Land Use/Land Cover Change and Their Driving Factors in the Yellow River Basin of Shandong Province Based on Google Earth Engine from 2000 to 2020

ISPRS International Journal of Geo-Information, Journal Year: 2022, Volume and Issue: 11(3), P. 163 - 163

Published: Feb. 23, 2022

As the convenient outlet to Bo Sea and major region of economic development in Yellow River Basin, Shandong Province China has undergone large changes land use/land cover (LULC) past two decades with rapid urbanization population growth. The analysis LULC change patterns its driving factors section Basin can provide a scientific basis for rational planning ecological protection resources Basin. In this manuscript, we analyzed spatial pattern temporal 2000, 2010, 2020 by using random forest classification algorithm Google Earth Engine platform multi-temporal Landsat TM/OLI data. were also quantified factor detector interaction geodetector. Results show that decades, types study area are mainly farmland construction land, among which proportion decreased increased from 19.4% 29.7%. Based on results detector, it be concluded elevation, slope, soil type key affecting area. between elevation slope type, temperature precipitation strong explanatory power variation research data support environmental protection, sustainable, high-quality help local governments take corresponding measures achieve coordinated sustainable socioeconomic development.

Language: Английский

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Dynamic changes of vegetation coverage in China-Myanmar economic corridor over the past 20 years

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2021, Volume and Issue: 102, P. 102378 - 102378

Published: June 8, 2021

The China-Myanmar Economic Corridor (CMEC) is a flagship project of the "Belt and Road" Initiative (BRI), which have made major breakthrough from conceptual planning to actual construction in 2020, subsequent activities will definite impact on local vegetation. To provide scientific support for vegetation conservation sustainable development CMEC, statistical methods such as Morlet wavelet analysis, Mann-Kendall mutation test, Sen's slope estimator, trend coefficient variation were adopted analyze spatio-temporal changes coverage; Hurst analysis was further predicted likely future trends. results suggested that: (1) CMEC experienced an overall increasing Fractional Vegetation Cover (FVC) at rate 0.21%/yr 2000 2019; 2005 year when FVC changed slow increase significant increase. mainly controlled by 12-month oscillation period. seasonal average slightly different, ranked descending order, winter (0.29%) > autumn (0.17%) summer (0.14%) = spring (0.14%). exceeded those summer, particularly after 2018. (2) area with five times decreasing (~49.40% VS ~ 9.97%). former clustered Dehong Dai Jingpo, China, central southern part sub-region Myanmar; whereas latter primarily distributed main urban zones Mangshi, Ruili, Mandalay, Yangon. Above areas where significantly affected human afforestation, agriculture construction, fluctuation strong short term. (3) Future indicated that 88.08% show stable positive trend, agglomerated forest farmland zones. However, it expected coverage several unused land formed degradation experience decrease, these regions should be focus during CMEC.

Language: Английский

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Spatiotemporal evaluation of alpine pastoral ecosystem health by using the Basic-Pressure-State-Response Framework: A case study of the Gannan region, northwest China

Ecological Indicators, Journal Year: 2021, Volume and Issue: 129, P. 108000 - 108000

Published: July 23, 2021

Ecosystem health is the goal of eco-environmental management, and its assessment necessary for improving regional ecological environments promoting sustainable development. However, previous studies on ecosystem have mainly concentrated rapidly developing urbanized areas, with very few having been conducted alpine pastoral regions. Taking Gannan region China as study area, based remote-sensing GIS technologies, we used entropy methods to calculate relative weights several indicators quantify uncertainty in data processing so that accuracy results evaluation could be improved. In this study, a new basic-pressure-state-response framework proposed, pressure-state-response. It was found levels had spatial distribution pattern decreased from southwest northeast, 2000 2015. Notably, areas well weak showed decreasing trend, more regions tending toward ordinary levels. Among all assessing indicators, average value pressure indicator greatest, basic being lowest. Our guide eco-environment managers tasked taking effective measures improve status

Language: Английский

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Impacts of land use and land cover change on ecosystem service values in the Afroalpine area of Guna Mountain, Northwest Ethiopia

Heliyon, Journal Year: 2022, Volume and Issue: 8(12), P. e12246 - e12246

Published: Dec. 1, 2022

Ecosystem service changes caused by land use and cover change (LULCC) is an important indictor early warning of ecological changes. However, few attempts have been made to evaluate the effects LULCC on ecosystem services in Afroalpine highlands Northwestern Ethiopia. Therefore, this study aimed analyze impacts values afro-alpine area Guna Mountain, Image classification was carried out using Landsat imageries 1995, 2008, 2020 following Random Forest algorithm with Google Earth Engine(GEE) based filtered sample points. A modified benefit transfer method used value (ESV) response LULCC. The results revealed that most notable feature Mountain expansion cropland built-up areas at expense grassland, forest, shrubland. overall ESV site estimated USD 46.97 × 10

Language: Английский

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Exploring the Relationship Between Land Use Land Cover and Land Surface Temperature: a Case Study in Bangladesh and the Policy Implications for the Global South

