Results 171 to 180 of about 11,816,270 (250)

Depositional and Hydrological Relationships Between Buried Dead Ice and the Active Layer in the McMurdo Dry Valleys, Antarctica: A Study of Sediment Geochemistry and Cation Concentrations

Permafrost and Periglacial Processes, Volume 37, Issue 4, Page 725-752, October/December 2026.
ABSTRACT The McMurdo Dry Valleys, the largest ice‐free region in Antarctica, are home to a cold‐desert hydrologic system of glaciers, snowbanks, streams, and lakes. Freshwater is also stored as dead glacial ice, which is poorly constrained in terms of ion concentrations and interactions with both in situ and overlying sediments.
Matthew C. Witscheber, Kate M. Swanger
wiley   +1 more source

Satellite observations reveal widespread alteration of river thermal regimes by US dams. [PDF]

Sci Adv
Ellis EA, Allen GH, Torgersen CE, McQuillan KA.   +3 more
europepmc   +1 more source

Quantification of flash flood peaks using computer simulation for potential hill torrents of Pakistan: A modeling study

River, Volume 5, Issue 3, Page 432-452, August 2026.
Abstract This study investigates rainfall runoff behavior of five major torrential Nullahs' of Dera Ghazi Khan (D. G. Khan) for flash flood events. The integration, and fusion of satellite‐based meteorological, topographical, and pedo‐transferred function's (PTF) derived soil hydraulic datasets at 250 m grid size substantially proves a viable approach ...
Bilal A. Munir, Sidra Hafeez, Muhammad Yasir, Raja Rehan, Muhammad A. Javed   +4 more
wiley   +1 more source

Integrated hydrologic and hydrodynamic modeling for flood hazard assessment in Ajay River Basin, West Bengal, India

River, Volume 5, Issue 3, Page 465-483, August 2026.
Abstract The Ajay River, originating from the Chotanagpur Plateau (Bihar) and flowing through Jharkhand into West Bengal before merging with the Bhagirathi‐Hugli near Katwa, is among the most flood‐prone rivers in the region. Its lower reaches frequently experience rainfall‐induced flooding and embankment breaches during the mid‐ to late‐monsoon season.
Shanku Ghosh, C. Prakasam
wiley   +1 more source

Analyzing the spatiotemporal dynamics of land use land cover change and its effects on land surface temperature in Weyib watershed, South Eastern Ethiopia. [PDF]

Sci Rep
Dararo KF, Tiye FS, Geleto DL.
europepmc   +1 more source

Modification of the Madeira River morphology following large hydropower projects detected by satellite data

River, Volume 5, Issue 3, Page 369-387, August 2026.
Abstract Estimating suspended sediment concentration (SSC) in river channels is essential for understanding hydro‐sedimentological processes, managing water quality, and conserving aquatic ecosystems. This study evaluated different empirical equations to estimate SSC in the lower Madeira River and analyzed its hydro‐sedimentary dynamics based on MODIS ...
Matheus Silveira de Queiroz, Rogério Ribeiro Marinho, Paulo Rodrigo Zanin, Andre Luis Martinelli Real dos Santos, Jean‐Michel Martinez, Naziano Pantoja Filizola Junior   +5 more
wiley   +1 more source

Mapping peak flowering phenology of rapeseed (Brassica napus) in North Dakota using Landsat 8 and Sentinel-2. [PDF]

Sci Rep
Rahimi E, Jung C.
europepmc   +1 more source

A review of the research and advancements in MSDF monitoring for the remote sensing of soil and water conservation in China

River, Volume 5, Issue 3, Page 351-368, August 2026.
Abstract With the advancement of remote sensing technology, the accuracy of satellite remote sensing data has continuously improved, and the precision of large‐scale soil and water conservation monitoring has steadily increased. However, owing to differences in sensor acquisition and processing methods, monitoring data obtained through various ...
Wenxiang Liu, Shaohua Lei, Jinsong Shi, Kun Sun, Qiu Jin   +4 more
wiley   +1 more source

A multi-source remote sensing dataset for large-scale forest monitoring. [PDF]

Data Brief
D'Amico G, Botticelli D, Marcelli G, Mattioli W, Chirici G, Vangi E, Borghi C, Corona P, Schumacher J, Breidenbach J, Su Y, Mehtätalo L, Francini S.   +12 more
europepmc   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, Volume 34, Issue 6, Page 8559-8578, October 2026.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source