
Flood has long been known as one of the most catastrophic natural hazards worldwide.
Mapping flood-prone areas is an important part of flood disaster management. In this study …

[HTML][HTML] Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a …

SV Razavi-Termeh, MB Seo, A Sadeghi-Niaraki… - Weather and Climate …, 2023 - Elsevier
Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India

S Saravanan, D Abijith, NM Reddy, KSS Parthasarathy… - Urban Climate, 2023 - Elsevier
Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …

Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms

M Rihan, AA Bindajam, S Talukdar, MW Naikoo… - Advances in Space …, 2023 - Elsevier
In the hilly region of the Western Himalayas, forest fires play a crucial role in forest
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …

Spatio-temporal modeling of PM2. 5 risk mapping using three machine learning algorithms

SZ Shogrkhodaei, SV Razavi-Termeh, A Fathnia - Environmental Pollution, 2021 - Elsevier
Urban air pollution is one of the most critical issues that affect the environment, community
health, economy, and management of urban areas. From a public health perspective, PM …

Flood hazard assessment in Yemen using a novel hybrid approach of Grey Wolf and Levenberg Marquardt optimizers

AM Al-Areeq, RAA Saleh, AAJ Ghanim… - Geocarto …, 2023 - Taylor & Francis
This study aims to map flood susceptibility in the Qaa'Jahran watersheds located in Dhamar,
Yemen, using geoprocessing and computational techniques. Historical flood data and SAR …

Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches

S Duwal, D Liu, PM Pradhan - Geomatics, Natural Hazards and …, 2023 - Taylor & Francis
Abstract The Karnali River Basin (KRB) comprises the longest river in Nepal, located south
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …

[HTML][HTML] Susceptibility analysis of land subsidence along the transmission line in the salt lake area based on remote sensing interpretation

B Jin, K Yin, Q Li, L Gui, T Yang, B Zhao, B Guo… - Remote Sensing, 2022 - mdpi.com
As the influence of extreme climate and human engineering activities intensifies, land
subsidence frequently occurs in the Salt Lake area of Qinghai Province, China, which …

[HTML][HTML] Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping

N Shabanpour, SV Razavi-Termeh… - International Journal of …, 2022 - Elsevier
Cutaneous leishmaniasis is a complex infection that is caused by different species of
Leishmania and affects more than 2 million people in 88 countries. Identifying the …