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Spectral classification of soils: A case study of Brazilian flooded soils
- Source :
- Remote Sensing Applications: Society and Environment. 6:39-45
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Studies on the spectral behavior of Brazilian soils and their possible applicability to increase productive efficiencies are still scarce, mainly for paddy soils, present in a small part of the territory and yet very important for agricultural production in the country. The objective of work was to obtain parameters for classification of paddy soils using spectral data obtained by diffuse spectroradiometry. The surface and subsurface soil samples were collected by using a 90 m 2 sampling grid with equidistant points. Spectral analysis was performed in a laboratory by using a spectroradiometer with 1 nm resolution at 350–1100 nm and 2 nm resolution at 1100–2500 nm. The evaluation of spectral curves was performed on the basis of four different procedures. The statistical analysis was performed by using the procedures STEPDISC, STEPWISE, and DISCRIM of Statistical Analysis System (SAS) software. The results show that soil discriminations by the spectral data obtained in the laboratory were successful. However, the model that tests the procedure for soil discrimination has low accuracy of 47.79% when compared with other methods.
- Subjects :
- 010504 meteorology & atmospheric sciences
Soil test
Geography, Planning and Development
Soil classification
Soil science
04 agricultural and veterinary sciences
Stellar classification
01 natural sciences
Geography
Spectroradiometer
Soil water
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Statistical analysis
Spectral analysis
Computers in Earth Sciences
Spectral data
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 23529385
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Remote Sensing Applications: Society and Environment
- Accession number :
- edsair.doi...........4aed65a3b7ded4ab7816d2bf2bae1ca5