%0 Journal Article
%T High resolution remote sensing for reducing uncertainties in urban forest carbon offset life cycle assessments
%A Jan Tigges
%A Tobia Lakes
%J Archive of "Carbon Balance and Management".
%D 2017
%R 10.1186/s13021-017-0085-x
%X 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
%K Urban remote sensing
%K Life cycle assessment
%K Urban forests
%K Carbon offset
%K Uncertainty
%K High resolution
%K Individual tree detection
%K Tree species
%K Change detection
%K Climate change mitigation
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628095/