Unraveling the impact of climatic warming and wetting on eukaryotic microbial diversity and assembly mechanisms: A 10-year case study in Lake Bosten, NW China

Water Research, Journal Year: 2024, Volume and Issue: 256, P. 121559 - 121559

Published: March 31, 2024

Language: Английский

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MosaicFormer: A Novel Approach to Remote Sensing Spatiotemporal Data Fusion for Lake Water Monitors

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1138 - 1138

Published: March 22, 2025

Lake water is a crucial resource in the global hydrological cycle, providing substantial freshwater resources and regulating regional climates. High-resolution remote sensing satellites, such as Landsat, provide unprecedented opportunities for continuous monitoring of lake area changes. However, limitations imposed by revisit cycles cloud cover often result only few usable images being taken per month single lake, restricting our understanding daily-scale dynamics. Leveraging recent advancements AI-driven technologies, we developed an innovative deep learning algorithm, MosaicFormer, Transformer-based model designed spatiotemporal fusion across diverse applications. We used it to integrate observations from MODIS producing seamless daily Landsat-scale images. To demonstrate its effectiveness, applied monitoring, showcasing ability reconstruct high-resolution body dynamics with limited Landsat data. This approach combines Masked Autoencoders (MAEs) Swin Transformer architecture, effectively capturing latent relationships between Testing on public benchmarks demonstrated that method outperforms all traditional approaches, achieving robust data overall R2 0.77. A case study reveals captures variations surface Hala Lake, accurate results. The results indicate demonstrates significant advantages holds potential large-scale sensing-based environmental monitoring.

Language: Английский

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Accounting of Grassland Ecosystem Assets and Assessment of Sustainable Development Potential in the Bosten Lake Basin

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3460 - 3460

Published: April 13, 2025

Assessing the ecosystem service value (ESV) of grasslands is crucial for sustainable resource management and environmental conservation. This study evaluates spatiotemporal changes in grassland services Bosten Lake Basin using long-term land use data (2000–2022). Employing Patch-generating Land Use Simulation (PLUS) model, we develop three future scenarios—natural development, ecological protection, economic priority—to predict utilization trends. The findings reveal a continuous decline area values, driven by climate change human activities. Compared with 2022, all scenarios indicate further degradation, but protection measures significantly mitigate ESV loss. provides scientific insights policy-making, contributing to restoration strategies under impacts. following: (1) Over 22-year period, has experienced an overall decline. Notably, plain desert steppe expanded from 626,179.41 ha 1,223,506.62 ha, whereas meadow reduced 556,784.64 118,948.23 ha. (2) total basin exhibited marginally insignificant decrease, amounting reduction 5.73422 billion CNY. values mountain desert, steppe, typical were relatively low showed minimal change. (3) In comparison projected areas 2000 show substantial reduction, particularly hilly grasslands. across are expected tandem varying degrees degradation. research underscores impact global warming activities on shrinking diminishing Basin. current state resources threat, highlighting urgent need strategic planning conservation efforts ensure development integrity.

Language: Английский

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Monitoring Surface Water Area Changes in the Aral Sea Basin Using the Google Earth Engine Cloud Platform

Water, Journal Year: 2023, Volume and Issue: 15(9), P. 1729 - 1729

Published: April 29, 2023

The surface water area and types in the Aral Sea Basin (ASB) have undergone extensive changes due to impacts of climate change anthropogenic activities. This study explores ASB based on Google Earth Engine cloud platform. Then, we integrate multi-source data identify 1559 lakes 196 reservoirs from Joint Research Centre Global Surface Water (JRC GSW) dataset. Our results indicate that lake (34,999.61 km2) is about 10 times reservoir (3879.08 ASB. total decreased by 23,194.35 km2 or 34.58% 1992 2020. Specifically, areas permanent shrunk at a rate 1278.6 km2/year, while seasonal increased 522.5 km2/year. proportion has 79.33% (during 1992–2000) 75.21% 2000–2010) 63.94% 2010–2020). should flowed into maintain its may been converted two parts. Part it might continue be but show up other regions, part convert (especially itself plain area). bridges limitations previous studies ignored builds list for 1755 lakes/reservoirs (≥0.1 first time. can serve as important knowledge resource management sustainable river basin development

