The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W12-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W12-2020, 465–469, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-465-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W12-2020, 465–469, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-465-2020

  06 Nov 2020

06 Nov 2020

IDENTIFYING CARBON SINKS WITH THE USE OF HYPERSPECTRAL IMAGES: A POTENTIAL TOOL FOR LANDSCAPE PLANNING

R. Amaral1, G. M. M. Baptista2, and M. C. L. Bezerra3 R. Amaral et al.
  • 1Architecture and Urbanism Faculty, University of Brasília, 70842-970, Brasília, Brazil
  • 2Institute of Geoscience, University of Brasília, 70842-970, Brasília, Brazil
  • 3Architecture and Urbanism Faculty, University of Brasília, 70842-970, Brasília, Brazil

Keywords: Remote Sensing, Hyperion, Hyperspectral images, Ecosystem Services, Landscape Planning, Carbon Sequestration, Carbon Sinks

Abstract. There is a lack of assertive carbon sink identification techniques and guidelines to underpin landscape planning based on the promotion and protection of support ecosystem services, as well as other categories, needed for human well-being (regulation, provision and culture). Considering this, the present article aims to identify carbon sinks in stretches of the territorial landscape of Distrito Federal, by the use of remote sensing tools. To this end, it was applied the hyperspectral index ICO2 in a stretch of Distrito Federal’s landscape, seeking variations of CO2 in the atmospheric air column of areas with carbon sink action. Then, it was applied an index – CO2flux – in the same stretch, in a different approach: variations in carbon sequestration in vegetation performance (photosynthetic efficacy) in areas with carbon sink behavior. In sequence, the correlation between the indexes above was verified for the validation of the carbon sinks that have been found by both methods.