Quantificação da vegetação urbana por meio de dois sensores em Piracicaba

The disorganized and unplanned growth of cities have suppressed vegetation areas. Quantifications of the urban green areas in the field are costly and difficult. The remote sensing assists a set of effective techniques to evaluate the green areas inside urban centers. The objective was to analyze the capacity of urban vegetation quantification by means of two sensors with different spatial resolutions. The study area was Piracicaba city, at São Paulo. In the present work, images of two sensors were used to check their sensitivity: Landsat-8/OLI and UltraCam XPrime. The Normalized Difference Vegetation Index (NDVI) was used to identify the vegetation in the study area. To evaluate the performance of the sensors, the area of the classes were calculated in vegetation and non-vegetation. The NDVI differentiated the areas with the presence and absence of vegetation for the calculation of the urban vegetation area in Piracicaba. The Landsat-8/OLI quantified the vegetation of approximately 9,931 ha and no vegetation of 5,741 ha, UltraCam XPrime quantified 4,679 ha of vegetation and 10,999 ha of non-vegetation. This difference was influenced directly by the spatial resolution of the sensors. Therefore, the ability of UltraCam XPrime to detect vegetation in the urban area was efficient when compared to Landsat-8/OLI performance. It can helps the governmental and non-governmental organizations to define the urban and environmental planning.