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
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 +8 more sources
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
openaire +3 more sources
Downscaling Microwave Soil Moisture Products with SM-RDNet for Semiarid Mining Areas
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
openaire +2 more sources
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 Kovacevic +4 more
openaire +5 more sources
Global Surface Soil Moisture Dynamics in 1979–2016 Observed from ESA CCI SM Dataset [PDF]
Water, 2019 Soil moisture (SM) is an important variable for the terrestrial surface system, as its changes greatly affect the global water and energy cycle. The description and understanding of spatiotemporal changes in global soil moisture require long time-series observation.
Ning Pan +4 more
openaire +2 more sources
Evidence for the acclimation of ecosystem photosynthesis to soil moisture
Nature CommunicationsEcosystem gross primary productivity (GPP) is the largest carbon flux between the atmosphere and biosphere and is strongly influenced by soil moisture.
Jinlong Peng +9 more
doaj +2 more sources
Enhancing sub-seasonal soil moisture forecasts through land initialization
npj Climate and Atmospheric ScienceWe assess the relative contributions of land, atmosphere, and oceanic initializations to the forecast skill of root zone soil moisture (SM) utilizing the Community Earth System Model version 2 Sub to Seasonal climate forecast experiments (CESM2-S2S ...
Yanan Duan +10 more
doaj +2 more sources
Remote SensingMonitoring soil moisture (SM) on individual crop fields is of great interest for agricultural applications. Synthetic aperture radar (SAR) systems such as Sentinel-1 provide sensitivity to surface SM at a spatial resolution compatible with crop-field ...
Claire Stanyer +3 more
doaj +2 more sources
A new, long-term root zone soil moisture dataset for operational agricultural drought monitoring over Africa [PDF]
Scientific DataQuantifying root zone soil moisture (RZSM) is critical for assessing water availability to crops and identifying agricultural drought across Africa, with access to reliable and timely RZSM data essential for informed decision-making.
Ross I. Maidment +6 more
doaj +2 more sources