This study evaluates temporal variability and algorithm differences in soil moisture estimates over Europe using the European Center for Medium-range Weather Forecasts (ECMWF) operational analysis and the passive Soil Moisture Active Passive (SMAP) soil ...
Lisa Jach +6 more
doaj +1 more source
Development of SMAP Mission Cal/Val Activities [PDF]
The Soil Moisture Active Passive (SMAP) mission is a NASA directed mission to map global land surface soil moisture and freeze-thaw state. Instrument and mission details are shown.
Kimball, J. +7 more
core
Evaluation of SMAP Level 2 Soil Moisture Algorithms Using SMOS Data [PDF]
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
Seasonal-scale intercomparison of SMAP and fused SMOS-SMAP soil moisture products
Two L-band passive microwave satellite sensors, onboard the Soil Moisture and Ocean Salinity (SMOS) launched in 2009 and Soil Moisture Active Passive (SMAP) launched in 2015, are specifically designed for surface soil moisture (SM) monitoring.
Liu, Yuqing +10 more
core +1 more source
SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture - Global [PDF]
This Level-2 (L2) soil moisture product provides estimates of land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m.
Jackson, Thomas J. +15 more
core
Characterizing Satellite Soil Moisture Drydown: A Bivariate Filtering Approach
Drying of soil impacts land energy and water balance, influences the sustainability of vegetation growth, and modulates hydrological extremes including floods.
Jhilam Sinha +3 more
doaj +1 more source
The Planned Soil Moisture Active Passive (SMAP) Mission L-Band Radar/Radiometer Instrument
The Soil Moisture Active/Passive (SMAP) mission is a NASA mission identified by the NRC 'decadal survey' to measure both soil moisture and freeze/thaw state from space.
Spencer, Michael +5 more
core
MTC-TCN-Attn: A TCN-Attention-Based Multi-Task Collaborative Prediction Method for Wheat Soil Moisture. [PDF]
Ning W, Gao J, Han T, Cong X, Song C.
europepmc +1 more source
A global dataset of land-atmosphere coupling metrics based on observations for evaluating Earth system models. [PDF]
Tavakoli N, Dirmeyer PA.
europepmc +1 more source
Urban soils along the Kern River and Los Gatos Creek are hotspots for <i>Coccidioides</i> in the San Joaquin Valley of California. [PDF]
Wagner R +4 more
europepmc +1 more source

