Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 34, Issue 5, Pages 1561-1575Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431161.2012.723148
Keywords
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Funding
- Academy of Finland
- Swedish International Development Authority (SIDA)
- Swedish Research Council for Environment, Agricultural Sciences, and Spatial Planning (FORMAS)
- Akademikernas Erkanda Arbetsloshetskassa
- Swedish Cultural Fund in Finland
- Oscar Oflund Foundation
- Kone Foundation
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This article describes a method for detailed mapping of ecological variation in a tropical rainforest based on field inventory of pteridophytes (ferns and lycophytes) and remote sensing using Landsat Enhanced Thematic Mapper Plus (ETM+) imagery. Previously known soil cation optima of the pteridophyte species were first used in calibration, i.e. to infer soil cation concentrations for sites on the basis of their pteridophyte species composition. Multiple linear regression based on spectral reflectance values in the Landsat image was then used to derive an equation that allowed the prediction of these calibrated soil values for unvisited sites in the study area. The predictive accuracy turned out to be high: the mean absolute error, as estimated by leave-one-out cross-validation, was just 7% of the total range of calibrated soil values. This method for detailed mapping of natural environmental variability in lowland tropical rainforest has applications for land-use planning, such as wildlife management, forestry, biodiversity conservation, and payments for carbon sequestration.
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