Language: Английский

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Assessment of Atmospheric Correction Algorithms for Correcting Sunglint Effects in Sentinel-2 MSI Imagery: A Case Study in Clean Lakes

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 3060 - 3060

Published: Aug. 20, 2024

The Sentinel-2 Multi-Spectral Instrument (MSI) is characterized by short revisit times (5 days), red-edge spectral bands (665 nm and 705 nm), a high spatial resolution (10 m), making it highly suitable for monitoring water quality in both inland coastal waters. Unlike SeaWiFS, which can adjust its viewing angles to minimize sunglint, the MSI operates with fixed near-nadir angles, makes more susceptible sunglint. Additionally, complex optical properties of pose challenges accurately determining water-leaving reflectance. Therefore, we compared effectiveness six atmospheric correction (AC) algorithms (POLYMER, MUMM, DSF, C2RCC, BP, GRS) correcting sunglint using two typical lakes Xinjiang, China, as examples. results indicated that POLYMER achieved highest overall evaluation score (1.61), followed MUMM (1.21), while BP exhibited lowest performance (0.62). Specifically, showed robust at 665 band RMSE = 0.0012 sr−1, R2 0.74, MAPE 30.68%, well 0.0014 0.42, 38.44%. At 443, 490, 560 bands, better (RMSE ≤ 0.0026 ≥ 0.86, 28.20%). In terms ratios, accuracy 0.093 22.2%), particularly ratio Rrs(490)/Rrs(560) (R2 0.71). general, best choice Xinjiang’s clean lakes. This study assessed capability different AC enhanced data

Language: Английский

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Evaluation of River Health and Human Well-Being in the Heihe River Basin Using the SMI-P Method: A Case Study of the Zhangye City

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2701 - 2701

Published: Sept. 23, 2024

Oasis cities are central to the economic and social development as well ecological sustainability in arid region Northwest China. This study aims explore balance between river health human well-being of local residents Hexi River oasis, while also enhancing effectiveness water resource management within basin. Utilizing SMI-P method, we construct a ‘Happy River’ evaluation system that integrates goals, criteria, indicators. We analyze index for construction area, specifically Zhangye City section Heihe Basin, derive comprehensive value initiative. Additionally, assess fit attribute using coupled coordination degree model harmony theory, thereby rationality method ensuring more thorough examination process. The results indicate from 2017 2021, urban wastewater treatment rate quality excellence Black Basin represent highest lowest weights, respectively, system. suggests improving environment has emerged primary factor influencing assessment Happy during Lake. Moreover, is identified most significant criterion system, serving main affecting residents’ perceptions happiness related rivers lakes. Over five-year period, level area improved “relatively happy” “very happy”, coupling increased 0.605 0.687, indicating gradual progression toward coordinated development. Simultaneously, rose 0.527 0.601, suggesting tendency towards condition basic harmony. 76.71 81.97, transitioning state one very high happiness. composite improved, rising 0.459 0.526, which demonstrates preliminary success efforts area. River’, along with final this study, can serve theoretical references similar initiatives typical characteristic

Language: Английский

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2015-2023 yılları arasında Kadıköy Barajı su yüzey alanının OTSU yöntemiyle Sentinel-2 multispektral görüntülerinden operasyonel olarak belirlenmesi

Turkish Journal of Remote Sensing and GIS, Journal Year: 2024, Volume and Issue: unknown, P. 254 - 271

