New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar.
Drone
Global Ecosystem Dynamics Investigation (GEDI)
Lidar
Remote sensing
UAV
Journal
Surveys in geophysics
ISSN: 0169-3298
Titre abrégé: Surv Geophys
Pays: Netherlands
ID NLM: 101659560
Informations de publication
Date de publication:
2019
2019
Historique:
received:
14
10
2018
accepted:
02
04
2019
entrez:
10
8
2019
pubmed:
10
8
2019
medline:
10
8
2019
Statut:
ppublish
Résumé
Current and planned space missions will produce aboveground biomass density data products at varying spatial resolution. Calibration and validation of these data products is critically dependent on the existence of field estimates of aboveground biomass and coincident remote sensing data from airborne or terrestrial lidar. There are few places that meet these requirements, and they are mostly in the northern hemisphere and temperate zone. Here we summarize the potential for low-altitude drones to produce new observations in support of mission science. We describe technical requirements for producing high-quality measurements from autonomous platforms and highlight differences among commercially available laser scanners and drone aircraft. We then describe a case study using a heavy-lift autonomous helicopter in a temperate mountain forest in the southern Czech Republic in support of calibration and validation activities for the NASA Global Ecosystem Dynamics Investigation. Low-altitude flight using drones enables the collection of ultra-high-density point clouds using wider laser scan angles than have been possible from traditional airborne platforms. These measurements can be precise and accurate and can achieve measurement densities of thousands of points · m
Identifiants
pubmed: 31395993
doi: 10.1007/s10712-019-09529-9
pii: 9529
pmc: PMC6647463
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
959-977Références
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