Results 11 to 20 of about 19,071 (245)

Assessing the Potential of Combined SMAP and In-Situ Soil Moisture for Improving Streamflow Forecast

open access: yesHydrology, 2023
Soil moisture is an essential hydrological variable for a suite of hydrological applications. Its spatio-temporal variability can be estimated using satellite remote sensing (e.g., SMOS and SMAP) and in-situ measurements.
Shimelis Asfaw Wakigari, Robert Leconte
doaj   +2 more sources

Evaluation of SMAP Freeze/Thaw Retrieval Accuracy at Core Validation Sites in the Contiguous United States [PDF]

open access: yesRemote Sensing, 2018
Seasonal freeze-thaw (FT) impacts much of the northern hemisphere and is an important control on its water, energy, and carbon cycle. Although FT in natural environments extends south of 45°N, FT studies using the L-band have so far been restricted ...
Simon Kraatz   +7 more
doaj   +3 more sources

Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS Soil Moisture

open access: yesRemote Sensing
Soil moisture data with both a fine spatial scale and a short global repeat period would benefit many hydrologic and climatic applications. Since the radar transmitter malfunctioned on NASA’s Soil Moisture Active Passive (SMAP) in 2015, SMAP soil ...
Liza J. Wernicke   +2 more
doaj   +2 more sources

The first polarimetric GNSS-Reflectometer instrument in space improves the SMAP mission’s sensitivity over densely vegetated areas

open access: yesScientific Reports, 2023
The Soil Moisture Active Passive (SMAP) mission has dramatically benefited our knowledge of the Earth’s surface processes. The SMAP mission was initially designed to provide complementary L-band measurements from a radiometer and a radar, producing ...
Nereida Rodriguez-Alvarez   +5 more
doaj   +2 more sources

Integration of Sentinel-1A Radar and SMAP Radiometer for Soil Moisture Retrieval over Vegetated Areas

open access: yesSensors
NASA’s Soil Moisture Active Passive (SMAP) was originally designed to combine high-resolution active (radar) and coarse-resolution but highly sensitive passive (radiometer) L-band observations to achieve unprecedented spatial resolution and accuracy for ...
Saeed Arab, Greg Easson, Zahra Ghaffari
doaj   +2 more sources

Seasonal-scale intercomparison of SMAP and fused SMOS-SMAP soil moisture products

open access: yesFrontiers in Remote Sensing
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. The first global continuous fused L-band satellite SM product based on SMOS and SMAP observations (SMOS-SMAP ...
Zanpin Xing   +13 more
openaire   +5 more sources

Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China

open access: yesRemote Sensing, 2023
High-resolution soil moisture (SM) information is essential for regional to global hydrological and agricultural applications. The Soil Moisture Active Passive (SMAP) offers daily global composites of SM at coarse-resolution 9 and 36 km, with data gaps ...
Adeel Ahmad Nadeem   +7 more
semanticscholar   +1 more source

Validation of Soil Moisture Data Products From the NASA SMAP Mission

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission has been validating its soil moisture (SM) products since the start of data production on March 31, 2015. Prior to launch, the mission defined a set of criteria
A. Colliander   +47 more
semanticscholar   +1 more source

sMAP

open access: yesProceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2010
We present the architecture, specification, and implementations of a simple monitoring and action profile (sMAP), optimized for sensors, meters, and actuators in building environments. Our architecture is built on HTTP/REST and uses JSON as the object format for interoperability.
Xiaofan Jiang   +2 more
openaire   +3 more sources

Estimating Gravimetric Water Content of a Winter Wheat Field from L-Band Vegetation Optical Depth

open access: yesRemote Sensing, 2019
A considerable amount of water is stored in vegetation, especially in regions with high precipitation rates. Knowledge of the vegetation water status is essential to monitor changes in ecosystem health and to assess the vegetation influence on the water ...
Thomas Meyer   +6 more
doaj   +1 more source

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