MonitoraSC
a new forest cover and land use map of Santa Catarina state
DOI:
https://doi.org/10.52945/rac.v34i2.1086Keywords:
thematic mapping, forest cover, Random Forest classificationAbstract
A forest cover and land use map provides fundamental information for territorial management, aiming at socioeconomic development, environmental planning and control and protection of natural resources. In this article, a new forest cover map is introduced, using synergies between field data from Santa Catarina Floristic and Forest Inventory (IFFSC) and remote sensing data. Landsat-8 OLI images (2017) were classified using the Random Forest algorithm. Twelve thematic classes were mapped; the minimum mapping area is 0.5 hectare. The map has an overall accuracy of 95%, with a confidence interval of 1.0% (alpha = 0.05). The average accuracy per class varies between 90% (agriculture) and 97% (restinga). Concerning the forest class, the map showed a 96.2% coincidence with the IFFSC sample points. Native forest cover (forests from the intermediate regeneration stage on) is present in 38.05% of the territory, reforestation in 10.46%, agriculture in 16.73% (including 1.77% of irrigated rice crops), pastures and natural savanna in 29.24%. The area of the original extension of the restinga was determined to be 1,773 km², of which 814.5 km² (or 45.9%) are covered by natural remnants, beaches and dunes. This mapping forms the basis for decision-making by public agents involved in territorial planning and management activities and will serve as a baseline for the continuous monitoring of the extent of the state's forest cover.
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Copyright (c) 2021 Alexander Christian Vibrans, Adilson L. Nicoletti, Veraldo Liesenberg, Julio C. Refosco, Luciana P. de A. Kohler, Artur R. Bizon, Débora V. Lingner, Fernanda Dal Bosco, Marcus M. Boeno, Murilo S. da Silva, Thales B. Pessatti
This work is licensed under a Creative Commons Attribution 4.0 International License.
