Impact assessment of planned and unplanned urbanization on land surface temperature in Afghanistan using machine learning algorithms: a path toward sustainability

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 24, 2025

The increasing trend in land surface temperature (LST) and the formation of urban heat islands (UHIs) has emerged as a persistent challenge for planners decision-makers. current research was carried out to study use cover (LULC) changes associated LST patterns planned city (Kabul) unplanned (Jalalabad), Afghanistan, using Support Vector Machine (SVM) Landsat data from 1998 2018. Future LULC were predicted 2028 2038 Cellular Automata-Markov (CA-Markov) Artificial Neural Network (ANN) models. results clearly emphasize different between Kabul Jalalabad. Between 2018, built-up areas Jalalabad increased by 16% 30%, respectively, while bare soil vegetation decreased 15% 1% 4% 30% showed highest seasonal annual LST, followed vegetation. maximum occurred during summer both cities predictions that (48% 55% 2018) will increase approximately 59% 68% 79% Jalalabad, respectively. Similarly, simulations percentage with higher (> 35°C) would (0% 5% 22% 43% 2038, Kabul's shows lower than Jalalabad's city, primarily due urbanization greater center. Urban should limit development reduce potential impacts high temperatures.

Language: Английский

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Towards sustainability: The spatiotemporal patterns and influence mechanism of urban sprawl intensity in the Yangtze River Delta urban agglomeration

Habitat International, Journal Year: 2024, Volume and Issue: 148, P. 103089 - 103089

Published: April 25, 2024

Language: Английский

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Examining the impact of land use and land cover changes on land surface temperature in Herat city using machine learning algorithms

GeoJournal, Journal Year: 2024, Volume and Issue: 89(5)

Published: Sept. 28, 2024

Language: Английский

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Enhancing Sustainable Urban Planning through GIS and Multiple-Criteria Decision Analysis: A Case Study of Green Space Infrastructure in Taif Province, Saudi Arabia

Water, Journal Year: 2023, Volume and Issue: 15(17), P. 3031 - 3031

Published: Aug. 23, 2023

Ecotourism in Saudi Arabia (KSA) is gaining significant attention due to the country’s diverse natural landscapes, rich biodiversity, and efforts preserve display its environmental treasures. This study presents a comprehensive assessment of urban green space (UGS) suitability Taif region using geographic information system (GIS) combined with multiple-criteria decision-analysis-based analytic hierarchy process (AHP). The integration various morphologic, topographic, climatic, land use/land change (LULC) maps provided robust framework for evaluating UGSs. In this study, ten criteria were used elaborate on UGS suitability. results indicate that distance water, road, rainfall, LULC most influential determining Distance road emerged as criterion, emphasizing importance accessibility visibility attracting public spaces. demonstrated fair development across 56.4% total area. However, large areas barren central northeastern parts rendered unsuitable development, while southwestern part showed higher percentages good excellent highlights considering awareness aspects planning, it serves visual reminder value nature settings. obtained by research may help managers decision makers future planning GI region.

Language: Английский

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Assessing urban forest decline and predicting future expansion: a spatial analysis and modeling approach in João Pessoa City, Brazil

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 10(3), P. 3923 - 3940

Published: April 7, 2024

Language: Английский

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Improving sustainable land use level with the aim of enhancing urban ecosystem service value: a case study of Xi’an in China

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 11, 2025

Language: Английский

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Fatala River Basin (Republic of Guinea, Africa): Analysis of Current State, Air Pollution, and Anthropogenic Impact Using Geoinformatics Methods and Remote Sensing Data

Sustainability, Journal Year: 2023, Volume and Issue: 15(22), P. 15798 - 15798

Published: Nov. 9, 2023

This study conducts an in-depth analysis of anthropogenic transformation and air pollution within the confines Fatala River Basin situated in Republic Guinea, Africa. The foundation this investigation relies upon interdisciplinary geoinformatics methodologies data acquired through remote sensing, specifically drawing from Sentinel-5P Sentinel-2 satellite datasets. primary objectives encompass scrutinizing extant ecological conditions characterizing assessing influences its geographic expanse. utilization sensing data, as facilitated by satellite, emerges a potent instrument for meticulously monitoring environmental transformations. A comprehensive designated area, conducted methodologies, is employed to ascertain concentrations various atmospheric constituents, including nitrogen dioxide, sulfur formaldehyde, methane, ozone, carbon monoxide. findings gleaned inquiry reveal that, notwithstanding dynamic growth extractive industry centered around world’s preeminent bauxite province, Fouta Djallon–Mandingo, exerts comparatively minor influence on quality. Statistical assessments, correlation analysis, between computed parameters delineating alterations Basin, index elucidate lack significant nexus. It has been determined that notably influenced topographical features transport contaminants adjacent river basins. Consequently, article makes substantial contribution our comprehension contemporary state Guinea. also holds importance elucidating challenges specific researched region.

Language: Английский

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Degradation Assessment of the M’zab Valley Oases in Algeria

Papers in Applied Geography, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: Nov. 10, 2024

This study investigates the degradation of Wadi M'zab oasis in Ghardaia, Algeria, an ecologically sensitive area. Using remote sensing data and geographic information systems (GIS), was assessed through four key indicators: vegetation cover change, soil erosion, salinity, agricultural productivity. Moreover, to identify human factors contributing degradation, a field survey conducted. The results indicated significant oasis, marked by substantial increase erosion areas 220%, 52% affected extensive urban expansion at expense palm groves, decline causes are attributed natural such as climate change water quality, well like expansion, land-use changes, practices, confirmed results. serves important tool help mitigate oasis. It recommends encouraging investment sector, preserving oasis's ecosystem, adopting innovative practices for management using crops that tolerate harsh conditions. also calls coordinated efforts between government agencies, farmers, local community ensure implementation effective sustainable strategies future

Language: Английский

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