A global soil spectral grid based on space sensing

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dc.contributor.authorDemattê, José A.M.
dc.contributor.authorRizzo, Rodnei
dc.contributor.authorRosin, Nícolas Augusto
dc.contributor.authorPoppiel, Raul Roberto
dc.contributor.authorNovais, Jean Jesus Macedo
dc.contributor.authorAmorim, Merilyn Taynara Accorsi
dc.contributor.authorRodriguez-Albarracín, Heidy Soledad
dc.contributor.authorRosas, Jorge Tadeu Fim
dc.contributor.authorBartsch, Bruno dos Anjos
dc.contributor.authorVogel, Letícia Guadagnin
dc.contributor.authorMinasny, Budiman
dc.contributor.authorGrunwald, Sabine
dc.contributor.authorGe, Yufeng
dc.contributor.authorBen-Dor, Eyal
dc.contributor.authorGholizadeh, Asa
dc.contributor.authorGomez, Cecile
dc.contributor.authorChabrillat, Sabine
dc.contributor.authorFrancos, Nicolas
dc.contributor.authorFiantis, Dian
dc.contributor.authorBelal, Abdelaziz
dc.contributor.authorTsakiridis, Nikolaos
dc.contributor.authorEleni, Kalopesa
dc.contributor.authorNaimi, Salman
dc.contributor.authorAyoubi, Shamsollah
dc.contributor.authorTziolas, Nikolaos
dc.contributor.authorDas, Bhabani Sankar
dc.contributor.authorZalidis, George
dc.contributor.authorFrancelino, Marcio Rocha
dc.contributor.authorde Mello, Danilo Cesar
dc.contributor.authorHafshejani, Najmeh Asgari
dc.contributor.authorPeng, Yi
dc.contributor.authorMa, Yuxin
dc.contributor.authorCoblinski, João Augusto
dc.contributor.authorWadoux, Alexandre M.J.-C.
dc.contributor.authorSavin, Igor
dc.contributor.authorMalone, Brendan P.
dc.contributor.authorKaryotis, Konstantinos
dc.contributor.authorMilewski, Robert
dc.contributor.authorVaudour, Emmanuelle
dc.contributor.authorWang, Changkun
dc.contributor.authorSalama, Elsayed Said Mohamed
dc.contributor.authorShepherd, Keith D.
dc.date.accessioned2025-02-24T10:59:34Z
dc.date.available2025-02-24T10:59:34Z
dc.date.issued2025-02-20
dc.description.abstractSoils 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.
dc.identifier.citationScience of The Total Environment 968, 178791
dc.identifier.doi10.1016/j.scitotenv.2025.178791
dc.identifier.issn0048-9697
dc.identifier.urihttps://bc.iung.pl/handle/123456789/2630
dc.language.isoen
dc.publisherElsevier
dc.subjectSoil reflectance spectra
dc.subjectSoil security
dc.subjectEarth observation
dc.subjectDigital soil mapping
dc.subjectAgri-environmental policy
dc.titleA global soil spectral grid based on space sensing
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