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Evaluation of UAV and satellite-derived NDVI to map maritime Antarctic vegetation
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Orientador(es)
Resumo(s)
Expansion of Antarctic vegetation in ice-free areas underlines the need for effective remote sensing techniques to
properly monitor the changes. Detection and mapping of vegetation remains limited in the Antarctic environment given the complexity of its surface coverage. Some cryptogamic species exhibit low reflectance in the nearinfrared region and are not easily detected by vegetation indices, such as the normalized difference vegetation
index (NDVI). In addition, spectral reflectance of Antarctic vegetation is highly variable according to seasonal
conditions, which may influence NDVI results. As ultra-high resolution aerial imagery allows for a detailed
analysis of vegetation and enables the validation of satellite imagery, in this study we assess the ability of the
NDVI from unmanned aerial vehicle (UAV), Sentinel-2, and Landsat 8 to identify vegetated areas in the ice-free
environment of Hope Bay, Antarctic Peninsula. NDVI classification with class ranges set by statistical parameters
(i.e., mean and standard deviation) is performed. The results show that different sensors provide different NDVI
values for the same vegetation class. NDVI classification enabled the identification of areas showing vegetation
cover, which are in accordance with the manually mapped areas in the UAV image. Correspondence in vegetation distribution and classes can be observed across all classifications, demonstrating that aerial and satellite
imagery may be used for Antarctic vegetation monitoring. A close association between NDVI classes and Antarctic vegetation type is identified, where lichens are generally classified in lower probability classes, and algae
and moss in higher probability classes. This article shows the potential of NDVI applied to Antarctic vegetation
and the significance of data statistical parameters in the selection of thresholds, reducing the need for groundtruth information in remote areas.
Descrição
Palavras-chave
Vegetation mapping NDVI Antarctica UAV Landsat Sentinel-2 Remote sensing
Contexto Educativo
Citação
Sotille, M. E., Bremer, U. F., Vieira, G., Velho, L. F., Petsch, C., & Simões, J. C. (2020). Evaluation of UAV and satellite-derived NDVI to map maritime Antarctic vegetation. Applied Geography, 125, 102322. https://doi.org/10.1016/j.apgeog.2020.102322
Editora
Elsevier