NDLI: Urban tree health assessment using airborne hyperspectral and LiDAR imagery

Content Provider	Scilit
Author	Degerickx, J. Roberts, D. A. McFadden, J. P. Hermy, M. Somers, B.
Copyright Year	2018
Description	Journal: International Journal of Applied Earth Observation and Geoinformation
Related Links	https://escholarship.org/content/qt2zp6n6kv/qt2zp6n6kv.pdf?t=pwoqpw
Ending Page	38
Page Count	13
Starting Page	26
ISSN	15698432
DOI	10.1016/j.jag.2018.05.021
Journal	International Journal of Applied Earth Observation and Geoinformation
Volume Number	73
Language	English
Publisher	Elsevier BV
Publisher Date	2018-12-01
Access Restriction	Open
Subject Keyword	Journal: International Journal of Applied Earth Observation and Geoinformation Imaging Science Remote Sensing Tree Segmentation Leaf Area Index Spectral Indices Partial Least Squares Regression
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Computers in Earth Sciences Management, Monitoring, Policy and Law Global and Planetary Change

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Urban tree health assessment using airborne hyperspectral and LiDAR imagery