New Airborne Taxonomic Mapping System maps forests and plant species at high resolution

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This summer, researchers at the Carnegie Institution for Science pioneered a new airborne LiDAR based mapping system capable of mapping forest structure to 10cm and detecting dozens of other signals, including “photosynthetic pigment concentrations, water content of leaves, defense compounds like phenols, structural compounds such as lignin and cellulose, as well as phosphorous and other micronutrients — all of which can be used to build signatures to distinguish individual plant species”. The system was deployed over the Amazon rainforest in Peru enabling the team to map over 100,000 acres per day. In combination with extensive ground surveys to identify plant signatures, they were able to use the data to remotely identify hundreds of plant species based on their spectral signatures.  The full story was recently published in Yale Environment 360.

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geomatics blog

This blog features noteworthy news of interest to the Great Plains LCC geomatics community. Here you will find information on new spatial datasets, applications and projects, in addition to other news relevant to science, conservation, climate change, and sustainability across the GPLCC region and beyond. The ability to leave comments on blog posts has been disabled due to the high amount of spam.

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