Enhancing surface water mapping and monthly dynamics monitoring with a stepwise gap-filling method DOI Creative Commons
Zhongxiang Liu, Dejun Zhu, Lei Wang

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Oct. 16, 2024

Optical satellite imaging for surface water mapping often encounters significant challenges owing to persistent spatial data gaps caused by clouds, shadows, and sensor errors. This study presents a novel Stepwise Gap-Filling (SGF) method, designed enhance the monthly monitoring. The SGF method leverages temporal similarities correlations reconstruct gap pixels originally classified as invalid observations. We validated this approach against historical high-resolution Google Earth images from 2887 sample points in Siling Co Basin of Tibetan Plateau. results demonstrated substantial improvements accuracy, achieving an overall accuracy 98.93%, producer' 98.59%, user' 99.11%, markedly reducing uncertainties original dataset. Importantly, offers detailed insights into dynamics, which are closely aligned with annual trends. highlights effectiveness filling its potential widespread application monitoring management global resources.

Language: Английский

Climate warming positively affects hydrological connectivity of typical inland river in arid Central Asia DOI Creative Commons

Chuanxiu Liu,

Yaning Chen, Wenjing Huang

et al.

npj Climate and Atmospheric Science, Journal Year: 2024, Volume and Issue: 7(1)

Published: Oct. 17, 2024

Hydrological connectivity is crucial for understanding water-ecosystem dynamics, as it serves a key link between different landscape units. However, the variability of hydrological in Central Asia remains unexplored, which poses challenges to comprehensive ecohydrological processes. This study investigates spatiotemporal patterns and driving mechanisms Tarim River Basin (TRB), Asia, from 1990 2020, employing novel approach that integrates remote sensing reanalysis data. The results indicate an increasing trend index (HCI), with approximately 60% TRB exhibiting significant increases. Climate change exerts greatest direct (0.59) total (0.64) effects on HCI, potential evapotranspiration (19.2%) temperature (12.6%) being dominant factors. In mountainous regions, climate (0.65) primary driver, while human activities have greater impact plains (−0.27). These findings offer new framework studying processes arid regions.

Language: Английский

Citations

6
Fast Expansion of Surface Water Extent in Coastal Chinese Mainland from the 1980s to 2020 Based on Remote Sensing Monitoring DOI Open Access
Yi Chen,

Haokang Li,

Song Song

et al.

Water, Journal Year: 2025, Volume and Issue: 17(2), P. 194 - 194

Published: Jan. 13, 2025

High-resolution satellite imagery providing long-term, continuous information on surface water extent in highly developed regions is paramount for elucidating the spatiotemporal dynamics of bodies. The landscape bodies a key indicator quality and ecological services. In this study, we analyzed dynamics, including rivers, lakes, reservoirs, using Landsat images spanning from 1980s to 2020, with focus Coastal Chinese Mainland (CCM) region. Our objectives were investigate temporal spatial variations area characteristics, explore driving forces behind these variations, gain insights into complex interactions between evolving environmental conditions, ultimately support sustainable development coastal regions. findings revealed that reservoirs constitute largest proportion water, while lakes occupy smallest share. Notably, trend expansion CCM was observed, mainly construction new reservoirs. These primarily gained areas agricultural land river floodplains early stages (1980s–2000), greater encroached upon by later periods (2001–2020). At level, tendency toward fragmentation complexity particularly evident. Human interference, urbanization, played pivotal role surfaces. While reservoir benefits resource assurance, flood control, prevention, it also poses eco-hydrological challenges, deterioration, reduced hydrological connectivity, aquatic ecosystem degradation. study provide essential data development. underscore urgency importance integrated management strategies, efforts aimed at conservation restoration natural scientific regulation artificial Balancing human needs preservation integrity crucial facilitating strategy integrates climatic socio-economic dimensions, ensuring use protection future generations.

Language: Английский

Citations

0
A novel framework for accurate, automated and dynamic global lake mapping based on optical imagery DOI
Tao Zhou, Guoqing Zhang, Jida Wang

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 221, P. 280 - 298

Published: Feb. 16, 2025

Language: Английский

Citations

0
An Adaptive Unmixing Method Based on Iterative Multi-Objective Optimization for Surface Water Fraction Mapping (IMOSWFM) Using Zhuhai-1 Hyperspectral Images DOI Creative Commons
Cong Lei, Rong Liu, Zhongcheng Kuang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(21), P. 4038 - 4038

Published: Oct. 30, 2024

Surface water fraction mapping is an essential preprocessing step for the subpixel (SPM) of surface water, providing valuable prior knowledge about distribution at level. In recent years, spectral mixture analysis (SMA) has been extensively applied to estimate fractions in multispectral images by decomposing each mixed pixel into endmembers and their corresponding using linear or nonlinear models. However, challenges emerge when introducing existing methods hyperspectral (HSIs) due insufficient exploration information. Additionally, inaccurate extraction can result unsatisfactory estimations. To address these issues, this paper proposes adaptive unmixing method based on iterative multi-objective optimization (IMOSWFM) Zhuhai-1 HSIs. IMOSWFM, a modified normalized difference index (MNDWFI) was developed fully exploit Furthermore, framework adopted dynamically extract high-quality fractions. Experimental results HSIs from three test sites around Nanyi Lake indicate that maps obtained IMOSWFM are closest reference compared with other SMA-based estimation methods, highest overall accuracy (OA) 91.74%, 93.12%, 89.73% terms pure lowest root-mean-square errors (RMSE) 0.2506, 0.2403, 0.2265 estimation. This research provides adapting

Language: Английский

Citations

1
Enhancing surface water mapping and monthly dynamics monitoring with a stepwise gap-filling method DOI Creative Commons
Zhongxiang Liu, Dejun Zhu, Lei Wang

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Oct. 16, 2024

Optical satellite imaging for surface water mapping often encounters significant challenges owing to persistent spatial data gaps caused by clouds, shadows, and sensor errors. This study presents a novel Stepwise Gap-Filling (SGF) method, designed enhance the monthly monitoring. The SGF method leverages temporal similarities correlations reconstruct gap pixels originally classified as invalid observations. We validated this approach against historical high-resolution Google Earth images from 2887 sample points in Siling Co Basin of Tibetan Plateau. results demonstrated substantial improvements accuracy, achieving an overall accuracy 98.93%, producer' 98.59%, user' 99.11%, markedly reducing uncertainties original dataset. Importantly, offers detailed insights into dynamics, which are closely aligned with annual trends. highlights effectiveness filling its potential widespread application monitoring management global resources.

Language: Английский

Citations

0