Spatial–Temporal and Driving Factors of Land Use/Cover Change in Mongolia from 1990 to 2021

Remote Sensing, Год журнала: 2023, Номер 15(7), С. 1813 - 1813

Опубликована: Март 29, 2023

During the past several decades, desertification and land degradation have become more serious in Mongolia. The drivers of use/cover change (LUCC), such as population dynamics climate change, are increasingly important to local sustainability studies. They can only be properly analyzed at small scales that capture socio-economic conditions. Several studies been carried out examine pattern LUCC Mongolia, but they focused on changes single types a scale. Although some them were national scale, data interval is than 10 years. A small-scale year-by-year dataset Mongolia thus needed for comprehensive analyses. We obtained from 1990 2021 using Landsat TM/OLI data. First, we established random forest (RF) model. Then, order improve classification accuracy misclassification cropland, grassland, built barren areas, regression trees model (CART) was introduced post-processing. results show 17.6% surface has changed least once among six categories 2021. While area significantly increased, grassland areas exhibited decreasing trend 32 other do not promising changes. To determine driving factors LUCC, applied an RF feature importance ranking environmental factors, physical socioeconomic accessibility factors. mean annual precipitation (MAP), evapotranspiration (ET), air temperature (MAAT), DEM, GDP, distance railway main determined distribution types. Interestingly, unlike global anti-V-shaped pattern, found N-shaped These characteristics primarily due agricultural policies rapid urbanization. present information great significance policy-makers formulate scientific sustainable development strategy alleviate

Язык: Английский

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Support vector machine-based spatiotemporal land use land cover change analysis in a complex urban and rural landscape of Akaki river catchment, a Suburb of Addis Ababa, Ethiopia

Heliyon, Год журнала: 2023, Номер 9(11), С. e22510 - e22510

Опубликована: Ноя. 1, 2023

Intense level of land use cover (LULC) changes has been observed in Sub-Saharan Africa, particularly the central highlands Ethiopia, due to rapid population growth and urbanization process. However, quantifying identifying rural-urban landscape are challenging. In this study, LULC during years 1984, 1990, 2000, 2010, 2021 have analyzed using satellite imageries Support Vector Machine (SVM) algorithms a heterogenous rural urban Akaki river catchment, Ethiopia. The change drivers were evaluated by applying thematic analysis combined with key informants' interviews. Seven LULCs that include: Built-up area (BTA), Cropland (CL), Grassland (GL), Waterbody (WB), Plantation Forest (PF), Woodland (WL), Bareland (BL) detected. result shows 51.3 % catchment transformed into other uses. BTA increased 24.7 while GL WL reduced 18.1 5.9 respectively. Large areas CL (61 %) (22 changed an landscape. spatial non-spatial revealed major spatiotemporal between 1984 2005 policy legislation Eucalyptus tree plantation campaign. Whereas, low-cost housing programs, informal settlers, market opportunity, real estate development main for 2006 2021. study also found informant observation SVM image classification results aligned therefore, we SVM-based classifications suited such complex pattern analysis. outcome research can contribute improving policy, its management, public understanding dynamics implications.

Язык: Английский

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Identification Of Plastic Film Mulched Farmland in the Core Area of the Beijing-Tianjin Sand Source Region Using Multi-Temporal Remote Sensing Features

Опубликована: Янв. 1, 2025

Язык: Английский

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Analysis of Temporal and Spatial Changes in Ecological Environment Quality on Changxing Island Using an Optimized Remote Sensing Ecological Index

Sensors, Год журнала: 2025, Номер 25(6), С. 1791 - 1791

Опубликована: Март 13, 2025

In light of global climate change and accelerated urbanization, preserving restoring island ecosystems has become critically important. This study focuses on Changxing Island in Dalian, China, evaluating the quality its ecological environment. The research aims to quantify changes since 2000, with an emphasis land use transformations, coastline evolution, driving factors behind these changes. Using Google Earth Engine (GEE) platform remote sensing technology, index (IRSEI) was developed. development IRSEI grounded several key parameters, including normalized difference vegetation (NDVI), wetness (WET), surface temperature (LST), multiband drought stress (M-NDBSI), intensity (LUI). results show that, 2002, types have undergone significant changes, a notable decrease arable increase built-up areas, reflecting ongoing urbanization process. With respect total length steadily increased from 2002 2022, average annual growth rate 2.15 km. driven mainly by reclamation infrastructure construction. analysis further revealed clear deterioration environment during period. proportion excellent area decreased 39.3% 8.89% whereas areas classified as poor very 56.23 km2 129.84 km2, both which set new historical records. These findings suggest intensify, ecosystem is at risk degradation. optimized effectively captured island, improved long-term stability index, adequately met requirements for large-scale monitoring.

