Unveiling the thermal impact of land cover transformations in Khuzestan province through MODIS satellite remote sensing products

Paddy and Water Environment, Journal Year: 2024, Volume and Issue: 22(4), P. 503 - 520

Published: June 5, 2024

Language: Английский

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Deep spatio-textural feature driven multi-constraints pool-based active learning model for resource-efficient big earth observations

International Journal of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 35

Published: Feb. 10, 2025

Language: Английский

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Ecological Environmental Changes and the Impact on Alpine Wetland Spatiotemporal Differentiation in Western Sichuan

Wetlands, Journal Year: 2025, Volume and Issue: 45(2)

Published: Feb. 1, 2025

Language: Английский

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Assessing daily GRACE Data Assimilation during flood events of the Brahmaputra River Basin

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 975, P. 179181 - 179181

Published: April 7, 2025

The integration of satellite-based observations into hydrological models contributes to achieving more precise simulations, thus supporting hazard mitigation and policy-making especially in poorly gauged basins. Sub-monthly Terrestrial Water Storage (TWS) derived from the Gravity Recovery Climate Experiment (GRACE) mission have been shown contain useful information for prediction monitoring sub-monthly water storage anomalies such as floods. This study assesses, first time, benefits challenges integrating TWS a large-scale model during flood events. experiment is carried out Brahmaputra River Basin performed through state-of-the-art sequential Data Assimilation (DA) with aim improving estimates. results indicate that daily DA, based on Ensemble Kalman Filter (EnKF), successfully introduces observed variability (differences below 10 mm GRACE TWS). DA spatially vertically downscales updates timing distribution. Especially, it modifies river compartment, where variations are expected In contrast, monthly implemented both an EnKF Smoother (EnKS), introduce undesired peaks time series. Choosing adequate covariance localization found be crucial DA. Finally, statistical characteristics translation discharge investigated, recommendations future developments provided.

Language: Английский

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Glacier and Snow Cover Dynamics and Their Affecting Factors on the Pamir Plateau Section of the China–Pakistan Economic Corridor

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 880 - 880

Published: April 16, 2025

The China–Pakistan economic corridor (CPEC) traverses the ecologically fragile and geologically hazardous Pamir plateau (PP), where glacier dynamics are critical for water resources ecological stability. This study analyzes changes in PP segment of CPEC from 2000 to 2022 using Google Earth engine (GEE) an improved snow cover extraction method. Results show that before CPEC’s initiation (2000–2014), area fluctuated with annual increase 422 km2, peaking 2010. After 2015, declined continuously at 1000 km2 per year, reaching a minimum 2022. Snow also declined, especially post-2015. Glacier retreat was most severe low-altitude regions, particularly eastern southern PP, while higher altitudes (5000–7000 m) exhibited slower retreat. Climatic analysis reveals strengthening negative correlation between temperature, evapotranspiration, area, indicating accelerated due global warming. These findings provide scientific support protection, resource management, geological hazard mitigation along CPEC.

Language: Английский

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A Multi-Strategy Siberian Tiger Optimization Algorithm for Task Scheduling in Remote Sensing Data Batch Processing

Biomimetics, Journal Year: 2024, Volume and Issue: 9(11), P. 678 - 678

Published: Nov. 6, 2024

With advancements in integrated space-air-ground global observation capabilities, the volume of remote sensing data is experiencing exponential growth. Traditional computing models can no longer meet task processing demands brought about by vast amounts data. As an important means data, distributed cluster computing's scheduling directly impacts completion time and efficiency resource utilization. To enhance optimize allocation resources, this study proposes a Multi-Strategy Improved Siberian Tiger Optimization (MSSTO) algorithm based on original (STO) algorithm. The MSSTO integrates Tent chaotic map, Lévy flight strategy, Cauchy mutation, learning showing significant advantages convergence speed optimal solution search compared to STO By combining stochastic key encoding schemes uniform schemes, taking aerosol optical depth retrieval as case study, research results show that significantly shortens (21% shorter average 15% nine advanced algorithms, such particle swarm gray wolf algorithm). It demonstrates superior accuracy over various competing achieving execution sequence machine scheme for scheduling.