Published: Sept. 26, 2024

Bu çalışmada, Kadıköy Barajı'nın 2015-2023 yılları arasındaki su yüzey alanı değişimleri, Sentinel-2 uydu görüntüleri kullanılarak otomatik bir şekilde belirlenmesi amaçlanmıştır. Çalışma kapsamında, yaygın olarak kullanılan Normalleştirilmiş Fark Su İndeksi (NDWI) ve Modifiye Edilmiş (MNDWI) kullanılmıştır. NDWI MNDWI sonuçlarındaki mekânsal çözünürlük farkını ortadan kaldırmak için 20m çözünürlüğündeki kısa dalga kızılötesi bandı (SWIR-1), evrişimli sinir ağları yöntemiyle 10m çözünürlüğe yükseltilmiştir. alanlarını diğer alanlardan ayırmak ile hem sabit (MNDWI_0) de OTSU (MNDWI_OTSU) dinamik eşikleme yöntemleri Daha sonra, elde edilen sonuçlar, Barajını yöntemi operasyonel takip eden Global Water Watch (GWW) gözlemleri Level-2 sınıflandırma katmanındaki (SCL) etiketlenen piksellerden hesaplanan baraj bulutluluk oranının %1’in altında olduğu günlerde karşılaştırılmıştır. Sonuçlara göre, en düşük bağıl hata MNDWI_OTSU MNDWI_0 arasında görülmesine rağmen, GWW ortanca görülmüştür. Bunun nedeni, gözlemlerinde bazı fiziksel mümkün olmayan ani değişimler ortalama hatayı yükseltmiştir.

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A new approach to three-dimensional monitoring of surface changes in lakes: application of three-way data analysis model in Lake Burdur, Turkey

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(11)

Published: Oct. 22, 2024

Language: Английский

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Spatio-Temporal Distribution Characteristics of Glacial Lakes in the Altai Mountains with Climate Change from 2000 to 2020

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(14), P. 3689 - 3689

Published: July 24, 2023

The evolution of a glacial lake is true reflection and climatic change. Currently, the study lakes in Altai Mountains mainly concerned with application high-resolution remote sensing images to monitor evaluate potential hazards lakes. At present, there no rapid large-scale method dynamical variation Mountains, little research on predicting its future tendency. Based supervised classification results obtained by Google Earth Engine (GEE), combined an analysis meteorological data, we analyzed spatial temporal variations between 2000 2020, used MCE-CA-Markov model predict their changes future. According results, as are 3824 area 682.38 km2. Over entire period, quantity growth rates were 47.82% 17.07%, respectively. distribution this region showed larger concentration north than south. Most had areas smaller 0.1 km2, was minimal change observed 0.2 Analyzing regional elevation 100 m intervals, found that predominantly distributed at elevations from 3000 m. Interannual rainfall temperature fluctuations have slowed since 2014, trends for number stabilized. both surface expected continue through 2025 2030, although pace will slow. In context small increases precipitation large temperature, future, faster be located primarily southern Mountains.

Language: Английский

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Beyond the ice: decoding Lake Mertzbakher’s response to global climate shifts

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 29, 2024

This study addresses the critical problem of understanding changing dynamics glacier meltwater in Lake Mertzbakher, a challenge heightened by ongoing global climate change. Employing innovative method Google Earth Engine (GEE) platform, this research meticulously extracted surface water data at 60 time points during years 2000, 2005, 2010, 2015, and 2021. approach represents significant advancement over previous methods offering more frequent precise analysis. We incorporated meteorological factors such as temperature precipitation to assess their influence on monthly changes lake area. Our findings indicate pronounced outburst July, leading substantial decrease lake’s area, which reaches its lowest September. Through detailed partial regression analysis, we established hierarchy influences identifying minimum ( r = 0.245), mean −0.239), 0.228), radiation 0.154), maximum 0.128) key factors. Additionally, our use structural equation model unveiled most impactful elements, with −3.320), 2.870), 0.480), 0.470) effects. These insights mark contribution dynamics, crucial for predicting managing floods. study’s novel methodology comprehensive analysis underscore significance enhancing disaster prevention preparedness strategies amidst challenges

Language: Английский

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