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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40104 - Soil science
Result continuities
Project
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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