%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.13.54.32
%2 sid.inpe.br/marte2/2017/10.27.13.54.36
%@isbn 978-85-17-00088-1
%F 60039
%T Intercomparison between forest cover mapping for two areas in Santa Catarina (Brazil)
%D 2017
%A Nicoletti, Adilson Luiz,
%A Marco, Eva Sevillano,
%A Boeno, Marcus Moresco,
%A Liesenberg, Veraldo,
%A Refosco, Julio Cesar,
%A Lingner, Débora Vanessa,
%A Vibrans, Alexander Christian,
%@electronicmailaddress alnicoletti@al.furb.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 4723-4730
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Land cover mapping, especially with regards to forest cover, resulting from different methodologies will likelydisagree in forest cover proportions. This study evaluates and compares consolidated thematic maps, in vectorand raster formats, derived from national and international research efforts at larger regional or global extents.The municipalities of Blumenau (BL), Rio do Oeste and Presidente Getúlio (RO/PG), in the state of SantaCatarina (Brazil), were selected as representative of both a high percent and a low percent forest cover within thesubtropical evergreen rainforest. In this characterization of the forest cover response at local scales when usinggeneralized products, the raster products provided the highest scores: e.g., 97% in BL and 83% in RO/PG forrasters versus 70% and 46% for vectors respectively. The minimum scores attained were respectively 65% and34% (rasters) versus 52% and 18% (vectors). All in all, on the basis of fotointerpretation and field workestimates of >50% of forest surface in BL and <30% of forest in RO/PG, too divergent over/under-rated scoresare found. As expected, overlap of maps resulted in reduced coincident forest surface: agreement of less than50% (e.g., 35% for BL), decreased considerably to a 5% in RO/PG. Nonetheless, vector-vector and raster-rastercomparisons work better (e.g., agreement in RO/PG vector 10.4% and 13.5% raster). Although the diversity ofmethods and forest definitions lie beneath the discrepancies found, the need of homogeneous accurate workflowsand products in forest cover estimation and monitoring at regional and local scale is proved.
%9 Floresta e outros tipos de vegetação
%@language en
%3 60039.pdf