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- 2017
High resolution remote sensing for reducing uncertainties in urban forest carbon offset life cycle assessmentsDOI: 10.1186/s13021-017-0085-x Keywords: Urban remote sensing, Life cycle assessment, Urban forests, Carbon offset, Uncertainty, High resolution, Individual tree detection, Tree species, Change detection, Climate change mitigation Abstract: LCA inventory of remotely sensed trees in Berlin, Germany. Spatial distribution of a dominant tree species and b tree density per unit of land cover [15]. Class “mix” refers to difficult-to-classify tree species in the tree canopy. Approximately 1.4 million trees were classified with a mean tree height of 15 m and a mean DBH of 36 cm. No data was available for the outer black areas, which are mostly covered by forest
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