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Remote sensing of the Earth's soil color in space and time

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A103318" target="_blank" >RIV/60460709:41210/23:103318 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.rse.2023.113845" target="_blank" >https://doi.org/10.1016/j.rse.2023.113845</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.rse.2023.113845" target="_blank" >10.1016/j.rse.2023.113845</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Remote sensing of the Earth's soil color in space and time

  • Original language description

    Soil color is a key indicator of soil properties and conditions, exerting influence on both agronomic and environmental variables. Conventional methods for soil color determination have come under scrutiny due to their limited accuracy and reliability. In response to these concerns, we developed an innovative system that leverages 35 years of satellite imagery in conjunction with in-situ soil spectral measurements. This approach enables the creation of a global soil color map with a fine spatial resolution of 30 m x 30 m. The system initially identifies bare earth areas worldwide using reflectance bands acquired from Landsat 4 through Landsat 8 between 1985 and 2020. Soil color was quantified using the CIE-XYZ coordinates, utilizing 8005 soil spectral measurements within the visible range (380–780 nm) as ground truth data. We established transfer functions to convert Landsat reflectance bands to standardized XYZ color coordinates. These transfer functions were subsequently applied to images of bare surfaces, covering approximately 38.5% of the Earth’s surface. We validated the resulting global soil color map using statistical indices derived from an independent set of ground-truth spectral data, demonstrating a high degree of agreement. By creating the world’s first global soil color map, we have set a baseline for future spatial and temporal monitoring of soil conditions, thus enhancing our understanding and management of our planet’s vital soil resources.

  • 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

    40104 - Soil science

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Remote Sensing of Environment

  • ISSN

    0034-4257

  • e-ISSN

    1879-0704

  • Volume of the periodical

    299

  • Issue of the periodical within the volume

    113845

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    15

  • Pages from-to

    1-15

  • UT code for WoS article

    001101116200001

  • EID of the result in the Scopus database

    2-s2.0-85174587034