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Global Scale Mapping of Subsurface Scattering Signals Impacting ASCAT Soil Moisture Retrievals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F24%3A00598443" target="_blank" >RIV/86652079:_____/24:00598443 - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43210/24:43925699

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10601171" target="_blank" >https://ieeexplore.ieee.org/document/10601171</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TGRS.2024.3429550" target="_blank" >10.1109/TGRS.2024.3429550</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Global Scale Mapping of Subsurface Scattering Signals Impacting ASCAT Soil Moisture Retrievals

  • Original language description

    Soil moisture retrievals from the Advanced Scatterometer (ASCAT) have so far relied on the assumption that soil backscatter increases monotonically with soil moisture content. However, under dry soil conditions, discontinuities in the soil profile caused by the presence of stones, rocks, or distinct soil layers may disturb this relation, causing backscatter to decrease with increasing soil wetness. As of yet, subsurface scattering is a poorly understood phenomenon and some of its manifestations on ASCAT soil moisture retrievals have in the past been wrongly attributed to topographic effects or changes in soil surface roughness and vegetation. Therefore, this study aims at mapping subsurface scattering effects on a global scale, explore their dependency on land surface characteristics, and describe the impacts on ASCAT soil moisture retrievals. The results obtained with one statistical and two physically based indicators show that the subsurface scattering is not only widespread in desert regions but also in more humid climates with a dry season. Along with the dryness of the soil, the presence of coarse fragments in the soil profile and sparse vegetation cover are important factors that favor its occurrence. The impact on ASCAT soil moisture retrievals is severe, making subsurface scattering the most significant source of unaccounted errors in the current version of the ASCAT soil moisture data as provided by the EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management. Users of the product are recommended to mask soil moisture data affected by subsurface scattering effects using the indicators and masks developed in this study.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20705 - Remote sensing

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000797" target="_blank" >EF16_019/0000797: SustES - Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Geoscience Electronics

  • ISSN

    0196-2892

  • e-ISSN

    1558-0644

  • Volume of the periodical

    62

  • Issue of the periodical within the volume

    SEP

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    20

  • Pages from-to

    4509520

  • UT code for WoS article

    001294369400010

  • EID of the result in the Scopus database

    2-s2.0-85198705916