Ecological Security Patterns at Different Spatial Scales on the Loess Plateau

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(4), P. 1011 - 1011

Published: Feb. 12, 2023

The study of ecological security patterns (ESPs) is great significance for improving the value ecosystem services and promoting both protection high-quality socio-economic development. As an important part “Loss Plateau-Sichuan-Yunnan Ecological Barrier” “Northern Sand Control Belt” in national strategic pattern, there urgent need to ESPs on Loess Plateau. Based a remote sensing dataset, this identified at different spatial scales, analyzed similarities differences sources, corridors, key points, so as better inform development implantation macro micro strategies. When taken whole unit, we 58 sources (areas with higher levels services) Plateau (total area 57,948.48 km2), along 134 corridors length 14,094.32 km), 1325 pinch points 315.01 2406 barrier 382.50 km2). splits into ecoregions, 108 67,892.51 226 13,403.49 2801 851.07 km2, 3657 800.70 Human activities land use types are main factors influencing number distribution points. constructed scales broadly similar, but significant among details were identified. such, when formulating restoration strategies, scale should be considered. Moreover, specific programs determined based ESP characteristics maximize biodiversity integrity from multiple perspectives directions.

Language: Английский

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BIM–GIS Integrated Utilization in Urban Disaster Management: The Contributions, Challenges, and Future Directions

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1331 - 1331

Published: Feb. 27, 2023

In the 21st Century, disasters have severe negative impacts on cities worldwide. Given significant casualties and property damage caused by disasters, it is necessary for disaster management organizations public to enhance urban management. As an effective method, BIM (Building Information Modeling)–GIS (Geographic System) integration can significantly improve Despite significance of BIM–GIS integration, there rarely adoption in management, which hinders development quality efficiency To reduce impact this study developed perform a systematic review utilization Through review, capabilities prevention mitigation, response, post-disaster recovery are reviewed analyzed. Moreover, data acquisition approaches, interoperability, analysis methods, future directions integrated process also discussed study, managers effectively familiarize themselves with utilize thereby improving survival rate victims For GIS software developers, support them methods trends thus optimize GIS.

Language: Английский

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Risk Assessment of Geological Landslide Hazards Using D-InSAR and Remote Sensing

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(2), P. 345 - 345

Published: Jan. 15, 2024

Landslide geological disasters, occurring globally, often result in significant loss of life and extensive economic damage. In recent years, the severity these disasters has increased, likely due to frequent occurrence extreme rainstorms associated with global warming. This escalating trend emphasizes urgent need for a simple efficient method identify hidden dangers related landslide disasters. Areas experiencing seasonal heavy rainfall are particularly susceptible such posing serious threat lives property local residents. response challenging characteristics hazards, as their strong concealment high vegetation coverage Liupan Mountain area Loess Plateau, this study focuses on integrated remote sensing identification research Longde County. The methodology combines differential interferometric synthetic aperture radar technology (D-InSAR) high-resolution optical sensing. Surface deformation information County was obtained by analyzing 85 Sentinel-1A data from 2019 mid-2020 using Stacking-InSAR, conjunction image GF-2 2019. Furthermore, conducted field verification hazards throughout entire county. involved interpreting shape marks identifying disaster-bearing bodies, expertly environmental factors contributing hazards. As result, 47 suspected 21 investigation points were identified, 16 verified an accuracy 76.19%. outcome directly confirms applicability area. results presented paper provide effective scientific theoretical basis monitoring treatment future stages. They also play pivotal role prevention

Language: Английский

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Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(21), P. 5505 - 5505

Published: Nov. 1, 2022

As a result of urbanization and climate change, urban areas are increasingly vulnerable to flooding, which can have devastating effects on the loss life property. Remote sensing technology provide practical help for flood disaster management. This research presents review flood-related remote identify trends gaps, reveal new opportunities. Based Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA), systematic literature search resulted in 347 documents classified as geography, management application, data utilization. The main results include 1. most studies located high-income countries territories inland areas; 2. observing environment was more popular than building; 3. often applied activities were vulnerability assessment risk modeling (mitigation) rapid damage (response); 4. DEM is simulate floods software inputs. We suggest that future directions coastal study non-high-income countries/territories populations; understudied activities, need observe buildings standardization will facilitate integration with international standard methods assessing floods.

Language: Английский

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Quantitative Model Construction for Sustainable Security Patterns in Social–Ecological Links Using Remote Sensing and Machine Learning

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(15), P. 3837 - 3837

Published: Aug. 1, 2023

With the global issues of extreme climate and urbanization, ecological security patterns (ESPs) in Qinling Mountains are facing prominent challenges. As a crucial barrier China, understanding characteristics ESPs is vital for achieving sustainable development. This study focuses on Yangxian employs methods such as machine learning (ML), remote sensing (RS), geographic information systems (GISs), analytic hierarchy process principal component analysis (AHP–PCA), minimum cumulative resistance (MCR) model to construct an network based multi-factor sensitivity (ES) conduct quantitative spatial analysis. The results demonstrate that AHP–PCA method ML overcomes limitations single-weighting method. were established, consisting 21 main secondary sources with area 592.81 km2 (18.55%), 41 corridors length 738.85 km, 33 nodes. A coupling relationship among three dimensions was observed: comprehensive sensitivity, ESPs, administrative districts (ADs). Huangjinxia Town (1.43 C5) Huayang (7.28 C4) likely have significant areas vulnerability, while Machang Maoping important ESPs. ADs focus protection management. second corridor indicated high-quality construction, necessitating implementation strict policies area. innovation lies utilization methods, RS technologies, pattern planning propose new perspective space. provides foundation urban rural will help facilitate development region.

