Results 11 to 20 of about 3,210,451 (346)
Ground, Proximal, and Satellite Remote Sensing of Soil Moisture
Reviews of Geophysics, 2019 Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous Earth and environmental science applications that directly impact the global environment and human society.
Ebrahim Babaeian +5 more
semanticscholar +3 more sources
Validation practices for satellite soil moisture retrievals: What are (the) errors?
Remote Sensing of Environment, 2020 This paper presents a community effort to develop good practice guidelines for the validation of global coarse-scale satellite soil moisture products. We provide theoretical background, a review of state-of-the-art methodologies for estimating errors in ...
A. Gruber +25 more
semanticscholar +3 more sources
Validation of SMAP surface soil moisture products with core validation sites
Remote Sensing of Environment, 2017 The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance.
A. Colliander +48 more
semanticscholar +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Soil moisture plays an important role in the global water cycle and has an important impact on energy fluxes at the land surface. It also defines the initial and boundary condition of terrestrial hydrological processes, including infiltration, runoff ...
Parisa Heidary +2 more
doaj +1 more source
Estimating root zone soil moisture using near-surface observations from SMOS [PDF]
Hydrology and Earth System Sciences, 2014 Satellite-derived soil moisture provides more spatially and temporally extensive data than in situ observations. However, satellites can only measure water in the top few centimeters of the soil. Root zone soil moisture is more important, particularly in
T. W. Ford, E. Harris, S. M. Quiring
doaj +1 more source
Global soil moisture data derived through machine learning trained with in-situ measurements
Scientific Data, 2021 While soil moisture information is essential for a wide range of hydrologic and climate applications, spatially-continuous soil moisture data is only available from satellite observations or model simulations.
S. O, R. Orth
semanticscholar +1 more source
Remote Sensing of Environment, 2021 Root zone soil moisture (RZSM) estimation and monitoring based on high spatial resolution remote sensing information such as obtained with an Unmanned Aerial System (UAS) is of significant interest for field-scale precision irrigation management ...
Ebrahim Babaeian +4 more
semanticscholar +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Wildfires are a major concern around the globe because of the immediate impact they have on people's lives, local ecosystems, and the environment.
Nazmus Sazib +2 more
doaj +1 more source
Effect of high-resolution spatial soil moisture variability on simulated runoff response using a distributed hydrologic model [PDF]
Hydrology and Earth System Sciences, 2011 The importance of spatial variability of antecedent soil moisture conditions on runoff response is widely acknowledged in hillslope hydrology. Using a distributed hydrologic model, this paper aims at investigating the effects of soil moisture spatial ...
J. Minet +3 more
doaj +1 more source
JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2022 Water is one of the limiting factors in the growth of coffee plants. If plants experience a lack of water, it can inhibit plant growth and, at a critical level, can lead to drought stress and plant damages.
Almira Harwidya Irenasari +1 more
doaj +1 more source