Dynamic Changes and Driving Factors in the Surface Area of Ebinur Lake over the Past Three Decades DOI Creative Commons
Yuan Liu, Qingyu Wang, Dian Wang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3876 - 3876

Published: Oct. 18, 2024

Dryland lakes are indispensable to regional water resource systems. Ebinur Lake, the largest saline lake in Xinjiang Uygur Autonomous Region, is vital for biodiversity and environmental stability but has been facing predicament of gradual shrinkage recent decades. In this study, we proposed a new dual-index method Landsat (-5, -7, -8, -9) data extract with combinations normalized difference index (NDWI) modified NDWI turbid waters (NDWIturbid). The showed high overall accuracy 96.36% Lake. series images from 1992 2023 were employed acquire areas results that, over past three decades, area Lake exhibited fluctuating decreasing trend, an average 568.74 ± 152.43 km². northwest intermittent significant changes, there was close connection between core areas. Seasonally, decreased spring autumn. River inflow, driven by rainfall human activities, primary factor affecting inter/inner annual changes Furthermore, due valley effects, wind found be critical diurnal This study should deepen understanding variations benefit local management.

Language: Английский

Characterizing the capability of public DEMs for mapping global floodplain bathymetry DOI

Yaling Lin,

Chenyu Fan, Kai Liu

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133205 - 133205

Published: March 1, 2025

Language: Английский

Citations

0
Seasonal responses of microbial communities to water quality variations and interaction of eutrophication risk in Gehu Lake DOI

Qiqi Chen,

Yuxia Liu, Meng Zhang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 177199 - 177199

Published: Nov. 2, 2024

Language: Английский

Citations

2
Temporal dynamics of soil salinization due to vertical and lateral saltwater intrusion at an onshore aquaculture farm DOI Creative Commons
Xuan Yu, Beiyuan Xu, Rongjiang Yao

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 306, P. 109179 - 109179

Published: Nov. 16, 2024

Language: Английский

Citations

2
From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features DOI Creative Commons
Boyi Li, Adu Gong, Jiaming Zhang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 132, P. 104023 - 104023

Published: July 15, 2024

Aquaculture mapping is essential for monitoring and managing aquaculture resources. However, accurately geotargeting individual ponds from medium-resolution remote sensing imagery remains challenging, convolutional deep learning methods identifying require labor-intensive pixel-level annotations. This paper presents a novel weakly-supervised method to derive labels image-level annotations ponds. Our approach uses iterative anti-adversarial attacks refine localization results multi-scale class activation maps (CAMs). The improved integrates two regularization guided by features form joint loss function adversarial samples: discriminative water region suppression non-aquaculture suppression. We also propose an feature termed CFNDWI constrain the generate high-quality pseudo-labels. As result, pseudo-labels are used train semantic segmentation networks evaluated performance of our using commonly-used backbones on 10 m Sentinel-2 imagery. achieves Intersection over Union (IoU) values 0.618–0.655 pseudo-label generation, IoU 0.664–0.708 segmentation, outperforming state-of-the-art public datasets. effectiveness each module was testified through ablation experiments. leverages knowledge-driven guide data-driven process, addressing lack datasets model training. code implementing will be accessible at https://github.com/designer1024/WSLM-AQ.

Language: Английский

Citations

1
Dynamic Changes and Driving Factors in the Surface Area of Ebinur Lake over the Past Three Decades DOI Creative Commons
Yuan Liu, Qingyu Wang, Dian Wang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3876 - 3876

Published: Oct. 18, 2024

Dryland lakes are indispensable to regional water resource systems. Ebinur Lake, the largest saline lake in Xinjiang Uygur Autonomous Region, is vital for biodiversity and environmental stability but has been facing predicament of gradual shrinkage recent decades. In this study, we proposed a new dual-index method Landsat (-5, -7, -8, -9) data extract with combinations normalized difference index (NDWI) modified NDWI turbid waters (NDWIturbid). The showed high overall accuracy 96.36% Lake. series images from 1992 2023 were employed acquire areas results that, over past three decades, area Lake exhibited fluctuating decreasing trend, an average 568.74 ± 152.43 km². northwest intermittent significant changes, there was close connection between core areas. Seasonally, decreased spring autumn. River inflow, driven by rainfall human activities, primary factor affecting inter/inner annual changes Furthermore, due valley effects, wind found be critical diurnal This study should deepen understanding variations benefit local management.

Language: Английский

Citations

0