An Integrated Approach Using Remote Sensing and Multi-Criteria Decision Analysis to Mitigate Agricultural Drought Impact in the Mazowieckie Voivodeship, Poland DOI Creative Commons
Magdalena Łągiewska, Maciej Bartold

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1158 - 1158

Published: March 25, 2025

Climate change, particularly the increasing frequency of droughts, poses a critical challenge for agriculture. Rising temperatures and water scarcity threaten both agricultural productivity ecosystem stability, making identification effective drought mitigation strategies essential. This study introduces an innovative approach to monitoring in Poland, utilizing remote sensing (RS) satellite data, collected from 2001 2020, Drought Identification Satellite System (DISS) index at 1 km × spatial resolution, combination with Copernicus High-Resolution Layers (HRL). To assess areas’ capacities mitigate risks, multi-criteria decision (MCD) analysis regional environmental conditions was conducted. Focusing on Mazowieckie Voivodeship, algorithm developed evaluate susceptibility drought. Spatial datasets were used analyze indicators, producing map communal temperature capacities. Statistical identified vulnerability, highlighting areas need urgent intervention, such as increased mid-field tree planting. The revealed that droughts this region during growing season 2020 exceeded 40%. As result, 40 LAU 2 administrative units have been affected by multiple negative factors contribute formation its long-term persistence. proposed methodology, integrating diverse data sources analyses, offers tool monitoring, planning, protection changing climate. provides valuable insights policymakers land managers addressing challenges enhancing resilience impacts climate change.

Language: Английский

Seasonal Variations and Assessment of Surface Water Quality Using Water Quality Index (WQI) and Principal Component Analysis (PCA): A Case Study DOI Open Access
Driss Hammoumi, Hefdhallah S. Al-Aizari,

Ibrahim A. Alaraidh

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5644 - 5644

Published: July 1, 2024

In recent decades, water pollution has become a major concern, threatening both humans and natural ecosystems. This study aims to analyze seasonal variations in the quality of surface Nador Canal Morocco, using index (WQI) principal component analysis (PCA). Surface samples from 22 sites along canal were analyzed for physical, chemical, heavy metal parameters. The results revealed significant variations, with decreasing summer months, while its generally improved winter. predominant type was Na+-Cl− summer, it mixed Ca2+-Na+-HCO3− WQI values also varied seasonally, an average 113.04 160.6 winter, classifying as unsuitable drinking but suitable irrigation throughout year. are consistent Canal, where showed that there quality. ions like magnesium, sodium, calcium predominantly indicate influences anthropogenic sources. metals nutrients, signaling industrial agricultural runoff, especially prominent. These influenced by rainfall patterns emphasizing need adaptive management practices maintain crop soil health. provides new insights into dynamic interplay between factors quality, offering valuable guidance local resource management.

Language: Английский

Citations

16
Land Use and Land Cover Changes: A Case Study in Nigeria DOI Creative Commons
Olanrewaju Hammed Ologunde,

Mordiyah O. Kelani,

Moges Kidane Biru

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 389 - 389

Published: Feb. 13, 2025

Land Use and Cover (LULC) assessment is vital for achieving sustainable ecosystems. This study quantified mapped the spatiotemporal LULC changes in Ado-Odo Ota Local Government Area of Ogun State, Nigeria, between 2015 2023. The was classified into water, forest or thick bush, sparse vegetation, built-up, bare land using Landsat images. Processing, classification, image analysis were done ESRI ArcGIS Pro 3.3. changed from to 2023, with built-up areas vegetation increasing by 138.2 km2 28.7 km2, respectively. In contrast, which had greatest change among classes, decreased 153.7 over this period while water bodies 9.5 3.8 Forest bush (201.0 km2) converted reflects an increase agricultural activities region. conversion about 109.8 3.7 highlights considerable urbanization. Overall, area need use practices balance urban growth ecological preservation, achievable through effective management policy frameworks.

