A new model for high-accuracy monitoring of water level changes via enhanced water boundary detection and reliability-based weighting averaging

Remote Sensing of Environment, Год журнала: 2024, Номер 313, С. 114360 - 114360

Опубликована: Авг. 19, 2024

Accurate measurement of water levels is essential for effectively managing reservoirs to proactively mitigate flooding and drought. Nonetheless, the inaccuracies in measurements derived from gauging station remote sensing images impose constraints resource management. In this study, we developed a novel level estimation model which utilizes solely altitude reliable boundary pixels improve accuracy. The enhanced detection, incorporating preprocessing steps such as image filtering, resampling, polarization multiplication, was applied achieve sub-pixel precision detecting boundaries. located layover shadow regions, could be misidentified due distortion error, are eliminated based on backward geolocation. Ambiguous boundaries, potentially indicating land with low intensity, were defined by computing their absolute derivatives, removed. Finally, enhance precision, computed averaging altitudes weighting factors local incidence angle, derivatives detected distribution. Compared previous studies utilizing proposed demonstrated outstanding performance improving accuracy, up 1/40th smaller than spatial resolution SAR Mean Absolute Error (MAE). validation executed over results >700 Sentinel-1 against in-situ obtained multiple streams significant fluctuations Korean peninsula. process, found that boundaries regions significantly influence dispersion pixels. This study demonstrates relying data without measurements, holds potential applicability under situations where unavailable.

Язык: Английский

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Invasive-Weed-Optimization-Based Extreme Learning Machine for Prediction of Lake Water Level Using Major Atmospheric–Oceanic Climate Scenarios

Sustainability, Год журнала: 2024, Номер 16(17), С. 7825 - 7825

Опубликована: Сен. 8, 2024

Fresh water lakes are vulnerable assets that need to be protected against manmade/natural challenges like climate change and anthropogenesis activities. This study addresses the predictability of lake level changes based on knowledge acquired directly from data. Two fresh named Lake Iznik Uluabat, located in Turkey, addressed. Time series levels during October 1990–September 2019 at a monthly scale, along with corresponding anomalies 24 Large-Scale Atmospheric–Oceanic Oscillations (LSAOOs) around globe, used analysis. The relationship between variables structure models initially significance dependence indices consideration Spearman rank-order coefficient. Then, time divided into training (80%) testing (20%) sets. Extreme Learning Method (ELM), enhanced genetic algorithm (ELM-GA) Invasive Weed Optimization (ELM-IWO), is then predictive models. Based results, Uluabat showed stronger teleconnection LSAOOs, while ELM-GA for ELM-IWA depicted best performance prediction levels. Comparison ELM-IWO illustrates reveals more acceptable results owing its flexible nature.

Язык: Английский

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Water–Ecological Health Assessment Considering Water Supply–Demand Balance and Water Supply Security: A Case Study in Xinjiang

Remote Sensing, Год журнала: 2024, Номер 16(20), С. 3834 - 3834

Опубликована: Окт. 15, 2024

Water scarcity and ecological degradation in arid zones present significant challenges to regional health. Despite this, integrating the water supply–demand balance supply security (SEC) into health assessments—particularly through composite indicators—remains underexplored regions. In this study, we assessed changes Xinjiang by utilizing multivariate remote sensing data, focusing on between demand, degree of SEC, ecosystem resilience (ER). Our results indicate that while demand remained relatively stable northern 2000 2020, conflict intensified southern eastern agricultural SEC evaluations revealed 73.3% region experienced varying degrees decline over 20-year period. Additionally, ER assessments showed 7.12% exhibited a decline, with 78.6% experiencing overall reductions The indicators’ response drought demonstrated improvements during wet conditions were less pronounced than declines droughts. This study underscores necessity prioritizing areas lower future allocation strategies optimize resource utilization.

Язык: Английский

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Nonnegligible role of small lakes in global surface water storage dynamics

Science Bulletin, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

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Editorial for Special Issue: “Monitoring Terrestrial Water Resource Using Multiple Satellite Sensors”

Remote Sensing, Год журнала: 2024, Номер 16(11), С. 1821 - 1821

Опубликована: Май 21, 2024

In the past few decades, with advent of climate change, population growth, agricultural irrigation, and industrial development, there have been increasing demands for water resources across globe, especially in widely distributed arid areas or densely populated [...]

Язык: Английский

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