Investigation of terrain illumination effects on vegetation indices and VI-derived phenological metrics in subtropical deciduous forests |
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| Authors: | Lênio Soares Galvão Fábio Marcelo Breunig Thiago Sousa Teles William Gaida Rafaelo Balbinot |
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| Institution: | 1. Instituto Nacional de Pesquisas Espaciais (INPE), Divis?o de Sensoriamento Remoto, Caixa Postal 515 ? 12227-010 – S?o José dos Campos ? SP, Brazillenio.galvao@inpe.br;3. Universidade Federal de Santa Maria (UFSM), Departamento de Engenharia Florestal, linha Sete de Setembro s/n, sala 59, bloco de apoio 4, CESNORS/UFSM, 98400-000 Frederico Westphalen, RS, Brazil;4. Instituto Nacional de Pesquisas Espaciais (INPE), Divis?o de Sensoriamento Remoto, Caixa Postal 515 ? 12227-010 – S?o José dos Campos ? SP, Brazil |
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| Abstract: | We used RapidEye and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra data to study terrain illumination effects on 3 vegetation indices (VIs) and 11 phenological metrics over seasonal deciduous forests in southern Brazil. We applied TIMESAT for the analysis of the Enhanced Vegetation Index (EVI) and the Normalized Difference Vegetation Index (NDVI) derived from the MOD13Q1 product to calculate phenological metrics. We related the VIs with the cosine of the incidence angle i (Cos i) and inspected percentage changes in VIs before and after topographic C-correction. The results showed that the EVI was more sensitive to seasonal changes in canopy biophysical attributes than the NDVI and Red-Edge NDVI, as indicated by analysis of non-topographically corrected RapidEye images from the summer and winter. On the other hand, the EVI was more sensitive to terrain illumination, presenting higher correlation coefficients with Cos i that decreased with reduction in the canopy background L factor. After C-correction, the RapidEye Red-Edge NDVI, NDVI, and EVI decreased 2%, 1%, and 13% over sunlit surfaces and increased up to 5%, 14%, and 89% over shaded surfaces, respectively. The EVI-related phenological metrics were also much more affected by topographic effects than the NDVI-derived metrics. From the set of 11 metrics, the 2 that described the period of lower photosynthetic activity and seasonal VI amplitude presented the largest correlation coefficients with Cos i. The results showed that terrain illumination is a factor of spectral variability in the seasonal analysis of phenological metrics, especially for VIs that are not spectrally normalized. |
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| Keywords: | vegetation indices topographic effects phenological metrics subtropical forests RapidEye MODIS |
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