Results 241 to 250 of about 5,227,350 (303)
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Precipitation and hydrological processes fundamentally reshape aquatic physicochemical properties and biological interactions, thereby regulating lake metabolism and carbon (C) dynamics. This study integrated 5 years of field data with machine learning to estimate 30 years of ecosystem metabolic rates (gross primary production [GPP], ecosystem
Junjie Jia +4 more
wiley +1 more source
Evaluation of Machine Learning Algorithms for Surface Water Extraction in a Landsat 8 Scene of Nepal. [PDF]
Sensors (Basel), 2019 Acharya TD, Subedi A, Lee DH.
europepmc +1 more source
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Satellite remote sensing is widely used to monitor lake surface water temperature (LSWT) due to its global coverage and relatively long‐term record. A common practice in previous studies is to exclude observations during cloudy periods, as most satellite‐based LSWT products rely on optical sensors that cannot penetrate cloud cover.
Xinchen He +2 more
wiley +1 more source
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Compound flooding involves the interaction of multiple flood processes (e.g., coastal, fluvial, and pluvial) and is modulated by several factors (e.g., weather, climate, topobathy, morphology, time‐lag). In tropical and subtropical regions globally, Tropical Cyclones (TCs) are a primary cause of compound flooding as they generate substantial ...
Joshua Green +10 more
wiley +1 more source
Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images. [PDF]
Sensors (Basel), 2019 Wang L, Lu Y, Yao Y.
europepmc +1 more source
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract River corridors are essential to life, but have been subjected to centuries of alteration, disconnection, and simplification. Process‐based river restoration has increased in recent years, with the goals of reversing degradation and reestablishing natural processes. Our objectives are twofold: (a) qualify the historic, ecologic, and geomorphic
Emily Iskin +3 more
wiley +1 more source
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Remote sensing imagery is widely utilized for mapping flood extents. However, sensor limitations and environmental conditions often reduce mapping capability. Factors such as obscuring clouds, terrain shadows, and dense tree canopies frequently lead to significant information gaps and omission errors, particularly in forests and urban areas ...
D. Tian +4 more
wiley +1 more source
Structural Recovery of Overlooked Shrublands Drives Asymmetric Restoration in Dryland Ecosystems
Earth's Future, Volume 14, Issue 6, June 2026.Abstract Current remote sensing of dryland ecosystems is fundamentally limited by a reliance on vegetation indices (“greenness”), which struggle to disentangle mixed pixel signals and fail to capture the non‐photosynthetic structural components critical for resilience.
Xin Lin +7 more
wiley +1 more source
A Machine Learning Approach for Volcanic Eruption Mass Estimation
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Estimation of total volcanic erupted mass—the primary metric of eruption magnitude—is typically performed post‐eruption relying on dense monitoring of ground‐based seismology, gravity and deformation instrumentation, and therefore exists for only ∼100 of ∼1280 volcanoes worldwide.
Naeim Mousavi +2 more
wiley +1 more source
Modeling Length Adjustment in Alluvial Anabranching Units
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Anabranching units form when the stream flow divides into two channels that reconnect downstream. Recent observations indicate that these patterns tend to develop fairly regular planforms, characterized by an average length that scales with reach‐averaged channel geometry and by weak asymmetry between the anabranches.
Niccolò Ragno, Marco Tubino
wiley +1 more source