Observing spring and fall phenology in a deciduous forest with aerial drone imagery

Sensors (Switzerland)

Volumn 17, Issue 12, 2017, Pages

  Klosterman, Stephen ^a   Richardson, Andrew D ^a,b,c  

^a HARVARD UNIVERSITY   (United States)

^b Center for Materials Interfaces in Research and Applications   (United States)

^c NORTHERN ARIZONA UNIVERSITY   (United States)

Author keywords

Drone; Harvard Forest; Leaf color; Phenology; Plant area index; UAV

Indexed keywords

BIOLOGY; COLOR; DRONES; ECOLOGY; ECOSYSTEMS; IMAGE ANALYSIS; IMAGE RESOLUTION; LIFE CYCLE; PHOTOGRAMMETRY; PLANTS (BOTANY); UNMANNED AERIAL VEHICLES (UAV);

DIGITAL IMAGE ANALYSIS; HARVARD FORESTS; LEAF COLOR; PHENOLOGY; PHOTOGRAMMETRIC TECHNIQUE; PLANT AREAS; TEMPERATE DECIDUOUS FOREST; TERRESTRIAL ECOSYSTEMS;

FORESTRY;

ECOSYSTEM; FOREST; PLANT LEAF; SEASON; TREE;

ECOSYSTEM; FORESTS; PLANT LEAVES; SEASONS; TREES;

EID: 85037727701     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17122852     Document Type: Article

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