Results 51 to 60 of about 1,110 (203)

Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data

Remote Sensing, 2017
The Soil Moisture Active Passive (SMAP) satellite makes coincident global measurements of soil moisture using an L-band radar instrument and an L-band radiometer.
Yayong Sun, Shifeng Huang, Jianwei Ma, Jiren Li, Xiaotao Li, Hui Wang, Sheng Chen, Wenbin Zang   +7 more
doaj   +1 more source

Dynamics off the Congo River and Its Impact on the Water Exchange Between the Coastal and Open Ocean at Different Timescales

Journal of Geophysical Research: Oceans, Volume 131, Issue 6, June 2026.
Abstract The Congo River represents one of the largest freshwater discharges in the Atlantic Ocean. In this study, we investigate the role of mesoscale and submesoscale dynamics in modulating salinity transport, using a 3 km‐resolution realistic numerical simulation.
C. Cardot, I. Dadou, D. C. Napolitano, H. M. A. Aguedjou, R. Ngakala, Y. Morel, G. Morvan, G. Alory, C. Le Goff, G. Jan, J. Jouanno   +10 more
wiley   +1 more source

Reconstruction of a Global 9 km, 8-Day SMAP Surface Soil Moisture Dataset during 2015–2020 by Spatiotemporal Fusion

Journal of Remote Sensing, 2022
Soil moisture, a crucial property for Earth surface research, has been focused widely in various studies. The Soil Moisture Active Passive (SMAP) global products at 36 km and 9 km (called P36 and AP9 in this research) have been published from April 2015.
Haoxuan Yang, Qunming Wang, Wei Zhao, Xiaohua Tong, Peter M. Atkinson   +4 more
doaj   +1 more source

A Global, Daily Carbon Budget for Terrestrial Ecosystems Constrained by Satellite Observations of Soil Moisture: The SMAP Level 4 Carbon Product at Ten Years

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 6, June 2026.
Abstract The capacity of terrestrial ecosystems to retain carbon or sequester more atmospheric carbon is frequently investigated as a potential natural climate solution. However, global carbon inventories, national carbon assessments, and atmospheric inversion studies suffer from key limitations: infrequent estimates, low spatial resolution, or a lack ...
K. Arthur Endsley, John S. Kimball, Rolf H. Reichle, Joseph V. Ardizzone, Tobias Kundig, Thomas Colligan, Jens Heinke, Etsushi Kato, Jürgen Knauer, Lei Ma, Tobias Nützel, Qing Sun, Wenping Yuan   +12 more
wiley   +1 more source

Improving Global Surface Soil Moisture Prediction Through Physics‐Guided Deep Learning and Cluster‐Based Regionalization

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Surface soil moisture (SSM) is essential to the hydrological cycle and land–atmosphere interactions, and its accurate simulation is crucial for climate prediction and resource management. This study developed an innovative modeling framework for global SSM prediction by integrating physics‐guided deep learning (PGDL) and clustering‐based ...
Xuan Xi, Qianlai Zhuang
wiley   +1 more source

History Matching of Soil Moisture and Evapotranspiration Over Europe Using Iterative Ensemble Smoothers

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract Land surface models are crucial components within earth system models, simulating the exchanges of water, energy, carbon, and nitrogen between the land surface, atmosphere, and subsurface. One challenge is the large number of uncertain parameters in these models.
Mikael L. A. Kaandorp, Haojin Zhao, Christian Poppe Terán, Carl Hartick, Paul Rigor, Harrie‐Jan Hendricks Franssen   +5 more
wiley   +1 more source

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

The 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

Remote 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, Long Zhao, Kun Yang, Lisheng Song, Xiang Ni, Xujun Han, Mingguo Ma, Lei Fan   +7 more
doaj   +1 more source

Development of SMAP (soil moisture active and passive) Freeze/Thaw algorithms adapted for the Canadian Tundra [PDF]

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
This study is conducted in the framework of the NASA SMAP mission. The frozen soil mapping would certainly be improved by using the future NASA SMAP instruments which include both a Radiometer and a SAR operating at L-band. SMAP will have the ability to sense the soil conditions through moderate land cover.
Kalantari, Parvin, Bernier, Monique, McDonald, Kyle, Poulin, Jimmy   +3 more
openaire   +2 more sources

Understanding the Influence of Soil Moisture on Machine Learning Predictions of Photosynthesis and Evapotranspiration

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Evapotranspiration (ET) and photosynthesis are key processes in ecosystem functioning on which soil moisture (SM) has an important influence. Eddy covariance measurements and machine learning (ML) increasingly enable flux prediction in ungauged regions.
Daniel Power, Miguel Angel Rico‐Ramirez, Pierre Gentine, David McJannet, Martin Schrön, Corinna Rebmann, Humberto da Rocha, Rafael Rosolem   +7 more
wiley   +1 more source