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Validation and scaling of soil moisture in a semi-arid environment: SMAP validation experiment 2015 (SMAPVEX15)

https://doi.org/10.1016/j.rse.2017.04.022
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2016gl069946openalex-snapshot
SMAP soil moisture drying more rapid than observed in situ following rainfall events
inferredcites →https://doi.org/10.1002/2016gl069964openalex-snapshot
An initial assessment of SMAP soil moisture retrievals using high‐resolution model simulations and in situ observations
inferredcites →https://doi.org/10.1002/hyp.3360070205openalex-snapshot
III. Measuring surface soil moisture using passive microwave remote sensing
inferredcites →https://doi.org/10.1016/0022-1694(95)02970-2openalex-snapshot
Passive microwave remote sensing of soil moisture
inferredcites →https://doi.org/10.1016/0034-4257(91)90057-dopenalex-snapshot
Vegetation effects on the microwave emission of soils
inferredcites →https://doi.org/10.1016/j.advwatres.2004.10.004openalex-snapshot
Upscaling of field-scale soil moisture measurements using distributed land surface modeling
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.01.003openalex-snapshot
Calibration of an impedance probe for estimation of surface soil water content over large regions
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.05.021openalex-snapshot
Evaluation of several calibration procedures for a portable soil moisture sensor
inferredcites →https://doi.org/10.1016/j.rse.2004.05.018openalex-snapshot
Retrieval of soil moisture from passive and active L/S band sensor (PALS) observations during the Soil Moisture Experiment in 2002 (SMEX02)
inferredcites →https://doi.org/10.1016/j.rse.2007.01.024openalex-snapshot
Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions
inferredcites →https://doi.org/10.1016/j.rse.2007.07.001openalex-snapshot
Temporal persistence and stability of surface soil moisture in a semi-arid watershed
inferredcites →https://doi.org/10.1016/j.rse.2009.12.011openalex-snapshot
Effective soil moisture sampling depth of L-band radiometry: A case study
inferredcites →https://doi.org/10.1016/j.rse.2012.02.002openalex-snapshot
Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development
inferredcites →https://doi.org/10.1016/j.rse.2016.02.042openalex-snapshot
Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation
inferredcites →https://doi.org/10.1016/j.rse.2016.06.001openalex-snapshot
Retrieving soil moisture for non-forested areas using PALS radiometer measurements in SMAPVEX12 field campaign
inferredcites →https://doi.org/10.1016/j.rse.2017.01.021openalex-snapshot
Validation of SMAP surface soil moisture products with core validation sites
inferredcites →https://doi.org/10.1029/1999wr900047openalex-snapshot
Ground‐based investigation of soil moisture variability within remote sensing footprints During the Southern Great Plains 1997 (SGP97) Hydrology Experiment
inferredcites →https://doi.org/10.1029/2006wr005702openalex-snapshot
Long‐term meteorological and soil hydrology database, Walnut Gulch Experimental Watershed, Arizona, United States
inferredcites →https://doi.org/10.1029/2006wr005782openalex-snapshot
Long‐term precipitation database, Walnut Gulch Experimental Watershed, Arizona, United States
inferredcites →https://doi.org/10.1029/2006wr005804openalex-snapshot
Field observations of soil moisture variability across scales
inferredcites →https://doi.org/10.1029/2007wr006083openalex-snapshot
Preface to special section on Fifty Years of Research and Data Collection: U.S. Department of Agriculture Walnut Gulch Experimental Watershed
inferredcites →https://doi.org/10.1029/93wr03038openalex-snapshot
Surface energy balance estimates at local and regional scales using optical remote sensing from an aircraft platform and atmospheric data collected over semiarid rangelands
inferredcites →https://doi.org/10.1029/jb082i020p03108openalex-snapshot
Theory for passive microwave remote sensing of near-surface soil moisture
inferredcites →https://doi.org/10.1029/jc084ic09p05699openalex-snapshot
Effect of surface roughness on the microwave emission from soils
inferredcites →https://doi.org/10.1109/36.921422openalex-snapshot
Passive active L- and S-band (PALS) microwave sensor for ocean salinity and soil moisture measurements
inferredcites →https://doi.org/10.1109/igarss.2003.1294069openalex-snapshot
Development of a high stability L-band radiometer for ocean salinity measurements
inferredcites →https://doi.org/10.1109/igarss.2008.4778972openalex-snapshot
Passive and Active L-Band System and Observations during the 2007 CLASIC Campaign
inferredcites →https://doi.org/10.1109/igarss.2016.7729897openalex-snapshot
Towards validation of SMAP: SMAPEX-4 & -5
inferredcites →https://doi.org/10.1109/jstars.2014.2372031openalex-snapshot
Evaluation of Dielectric Mixing Models for Passive Microwave Soil Moisture Retrieval Using Data From ComRAD Ground-Based SMAP Simulator
inferredcites →https://doi.org/10.1109/jstars.2016.2569998openalex-snapshot
Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products
inferredcites →https://doi.org/10.1109/jstars.2016.2611491openalex-snapshot
Bayesian Combined Active/Passive (B-CAP) Soil Moisture Retrieval Algorithm
inferredcites →https://doi.org/10.1109/lgrs.2009.2028441openalex-snapshot
Combined Passive and Active Microwave Observations of Soil Moisture During CLASIC
inferredcites →https://doi.org/10.1109/lgrs.2014.2362889openalex-snapshot
Comparison of Airborne Passive and Active L-Band System (PALS) Brightness Temperature Measurements to SMOS Observations During the SMAP Validation Experiment 2012 (SMAPVEX12)
inferredcites →https://doi.org/10.1109/tge.1978.294577openalex-snapshot
Radiative Transfer in a Plane Stratified Dielectric
inferredcites →https://doi.org/10.1109/tgrs.2002.807008openalex-snapshot
Observations of soil moisture using a passive and active low-frequency microwave airborne sensor during SGP99
inferredcites →https://doi.org/10.1109/tgrs.2007.898092openalex-snapshot
Aquarius: An Instrument to Monitor Sea Surface Salinity From Space
inferredcites →https://doi.org/10.1109/tgrs.2008.2011631openalex-snapshot
Physically and Mineralogically Based Spectroscopic Dielectric Model for Moist Soils
inferredcites →https://doi.org/10.1109/tgrs.2010.2051035openalex-snapshot
Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products
inferredcites →https://doi.org/10.1109/tgrs.2011.2168533openalex-snapshot
Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S.