Journal of Geovisualization and Spatial Analysis, Journal Year: 2023, Volume and Issue: 7(2)

Published: Sept. 1, 2023

Language: Английский

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Quantitative assessment of Land use/land cover changes in a developing region using machine learning algorithms: A case study in the Kurdistan Region, Iraq

Heliyon, Journal Year: 2023, Volume and Issue: 9(11), P. e21253 - e21253

Published: Oct. 24, 2023

The identification of land use/land cover (LULC) changes is important for monitoring, evaluating, and preserving natural resources. In the Kurdistan region, utilization remotely sensed data to assess effectiveness machine learning algorithms (MLAs) LULC classification change detection analysis has been limited. This study monitors analyzes in area from 1991 2021 using a quantitative approach with multi-temporal Landsat imagery. Five MLAs were applied: Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), K-Nearest Neighbor (KNN), Extreme Gradient Boosting (XGBoost). results showed that RF algorithm produced most accurate maps three-decade period, accompanied by high kappa coefficient (0.93-0.97) compared SVM (0.91-0.95), ANN (0.91-0.96), KNN (0.92-0.96), XGBoost (0.92-0.95) algorithms. Consequently, classifier was implemented categorize all obtainable satellite images. Socioeconomic throughout these transition periods revealed results. Rangeland barren areas decreased 11.33 % (-402.03 km2) 6.68 (-236.8 km2), respectively. transmission increases 13.54 (480.18 3.43 (151.74 0.71 (25.22 occurred agricultural land, forest, built-up areas, outcomes this contribute significantly monitoring developing regions, guiding stakeholders identify vulnerable better use planning sustainable environmental protection.

Language: Английский

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Ecological health assessment of Tibetan alpine grasslands in Gannan using remote sensed ecological indicators

Geo-spatial Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: March 21, 2024

Ecosystem health assessments are crucial to protect the ecological environment and ensure sustainable functions of alpine ecoregions. At present, few studies evaluating ecosystem Gannan grassland, China, an ecologically fragile area, based on a remote sensing theoretical framework exist. As such, this study assessed grassland Remote Sensing-based Ecological Index (RSEI) provided comparative analysis RSEI Gross Primary Productivity (GPP), extending their spatiotemporal patterns influencing factors. The results suggested that GPP showed strong comparability in sense, with better reflecting changes than GPP. Overall, was good (RSEI 0.61–0.76) slow, fluctuating upward trend seen from 2000 = 0.66) 2020 0.72). Notably, high south low north region. Over past 21 years, 43.92% healthy southwest has been degrading, while poor 39.04% grasslands southeast northeast improved. model test show could reasonably evaluate grassland. Our assessment provide important scientific data information monitoring targeted restoration efforts

Language: Английский

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Impacts of land use change on surface infiltration capacity and urban flood risk in a representative karst mountain city over the last two decades

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 454, P. 142196 - 142196

Published: April 17, 2024

Language: Английский

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Interaction of population density and slope will exacerbate spatiotemporal changes in land use and landscape patterns in mountain city

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

Published: Jan. 25, 2025

The complex topography of the mountain cities leads to uneven distribution land resources. Currently, available studies mainly focuse on use and landscape patterns (LU LP) in plains or plateaus. Thus, it is necessary carry out an analysis drivers changes LU LP cities. As typical city China, Chongqing has changed significantly recent years. Here, we identified from 2000 2020, explored their using GeoDetector Yubei District, Chongqing. following are outcomes: (1) From construction land, wetland cropland had greatest change area, with 876.03%, -70.72% -24.53%, respectively. area transferred was larger than into it, while still largest among all types. (2) At level,construction at a low level. Grassland degree fragmentation, but showed decreasing trend. landscape's complexity resulted conversion various uses. (3) results indicated that interaction population density slope primary changing factor. study provided rational basis for development plans

Language: Английский

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Soil drought thresholds of alpine grassland deceased rapidly under the influence of extreme low temperature in northeastern Qinghai-Tibet Plateau

Ecological Processes, Journal Year: 2025, Volume and Issue: 14(1)

Published: Feb. 24, 2025

Abstract Background Droughts likely lead to the decrease of vegetation coverage and plant productivity. Due climate change, more extreme climatic events, including soil droughts temperatures, may occur both independently simultaneously. Therefore, it is important understand thresholds drought in order avoid various undesired transitions alpine grassland. Methods Soil were identified based on change moisture, decline events by abnormal normalized difference index (NDVI). Three two curves responses illustrated tipping points that reflected rapid loss ecosystem resistance (T p1 ), complete p2 ) amplified magnitude NDVI m ). The influences legacy effects temperatures also considered. Results Alpine grasslands northeastern Qinghai-Tibet Plateau had mean T , 1.25, 1.98 1.93, respectively, indicating low high vulnerability. was for most study area, varied with elevation types. Besides occurrence coupled extremely decreased 36% nearly all 30% . Different grassland types showed varying droughts, sparse having lowest wetland highest. However, according did not show obvious differences. Conclusions sensitive intensified drought. identification advances understanding how responds helps restoration when faced benefits adaptation.

Language: Английский

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