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- Title
Spectral regionalization of tropical soils in the estimation of soil attributes.
- Authors
Demattê, José A. M.; Bellinaso, Henrique; Araújo, Suzana Romeiro; Rizzo, Rodnei; Souza, Arnaldo Barros
- Abstract
Conventional soil analysis produces large amount of residues and demand resources and time consuming. The construction of soil spectral database for estimating soil attributes is the newest alternative on soil mapping. The objective in this study was to build spectral libraries and study the quality of the generated prediction models for soil attributes. It was obtained 7185 soil spectral (400-2500 nm) in laboratory with respective soil analysis. The spectral libraries "general", "regional", and "local" were generated from these spectral readings. The general spectral library contained the full range of data and several states, the regional libraries contained data from geographically close municipalities, and the local libraries contained soil data from a single municipality. In general we observed the sequence of R² for General (0.85), Regional (0.67 to 0.77) and Local (0.55 to 0.77). In conclusion, the best database was the general one. On the other hand, independent of the size of the database, predictive models based on physical attributes such as sand, clay, and organic matter generate good predictions until an R² of 0.7. The determination of spectral libraries including highly variable soils formed from different parent materials create worse results for the estimation of chemical attributes and better results for the estimation of the physical ones. The low range of variation in a given attribute was a limiting factor in the generation of effective predictive models. A great spectral library can certainly improve soil quantitative evaluation.
- Subjects
SOIL testing; TROPICAL agriculture; SOIL mapping; MUNICIPAL government; HUMUS
- Publication
Revista Ciência Agronômica, 2016, Vol 47, Issue 4, p589
- ISSN
0045-6888
- Publication type
Article
- DOI
10.5935/1806-6690.20160071