In this paper a study on the use of multi-temporal LiDAR data to monitor forest changes is presented. LiDAR data acquired at two different times (2007 and 2011) were chosen in order to analyze in details the changes associated to different forest conditions in the temporal domain such as tree growth, tree cuts, and changes in forest volume. The preliminary experimental results show that LiDAR data allow an effective and accurate monitoring of the forest changes.
Dalponte, M.; Liu, S.; Gianelle, D. (2018). Detection of forest changes with multi-temporal LiDAR data. In: 2018IGARSS: International Geoscience and Remote Sensing Symposium, Valencia, Spain, 22-27 July 2018. handle: http://hdl.handle.net/10449/50412
Detection of forest changes with multi-temporal LiDAR data
Dalponte M.
Primo
;Gianelle D.Ultimo
2018-01-01
Abstract
In this paper a study on the use of multi-temporal LiDAR data to monitor forest changes is presented. LiDAR data acquired at two different times (2007 and 2011) were chosen in order to analyze in details the changes associated to different forest conditions in the temporal domain such as tree growth, tree cuts, and changes in forest volume. The preliminary experimental results show that LiDAR data allow an effective and accurate monitoring of the forest changes.
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