A global soil spectral grid based on space sensing
Status PubMed-not-MEDLINE Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články
PubMed
39983487
DOI
10.1016/j.scitotenv.2025.178791
PII: S0048-9697(25)00426-7
Knihovny.cz E-zdroje
- Klíčová slova
- Agri-environmental policy, Digital soil mapping, Earth observation, Soil reflectance spectra, Soil security,
- Publikační typ
- časopisecké články MeSH
Soils provide a range of essential ecosystem services for sustaining life, including climate regulation. Advanced technologies support the protection and restoration of this natural resource. We developed the first fine-resolution spectral grid of bare soils by processing a spatiotemporal satellite data cube spanning the globe. Landsat imagery provided a 30 m composite soil image using the Geospatial Soil Sensing System (GEOS3), which calculates the median of pixels from the 40-year time series (1984-2022). The map of the Earth's bare soil covers nearly 90 % of the world's drylands. The modeling resulted in 10 spectral patterns of soils worldwide. Results indicate that plant residue and unknown soil patterns are the main factors that affect soil reflectance. Elevation and the shortwave infrared (SWIR2) band show the highest importance, with 78 and 80 %, respectively, suggesting that spectral and geospatial proxies provide inference on soils. We showcase that spectral groups are associated with environmental factors (climate, land use and land cover, geology, landforms, and soil). These outcomes represent an unprecedented information source capable of unveiling nuances on global soil conditions. Information derived from reflectance data supports the modeling of several soil properties with applications in soil-geological surveying, smart agriculture, soil tillage optimization, erosion monitoring, soil health, and climate change studies. Our comprehensive spectrally-based soil grid can address global needs by informing stakeholders and supporting policy, mitigation planning, soil management strategy, and soil, food, and climate security interventions.
5 V Dokuchaev Soil Science Institute 119017 Moscow Russia
Center of Nuclear Energy in Agriculture University of São Paulo Brazil
CSIRO Agriculture and Food Black Mountain ACT Australia
Department of Biological Systems Engineering University of Nebraska Lincoln Lincoln NE 68583 USA
Department of Soil Science Isfahan University of Technology Isfahan 84156 83111 Iran
Department of Soil Water and Ecosystem Sciences University of Florida USA
GFZ Helmholtz Centre for Geosciences Telegrafenberg A17 14473 Potsdam Germany
Laboratory of Remote Sensing Spectroscopy and GIS Aristotle University of Thessaloniki Greece
LISAH Univ Montpellier AgroParisTech INRAE IRD L'Institut Agro Montpellier France
National Authority for Remote Sensing and Space Sciences Cairo 11843 Egypt
Université Paris Saclay INRAE AgroParisTech UMR EcoSys 91120 Palaiseau France
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