Details
Original language | English |
---|---|
Article number | 178791 |
Number of pages | 14 |
Journal | Science of the Total Environment |
Volume | 968 |
Early online date | 20 Feb 2025 |
Publication status | Published - 10 Mar 2025 |
Abstract
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.
Keywords
- Agri-environmental policy, Digital soil mapping, Earth observation, Soil reflectance spectra, Soil security
ASJC Scopus subject areas
- Environmental Science(all)
- Environmental Engineering
- Environmental Science(all)
- Environmental Chemistry
- Environmental Science(all)
- Waste Management and Disposal
- Environmental Science(all)
- Pollution
Sustainable Development Goals
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In: Science of the Total Environment, Vol. 968, 178791, 10.03.2025.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A global soil spectral grid based on space sensing
AU - Demattê, José A.M.
AU - Rizzo, Rodnei
AU - Rosin, Nícolas Augusto
AU - Poppiel, Raul Roberto
AU - Novais, Jean Jesus Macedo
AU - Amorim, Merilyn Taynara Accorsi
AU - Rodriguez-Albarracín, Heidy Soledad
AU - Rosas, Jorge Tadeu Fim
AU - Bartsch, Bruno dos Anjos
AU - Vogel, Letícia Guadagnin
AU - Minasny, Budiman
AU - Grunwald, Sabine
AU - Ge, Yufeng
AU - Ben-Dor, Eyal
AU - Gholizadeh, Asa
AU - Gomez, Cecile
AU - Chabrillat, Sabine
AU - Francos, Nicolas
AU - Fiantis, Dian
AU - Belal, Abdelaziz
AU - Tsakiridis, Nikolaos
AU - Kalopesa, Eleni
AU - Naimi, Salman
AU - Ayoubi, Shamsollah
AU - Tziolas, Nikolaos
AU - Das, Bhabani Sankar
AU - Zalidis, George
AU - Francelino, Marcio Rocha
AU - Mello, Danilo Cesar de
AU - Hafshejani, Najmeh Asgari
AU - Peng, Yi
AU - Ma, Yuxin
AU - Coblinski, João Augusto
AU - Wadoux, Alexandre M.J.C.
AU - Savin, Igor
AU - Malone, Brendan P.
AU - Karyotis, Konstantinos
AU - Milewski, Robert
AU - Vaudour, Emmanuelle
AU - Wang, Changkun
AU - Salama, Elsayed Said Mohamed
AU - Shepherd, Keith D.
N1 - Publisher Copyright: © 2025 Elsevier B.V.
PY - 2025/3/10
Y1 - 2025/3/10
N2 - 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.
AB - 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.
KW - Agri-environmental policy
KW - Digital soil mapping
KW - Earth observation
KW - Soil reflectance spectra
KW - Soil security
UR - http://www.scopus.com/inward/record.url?scp=85217952120&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2025.178791
DO - 10.1016/j.scitotenv.2025.178791
M3 - Article
C2 - 39983487
AN - SCOPUS:85217952120
VL - 968
JO - Science of the Total Environment
JF - Science of the Total Environment
SN - 0048-9697
M1 - 178791
ER -