Harnessing Geospatial Technology for Sustainable Development: A Multifaceted Analysis of Current Practices and Future Prospects

Published: Jan. 1, 2024

Language: Английский

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Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques

Water, Journal Year: 2023, Volume and Issue: 15(20), P. 3592 - 3592

Published: Oct. 13, 2023

Remote sensing (RS) data have allowed prospective zones of water accumulation (PZWA) that been harvested during rainstorms to be revealed. Climatic, hydrologic, and geological combined with radar optical remote data. A wide array data, including SRTM, Sentinel-1&2, Landsat-8, TRMM, ALOS/PALSAR were processed reveal the topographical characteristics catchments (elevation, slope, curvature, TRI) (lineaments, lithology, intensity), hydrological (Dd, TWI, SPI), ecological (NDVI, InSAR CCD), rainfall in Wadi Queih (WQ), which is an important drainage system drains into Red Sea. Radar improved structural elements showed downstream area shaped by northeast–southwest (NE-SW) fault trend. After giving each evidential GIS layer a weight utilizing GIS-based, knowledge-driven methodology, 13 layers integrated combined. According findings, studied basin can classified six based on how resources are held captured, very low, moderate, high, excellent. These correspond 6.20, 14.01, 21.26, 36.57, 17.35, 4.59% entire area. The results suggested specific location for lake used store rainwater, capacity ~240 million m3 case increasing yield. Such complements present at end WQ, hold about 1 m3. coherence change detection (CCD) derived from Sentinel-1 revealed noticeable changes land use/land cover (LU/LC) areas. Areas displayed surface signatures agricultural human activities consistent predicted high excellent zones. Thus, model approach aid planners governments. Overall, integration microwaves RS techniques promising areas rainwater accumulation.

Language: Английский

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Mapping Groundwater Prospective Zones Using Remote Sensing and Geographical Information System Techniques in Wadi Fatima, Western Saudi Arabia

Sustainability, Journal Year: 2023, Volume and Issue: 15(21), P. 15629 - 15629

Published: Nov. 5, 2023

Integration of remote sensing (RS) and GIS methods has allowed for the identification potential water resource zones. Here, climatic, ecological, hydrologic, topographic data have been integrated with microwave multispectral data. Sentinel-2, SRTM, TRMM were developed to characterize landscapes Wadi Fatima, a portion western Saudi Arabia that drains Red Sea. The physical characteristics Fatima’s catchment area are essential mapping groundwater zones derived from data, rainfall zones, lineaments, soil maps through RS techniques. Twelve thematic factors merged GIS-based knowledge-driven approach after providing weight every factor. Processing recent Sentinel-2 acquired on 4 August 2023 verified existence zone vegetation belonging promising areas (GPZs). output map is categorized into six zones: excellent (10.98%), very high (21.98%), (24.99%), moderate (21.44%), low (14.70%), (5.91%). SAR CCD Sentinel-1 2022 showed parts no unity in high-activity agricultural anthropogenic activities. model predictions proven ROC curves ground existing wells’ locations, water-bearing formations’ thickness inferred geophysical Their performance was accepted (AUC: 0.73). outcomes applied methodologies important exploring, planning, managing, sustainable development resources desert areas. present study successfully provided insights watershed’s vegetated variation, terrain database information using radar, optical, multi-temporal InSAR Furthermore, multi-criteria overlay technique revealed abstraction, which can be elsewhere various environmental situations.

Language: Английский

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Securing water for arid regions: Rainwater harvesting and sustainable groundwater management using remote sensing and GIS techniques

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 36, P. 101300 - 101300

Published: July 14, 2024

Language: Английский

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Bangalore Lakes Information System (BLIS) for Sustainable Management of Lakes

Journal of the Indian Institute of Science, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Language: Английский

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Contribuciones de los sistemas de información geográfica (SIG) en la planificación urbana sostenible

Published: Oct. 31, 2024

The article reviews the contributions of Geographic Information Systems (GIS) in sustainable urban planning, highlighting their relevance resource management and informed decision making for development resilient cities. Through a literature review, we analyze studies that show how GIS facilitate optimization water energy distribution, identification risk areas, planning transportation waste collection routes. These systems allow integration geospatial data real time, facilitating promotes sustainability. However, implementation faces significant challenges, such as lack up-to-date data, high costs, need trained personnel. Overcoming these barriers is fundamental to maximize potential contexts, especially areas with economic technical constraints. In conclusion, are strategic tools achieving development, although optimal application requires improvements infrastructure professional training technology.