Language: Английский

Citations

3
Impacts of land use/land cover on water quality: a contemporary review for researchers and policymakers DOI Creative Commons
Kent Anson Locke

Water Quality Research Journal, Journal Year: 2024, Volume and Issue: unknown

Published: April 22, 2024

Abstract Few factors are as important in determining water quality land use/land cover (LULC). Many use activities, including agriculture, urban development, mining, and commercial forestry, tend to be sources of diffuse pollution. By contrast, indigenous vegetation can act a sink, thus providing some protection from anthropogenic contamination. Notwithstanding the large body research demonstrating these facts, decision-makers require clear accessible information assist them developing effective management plans that fully cognisant manifold impacts LULC on resources. Reviewing available literature, this article, therefore, offers critical overview typical quality. An strategy for managing highlighted article is maintenance sufficient amount unfragmented natural vegetation, not only within riparian zones but also across catchment areas. However, knowledge gaps identified review indicate further context-specific required determine types minimum vegetative protect resources pollution potential impact landscape fragmentation ability A discussion therefore provided.

Language: Английский

Citations

14
Artificial intelligence in civil engineering DOI
Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 74

Published: Jan. 1, 2024

Citations

12
Reviewing the application of big data analytics in satellite network management to optimize performance and enhance reliability, with implications for future technology developments DOI Creative Commons

Nneka Adaobi Ochuba,

David Olanrewaju Olutimehin,

Olusegun Gbenga Odunaiya

et al.

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 10(2), P. 111 - 119

Published: March 20, 2024

The application of big data analytics in satellite network management has emerged as a transformative approach to optimize performance and enhance reliability the telecommunications industry. This paper reviews current state management, highlighting its key applications benefits. By analyzing large volumes generated by networks, enables companies gain valuable insights into performance, identify potential issues, take proactive measures ensure optimal performance. One is predictive maintenance. historical equipment metrics, can predict when likely fail preventive avoid downtime. not only improves but also reduces maintenance costs overall operational efficiency. Another important optimization. Big analyze traffic, weather conditions, other factors beam coverage, frequency allocation, routing. helps maximize bandwidth utilization, reduce interference, improve service quality. implications for future technology developments are significant. As volume networks continues grow, there need advanced tools techniques process this efficiently. Future areas such AI, machine learning, visualization expected play role enhancing capabilities management. In conclusion, offers significant benefits terms optimizing reliability. leveraging provided analytics, efficiency, costs, deliver better services their customers. will further paving way more efficient reliable

Language: Английский

Citations

10
Analysis and Prediction of Land Use/Land Cover Changes in Korgalzhyn District, Kazakhstan DOI Creative Commons
Onggarbek Alipbeki,

Chaimgul Alipbekova,

Gauhar Mussaif

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(2), P. 268 - 268

Published: Jan. 25, 2024

Changes occurring because of human activity in protected natural places require constant monitoring land use (LU) structures. Therefore, Korgalzhyn District, which occupies part the State Natural Reserve territory, is considerable interest. The aim these studies was to analyze changes composition use/land cover (LULC) District from 2010 2021 and predict LU transformation by 2030 2050. Landsat image classification performed using Random Forest on Google Earth Engine. combined CA-ANN model used LULC 2050, were carried out MOLUSCE plugin. results showed that 2021, there a steady increase share ploughable an adequate reduction grassland. It established that, this trend will continue. At same time, be no drastic other classes. obtained can helpful for development management plans policies District.

Language: Английский

Citations

9
Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review DOI Creative Commons
Suryakant Bajirao Tarate,

N. R. Patel,

Abhishek Danodia

et al.

Geomatics, Journal Year: 2024, Volume and Issue: 4(2), P. 91 - 123

Published: March 22, 2024

Effective management of water resources is crucial for sustainable development in any region. When considering computer-aided analysis resource management, geospatial technology, i.e., the use remote sensing (RS) combined with Geographic Information Systems (GIS) proves to be highly valuable. Geospatial technology more cost-effective and requires less labor compared ground-based surveys, making it suitable a wide range agricultural applications. Effectively utilizing timely, accurate, objective data provided by RS technologies presents challenge field management. Satellite-based measurements offer consistent information on hydrological conditions across extensive land areas. In this study, we carried out detailed focused addressing issues India through application GIS technologies. Adhering Preferred Reporting Items Systematic Reviews Meta-Analysis (PRISMA) guidelines, systematically reviewed published research articles, providing comprehensive analysis. This study aims explore practices goal enhancing their effectiveness efficiency. primarily examines current Indian sustainability. We revealed that considerable has used multispectral Landsat series data. Cutting-edge like Sentinel, Unmanned Aerial Vehicles (UAVs), hyperspectral have not been fully investigated assessment monitoring resources. Integrating allows monitoring, offering valuable recommendations effective