inferredcites →https://doi.org/10.1109/tgrs.2011.2170177openalex-snapshot
Validation of SMOS Brightness Temperatures During the HOBE Airborne Campaign, Western Denmark
inferredcites →https://doi.org/10.1109/tgrs.2012.2198920openalex-snapshot
Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results
inferredcites →https://doi.org/10.1109/tgrs.2013.2241774openalex-snapshot
The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission
inferredcites →https://doi.org/10.1109/tgrs.2014.2364913openalex-snapshot
The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms
inferredcites →https://doi.org/10.1109/tgrs.2016.2561938openalex-snapshot
Assessment of the SMAP Passive Soil Moisture Product
inferredcites →https://doi.org/10.1109/tgrs.2016.2631978openalex-snapshot
SMAP L-Band Microwave Radiometer: Instrument Design and First Year on Orbit
inferredcites →https://doi.org/10.1109/tgrs.2017.2656859openalex-snapshot
A Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products
inferredcites →https://doi.org/10.1175/1520-0477(1997)078<2197:tnam>2.0.co;2openalex-snapshot
The North American Monsoon
inferredcites →https://doi.org/10.1175/jhm-d-14-0137.1openalex-snapshot
Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network
inferredcites →https://doi.org/10.1175/jhm-d-14-0145.1openalex-snapshot
Soil Moisture Model Calibration and Validation: An ARS Watershed on the South Fork Iowa River
inferredcites →https://doi.org/10.2514/8.12661openalex-snapshot
The Jet Propulsion Laboratory
inferredcites →https://doi.org/10.3390/ijgi1010032openalex-snapshot
EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets
inferredcites →https://doi.org/10.48577/jpl.ceoq7dopenalex-snapshot
SMAP Science Data Calibration and Validation Plan

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Evaluation of the SMOS and SMAP soil moisture products under different vegetation types against two sparse in situ networks over arid mountainous watersheds, Northwest China
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Accounting for soil porosity improves a thermal inertia model for estimating surface soil water content
inferred← citeshttps://doi.org/10.1016/j.rse.2018.09.023openalex-snapshot
SMAP soil moisture improves global evapotranspiration
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Sampling depth of L-band radiometer measurements of soil moisture and freeze-thaw dynamics on the Tibetan Plateau
inferred← citeshttps://doi.org/10.1016/j.rse.2019.04.004openalex-snapshot
Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP validation experiment 2016 (SMAPVEX16)
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Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: A comprehensive assessment using global ground-based observations
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Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset
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Impact of random and periodic surface roughness on P- and L-band radiometry
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An assessment of L-band surface soil moisture products from SMOS and SMAP in the tropical areas
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A review of forward modelling and retrieval approaches for forest soil moisture and vegetation optical depth using L-band radiometry
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An independent evaluation of global 1 km soil moisture products using in-situ and airborne observations
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Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method
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Simulating C‐Band SAR Footprint‐Scale Backscatter Over Agricultural Area With a Physical Land Surface Model
inferred← citeshttps://doi.org/10.1029/2020gl089697openalex-snapshot
SMAP Detects Soil Moisture Under Temperate Forest Canopies
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Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior
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Monitoring tropical soil moisture using remote sensing technology: A mini review
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Downscaling of FY3B Soil Moisture Based on Land Surface Temperature and Vegetation Data
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Evaluation of SMAP Core Validation Site Representativeness Errors Using Dense Networks of In Situ Sensors and Random Forests
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inferred← citeshttps://doi.org/10.3390/rs14174191openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs16081394openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s19163447openalex-snapshot
Spatio-Temporal Mapping of L-Band Microwave Emission on a Heterogeneous Area with ELBARA III Passive Radiometer
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Soil Moisture Estimation Using Citizen Observatory Data, Microwave Satellite Imagery, and Environmental Covariates
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Estimation of surface soil moisture by integrating environmental data and remote-sensing satellites
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In situ Soil Moisture Sensors in Undisturbed Soils
inferred← citeshttps://doi.org/10.3791/64498-vopenalex-snapshot
In situ Soil Moisture Sensors in Undisturbed Soils
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Required sampling density of ground-based soil moisture and brightness temperature observations for calibration and validation of L-band satellite observations based on a virtual reality
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Perspective Chapter: Validation of SMOS Satellite Soil Moisture Estimates Using Capacitance Probes over the Different Ecological Zones in Northern Ghana
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Global-scale retrievals of soil moisture and vegetation optical depth from L-band passive microwave observations : SMOS-IC algorithm improvement, fusion with SMAP and assessment
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