Decadal Dynamics of Rangeland Cover Using Remote Sensing and Machine Learning Approach

Rangeland Ecology & Management, Год журнала: 2025, Номер 100, С. 1 - 13

Опубликована: Фев. 14, 2025

Язык: Английский

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Geospatial Decision Support System for Urban and Rural Aquifer Resilience: Integrating Remote Sensing-Based Rangeland Analysis With Groundwater Quality Assessment

Rangeland Ecology & Management, Год журнала: 2025, Номер 99, С. 102 - 118

Опубликована: Фев. 18, 2025

Язык: Английский

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

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

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Modelling sustainable land management programme intervention effect on soil loss rate in the watershed region

Soil Use and Management, Год журнала: 2025, Номер 41(1)

Опубликована: Янв. 1, 2025

Abstract This paper modelled the sustainable land management programme intervention effect on soil loss rate in Hoha and Temba watersheds, Western Ethiopia. In area, (SLMP) has been doing many soil–water conservation measurements since 2011. However, an assessment of before after implementation project not yet conducted area because operational issues high costs gathering on‐ground data. Because this, we have developed a Revised Universal Soil Loss Equation (RUSLE) framework fully integrated with geographic information system (GIS) for spatial resolution (30 m) erosion 2010 (before SLMP was implemented area) 2015 2021 (after area). The results showed that mean annual study 13.04, 1.88 2.06 t ha −1 year 9.58, 1.53 1.68 watershed years, 2010, 2021, respectively. line our also indicated increment forest cover reduction bare both watersheds throughout time. terms reduction, significant role through improvement watersheds.

Язык: Английский

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Assessing the Cost of Hospital Building Materials: Effects of Temperature-Precipitation-Flood Dynamics on Landuse and Landcover

Rangeland Ecology & Management, Год журнала: 2024, Номер 99, С. 1 - 17

Опубликована: Дек. 31, 2024

Язык: Английский

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