Language: Английский

Citations

9
A comprehensive review of soil organic carbon estimates: Integrating remote sensing and machine learning technologies DOI Creative Commons
Tong Li, Lizhen Cui, Matthias Kuhnert

et al.

Journal of Soils and Sediments, Journal Year: 2024, Volume and Issue: 24(11), P. 3556 - 3571

Published: Oct. 5, 2024

Abstract Purpose Accurately assessing soil organic carbon (SOC) content is vital for ecosystem services management and addressing global climate challenges. This study undertakes a comprehensive bibliometric analysis of estimates SOC using remote sensing (RS) machine learning (ML) techniques. It showcases the historical growth thematic evolution in research, aiming to amplify understanding estimation themes provide scientific support change adaptation mitigation. Materials Methods Employing extensive literature database analysis, network clustering techniques, reviews 1,761 articles on RS technologies 490 employing both ML technologies. Results Discussion The results indicate that satellite-based RS, particularly Landsat series, predominant other associated studies, with North America, China, Europe leading evaluations Africa having low adopting technology. Trends research demonstrate an from basic mapping advanced topics such as (C) sequestration, complex modeling, big data utilization. Thematic clusters co-occurrence suggest interplay between technology development, environmental surveys, properties, dynamics. Conclusion highlights synergy ML, techniques proving be critical accurate estimation. These findings are crucial estimation, informed strategic decision-making.

Language: Английский

Citations

8
Modelling relationships between land use and water quality using statistical methods: A critical and applied review DOI Creative Commons
Kent Anson Locke

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 362, P. 121290 - 121290

Published: May 31, 2024

Land use/land cover (LULC) can have significant impacts on water quality and the health of aquatic ecosystems. Consequently, understanding quantifying nature these is essential for development effective catchment management strategies. This article provides a critical review literature in which use statistical methods to model LULC demonstrated. A survey publications, included hundreds original research articles, revealed several common themes findings. However, there are also persistent knowledge gaps, areas methodological uncertainty, questions application that require further study clarification. These relate primarily appropriate analytical scales, significance landscape configuration, estimation thresholds, as well potentially confounding influence extraneous variables. Moreover, geographical bias published means need ecologically climatically disparate regions, including less developed countries Global South. The focus this not provide technical techniques themselves, but examine important practical considerations their modelling quality.

Language: Английский

Citations

7
Accurate Prediction of Dissolved Oxygen in Perch Aquaculture Water by DE-GWO-SVR Hybrid Optimization Model DOI Creative Commons

Xingsheng Bao,

Yilun Jiang, Lintong Zhang

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(2), P. 856 - 856

Published: Jan. 19, 2024

In order to realize the accurate and reliable prediction of change trend dissolved oxygen (DO) content in California perch aquaculture water, this paper proposes a second-order hybrid optimization support vector machine (SVR) model based on Differential Evolution (DE) Gray Wolf Optimizer (GWO), shortened DE-GWO-SVR, predict DO with characteristics nonlinear non-smooth water quality data. Experimentally, data for quality, including pH, temperature, conductivity, salinity, total solids, DO, were collected. Pearson’s correlation coefficient (PPMCC) was applied explore between each parameter content. The optimal DE-GWO-SVR established compared models SVR, back-propagation neural network (BPNN), their models. results show that proposed can effectively global performance. Its R2, MSE, MAE RMSE be up 0.94, 0.108, 0.2629, 0.3293, respectively, which is better than those other This research provides guidance efficient bodies increasing effectiveness reducing risk, providing new exploratory path monitoring.

Language: Английский

Citations

6