Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions

MA Moharram, DM Sundaram - Neurocomputing, 2023 - Elsevier
Recently, many efforts have been concentrated on land use land cover (LULC) classification
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …

Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China

H Xiong, C Ma, M Li, J Tan, Y Wang - Science of the total environment, 2023 - Elsevier
China has been subject to rapid urban expansion and afforestation since the economic
reform in 1978. However, the influence of land use and cover changes (LUCCs) and human …

Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards

Ö Ekmekcioğlu, K Koc - Catena, 2022 - Elsevier
This research proposes a novel step-wise binary prediction framework for the susceptibility
assessment of geo-hydrological hazards specific to floods and landslides. The framework of …

Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change

Q Lin, S Steger, M Pittore, J Zhang, L Wang… - Science of the total …, 2022 - Elsevier
Climate change can alter the frequency and intensity of extreme rainfall across the globe,
leading to changes in hazards posed by rainfall-induced landslides. In recent decades …

Mapping the landslide susceptibility considering future land-use land-cover scenario

A Tyagi, RK Tiwari, N James - Landslides, 2023 - Springer
The landslide susceptibility (LS) of any mountainous region is significantly affected by the
land-use land-cover (LULC) change. Recently, LULC change effects on landslides have …

A robust discretization method of factor screening for landslide susceptibility mapping using convolution neural network, random forest, and logistic regression models

Z Zhao, J Chen - International Journal of Digital Earth, 2023 - Taylor & Francis
The selection of discretization criteria and interval numbers of landslide-related
environmental factors generally fails to quantitatively determine or filter, resulting in …

Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change …

S Janizadeh, SM Bateni, C Jun, SC Pal, SS Band… - Gondwana …, 2023 - Elsevier
The objective of this research is to examine the possible impacts of climate change on
landslide susceptibility in Iran. To accomplish this, 15 independent variables including 11 …

Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan

MN Ahmad, Z Shao, RW Aslam, I Ahmad… - … Research and Risk …, 2022 - Springer
The notion of this research is based on the two devastating earthquake events that
happened on October 8, 2005, and September 24, 2019, in the regions of Azad Kashmir and …

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

HD Nguyen, DK Dang, QT Bui, AI Petrisor - Transactions in GIS, 2023 - Wiley Online Library
Natural hazards constitute a diverse category and are unevenly distributed in time and
space. This hinders predictive efforts, leading to significant impacts on human life and …

Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam

QV Viet Du, HD Nguyen, VT Pham… - Geocarto …, 2023 - Taylor & Francis
Understanding the negative effects of climate change and changes to land use/land cover
on natural hazards is an important feature of sustainable development worldwide, as these …