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Validation of SMAP surface soil moisture products with core validation sites

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TLDR
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 as mentioned in this paper.
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This article is published in Remote Sensing of Environment.The article was published on 2017-03-15. It has received 487 citations till now.

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Journal ArticleDOI

Ground, Proximal, and Satellite Remote Sensing of Soil Moisture

TL;DR: 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.
Journal ArticleDOI

Development and assessment of the SMAP enhanced passive soil moisture product

TL;DR: This article covers the development and assessment of the SMAP Level 2 Enhanced Passive Soil Moisture Product (L2_SM_P_E) and affirmed that the Single Channel Algorithm using the V-polarized TB channel (SCA-V) delivered the best retrieval performance among the various algorithms implemented for L2-SM-P, a result similar to a previous assessment.
Journal ArticleDOI

Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

TL;DR: In this paper, the authors chart the rise of remote sensing for drought monitoring, examining key milestones and technologies for assessing meteorological, agricultural and hydrological drought events, and reflect on challenges the research community has faced to date, such as limitations associated with data record length and spatial, temporal and spectral resolution.
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Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements

TL;DR: The Level-4 Surface and Root-Zone Soil Moisture (L4_SM) data product is generated by assimilating SMAP L-band brightness temperature observations into the NASA Catchment land surface model as mentioned in this paper.
References
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Journal ArticleDOI

Updated world map of the Köppen-Geiger climate classification

TL;DR: In this paper, a new global map of climate using the Koppen-Geiger system based on a large global data set of long-term monthly precipitation and temperature station time series is presented.
Journal ArticleDOI

The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle

TL;DR: The SMOS satellite was launched successfully on November 2, 2009, and will achieve an unprecedented maximum spatial resolution of 50 km at L-band over land (43 km on average over the field of view), providing multiangular dual polarized (or fully polarized) brightness temperatures over the globe.
Journal ArticleDOI

A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data

TL;DR: In this paper, the potential of using ERS scatterometer data for soil moisture monitoring over the Ukraine is investigated and a simple method is developed to relate the surface estimates with the profile soil moisture content.
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