Antarctic biological soil crusts surface reflectance patterns from landsat and sentinel-2 images

Abstract The remote sensing techniques must be used to obtain long-term information in remote areas, like the Antarctic continent, to monitor the environmental productivity and its changes. The aim of this work was to analyze the surface reflectance profile patterns for the Antarctic biological soil...

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Bibliographic Details
Published in:Anais da Academia Brasileira de Ciências
Main Authors: ELIANA L. FONSECA, EDVAN C. DOS SANTOS, ANDERSON R. DE FIGUEIREDO, JEFFERSON C. SIMÕES
Format: Article in Journal/Newspaper
Language:English
Published: Academia Brasileira de Ciências 2022
Subjects:
biophysical parameters
cross calibration
classification
Google Earth Engine
time-series analysis
vegetation
Science
Q
Antarctic
The Antarctic
South Shetland Islands
Nelson Island
Antarc*
Online Access:https://doi.org/10.1590/0001-3765202220210596
https://doaj.org/article/8e6a12f322924df48bdca81e65ab0c85
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Summary:Abstract The remote sensing techniques must be used to obtain long-term information in remote areas, like the Antarctic continent, to monitor the environmental productivity and its changes. The aim of this work was to analyze the surface reflectance profile patterns for the Antarctic biological soil crusts (algae, lichens, and mosses) in an area of Nelson Island (South Shetland Islands, maritime Antarctic), calculated from Landsat and Sentinel-2 images to identify its similarities and differences due to targets, sensors and acquired date. The surface reflectance values for Antarctic biological soil crusts are similar for those observed for biological soil crusts in other Earth extreme environments, like deserts. In Landsat images, the differences among biological soil crusts surface reflectance were identified at visible and near-infrared wavelengths and for Sentinel-2 images, the differences occur at visible, red-edge and shortwave infrared wavelengths, showing the feasibility of using surface reflectance products to identify these different crusts, despite its inherent pixel spectral mixture. Long-term biophysical parameters from such crusts as retrieved from orbital data is not possible due to very low cloud-free images over the Antarctic, which prevents building a consistent surface reflectance time-series which covers all biological soil crusts growth season.

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