Язык: Английский

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Identification of Plastic Film Mulched Farmland in the Core Area of the Beijing-Tianjin Sand Source Region Using Multi-Temporal Remote Sensing Features

Remote Sensing Applications Society and Environment, Год журнала: 2025, Номер unknown, С. 101600 - 101600

Опубликована: Май 1, 2025

Язык: Английский

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Study of Ecosystem Degradation Dynamics in the Peruvian Highlands: Landsat Time-Series Trend Analysis (1985–2022) with ARVI for Different Vegetation Cover Types

Sustainability, Год журнала: 2023, Номер 15(21), С. 15472 - 15472

Опубликована: Окт. 31, 2023

The high-Andean vegetation ecosystems of the Bombón Plateau in Peru face increasing degradation due to aggressive anthropogenic land use and climate change scenario. lack historical evolution information makes implementing adaptive monitoring plans these vulnerable difficult. Remote sensor technology emerges as a fundamental resource fill this gap. objective article was analyze over almost four decades (1985–2022), using high spatiotemporal resolution data from Landsat 5, 7, 8 sensors. methodology considers: (i) atmosphere resistant index (ARVI), (ii) implementation non-parametric Mann–Kendall trend analysis per pixel, (iii) affected covers were determined by supervised classification. This article’s results show that approximately 13.4% total cover degraded. According types, bulrush degraded 21%, tall grass 18%, cattails 16%, wetlands 14%, puna 13%. Spearman correlation (p < 0.01) are replaced factors linked with human activities. Finally, concludes part is related activities such agriculture, overgrazing, urbanization, mining. However, possibility environmental have influenced events recognized.

Язык: Английский

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Global advancements in the management and treatment of acid mine drainage

Applied Water Science, Год журнала: 2024, Номер 14(9)

Опубликована: Авг. 17, 2024

Acid mine drainage (AMD) is a mining-associated environmental problem that mainly pollutes water resources worldwide, making it imperative to find sustainable remediation solutions. To effective treatment solutions for AMD, will be beneficial understand how this area of research has evolved over the years. Thus, work provides bibliometric analysis and narrative review previous articles have focused on AMD management past 47 years highlights associated challenges overcome them. Research addressing were retrieved from Scopus database, using specific search criteria. The Analyze Tool VOSviewer used analyze publications provide information publication distribution, countries publication, authorship, keywords, field study, author affiliations, while an overview technologies these top ten most published are developed except South Africa (ranking number 4). This revealed several approaches been management. It was observed methods not drastically changed Instead, earlier techniques being improved develop new more ones. recent approach involves valorization recovery materials in economically viable amounts. treatment; however, comes with can through area.

Язык: Английский

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Impact of Huanglongbing on Citrus Orchards: A Spatiotemporal Study in Xunwu County, Jiangxi Province

Agriculture, Год журнала: 2023, Номер 14(1), С. 55 - 55

Опубликована: Дек. 27, 2023

Due to human activities and changes in land use, the spatiotemporal pattern of citrus has undergone significant after outbreak Huanglongbing (HLB). We selected time-series Sentinel-2 images delineate orchard areas following onset HLB. This was conducted extract orchards Xunwu County between 2017 2022. The spatial temporal patterns their influencing factors were investigated by analysis. Results show (1) a notable decline total area 216.70 km2, primarily witnessed without insect-proof screens (IPS), shifting towards cropland, bush, IPS areas. Contrastingly, with exhibited modest increase from 7.82 km2 111.39 predominantly converting lacking IPS, bare land. (2) Spatial distribution revealing “cold south hot north” trend. Orchards are concentrated central northern regions, while those clustered north, recent shift northeast. (3) Landscape analysis indicating trend fragmentation orchards, gradual dispersion showcased enhanced concentration aggregation. (4) occupy regions characterized an elevation ranging 300 m 400 m, southeast, southwest, southern directions. These exhibit slopes averaging 10° 15°, surface temperatures 18 °C 26 °C. Additionally, these tend be situated proximity impervious surfaces roads.

Язык: Английский

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Relationship between Landscape Pattern and Human Disturbance in Serbia from 2000 to 2018

WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, Год журнала: 2024, Номер 20, С. 158 - 172

Опубликована: Май 16, 2024

This study intends to verify how the alteration of landscape configuration, represented by different metrics configuration and diversity, is related intensity human disturbance. The objectives are: (1) quantify change in land use/land cover (LULC) patterns degree disturbance Serbia between 2000 2018, (2) relationship LULC impact resulting from under levels intensity, understand changing trends pattern can serve as indicators estimate changes actions. Hemeroby Index (HI) was calculated impacts on ecosystems caused Based analysis variation value corresponding HI for period level naturalness increased only 5% territory Serbia, with this being verified mainly SE Serbia. quantified using a set metrics. We used Spearman method identify existing statistical correlations geometric parameters HIs values. At level, Mean Shape Index, Edge Density, Patch Fractal Dimension, Shannon Diversity show strong negative correlation HI. suggests that landscapes greater structural complexity are good low hemeroby. class Density Size correlate significantly artificial surfaces, agricultural areas, forests, semi-natural areas.

Язык: Английский

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Time Series Analysis of Surface Water Areas Using Sentinel Imagery on Google Earth Engine: A Spatial Approach

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 351 - 363

Опубликована: Янв. 1, 2024

Язык: Английский

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