Results 51 to 60 of about 3,210,451 (346)
Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data
Water, 2020 Soil moisture is an integral quantity parameter in hydrology and agriculture practices. Satellite remote sensing has been widely applied to estimate surface soil moisture.
H. Adab +4 more
semanticscholar +1 more source
Stem-root flow effect on soil–atmosphere interactions and uncertainty assessments [PDF]
, 2015 . Soil water can rapidly enter deeper layers via vertical redistribution of soil water through the stem–root flow mechanism. This study develops the stem–root flow parameterization scheme and coupled this scheme with the Simplified Simple Biosphere model
Chen, J-P, Kuo, T-H, Xue, Y
core +2 more sources
Geosciences, 2018 Satellite soil moisture is a critical variable for identifying susceptibility to hydroclimatic risks such as drought, dryness, and excess moisture. Satellite soil moisture data from the Soil Moisture Active/Passive (SMAP) mission was used to evaluate the
Catherine Champagne +3 more
doaj +1 more source
Fusion of hyperspectral and ground penetrating radar to estimate soil moisture
, 2018 In this contribution, we investigate the potential of hyperspectral data combined with either simulated ground penetrating radar (GPR) or simulated (sensor-like) soil-moisture data to estimate soil moisture. We propose two simulation approaches to extend
Keller, Sina, Riese, Felix M.
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Frontiers in Earth Science, 2023 Soil moisture is an important parameter in numerical weather forecasting and climate projection studies, and it is extremely important for arid and semiarid areas.
Chunlei Meng, Haidong Jin, Bo Jin
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Spatial variations of shallow and deep soil moisture in the semi-arid Loess Plateau, China [PDF]
Hydrology and Earth System Sciences, 2012 Soil moisture in deep soil layers is an important relatively stable water resource for vegetation growth in the semi-arid Loess Plateau of China. Characterizing the spatial variations of deep soil moisture with respect to the topographic conditions has ...
L. Yang, W. Wei, L. Chen, F. Jia, B. Mo
doaj +1 more source
Remote Sensing, 2022 Accurate knowledge of soil moisture is crucial for agricultural drought monitoring. Data assimilation has proven to be a promising technique for improving soil moisture estimation, and various studies have been conducted on soil moisture data ...
Hongkui Zhou +5 more
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Packaging of Macroscopic Material Payloads: Needs, Challenges, Concepts, and Future Directions
Advanced Engineering Materials, EarlyView.This review introduces a unified framework that decomposes any macroscopic packaging system into the payload, packaging material, and packaging strategy and combines them into a conceptual packaging equation: packaging strategy = payload + packaging material.
Venkata S. R. Jampani, Manos Anyfantakis
wiley +1 more source
Remote Sensing, 2018 Several studies currently strive to improve the spatial resolution of coarse scale high temporal resolution global soil moisture products of SMOS, SMAP, and ASCAT. Soil texture heterogeneity is known to be one of the main sources of soil moisture spatial
Carsten Montzka +4 more
doaj +1 more source
Spatial variability and its scale dependency of observed and modeled soil moisture over different climate regions [PDF]
Hydrology and Earth System Sciences, 2013 Past studies on soil moisture spatial variability have been mainly conducted at catchment scales where soil moisture is often sampled over a short time period; as a result, the observed soil moisture often exhibited smaller dynamic ranges, which ...
B. Li, M. Rodell
doaj +1 more source