English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

A global soil spectral grid based on space sensing

Authors

Demattê,  José A.M.
External Organizations;

Rizzo,  Rodnei
External Organizations;

Rosin,  Nícolas Augusto
External Organizations;

Poppiel,  Raul Roberto
External Organizations;

Novais,  Jean Jesus Macedo
External Organizations;

Amorim,  Merilyn Taynara Accorsi
External Organizations;

Rodriguez-Albarracín,  Heidy Soledad
External Organizations;

Rosas,  Jorge Tadeu Fim
External Organizations;

Bartsch,  Bruno dos Anjos
External Organizations;

Vogel,  Letícia Guadagnin
External Organizations;

Minasny,  Budiman
External Organizations;

Grunwald,  Sabine
External Organizations;

Ge,  Yufeng
External Organizations;

Ben-Dor,  Eyal
External Organizations;

/persons/resource/gholiza

Gholizadeh,  Asa
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Gomez,  Cecile
External Organizations;

/persons/resource/chabri

Chabrillat,  S.       
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Francos,  Nicolas
External Organizations;

Fiantis,  Dian
External Organizations;

Belal,  Abdelaziz
External Organizations;

Tsakiridis,  Nikolaos
External Organizations;

Kalopesa,  Eleni
External Organizations;

Naimi,  Salman
External Organizations;

Ayoubi,  Shamsollah
External Organizations;

Tziolas,  Nikolaos
External Organizations;

Das,  Bhabani Sankar
External Organizations;

Zalidis,  George
External Organizations;

Francelino,  Marcio Rocha
External Organizations;

Mello,  Danilo Cesar de
External Organizations;

Hafshejani,  Najmeh Asgari
External Organizations;

Peng,  Yi
External Organizations;

Ma,  Yuxin
External Organizations;

Coblinski,  João Augusto
External Organizations;

Wadoux,  Alexandre M.J.-C.
External Organizations;

Savin,  Igor
External Organizations;

Malone,  Brendan P.
External Organizations;

Karyotis,  Konstantinos
External Organizations;

/persons/resource/milewski

Milewski,  Robert       
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Vaudour,  Emmanuelle
External Organizations;

Wang,  Changkun
External Organizations;

Salama,  Elsayed Said Mohamed
External Organizations;

Shepherd,  Keith D.
External Organizations;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Demattê, J. A., Rizzo, R., Rosin, N. A., Poppiel, R. R., Novais, J. J. M., Amorim, M. T. A., Rodriguez-Albarracín, H. S., Rosas, J. T. F., Bartsch, B. d. A., Vogel, L. G., Minasny, B., Grunwald, S., Ge, Y., Ben-Dor, E., Gholizadeh, A., Gomez, C., Chabrillat, S., Francos, N., Fiantis, D., Belal, A., Tsakiridis, N., Kalopesa, E., Naimi, S., Ayoubi, S., Tziolas, N., Das, B. S., Zalidis, G., Francelino, M. R., Mello, D. C. d., Hafshejani, N. A., Peng, Y., Ma, Y., Coblinski, J. A., Wadoux, A.-M.-C., Savin, I., Malone, B. P., Karyotis, K., Milewski, R., Vaudour, E., Wang, C., Salama, E. S. M., Shepherd, K. D. (2025): A global soil spectral grid based on space sensing. - Science of the Total Environment, 968, 178791.
https://doi.org/10.1016/j.scitotenv.2025.178791


Cite as: https://gfzpublic.gfz.de/pubman/item/item_5033899
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.