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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Obtaining high-resolution synthetic soil imagery for topsoil mapping

Full text
Author(s):
Chimelo Ruiz, Luis Fernando [1] ; Melo Dematte, Jose Alexandre [1] ; Safanelli, Jose Lucas [1] ; Rizzo, Rodnei [1] ; Silvero, Nelida E. Q. [1] ; Rosin, Nicolas Augusto [1] ; Campos, Lucas Rabelo [1]
Total Authors: 7
Affiliation:
[1] Univ Sao Paulo, Luiz de Queiroz Coll Agr Esalq, Dept Soil Sci, Padua Dias Ave 11, Piracicaba, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: REMOTE SENSING LETTERS; v. 13, n. 2, p. 107-114, FEB 1 2022.
Web of Science Citations: 0
Abstract

Detailed soil maps contribute to the understanding of agricultural and food value chains. PlanetScope satellite constellations have high spatial and temporal resolution and could be used to develop Synthetic Soil Image (SYSI) at specific dates of field crops calendar. This work aimed to derive a SYSI from PlanetScope time series and estimate soil clay content, an important attribute related to several soil functions. The normalization process was applied to make the radiometries of the different Doves' images compatible and, subsequently, land cover classification was performed to select the bare soil class, obtaining the SYSI-Planet. The clay content was predicted for 2337 topsoil samples using the SYSI-Planet and Random Forest algorithm. The normalization of PlanetScope images were based on reference images, which mitigated the radiometric differences from acquisition dates and different radiometric calibrations. SYSI-Planet resulted in an excellent clay content prediction, resulting in a coefficient of determination (R-2) equal to 0.93 and Root-Mean-Square Error (RMSE) equal to 70.90. The predicted clay mapped revealed spatial patterns with a high spatial resolution (similar to 3 m), which can enhance precise agricultural management. (AU)

FAPESP's process: 14/22262-0 - Geotechnologies on a detailed digital soil mapping and the Brazilian soil spectral library: development and applications
Grantee:José Alexandre Melo Demattê
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 19/20462-5 - Geotechnologies in Detailed Pedological Digital Mapping and Spectral Soil Library of Brazil: Development and Applications
Grantee:Luis Fernando Chimelo Ruiz
Support Opportunities: Scholarships in Brazil - Post-Doctoral