Sentence examples for remotely sensed trees from inspiring English sources

Fig. 1 LCA inventory of remotely sensed trees in Berlin, Germany.

This should not be taken to underestimate recent options for making use of remotely sensed tree species classification.

Therefore, the variability of remotely sensed tree dimensions, as mentioned earlier in this review, does not allow for deriving the specific age of a single tree.

For example, remotely sensed tree dimensions would allow for improved monitoring of residual biomass, large quantities of which can be obtained from urban forests for energy purposes [126].

Due to the variability of remotely sensed tree dimensions, we suggest stretching the intervals for monitoring urban forests in order to retrieve notable physical changes of tree growth and derived parameters.

Additionally, Sajdak et al. [127] applied predictive modeling approaches and showed correlations between residual biomass and the parameters of crown diameter or stem DBH, which could be derived from remotely sensed individual trees.

Phloem and air temperatures, MPB spatial impact data from USDA Forest Service aerial detection surveys, and remotely sensed host tree density data were used to parameterize the model using a maximum likelihood approach.

We did this by providing area-wide details of remotely sensed individual tree species.

Our case study from Berlin could use remotely sensed individual tree species as consistent inventory of a life cycle assessment.

This has made remotely sensed individual tree detection (ITD) a great advantage, though it has so far only rarely been applied in the urban context [53].

Our case study results and discussion exemplify carbon offset long-term prognoses by combining recent progress of remotely sensed individual tree species and an LCA of 60 years.