Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2373-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2373-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 May 2021
Research article |
| 06 May 2021
| 06 May 2021
A simple cloud-filling approach for remote sensing water cover assessments
Connor Mullen
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN 46556, USA
Gopal Penny
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN 46556, USA
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN 46556, USA
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Cited
30 citations as recorded by crossref.
- GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability Y. Song et al.
- Evaluating the Role of Conserved Lands in Supporting Wetland Hydrology in Working Agricultural Landscapes P. Joshi et al.
- Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series L. Lan et al.
- High-resolution daily reservoir area mapping from MODIS reflectance and Landsat occurrence via a segmentation-regression framework Z. Hao et al.
- Assessing the spatiotemporal dynamics of seasonal and perennial surface water resources across Lesotho’s agroecological zones K. Singh et al.
- TerrainFloodSense: Improving seamless flood mapping with cloudy satellite imagery via water occurrence and terrain data fusion Z. Li et al.
- High-resolution surface water dynamics in Earth’s small and medium-sized reservoirs G. Donchyts et al.
- Image similarity-based gap filling method can effectively enrich surface water mapping information W. Huang et al.
- Resolving data gaps in global surface water monthly records through a self-supervised deep learning strategy Z. Hao et al.
- Unveiling the hidden dynamics of intermittent surface water: A remote sensing framework Z. Xiao et al.
- Intra- and inter-annual spatiotemporal variations and climatic driving factors of surface water area in the Irtysh River Basin during 1985–2022 E. Zhu et al.
- Time-series surface water gap filling based on spatiotemporal neighbourhood similarity B. Bai et al.
- Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China L. Feng et al.
- Automated Hurricane Damage Classification for Sustainable Disaster Recovery Using 3D LiDAR and Machine Learning: A Post-Hurricane Michael Case Study J. Ndolo et al.
- High-Accuracy Mangrove Extraction and Degradation Diagnosis Using Time-Series Remote Sensing and Deep Learning: A Case Study of the Largest Delta in the Northern Beibu Gulf, China X. Xie et al.
- Multi-Feature Fusion and Cloud Restoration-Based Approach for Remote Sensing Extraction of Lake and Reservoir Water Bodies in Bijie City B. Xue et al.
- Integrating spatiotemporal similarity for robust gap-filling in continuous surface water mapping with uncertainty quantification Z. Xiao et al.
- chessQS: An efficient tile-based gap-filling method for large and complex remote sensing images L. Gerber et al.
- Surface water expansion due to increasing water demand on the Loess Plateau Y. Liu et al.
- “The key issue is a land question.” – Five decades of forest cover change in the Mount Elgon protected area system, Uganda M. von Kocemba et al.
- Remote sEnsing based multi-sensor Spatio-tEmporal fusion aided ReserVOIR MAPPing FramEwoRk (RESERVOIR MAPPER) S. Shekhar & R. Ramsankaran
- Flood Detection in Optical Systems: A Novel Approach to Overcome Cloud Cover With DEM Data A. Maia et al.
- Construction of a near-real-time long-term monthly water body dataset by fusing JRC MWH and Sentinel data and its application in reservoir dynamics monitoring Y. Qiu et al.
- Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images Z. Wang et al.
- Enhancing surface water mapping and monthly dynamics monitoring with a stepwise gap-filling method Z. Liu et al.
- From wetlands to wetlandscapes: Remote sensing calibration of process‐based hydrological models in heterogeneous landscapes C. Mullen et al.
- Beyond clouds: Seamless flood mapping using Harmonized Landsat and Sentinel-2 time series imagery and water occurrence data Z. Li et al.
- Catchment-scale thawing and greening decreases long-term nitrogen export in NE Greenland S. Speir et al.
- Mapping irrigation regimes in Chinese paddy lands through multi-source data assimilation Y. Wang et al.
- A novel framework for accurately quantifying wetland depression water storage capacity with coarse-resolution terrain data B. Hu et al.
30 citations as recorded by crossref.
- GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability Y. Song et al.
