论文信息 - Synergetic potentials of C-band SAR and multi-spectral imagery for tropical classifications in Northern Mato Grosso (BR)

Synergetic potentials of C-band SAR and multi-spectral imagery for tropical classifications in Northern Mato Grosso (BR)

Using monthly as well as annual statistics, we investigate the potentials of synergetic utilization of multispectral and C-band SAR data for the classification of a study site in the central Brazilian state of Mato Grosso. We aim at the classification of five tropical land cover classes (primary forests, secondary vegetation, pasture, agricultural, water), and highlight the potentials of standalone S1 classification, as well as the synergetic potentials using two sensors. The overall size of the study site is about 300.000 km2, encompassing multiple tiles of S1 and LS-8. Results show S1 classification alone to yield accuracies of up to 88% (not accounting for secondary vegetation), and synergetic approaches to pass area adjusted overall accuracies of 95 %. While we were not able to sufficiently separate primary from secondary forests, forests overall as well as water yielded UA's and PA's just below 100 %.

Ron Hagensieker | Björn Waske

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