Results 171 to 180 of about 99,868 (318)

Projected Declining Cryospheric Meltwater and Its Impact on River Runoff Under Climate Change on the Interior Tibetan Plateau

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract The Source Region of the Yangtze River (SRYR), located on the hinterland of the Tibetan Plateau (TP), is significantly affected by cryospheric components such as snow, permafrost and glaciers. Nevertheless, there remains a lack of consensus regarding the contribution of cryospheric meltwater to river runoff and its potential changes in a ...
Han Cheng, Taihua Wang, Dawen Yang, Zikang Liao, Ruijie Shi   +4 more
wiley   +1 more source

Inverse Synthetic Aperture Radar

EURASIP Journal on Advances in Signal Processing, 2006
Chen Victor, Palmer James, Homer John, Littleton Brad, Martorella Marco, Berizzi Fabrizio, Longstaff Dennis   +6 more
doaj   +1 more source

Remote sensing of Earth terrain [PDF]

Remote sensing of earth terrain is examined. The layered random medium model is used to investigate the fully polarimetric scattering of electromagnetic waves from vegetation. The model is used to interpret the measured data for vegetation fields such as
Arnold, David V., Han, Hsiu C., Kong, Jin AU, Lim, Harold H., Nghiem, Son V., Shin, Robert T., Yueh, Herng-Aung   +6 more
core   +1 more source

Multi‐Sensor Airborne Remote Sensing for Calibrating Hydrodynamic and Sediment Transport Models in Coastal Louisiana Wetlands (Atchafalaya–Terrebonne)

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract This study integrates high resolution remote sensing data from NASA's Delta‐X mission with a process based hydrodynamic and sediment transport model to improve predictions of water levels and suspended sediment dynamics in the Mississippi River Delta, in coastal Louisiana, USA, focusing on Atchafalaya and Terrebonne basins.
Ali Reza Payandeh, Marc Simard, Cathleen E. Jones, Alexandra Christensen, Daniel Jensen, Michael Denbina, Talib Oliver‐Cabrera   +6 more
wiley   +1 more source

Compressive Learning for the Classification and Reconstruction of Synthetic Aperture Radar Data. [PDF]

Sensors (Basel)
Keymasi M, Ghozatlou O, Heredia Conde M, Datcu M.   +3 more
europepmc   +1 more source

Necessity to adapt land use and land cover classification systems to readily accept radar data [PDF]

A hierarchial, four level, standardized system for classifying land use/land cover primarily from remote-sensor data (USGS system) is described. The USGS system was developed for nonmicrowave imaging sensors such as camera systems and line scanners.
Drake, B.
core   +1 more source

Street‐to‐Pipe Diagnosis of Compound Rain–Tailwater Flooding in a Coastal Combined Sewer System: Sewer Pre‐Filling and Outfall Throttling

Earth's Future, Volume 14, Issue 4, April 2026.
Abstract Compound flooding in coastal cities occurs when heavy rainfall coincides with tide‐driven tailwater that reduces combined sewer system (CSS) discharge capacity, yet this coupling is rarely quantified from street to pipe scale. We develop a high‐resolution 1‐D/2‐D drainage–inundation model for Hoboken, New Jersey, calibrating the 1‐D drainage ...
Shihao Xi, Yao Hu
wiley   +1 more source

Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]

Sci Rep
Imani M.
europepmc   +1 more source

Wide area coverage radar imaging satellite for earth applications [PDF]

A preliminary study was made of a radar imaging satellite for earth applications. A side-looking synthetic-aperture radar was considered and the feasibility of obtaining a wide area coverage to reduce the time required to image a given area was ...
Ramler, J. R., Stevens, G. H.
core   +1 more source

Modeling Soil Organic Carbon Changes Using Signal‐To‐Noise Analysis: A Case Study Using European Soil Survey Datasets

Global Change Biology, Volume 32, Issue 4, April 2026.
This conceptual illustration underpins the Signal‐to‐Noise Ratio (SNR) framework proposed in the study to assess SOC change detectability using repeated Soil Organic Carbon (SOC) observations, Machine Learning and Earth Observation data. Using a simple simulated time series, the figure summarizes the two modelling approaches evaluated in this study ...
Xuemeng Tian, Sytze de Bruin, Florian Schneider, Martin Herold, Kirsten de Beurs   +4 more
wiley   +1 more source