Language: Английский

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Spatiotemporal Conflict Analysis and Prediction of Long Time Series Land Cover Changes in the Black Soil Region of Northeast China Using Remote Sensing and GIS

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(7), P. 271 - 271

Published: July 6, 2023

Using remote sensing and GIS techniques to monitor long time series land cover changes is of great significance understanding the impact human activities on spatiotemporal conflicts in cropland forest ecosystems black soil region Northeast China. Spatial analysis dynamic degree were used analyze evolutionary process association from 1990 2020; transfer matrix was reveal conversions 2000, 2000 2010, 2010 GM (1,1) model forecast by 2025 based historical data. The results indicated that dominance did not change 2020, average area 512,713 km2 486,322 km2, respectively. mutual conversion between cropland, forest, grassland, bare areas most frequent. converted into grassland 14,167 25,217 respectively, 27,682 23,764 2000. A similar law also presented 2020. In addition, predicted values shrubland, wetland, water bodies, impervious surfaces, 466,942 499,950 231,524 1329 11,775 18,453 30,549 189,973 2025. maximum minimum residuals actual 6241 −156 evaluation showed all indices within an acceptable range, posteriori error ratio class dispersion both less than 0.25. Through comparison with other studies, this study only able provide some experience for further analyzing spatial temporal its future prediction but a basis comprehensive management

Language: Английский

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Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(19), P. 4904 - 4904

Published: Sept. 30, 2022

Satellite altimetry technology has unparalleled advantages in the monitoring of hydrological resources. After decades development, satellite achieved a perfect integration from geometric research geodesy to natural resource research. shown great potential, whether solid or liquid. In general, this paper systematically reviews development technology, especially terms data availability and program practicability, proposes multi-source fusion method based on deep learning. Secondly, view prospects challenges opportunities application expansion surface water changes are sorted out. Among them, limitations redundancy emphasized. Finally, scheme learning proposed is presented. It hoped that it can provide effective technical support for

Language: Английский

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The importance of geographical information systems in urban and landscape planning: A bibliometric analysis

MEGARON / Yıldız Technical University Faculty of Architecture E-Journal, Journal Year: 2023, Volume and Issue: unknown, P. 499 - 519

Published: Jan. 1, 2023

Since the 1970s, Geographic Information Systems (GIS) have gained increasing recognition in literature, drawing attention of numerous scientific disciplines, particularly within technical and environmental sciences.What initially began as computerized map production 1970s has evolved with advancements computer processing power capacity, supported by various software packages.This study aims to reveal general tendencies research studies conducted fields urban planning, spatial landscape planning.To identify these trends, a bibliometric analysis was examining literature on published worldwide, including Türkiye.For this purpose, 2,354 review articles between 1990 2022 indexed Web Science database were analyzed using VOSviewer software, which is suitable for mapping analysis.The focused most frequently journals, highly-cited authors countries, collaborative authorship relationships, cited authors, topics Türkiye.As result, it been observed that, considering emergence modern GIS concepts late subsequent development based data from 1980s, Urban Regional Planning, Design, Landscape Architecture momentum since 1990s.Research establishing relationship planning Türkiye 2004, primary focus being categorized into three clusters: site selection, mapping, mathematical modeling.

Language: Английский

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Using Remote Sensing to Assess the Vegetation Cover of a Protected Salt Marsh Subjected to Artificial Recharge and Groundwater Abstractions during the Period 1925–2022 (Alicante, SE Spain)

Sustainability, Journal Year: 2024, Volume and Issue: 16(3), P. 973 - 973

Published: Jan. 23, 2024

The Agua Amarga salt marsh has been subjected to artificial seawater recharge on its surface during the period 1925–1969 for industrial purposes (saltwork activity) and from 2008 present compensate coastal groundwater abstraction supply Alicante desalination plants. This caused piezometric depletion in aquifer connected protected marsh. program also involved vegetation monitoring control impact ecosystem, allowing data be collected about halophyte species growing (Arthrocnemum macrostachyum, Sarcocornia fruticosa, Ruppia maritima, among others) spring autumn field surveys. In this work, development is assessed with remote sensing 1929–2022 using images visible near-infrared spectral resolution. Different indices (NDVI, BI, NDWI) classification algorithms (random forest) are used calculate cover. Field employed evaluate protocols compare results, showing a 46% decrease by works 50% increase as result of natural evolution recharge. spread Phragmites australis addressed comparing LiDAR monitoring, an 12% 2005–2023. advantages complementarity information explained.

Language: Английский

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