A global soil spectral grid based on space sensing

verfasst von

José A.M. Demattê, Rodnei Rizzo, Nícolas Augusto Rosin, Raul Roberto Poppiel, Jean Jesus Macedo Novais, Merilyn Taynara Accorsi Amorim, Heidy Soledad Rodriguez-Albarracín, Jorge Tadeu Fim Rosas, Bruno dos Anjos Bartsch, Letícia Guadagnin Vogel, Budiman Minasny, Sabine Grunwald, Yufeng Ge, Eyal Ben-Dor, Asa Gholizadeh, Cecile Gomez, Sabine Chabrillat, Nicolas Francos, Dian Fiantis, Abdelaziz Belal, Nikolaos Tsakiridis, Eleni Kalopesa, Salman Naimi, Shamsollah Ayoubi, Nikolaos Tziolas, Bhabani Sankar Das, George Zalidis, Marcio Rocha Francelino, Danilo Cesar de Mello, Najmeh Asgari Hafshejani, Yi Peng, Yuxin Ma, João Augusto Coblinski, Alexandre M.J.C. Wadoux, Igor Savin, Brendan P. Malone, Konstantinos Karyotis, Robert Milewski, Emmanuelle Vaudour, Changkun Wang, Elsayed Said Mohamed Salama, Keith D. Shepherd

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.

Organisationseinheit(en)

Abteilung Bodenkunde
Institut für Erdsystemwissenschaften

Externe Organisation(en)

Universidade de Sao Paulo
Universität Sydney
University of Florida (UF)
University of Nebraska-Lincoln (UNL)
Tel Aviv University
Czech University of Life Sciences Prague
Universität Montpellier
Indian Institute of Science (IISc)
GFZ Helmholtz-Zentrum für Geoforschung
Universität Andalas (UNAND)
National Authority for Remote Sensing And Space Sciences
Aristotle University of Thessaloniki (A.U.Th.)
Isfahan University of Technology
Indian Institute of Technology Kharagpur (IITKGP)
Universidade Federal de Vicosa
Chinese Academy of Sciences (CAS)
New South Wales Department of Climate Change, Energy, the Environment and Water (DCCEEW)
Institute of Soil Science and Plant Cultivation (IUNG)
Dokuchaev Soil Science Institute (SSI)
Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Universität Paris-Saclay
Peoples' Friendship University of Russia (RUDN)
Innovative Solutions for Decision Agriculture (iSDA)

Typ

Artikel

Journal

Science of the Total Environment

Band

968

Anzahl der Seiten

14

ISSN

0048-9697

Publikationsdatum

10.03.2025

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Environmental engineering, Umweltchemie, Abfallwirtschaft und -entsorgung, Umweltverschmutzung

Ziele für nachhaltige Entwicklung

SDG 13 – Klimaschutzmaßnahmen, SDG 15 – Lebensraum Land

Elektronische Version(en)

https://doi.org/10.1016/j.scitotenv.2025.178791 (Zugang: Geschlossen)