Results 61 to 70 of about 5,604,864 (173)

Soil Moisture Active/Passive (SMAP) Level 4 Carbon (L4C) Nature Run version 7.2

open access: yes, 2020
The Soil Moisture Active/ Passive (SMAP) Level 4 Carbon (L4C) product is a daily, global, terrestrial carbon budget driven, in part, by soil moisture estimates from the Level 4 Soil Moisture (L4SM) product and, in turn, on brightness temperature ...
K. Arthur Endsley   +2 more
core   +1 more source

INVESTIGATING THE POSSIBILITY OF PREPARING SMALL SCALE SOIL MOISTURE MAP FROM COUPLED SENTINEL-1 AND SENTINEL-2 DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
With the failure of the radar instrument on NASA's Soil Moisture Active Passive (SMAP) satellite, the Sentinel-1 sensor has been considered as an alternative for replacing the SMAP radar data and restoring the combined radar and radiometer SMC product. A
R. Attarzadeh, J. Amini
doaj   +1 more source

Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau

open access: yesRemote Sensing, 2023
SM2RAIN is a well-established methodology for estimating precipitation from satellite or observed soil moisture and it has been applied as a complementary approach to conventional precipitation monitoring methods.
Ke Zhang   +7 more
doaj   +1 more source

Simulated Soil Moisture Active Passive (SMAP) Sea surface Salinity

open access: yes
Simulated L2 and L3 Soil Moisture Active Passive (SMAP) Sea surface Salinity ...
Westbrook, Elizabeth   +8 more
core   +1 more source

Soil Moisture Active Passive (SMAP) Mission Level 4 Surface and Root Zone Soil Moisture (L4_SM) Product Specification Document [PDF]

open access: yes, 2018
This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project.
Lucchesi, Robert A.   +5 more
core  

Evaluating the Operational Application of SMAP for Global Agricultural Drought Monitoring

open access: yesIEEE 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   +6 more
doaj   +1 more source

Open Ocean Biogeochemical Impacts of Extreme Terrestrial Precipitation

open access: yesGeophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract Extreme events reshape ocean ecosystems with significant implications for nutrient and carbon cycling. Here, we demonstrate that flooding on land can be a significant driver of biogeochemical variability in the open ocean, even in relatively dry climates.
Shailja Gangrade   +9 more
wiley   +1 more source

Soil Moisture Active Passive (SMAP) Mission Level 4 Carbon (L4_C) Product Specification Document [PDF]

open access: yes, 2015
This is the Product Specification Document (PSD) for Level 4 Surface and Root Zone Soil Moisture (L4_SM) data for the Science Data System (SDS) of the Soil Moisture Active Passive (SMAP) project.
Lucchesi, Robert A.   +8 more
core  

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

open access: yesGeophysical 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

Improving Land Surface Model Soil Moisture Estimates Through Joint State‐Parameter Assimilation of In Situ Soil Moisture Observations

open access: yesMeteorological Applications, Volume 33, Issue 5, September/October 2026.
This study presents the first application of joint state‐parameter assimilation on the JULES land surface model, ingesting field‐scale COSMOS‐UK soil moisture observations using an En‐Var hybrid technique. Results showed that jointly updating PTF constants and initial soil moisture conditions yielded superior forecasts compared to updating either ...
Ramesh Visweshwaran   +2 more
wiley   +1 more source

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