Results 71 to 80 of about 4,460 (223)

Advances in Assimilation of Satellite-Based Passive Microwave Observations for Soil-Moisture Estimation [PDF]

open access: yes, 2012
Satellite-based microwave measurements have long shown potential to provide global information about soil moisture. The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS, [1]) mission as well as the future National Aeronautics and Space ...
De Lannoy, Gabrielle J. M.   +5 more
core   +1 more source

Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics [PDF]

open access: yes, 2017
The Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture (L4_SM) product provides 3-hourly, 9-km resolution, global estimates of surface (0-5 cm) and root-zone (0-100 cm) soil moisture and related land surface variables from 31 March 2015 to
Ardizzone, Joseph V.   +15 more
core   +2 more sources

Continuous data assimilation for the Richards equation of unsaturated flow: A computational study

open access: yesVadose Zone Journal, Volume 25, Issue 2, March/April 2026.
Abstract Azouani–Olson–Titi data assimilation (often referred to as AOT, after its authors) is a computationally‐efficient algorithm that has been shown analytically and computationally to recover the true solution for a wide variety of regimes exponentially fast in time, in addition to being robust with respect to noisy data, stochastic forcing, and ...
Amanda Rowley   +2 more
wiley   +1 more source

Evaluation of the Bayesian Downscaling Algorithm for Achieving Higher Resolution Soil Moisture Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The NASA-launched Soil Moisture Active Passive satellite mission (SMAP) had the objective to globally characterize soil moisture with an intermediate resolution (9 km), through the integration of radar (3 km) and radiometer (36 km) observations. The SMAP
Xiaoling Wu, Jeffrey P. Walker, Nan Ye
doaj   +1 more source

Frozen Soil Hydrological Processes and Their Effects: A Review and Synthesis

open access: yesReviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract Frozen soils, including seasonally frozen ground and permafrost, are rapidly changing under a warming climate, with cascading effects on water, energy, and carbon cycles. We synthesize recent advances in the physics, observation, and modeling of frozen‐soil hydrology, emphasizing freeze–thaw dynamics, infiltration regimes and preferential flow,
Ying Zhao   +12 more
wiley   +1 more source

Meteorological to Agricultural Drought Transitions Compounded by Heat Waves in Historical and Future Climates

open access: yesWater Resources Research, Volume 62, Issue 3, March 2026.
Abstract Meteorological droughts (persistent precipitation deficits) often, but not always, transition into agricultural droughts (persistent soil moisture deficits). The intensity of agricultural drought, however, can vary for a given precipitation deficit due to a number of catalyzing co‐factors beyond precipitation such as atmospheric evaporative ...
Daniel J. Short Gianotti   +2 more
wiley   +1 more source

Rapid Flood Progress Monitoring in Cropland with NASA SMAP

open access: yesRemote Sensing, 2019
Research in different agricultural sectors, including in crop loss estimation during flood and yield estimation, substantially rely on inundation information. Spaceborne remote sensing has widely been used in the mapping and monitoring of floods. However,
Md. Shahinoor Rahman   +5 more
doaj   +1 more source

Evaluation of SMAP Level 2 Soil Moisture Algorithms Using SMOS Data [PDF]

open access: yes
The objectives of the SMAP (Soil Moisture Active Passive) mission are global measurements of soil moisture and land freeze/thaw state at 10 km and 3 km resolution, respectively.
Bindlish, Rajat   +9 more
core   +1 more source

Estimation of Indonesian Peat Forest Carbon Emissions Based on Soil Moisture Active Passive (SMAP) Satellite Image [PDF]

open access: yes, 2019
Calculation of carbon emission in tropical peatland forest still unsolved problem. In this paper, we propose a method to calculate carbon emission by using Soil Moisture Active Passive (SMAP) satellite.
Awaluddin, A. (A)   +1 more
core   +2 more sources

Quantifying Historical and Future Surface Soil Moisture Drying Using Deep Learning and Remote Sensing

open access: yesEarth's Future, Volume 14, Issue 3, March 2026.
Abstract Understanding historical and future surface soil moisture (SSM) drying is pivotal due to its close links with droughts, heatwaves, and wildfires, yet debates regarding its evolution persist. In this study, we leverage advanced deep learning techniques to fill gaps of remote sensing‐based SSM data during 1983–2020 and therefore use these gap ...
Yong Bo   +11 more
wiley   +1 more source

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