Assessing and projecting land use land cover changes using machine learning and artificial neural network models in Guder watershed, Ethiopia DOI Creative Commons
Sintayehu Fetene Demessie, Yihun T. Dile, Bobe Bedadi

и другие.

Environmental Challenges, Год журнала: 2024, Номер unknown, С. 101074 - 101074

Опубликована: Дек. 1, 2024

Язык: Английский

Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models DOI Creative Commons

Ai-Guo Zhang,

Aqil Tariq, Abdul Quddoos

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 27, 2025

Urban expansion and changes in land use/land cover (LULC) have intensified recent decades due to human activity, influencing ecological developmental landscapes. This study investigated historical projected LULC urban growth patterns the districts of Multan Sargodha, Pakistan, using Landsat satellite imagery, cloud computing, predictive modelling from 1990 2030. The analysis images was grouped into four time periods (1990–2000, 2000–2010, 2010–2020, 2020–2030). Google Earth Engine cloud-based platform facilitated classification 5 ETM (1990, 2000, 2010) 8 OLI (2020) Random Forest model. A simulation model integrating Cellular Automata an Artificial Neural Network Multilayer Perceptron MOLUSCE plugin QGIS employed forecast resulting maps showed consistently high accuracy levels exceeding 92% for both across all periods. revealed that Multan's built-up area increased 240.56 km2 (6.58%) 440.30 (12.04%) 2020, while Sargodha experienced more dramatic 730.91 (12.69%) 1,029.07 (17.83%). Vegetation remained dominant but significant variations, particularly peri-urban areas. By 2030, is stabilize at 433.22 km2, primarily expanding southeastern direction. expected reach 1,404.97 showing balanced multi-directional toward northeast north. presents effective analytical method processing, GIS, change modeling evaluate spatiotemporal changes. approach successfully identified main transformations trends areas highlighting potential urbanization zones where opportunities exist developing planned managed settlements.

Язык: Английский

Процитировано

0
Modeling and Forecasting Monthly Humidity in South Asia: A SARIMA Approach DOI
Somaresh Kumar Mondal,

Md Shakil Ahmmad,

Salman Khan

и другие.

Earth Systems and Environment, Год журнала: 2025, Номер unknown

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

0
Tourism destination and route planning techniques based on interest distribution matrix and revenue iteration DOI
Xiaopei Zhang

GeoJournal, Год журнала: 2025, Номер 90(2)

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0
Impacts of tourism on LULC and LST dynamics in district Buner and Shangla, Pakistan DOI Creative Commons
Waheed Ullah, Khalid Ahmad, Adnan Ahmad Tahir

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 18, 2025

Tourism activities are changing the global landscape pattern. This study attempted to estimate changes in Land Use Cover (LULC) and Surface Temperature (LST) District Buner Shangla, Khyber Pakhtunkhwa (KPK), Pakistan, specifically its tourist spots. Using remote sensing data from satellites (1990–2020) future projections (2035–2050), we applied Artificial Neural Network (ANN) Cellular Automata Markov (CA-Markov) models examine past LULC LST dynamics across two districts including four major spots (Shangla Top as spot one (TS1), Bar Puran (TS2), Shahida Sar (TS3), Daggar (TS4). The classification for whole area indicates that built-up agricultural areas increased with a net change of +0.8% +3.2% Shangla districts, respectively. highest mean was found areas. simulation results indicate an expansion 4.5% 5.8% total areas, above 31 °C will cover 76% 88% 2035 2050, conversion is driven by tourism activities, causing urban heat island effects (UHIs), environmental degradation. analysis shows at while (28 °C) (2035–2050) show TS4 would have (5.67%), (31 65.23 82.20%. These findings provide essential understandings developing long-term policies meant moderate impact region.

Язык: Английский

Процитировано

0
Prototypes for enhanced urban heat monitoring leveraging Copernicus services and satellite data DOI Creative Commons
Zina Mitraka, Giannis Lantzanakis,

Emmanouil Panagiotakis

и другие.

Deleted Journal, Год журнала: 2025, Номер 2(1)

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0
Evaluation of rural economic integration of ecological resources based on multivariate Logit ordered model DOI
Yongzhao Diao

GeoJournal, Год журнала: 2025, Номер 90(2)

Опубликована: Март 21, 2025

Язык: Английский

Процитировано

0
Geospatial assessment of groundwater vulnerability to pollution using the DRASTIC and AHP model in flood-affected area, Nowshera, Pakistan DOI
Muhammad Tufail, Muhammad Nasir, Aqil Tariq

и другие.

Solid Earth Sciences, Год журнала: 2025, Номер 10(2), С. 100239 - 100239

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0
Design of landscape morphology assisted quantification model based on improved FA-SOM DOI

Hui Chi

GeoJournal, Год журнала: 2025, Номер 90(2)

Опубликована: Апрель 9, 2025

Язык: Английский

Процитировано

0
A review on artificial intelligence thermal fluids and the integration of energy conservation with blockchain technology DOI Creative Commons
Abdullah Ayub Khan, Asif Ali Laghari, A. K. M. Sarwar Inam

и другие.

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0
The impact of green finance on export trade under sustainable development strategy DOI

Guangming Ji

GeoJournal, Год журнала: 2025, Номер 90(2)

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0