- Evaluating the Role of Conserved Lands in Supporting Wetland Hydrology in Working Agricultural Landscapes P. Joshi et al.
- Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series L. Lan et al.
- High-resolution daily reservoir area mapping from MODIS reflectance and Landsat occurrence via a segmentation-regression framework Z. Hao et al.
- Assessing the spatiotemporal dynamics of seasonal and perennial surface water resources across Lesotho’s agroecological zones K. Singh et al.
- TerrainFloodSense: Improving seamless flood mapping with cloudy satellite imagery via water occurrence and terrain data fusion Z. Li et al.
- High-resolution surface water dynamics in Earth’s small and medium-sized reservoirs G. Donchyts et al.
- Image similarity-based gap filling method can effectively enrich surface water mapping information W. Huang et al.
- Resolving data gaps in global surface water monthly records through a self-supervised deep learning strategy Z. Hao et al.
- Unveiling the hidden dynamics of intermittent surface water: A remote sensing framework Z. Xiao et al.
- Intra- and inter-annual spatiotemporal variations and climatic driving factors of surface water area in the Irtysh River Basin during 1985–2022 E. Zhu et al.
- Time-series surface water gap filling based on spatiotemporal neighbourhood similarity B. Bai et al.
- Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China L. Feng et al.
- Automated Hurricane Damage Classification for Sustainable Disaster Recovery Using 3D LiDAR and Machine Learning: A Post-Hurricane Michael Case Study J. Ndolo et al.
- High-Accuracy Mangrove Extraction and Degradation Diagnosis Using Time-Series Remote Sensing and Deep Learning: A Case Study of the Largest Delta in the Northern Beibu Gulf, China X. Xie et al.
- Multi-Feature Fusion and Cloud Restoration-Based Approach for Remote Sensing Extraction of Lake and Reservoir Water Bodies in Bijie City B. Xue et al.
- Integrating spatiotemporal similarity for robust gap-filling in continuous surface water mapping with uncertainty quantification Z. Xiao et al.
- chessQS: An efficient tile-based gap-filling method for large and complex remote sensing images L. Gerber et al.
- Surface water expansion due to increasing water demand on the Loess Plateau Y. Liu et al.
- “The key issue is a land question.” – Five decades of forest cover change in the Mount Elgon protected area system, Uganda M. von Kocemba et al.
- Remote sEnsing based multi-sensor Spatio-tEmporal fusion aided ReserVOIR MAPPing FramEwoRk (RESERVOIR MAPPER) S. Shekhar & R. Ramsankaran
- Flood Detection in Optical Systems: A Novel Approach to Overcome Cloud Cover With DEM Data A. Maia et al.
- Construction of a near-real-time long-term monthly water body dataset by fusing JRC MWH and Sentinel data and its application in reservoir dynamics monitoring Y. Qiu et al.
- Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images Z. Wang et al.
- Enhancing surface water mapping and monthly dynamics monitoring with a stepwise gap-filling method Z. Liu et al.
- From wetlands to wetlandscapes: Remote sensing calibration of process‐based hydrological models in heterogeneous landscapes C. Mullen et al.
- Beyond clouds: Seamless flood mapping using Harmonized Landsat and Sentinel-2 time series imagery and water occurrence data Z. Li et al.
- Catchment-scale thawing and greening decreases long-term nitrogen export in NE Greenland S. Speir et al.
- Mapping irrigation regimes in Chinese paddy lands through multi-source data assimilation Y. Wang et al.
- A novel framework for accurately quantifying wetland depression water storage capacity with coarse-resolution terrain data B. Hu et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
The level of lake water is rapidly changing globally, and long-term, consistent observations of lake water extents are essential for ascertaining and attributing these changes. These data are rarely collected and challenging to obtain from satellite imagery. The proposed method addresses these challenges without any local data, and it was successfully validated against lakes with and without ground data. The algorithm is a valuable tool for the reliable historical water extent of changing lakes.
The level of lake water is rapidly changing globally, and long-term, consistent observations of...
