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Assessment and forecasting of the urban dynamics through lulc based mixed model: evidence from Agartala, India
The main objective of this paper is to assess the urban expansion by using Remote Sensing
and Geographical Information System along with field verification. In recent decades, India …
and Geographical Information System along with field verification. In recent decades, India …
Soil erosion susceptibility map** using ensemble machine learning models: A case study of upper Congo river sub-basin
Despite its large size, the Congo Basin (CB), which spans ten countries, has remained an
area of particular interest for scientific discovery due to gaps in Earth science, environmental …
area of particular interest for scientific discovery due to gaps in Earth science, environmental …
Water indices for surface water extraction using geospatial techniques: A brief review
Water is essential for global water cycle. This natural wealth is invaluable. Water is used for
drinking, making food, to make a living, and to maintain good health. The life quality of the …
drinking, making food, to make a living, and to maintain good health. The life quality of the …
Implications of land use/land cover dynamics on urban water quality: Case of Addis Ababa city, Ethiopia
TT Gule, B Lemma, BT Hailu - Heliyon, 2023 - cell.com
Water resources are often at the center of urban development but, as the city expands, the
environmental pressure on its water resources increases. Therefore, in this study, we looked …
environmental pressure on its water resources increases. Therefore, in this study, we looked …
Evaluating landslide susceptibility: the impact of resolution and hybrid integration approaches
The present study investigates the effectiveness of various landslide susceptibility machine
learning (ML) models at multiple spatial resolutions. Using various conditioning factors …
learning (ML) models at multiple spatial resolutions. Using various conditioning factors …
Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm
Assessment of spatiotemporal dynamics of meteorological variables and their forecast is
essential in the context of climate change. Such analysis can help suggest possible …
essential in the context of climate change. Such analysis can help suggest possible …
Urban fragmentation approach for assessing thermal environment dynamics: A case study of semi-arid city from a comfort perspective
Urbanization is a worldwide multidimensional phenomenon that accelerates anthropogenic
activities and modifies Land Use and Land Cover (LULC) by replacing natural landscapes …
activities and modifies Land Use and Land Cover (LULC) by replacing natural landscapes …
Modeling of impact assessment of super cyclone Amphan with machine learning algorithms in Sundarban Biosphere Reserve, India
Coastal areas play an important role in the global food and economic system, but are
vulnerable to a number of coastal hazards such as cyclones and storm surges. The …
vulnerable to a number of coastal hazards such as cyclones and storm surges. The …
Impact of urban growth in Delhi and It's Peri-urban environment on urban heat exposure
Urban heat exposure (UHE) is a widespread micro-climatic event for large metropolitan and
rapidly growing cities globally. Therefore, this study mainly focuses on urbanization impacts …
rapidly growing cities globally. Therefore, this study mainly focuses on urbanization impacts …
Delineating groundwater potential zones using geospatial techniques and fuzzy analytical hierarchy process (FAHP) ensemble in the data-scarce region: evidence …
Groundwater is one of the significant sources of water for domestic, agricultural and
industrial purposes. The demand for water has increased over the years and this has …
industrial purposes. The demand for water has increased over the years and this has …