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Conference Open access Sep 2026

Machine Learning-Based Paddy Field Mapping During Aman Season in Bangladesh Using Sentinel-1 SAR Data

Bangladesh’s food security is closely tied to rice production. Conventional field-based surveys are labor-intensive, time-consuming, and spatially limited, whereas remote sensing provides a more efficient alternative. In Bangladesh, Aman season (July–December) representing the highest production period, particularly in...

Mimoudi Aziz, S. Khairunniza-Bejo, H. Shafri · 0 citations
Open access Sep 2026

Daily Lake-Surface NDVI Reconstruction Using Multi-Source Machine Learning Under Incomplete Optical Observations

Accurate and continuous monitoring of cyanobacterial blooms is essential for lake ecosystem management, but optical remote-sensing observations are frequently limited by cloud contamination and illumination conditions. To address this limitation, this study proposes a multi-source machine learning framework for daily l...

Hong-Ying Li, Qing-Yun Yan, Yuan-Jin Pan et al. · 0 citations
Open access Sep 2026

Machine Learning-Based Reconstruction of Missing Meteorological Observations Using Reanalysis and Satellite Data in West Africa

High-frequency meteorological observations from automatic weather stations (AWS) are frequently affected by substantial data gaps in data-sparse regions such as West Africa, limiting their usability for climate analysis and decision-making. This study presents a machine learning-based framework for reconstructing missi...

Marcel Jocelyn Wendemi Michaelange Toe, B. Diallo, Adeshina Kamil Sanoussi et al. · 0 citations
2026

Daily Reservoir Water Level Reconstruction Under Sparse Observations Using Multisource Remote Sensing With Deep Learning and Data Assimilation

Daily reservoir water level reconstruction remains challenging when satellite observations are sparse and temporally irregular. This study proposes a framework integrating multisource remote sensing, gated recurrent unit (GRU) priors, and ensemble Kalman filtering/smoothing (EnKF/EnKS), using the Fengtan Reservoir as a...

Hai-Rong Zhang, Ming-Yang Zhang, Hong-Wei Zhang et al. · 0 citations
Open access Sep 2026

A Time-Series Surface Displacement Dataset for the Geumgwang Reservoir Using Sentinel-1 SAR Observations

Reservoir-related disasters have become increasingly frequent in recent years due to abnormal climate phenomena, including heavy rainfall and droughts, driven by rapid climate change. As similar risks are also rising in South Korea, time-series observations were conducted in areas surrounding reservoirs using Synthetic...

Jin-Uk Go, Yeojin Kim, Sang-Hoon Hong et al. · 0 citations
Open access 2026

Multisource Data Fusion for Snowmelt Runoff Onset Date Estimation in Forested Areas

Accurate estimation of the runoff onset date (ROD) is critical for water resource management and the assessment of snowmelt-related hazards. Currently, remote sensing retrieval of ROD primarily relies on the backscatter of synthetic aperture radar (SAR). However, when using SAR data for ROD estimation in forested areas...

Zhi-Wei Li, Yan-Fei Niu, Ling-Mei Jiang et al. · 0 citations

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