Using different satellite imagery and classification techniques to assess the contribution of trees outside forests in the municipality of Maringá, Brazil

Revista Ceres

Betina Doubrawa²  Ana Paula Dalla Corte¹  Carlos Roberto Sanquetta¹ 

[1] ,Universidade Federal do Paraná Departamento de Ciências Florestais Curitiba Paraná ,Brasil

关键词: CCD sensor imagery;    HRC sensor imagery;    mapping;    remote sensing;    urban greens;    imagem CCD;    imagem HRC;    mapeamento;    sensoriamento remoto;    verdes urbanos;   

DOI  :  10.1590/S0034-737X2013000400006

来源: SciELO

【 摘 要 】

Forest cover of the Maringá municipality, located in northern Parana State, was mapped in this study. Mapping was carried out by using high-resolution HRC sensor imagery and medium resolution CCD sensor imagery from the CBERS satellite. Images were georeferenced and forest vegetation patches (TOFs - trees outside forests) were classified using two methods of digital classification: reflectance-based or the digital number of each pixel, and object-oriented. The areas of each polygon were calculated, which allowed each polygon to be segregated into size classes. Thematic maps were built from the resulting polygon size classes and summary statistics generated from each size class for each area. It was found that most forest fragments in Maringá were smaller than 500 m². There was also a difference of 58.44% in the amount of vegetation between the high-resolution imagery and medium resolution imagery due to the distinct spatial resolution of the sensors. It was concluded that high-resolution geotechnology is essential to provide reliable information on urban greens and forest cover under highly human-perturbed landscapes.

【 授权许可】

CC BY   
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