Language: Английский

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An Evaluation of Low‐Cost Terrestrial Lidar Sensors for Assessing Hydrogeomorphic Change

Earth and Space Science, Journal Year: 2024, Volume and Issue: 11(8)

Published: Aug. 1, 2024

Abstract Accurate topographic data acquired at appropriate spatio‐temporal resolution is often the cornerstone of geomorphic research. Recent decades have seen advances in our ability to generate highly accurate data, primarily through application remote sensing techniques. Structure from Motion‐Multi View Stereo (SfM‐MVS) and lidar revolutionised spatial surveys across large extents. Technological developments led commercialisation small form factor (SFF) 3D sensors that are suited deployment on both mobile (e.g., uncrewed aerial systems), fixed semi‐permanent installations. Whilst former has been adopted, potential for latter suitable investigations yet be assessed. We address this gap here context a 3‐month where channel change assessed an adjusting fluvial system. find SFF detection products comparable those generated using conventional Areas no characterised as such (mean 0.014 m compared with 0.0014 Riegl VZ‐4000), differences median eroding sections between 0.02 0.04 m. illustrate enables: (a) characterisation river adjustments extraction bank long‐profiles; (b) assessment retreat patterns which help elucidate failure mechanics; (c) water surface elevations. The technology will enable better understanding processes variety systems, can captured 4D near real‐time processing.

Language: Английский

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Multi-Platform Collaboration in Integrated Surveying: Ensuring Completeness and Reliability of Geospatial Data—A Case Study

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4499 - 4499

Published: Nov. 30, 2024

Multi-platform geospatial data synergy is critical for complete and reliable surveys. This study investigates various methods combining from terrestrial laser scanning (TLS), orthophotos, databases of topographic objects, utility databases, tacheometry, GNSS to assess improve positioning accuracy consistency in spatial databases. The highlights the challenges solutions regarding integrating datasets yield a database building surveys construction keeping Input diversified surveying technologies, such as TLS, GNSS, offers detailed precise necessary create update accurate base maps objects. A survey structure its surroundings demonstrates how synergistic application diverse sources helps results indicate importance multi-platform collaboration high quality standards surveying, which effective planning implementation projects.

Language: Английский

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Climate risk analysis: Definitions, measurements, strategies, and sectoral impacts

Journal of Economic Surveys, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Abstract The paper reviews and integrates the definitions, measurement techniques of climate risk, its economic, social, financial impacts. It systematizes various dimensions including transition risks physical risks, how these are defined understood in current literature. compiles methodologies used to measure highlighting innovative approaches such as big data analytics, machine learning, complex network models. Additionally, it assesses societal impacts change, examining different sectors, agriculture, energy, transportation, finance, affected. By synthesizing findings from a broad range studies, this review provides detailed understanding multifaceted nature risk offers insights into effective management strategies. Significantly, research serves crucial theoretical foundation for policymakers formulating policies combat change industry practitioners devising investment strategies, thus providing practical implications that essential mitigating adverse effects on society. aims be valuable resource those working area.

Language: Английский

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Mapping the Future Geoinformatics at the Crossroads of Sustainable Climate Change Resilience

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 347 - 382

Published: Nov. 29, 2024

This chapter explores the pivotal role of geoinformatics in evaluating and addressing impacts climate change. By integrating advanced technologies like Geographic Information Systems (GIS), remote sensing, spatial data analytics, it offers a comprehensive framework for analyzing environmental changes enhancing resilience. It highlights key applications geoinformatics, including disaster risk reduction, sustainable urban planning, monitoring, agriculture. These demonstrate how facilitates informed decision-making, fosters development, supports creation resilient communities against Additionally, this discusses importance emerging cloud computing, Internet Things (IoT), unmanned aerial vehicles (UAVs). Through multidisciplinary approach, underscores necessity developing effective strategies change mitigation adaptation, providing crucial insights policymakers, researchers practitioners.

Language: Английский

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