SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 [PDF]
Earth System Science Data, 2022 The drawbacks of low-coverage rate in global land inevitably exist in satellite-based daily soil moisture products because of the satellite orbit covering scopes and the limitations of soil moisture retrieving models.
Q. Zhang +4 more
doaj +5 more sources
Spatial Evaluation of Soil Moisture (SM), Land Surface Temperature (LST), and LST-Derived SM Indexes Dynamics during SMAPVEX12. [PDF]
Sensors (Basel), 2019 Downscaling microwave soil moisture (SM) with optical/thermal remote sensing data has considerable application potential. Spatial correlations between SM and land surface temperature (LST) or LST-derived SM indexes (SMIs) are vital to the current optical/thermal and microwave fusion downscaling methods.
Sun H, Zhou B, Liu H.
europepmc +7 more sources
Downscaling Microwave Soil Moisture Products with SM-RDNet for Semiarid Mining Areas [PDF]
Water, 2022 Surface soil moisture (SM), as a crucial ecological element, is significant to monitor in semiarid mining areas characterized by aridity and little rainfall. The passive microwave remote sensing, which is not affected by weather, provides more accurate SM information, but the resolution is too coarse for mining areas. The existing downscaling method is
Xiao Sang +6 more
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Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019 [PDF]
Earth System Science Data, 2021 Abstract. High quality and long-term soil moisture productions are significant for hydrologic monitoring and agricultural management. However, the acquired daily soil moisture productions are incomplete in global land (just about 30 %∼80 % coverage ratio), due to the satellite orbit coverage and the limitations of soil moisture retrieving algorithms ...
Qiang Zhang +5 more
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New Downscaling Approach Using ESA CCI SM Products for Obtaining High Resolution Surface Soil Moisture [PDF]
Remote Sensing, 2020 ESA CCI SM products have provided remotely-sensed surface soil moisture (SSM) content with the best spatial and temporal coverage thus far, although its output spatial resolution of 25 km is too coarse for many regional and local applications. The downscaling methodology presented in this paper improves ESA CCI SM spatial resolution to 1 km using two ...
Jovan Kovačević +4 more
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Estimation and Validation Study of Soil Moisture Using GPS-IR Technique Over a Tropical Region: Variability of SM With Rainfall and Energy Fluxes [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Soil Moisture (SM) data play an important role in different fields of research like hydrology, agriculture, climatology, etc. In this article, global positioning system interferometric reflectometry technique was used to estimate SM. Estimated SM data have been validated and compared with collocated in situ probe, Soil Moisture and Ocean Salinity (SMOS)
G. N. Madhavi +4 more
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Analyzing the Effects of Sea Surface Temperature (SST) on Soil Moisture (SM) in Coastal Areas of Eastern China [PDF]
Remote Sensing, 2020 In this paper, we applied the re-analysis data cobe-SST (cobe-sea surface temperature) and Global Land Data Assimilation System (GLDAS) surface soil moisture (SM) data from 1961 to 2011 by using regional correlation analysis and time series causality analysis to trace annual variations in and identify the abnormal relationship of sea surface ...
Yingying Liu +3 more
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Improving Surface Soil Moisture Estimation Through Assimilating Satellite Land Surface Temperature With a Linear SM-LST Relationship [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Soil moisture (SM) plays a vital role in linking the global terrestrial water, energy, and carbon cycles. Land data assimilation (DA) is typically applied for acquiring more accurate SM estimates by incorporating remote sensing (RS) retrievals to constraint model parameters and system states.
Jiaxin Tian +8 more
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Establishing a periodic SM model with Fourier analysis for enhancing global soil moisture forecasting [PDF]
Scientific ReportsAccurately predicting global soil moisture (SM) is crucial for sustainable agriculture and water resource management. Recognizing the challenges posed by the heterogeneity of SM's spatiotemporal variability, this study proposes a novel approach that leverages Fourier analysis to decompose the periodic fluctuations in SM, revealing underlying trends and
Jinying Zhu, Shengyi Wang, Qingliang Li
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Spatial-Temporal Variation Characteristics and Influencing Factors of Soil Moisture in the Yellow River Basin Using ESA CCI SM Products [PDF]
Atmosphere, 2022 Soil moisture (SM) plays an important role in regulating terrestrial–atmospheric water circulation and energy balance. Most of the existing studies have explored the dynamic patterns of SM based on experimental methods. However, the analysis of large-scale regions and long-term SM sequences was limited. Alternatively, satellite remote sensing data is a
Lei Guo +6 more
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