Investigation of terrain illumination effects on vegetation indices and VI-derived phenological metrics in subtropical deciduous forests

Autor(es)

Galvao, Lenio Soares ^[1] ; Breunig, Fabio Marcelo ^[2] ; Teles, Thiago Sousa ^[1] ; Gaida, William ^[2] ; Balbinot, Rafaelo ^[2]

Afiliação do(s) autor(es)

^[1] Inst Nacl Pesquisas Espaciais, Div Sensoriamento Remoto, Caixa Postal 515, BR-12227010 Sao Jose Dos Campos, SP - Brazil

^[2] Univ Fed Santa Maria, Dept Engn Florestal, CESNORS UFSM, Linha Sete Setembro S-N, Sala 59, Bloco Apoio 4, BR-98400000 Frederico Westphalen, RS - Brazil

• Tipo de documento: Artigo Científico
• Fonte: GIScience & Remote Sensing; v. 53, n. 3, p. 360-381, MAY 3 2016.
• Citações Web of Science: 8

Resumo

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. (AU)

• Processo FAPESP: 13/03908-3 - Uso combinado de imagens dos satélites MODIS/Terra e RapidEye no estudo da floresta subtropical do Parque Estadual do Turvo (RS)
• Beneficiário: Lenio Soares Galvão
• Modalidade de apoio: Auxílio à Pesquisa - Regular