Mapping vegetation types in Antarctic Peninsula and South Shetlands islands using Sentinel-2 images and Google Earth Engine cloud computing
Fonseca, E. L. d.; Santos, E. C. d.; Figueiredo, A. R. d.; Simoes, J. C.
Show abstract
The Antarctic vegetation maps are usually made using very high-resolution images collected by orbital sensors or unmanned aerial vehicles, generating isolated maps with information valid only for the time of image acquisition. In the context of global environmental change, mapping the current Antarctic vegetation distribution on a regular basis is necessary for a better understanding of the changes in this fragile environment. This work aimed to generate validated vegetation maps for the North Antarctic Peninsula and South Shetlands Islands based on Sentinel-2 images using cloud processing. Sentinel-2 imagery level 1C, acquired between 2016 and 2021 (January-April), were used. Land pixels were masked with the minimum value composite image for the "water vapor" band. The NDVI maximum value composite image was sliced, and its classes were associated with the occurrence of algae (0.15 - 0.20), lichens (0.20 - 0.50), and mosses (0.50 - 0.80). The vegetation map was validated by comparing it with those from the literature. The present study showed that Sentinel-2 images allow building a vegetation type distribution map for Antarctica Peninsula and South Shetlands Islands.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Effects of sea ice and wind speed on Phytoplankton spring bloom in Central and Southern Baltic Sea 95%
- Beyond Traditional Methods: Innovative Integration of LISS IV and Sentinel 2A Imagery for Unparalleled Insight into Himalayan Ibex Habitat Suitability 94%
- Suitability of resampled multispectral datasets for mapping flowering plants in the Kenyan savannah 93%
Similar papers in this journal
- Using machine learning to count Antarctic shag (Leucocarbo bransfieldensis) nests on images captured by Remotely Piloted Aircraft Systems 92%
- Spatial and temporal representation of marine fish occurrences available online 92%
- From local spectral species to global spectral communities: a benchmark for ecosystem diversity estimate by remote sensing 91%
Similar papers in this journal
- Geographical variability of bacterial communities of cryoconite holes of Andean glaciers 93%
- Annual phytoplankton dynamics in coastal waters from Fildes Bay, Western Antarctic Peninsula. 92%
- Grazing pressure-induced shift in planktonic bacterial communities with the dominance of acIII-A1 actinobacterial lineage in soda pans 90%
Similar papers in this journal
- Integrated Plankton and Trace Metal Analysis asIndicators of Organic Pollution Threats fromCarp-Cultured Ponds to Adjacent Ecosystems:Implications for Sustainability 91%
- Recent land use and land cover pressures on Iberian peatlands 90%
- Decoding the Baltic Sea's Past and Present: A simple Molecular Index for Ecosystem Assessment 90%
Similar papers in this journal
- High-resolution three-dimensional mapping of eelgrass (Zostera marina) habitat and blue carbon using drone-borne LiDAR 92%
- Spectral estimation of in-vivo wheat chlorophyll a/b ratio under contrasting water availabilities 91%
- Locating and dating land cover change events in the Renosterveld, a Critically Endangered shrubland ecosystem 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.