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Rizzo, Rodnei ; Wadoux, Alexandre M. J. -C. ; Dematte, Jose A. M. ; Minasny, Budiman ; Barron, Vidal ; Ben-Dor, Eyal ; Francos, Nicolas ; Savin, Igor ; Poppiel, Raul ; Silvero, Nelida E. Q. ; Terra, Fabricio da Silva ; Rosin, Nicolas Augusto ; Rosas, Jorge Tadeu Fim ; Greschuk, Lucas Tadeu ; Ballester, Maria V. R. ; Gomez, Andres Mauricio Rico ; Belllinaso, Henrique ; Safanelli, Jose Lucas ; Chabrillat, Sabine ; Fiorio, Peterson R. ; Das, Bhabani Sankar ; Malone, Brendan P. ; Zalidis, George ; Tziolas, Nikolaos ; Tsakiridis, Nikolaos ; Karyotis, Konstantinos ; Samarinas, Nikiforos ; Kalopesa, Eleni ; Gholizadeh, Asa ; Shepherd, Keith D. ; Milewskij, Robert ; Vaudour, Emmanuelle ; Wang, Changkun ; Salama, Elsayed Said Mohamed

• Tipo de documento: Artigo Científico
• Fonte: REMOTE SENSING OF ENVIRONMENT; v. 299, p. 15-pg., 2023-10-25.

Resumo

Soil color is a key indicator of soil properties and conditions, exerting influence on both agronomic and environmental variables. Conventional methods for soil color determination have come under scrutiny due to their limited accuracy and reliability. In response to these concerns, we developed an innovative system that leverages 35 years of satellite imagery in conjunction with in-situ soil spectral measurements. This approach enables the creation of a global soil color map with a fine spatial resolution of 30 m x 30 m. The system initially identifies bare earth areas worldwide using reflectance bands acquired from Landsat 4 through Landsat 8 between 1985 and 2020. Soil color was quantified using the CIE-XYZ coordinates, utilizing 8005 soil spectral measurements within the visible range (380-780 nm) as ground truth data. We established transfer functions to convert Landsat reflectance bands to standardized XYZ color coordinates. These transfer functions were subsequently applied to images of bare surfaces, covering approximately 38.5% of the Earth's surface. We validated the resulting global soil color map using statistical indices derived from an independent set of ground-truth spectral data, demonstrating a high degree of agreement. By creating the world's first global soil color map, we have set a baseline for future spatial and temporal monitoring of soil conditions, thus enhancing our understanding and management of our planet's vital soil resources. (AU)

• Processo FAPESP: 14/22262-0 - Geotecnologias no mapeamento digital pedológico detalhado e biblioteca espectral de solos do Brasil: desenvolvimento e aplicações
• Beneficiário: José Alexandre Melo Demattê
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/23760-4 - Tecnologia espacial no ciclo do sensoriamento de solo e planta: aplicações nas áreas de mapeamento, agrícola e ambiental
• Beneficiário: Rodnei Rizzo
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 16/26176-6 - Variabilidade de solos do Brasil sob a perspectiva de uma biblioteca espectral nas faixas do visível-infravermelho e infravermelho médio
• Beneficiário: Ariane Francine da Silveira Paiva
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto