Results 61 to 70 of about 1,110 (203)

Spatial downscaling of SMAP radiometer soil moisture using radar data: Application of machine learning to the SMAPEx and SMAPVEX campaigns

Science of Remote Sensing
This study developed a random forest approach for downscaling the coarse-resolution (36 km) soil moisture measured by The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) mission to 1 km spatial resolution ...
Elaheh Ghafari, Jeffrey P. Walker, Liujun Zhu, Andreas Colliander, Alireza Faridhosseini   +4 more
doaj   +1 more source

Performance of five common soil moisture sensors using default calibration equations in low‐salinity conditions

Vadose Zone Journal, Volume 25, Issue 3, May/June 2026.
Abstract Soil moisture monitoring plays a critical role in water resource management, hydrological modeling, and climate studies, making sensor accuracy and reliability increasingly important. This study evaluates the performance of five soil moisture sensors—the CS655, HydraProbe, TDR‐315N, TEROS 12, and ThetaProbe—using their default calibrations ...
Seyed Ali Azizi, Briana M. Wyatt, Andres Patrignani, Tyson E. Ochsner, Michael Cosh   +4 more
wiley   +1 more source

Evaluating the Operational Application of SMAP for Global Agricultural Drought Monitoring

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Over the past two decades, remote sensing has made possible the routine global monitoring of surface soil moisture. Regional agricultural drought monitoring is one of the most logical application areas for such monitoring.
Iliana E. Mladenova, John D. Bolten, Wade T. Crow, Nazmus Sazib, Michael H. Cosh, Compton J. Tucker, Curt Reynolds   +6 more
doaj   +1 more source

Assimilating satellite-based soil moisture observations in a land surface model: The effect of spatial resolution

Journal of Hydrology X, 2021
This article focuses on developing a data assimilation system that combines the modeled surface moisture estimates and satellite observations. Specifically, model states simulated by the Noah-MP land surface model are updated using an Ensemble Kalman ...
Tasnuva Rouf, Manuela Girotto, Paul Houser, Viviana Maggioni   +3 more
doaj   +1 more source

minimizing estimation error variance using a weighted sum of samples from the soil moisture active passive (SMAP) satellite [PDF]

, 2023
Mohammad Koosha, Nicholas Mastronarde
openalex   +1 more source

Roadmap for leveraging satellite data to advance soil moisture monitoring in Mainland Southeast Asia

Vadose Zone Journal, Volume 25, Issue 3, May/June 2026.
Abstract Soil moisture monitoring is vital for Mainland Southeast Asia (MSEA), a region that plays a pivotal role in global agricultural production. Strong reliance on rain‐fed agriculture, combined with frequent hydroclimatic extremes, makes MSEA one of the world's most climate‐sensitive regions.
G. A. Chinthaka Ganepola, Natthachet Tangdamrongsub, Kritanai Torsri, Apiniti Jotisankasa, Chinaporn Meechaiya, Simon Yueh, Jianzhi Dong, Indishe P. Senanayake   +7 more
wiley   +1 more source

Use of Satellite Soil Moisture to Diagnose Climate Model Representations of European Soil Moisture‐Air Temperature Coupling Strength

Geophysical Research Letters, 2018
Soil moisture‐air temperature coupling (SMTC) strength affects European summer air temperature variability. However, due to a lack of spatially extensive ground‐based soil moisture observations, General Circulation Model predictions of European‐mean SMTC
Jianzhi Dong, Wade T. Crow
doaj   +1 more source

Observation and Coordination Needs for Current, Near‐Future, and Next Generation Earth‐Observing SAR Systems

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract This paper summarizes an evaluation by experts of how coordination of Earth‐observing Synthetic Aperture Radar (SAR) missions among the world's space agencies could advance toward game‐changing scientific discoveries and fully realizing SAR's practical capability to address many issues facing society.
Cathleen E. Jones, Ake Rosenqvist, Björn Rommen, Magdalena Fitrzyk, Eric Rignot, Bernd Scheuchl, Yujie Zheng, Andrew Hooper, Mark Simons, Tomokazu Kobayashi, Paul Siqueira, Maurizio Santoro, Takeo Tadono, Laura Hess, Heather McNairn, Laura Frulla, Malin Johansson, Wolfgang Dierking, Line Rouyet, Annett Bartsch, Paco Lopez Dekker, Johnny A. Johannessen   +21 more
wiley   +1 more source

Data Assimilation to Extract Soil Moisture Information from SMAP Observations

Remote Sensing, 2017
This study compares different methods to extract soil moisture information through the assimilation of Soil Moisture Active Passive (SMAP) observations.
Jana Kolassa, Rolf H. Reichle, Qing Liu, Michael Cosh, David D. Bosch, Todd G. Caldwell, Andreas Colliander, Chandra Holifield Collins, Thomas J. Jackson, Stan J. Livingston, Mahta Moghaddam, Patrick J. Starks   +11 more
doaj   +1 more source

Tracking Water Dynamics of a Temperate Forest Under Drought and Non‐Drought Conditions Using Active and Passive Microwave and Optical Remote Sensing

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.
Abstract Water status, water dynamics, and ecohydrological resilience of a protected German beech forest during the 2018–2020 multi‐year drought are assessed using over six years of multi‐frequency remote sensing data, integrating active, passive, and optical sensors with varying canopy penetration depths, highlighting the importance of monitoring ...
Florian M. Hellwig, Anke Fluhrer, Clémence Dubois, Konstantin Schellenberg, David Chaparro, Markus Zehner, Anne Klosterhalfen, María Piles, Christiane Schmullius, Harald Kunstmann, Thomas Jagdhuber   +10 more
wiley   +1 more source