Results 71 to 80 of about 946 (177)

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

Quasi-SMAP: A SMAP-Referenced Long-Term Daily Surface Soil Moisture Record From 1981 to 2022

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Long-term daily surface soil moisture records are important for hydrological, ecological, and drought-related applications. However, existing satellite soil moisture products still face a tradeoff among temporal length, daily spatial continuity, and ...
Yunjia Wang, Hao Sun, Jinhua Gao
doaj   +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

The Evaluation of SMAP Enhanced Soil Moisture Products Using High-Resolution Model Simulations and In-Situ Observations on the Tibetan Plateau

Remote Sensing, 2018
The Soil Moisture Active Passive (SMAP) mission was designed to provide a global mapping of soil moisture (SM) measured by L-band passive and active microwave sensors.
Chengwei Li, Hui Lu, Kun Yang, Menglei Han, Jonathon S. Wright, Yingying Chen, Le Yu, Shiming Xu, Xiaomeng Huang, Wei Gong   +9 more
doaj   +1 more source

Comprehensive Analysis of CYGNSS GNSS-R Data for Enhanced Soil Moisture Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soil moisture, an essential climate variable, is traditionally retrieved on large scales using passive or active microwave sensors, with temporal resolution of 2–3 days and no less than 6 days, respectively.
Paulo Setti, Sajad Tabibi
doaj   +1 more source

NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on SMAPEx-4/5 in Southeastern Australia

Remote Sensing, 2017
To meet the demand of regional hydrological and agricultural applications, a new method named near infrared-red (NIR-red) spectra-based disaggregation (NRSD) was proposed to perform a disaggregation of Soil Moisture Active Passive (SMAP) products from 36
Nengcheng Chen, Yuqi He, Xiang Zhang
doaj   +1 more source

A seamless global daily soil moisture dataset (2010–2015) harmonized from SMOS observations and SMAP-era assimilation modeling

International Journal of Digital Earth
The consecutive Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) satellite missions have enhanced global L-band soil moisture monitoring.
Xiaoyi Wang, Haishen Lü, Sidong Zeng, Gerald A Corzo Perez, Qiqi Gou, Linhan Yang, Yongyue Ji, Yiling Yao, Jianbin Su   +8 more
doaj   +1 more source

Multi-temporal catchment and wetland scale soil moisture and vegetation analysis in Shashe, Tugwi and Zibagwe sub-catchments of Zimbabwe

Geocarto International
We utilized Sentinel-1 Synthetic Aperture Radar (SAR) surface soil moisture, Sentinel-2 L1C-derived Enhanced Vegetation Index (EVI), and Soil Moisture Active Passive (SMAP) surface and root zone soil moisture data to assess soil moisture dynamics and ...
Oshneck Mupepi, Thomas Marambanyika, Mark Makomborero Matsa, Timothy Dube   +3 more
doaj   +1 more source

Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics

Hydrology and Earth System Sciences
Abstract. Advances in satellite Earth observation have opened up new opportunities for global monitoring of soil moisture (SM) at fine to medium resolution, but satellite remote sensing can only measure the near-surface soil moisture (SSM). As such, it is critically important to examine the potential of satellite SSM measurements to derive the water ...
A. K. Nayak, X. Xu, X. Xu, S. K. Frey, S. K. Frey, O. Khader, O. Khader, A. R. Erler, D. R. Lapen, H. A. J. Russell, E. A. Sudicky, E. A. Sudicky   +11 more
openaire   +3 more sources

Comparing Temporal Dynamics of Soil Moisture from Remote Sensing, Modeling, and Field Observations Across Europe

Remote Sensing
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, Anke Fluhrer, Hans-Stefan Bauer, David Chaparro, Florian M. Hellwig, Gerard Portal, Thomas Jagdhuber   +6 more
doaj   +1 more source