Multiple criteria decision making for the achievement of the UN sustainable development goals: A systematic literature review and a research agenda

M Sousa, MF Almeida, R Calili - Sustainability, 2021 - mdpi.com
Multiple-criteria decision making (MCDM) methods have been widely employed in various
fields and disciplines, including decision problems regarding Sustainable Development …

Current and future status of GIS-based landslide susceptibility map**: a literature review

S Lee - Korean Journal of Remote Sensing, 2019 - koreascience.kr
Landslides are one of the most damaging geological hazards worldwide, threating both
humans and property. Hence, there have been many efforts to prevent landslides and …

Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China

Z Shao, ME Huq, B Cai, O Altan, Y Li - Environmental Modelling & Software, 2020 - Elsevier
Abstract In Shanxi Province, China, groundwater is a major problem and exploration of
groundwater potential zones (GWPZs) is a great necessity. This paper contributed to …

Modeling groundwater potential zone in a semi-arid region of Aseer using fuzzy-AHP and geoinformation techniques

J Mallick, RA Khan, M Ahmed, SD Alqadhi, M Alsubih… - Water, 2019 - mdpi.com
Saudi Arabia's arid and semi-arid regions suffer from water scarcity because of climatic
constraints and rapid growth of domestic and industrial water uses. The growing demand for …

A novel ensemble approach for landslide susceptibility map** (LSM) in Darjeeling and Kalimpong districts, West Bengal, India

J Roy, S Saha, A Arabameri, T Blaschke, DT Bui - Remote Sensing, 2019 - mdpi.com
Landslides are among the most harmful natural hazards for human beings. This study aims
to delineate landslide hazard zones in the Darjeeling and Kalimpong districts of West …

Landslide susceptibility map** using knowledge driven statistical models in Darjeeling District, West Bengal, India

J Roy, S Saha - Geoenvironmental Disasters, 2019 - Springer
Landslide is an important geological hazard in the large extent of geo-environment,
damaging the human lives and properties. The present work, intends to identify the landslide …

Integrating landslide typology with weighted frequency ratio model for landslide susceptibility map**: A case study from Lanzhou city of northwestern China

H Shu, Z Guo, S Qi, D Song, HR Pourghasemi, J Ma - Remote Sensing, 2021 - mdpi.com
Although numerous models have been employed to address the issue of landslide
susceptibility at regional scale, few have incorporated landslide typology into a model …

Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia

S Alqadhi, J Mallick, A Balha, A Bindajam… - Earth Science …, 2021 - Springer
The present study uses Landsat satellite images of 1990, 2000 and 2018 to identify the land-
use changes. Multilayer perceptron-neural network based land change modelling (LCM) …

Slope unit-based landslide susceptibility map** using certainty factor, support vector machine, random forest, CF-SVM and CF-RF models

Z Zhao, ZY Liu, C Xu - Frontiers in Earth science, 2021 - frontiersin.org
Landslide susceptibility map** is very important for landslide risk evaluation and land use
planning. Toward this end, this paper presents a case study in Ningqiang County, Shanxi …

Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy …

N Agrawal, J Dixit - All Earth, 2022 - Taylor & Francis
The main goal of the present study is to generate the GIS-based landslide susceptibility map
(LSM) of Meghalaya, India. For this purpose, two bivariate statistical (FR and SE) and multi …