Language: Английский

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The Influence of Visual Landscapes on Road Traffic Safety: An Assessment Using Remote Sensing and Deep Learning

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(18), P. 4437 - 4437

Published: Sept. 9, 2023

Rapid global economic development, population growth, and increased motorization have resulted in significant issues urban traffic safety. This study explores the intrinsic connections between road environments driving safety by integrating multiple visual landscape elements. High-resolution remote sensing street-view images were used as primary data sources to obtain features of an expressway. Deep learning semantic segmentation was employed calculate features, a trend surface fitting model driver fatigue established based on experimental from 30 drivers who completed tasks random order. There spatial variations expressway city center periphery. Heart rate values fluctuated within range 0.2% with every 10% change speed complexity. Specifically, complexity changed 5.28 8.30, heart 91 96. suggests that higher degree richness effectively mitigates increases exerts positive impact provides reference for quantitative assessment research combines using sources. It may guide implementation measures during planning construction.

Language: Английский

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Combining APHRODITE Rain Gauges-Based Precipitation with Downscaled-TRMM Data to Translate High-Resolution Precipitation Estimates in the Indus Basin

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(2), P. 318 - 318

Published: Jan. 5, 2023

Understanding the pixel-scale hydrology and spatiotemporal distribution of regional precipitation requires high precision high-resolution data. Satellite-based products have coarse spatial resolutions (~10 km–75 km), rendering them incapable translating variability induced by dynamic interactions between climatic forcing, ground cover, altitude variations. This study investigates performance a downscaled-calibration procedure to generate fine-scale (1 km × 1 km) gridded estimates from coarser resolution TRMM data (~25 in Indus Basin. The mixed geographically weighted regression (MGWR) random forest (RF) models were utilized spatially downscale using explanatory variables. Downscaled combined with APHRODITE rain gauge-based calibration (geographical ratio analysis (GRA)). Results indicated that MGWR model performed better on fit accuracy than RF predict precipitation. Annual after downscaling not only translate heterogeneity but also improved agreement gauge observations reduction RMSE bias ~88 mm/year 27%, respectively. Significant improvement was observed monthly (and daily) higher ~30 mm mm/month (0.92 mm/day) 10.57% (3.93%), respectively, procedures. In general, values procedures noted across downstream low elevation zones (e.g., zone correspond changes 0 500 m). 3 (>1000 m) might be associated fact satellite at high-altitude regions glacier coverage are most likely subjected uncertainties. grided generated MGWR-based proposed framework can facilitate characterization distributed method may strong adoptability other catchments world, varying climates topography conditions.

Language: Английский

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Improved Vegetation Ecological Quality of the Three-North Shelterbelt Project Region of China during 2000–2020 as Evidenced from Multiple Remotely Sensed Indicators

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(22), P. 5708 - 5708

Published: Nov. 11, 2022

Evaluation of the long-term effect ecosystem recovery projects is critical for future ecological management and sustainable development. The Three-North Shelterbelt (TNS) a large-scale afforestation project in crucial region China. Numerous researchers have evaluated vegetation quality (VEQ) TNS using single indicator. However, ecosystems are complex need to be through various indicators. We constructed index (VEQI) by downscaling net primary productivity, leaf area index, fractional cover, land surface temperature, moisture, water use efficiency vegetation. spatiotemporal characteristics main contributing factors VEQ from 2000 2020 were investigated SEN+Mann−Kendall, Hurst exponent, geographical detector, residual trend analysis testing. results suggest that showed an improving over 21-year study period. areas with significant improvements concentrated central eastern parts TNS. Significant deterioration occurred only sporadically urban areas. Characteristics unsustainable trends could detected across Precipitation, type, soil elevation, solar radiation exhibited greatest impact on throughout Human activities (e.g., government investments) dominant had relative contribution 65.24% change. Our provide clues assessing environmental development other regions.

Language: Английский

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Evaluation and Prediction of Water Yield Services in Shaanxi Province, China

Forests, Journal Year: 2023, Volume and Issue: 14(2), P. 229 - 229

Published: Jan. 26, 2023

The water yield module of the InVEST model was used to estimate and its temporal spatial variation characteristics in Shaanxi Province from 2000 2020. Moreover, influences future precipitation changes land use on were discussed 2030s 2050s. results showed that: (1) 2020, multi-year average yields northern Shaanxi, Guanzhong southern 33.23 × 108 m3, 73.75 280.63 respectively; (2) pattern depth displayed a characteristic gradually increasing north south; (3) under change scenario, different emission scenarios wa s order RCP (Representative Concentration Pathways) 8.5 > RCP2.6 RCP4.5; as whole three regions 2050s decline. research can provide scientific support for ecological security, resources, regional high-quality sustainable development Province.

Language: Английский

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Spatio-Temporal Evolution and Coupled Coordination of LUCC and ESV in Cities of the Transition Zone, Shenmu City, China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(12), P. 3136 - 3136

Published: June 15, 2023

This study investigates the spatial-temporal evolution and interconnectedness of land use/cover change (LUCC) ecosystem service value (ESV). Such analysis can offer theoretical guidance support decision-making for sustainable resource development ecological preservation in ecologically vulnerable cities within Loess Plateau-Maowusu Desert transition zone. Utilizing Landsat data spanning 2000–2020, paper examines synergistic relationship between ESV use intensity Shenmu City through bivariate spatial autocorrelation coupled coordination degree (CCD) model. Our findings indicate that area construction experienced most significant 2000 2020, with a dynamism rate 76.8%. shift resulted decrease total ESV, from RMB 10.059 billion to 9.906 2020. The reveals positive correlation intensity, while CCD levels both demonstrate fluctuating yet overall upward trend over 20-year period. uncovers LUCC along their interconnected dynamics. research outcomes contribute valuable insights reinforcing utilization promoting regional

Language: Английский

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