Sensitivity of DEM, slope, aspect and watershed attributes to LiDAR measurement uncertainty

T. Goulden; C. Hopkinson; R. Jamieson; S. Sterling

doi:10.1016/j.rse.2016.03.005

Sensitivity of DEM, slope, aspect and watershed attributes to LiDAR measurement uncertainty

T. Goulden, C. Hopkinson, R. Jamieson, S. Sterling

Instrument Development Center

Research output: Contribution to journal › Article › peer-review

36 Citations (Scopus)

Original language	English
Pages (from-to)	23-35
Number of pages	13
Journal	Remote Sensing of Environment
Volume	179
DOIs	https://doi.org/10.1016/j.rse.2016.03.005
Publication status	Published - Jun 15 2016

ASJC Scopus Subject Areas

Soil Science
Geology
Computers in Earth Sciences

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10.1016/j.rse.2016.03.005

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title = "Sensitivity of DEM, slope, aspect and watershed attributes to LiDAR measurement uncertainty",

author = "T. Goulden and C. Hopkinson and R. Jamieson and S. Sterling",

note = "Funding Information: The authors would like to acknowledge funding contributions from the Canada Foundation for Innovation (CFI) for the airborne LiDAR system used in these studies, as well as Allyson Fox , Laura Chasmer , and Scotia Flight Services for airborne survey support. Tristan Goulden acknowledges graduate student funding from the National Science and Engineering Research Council (NSERC), and an Atlantic Innovation Fund grant from the Atlantic Canada Opportunities Agency (ACOA) administered through the Applied Geomatics Research Group (AGRG). Publisher Copyright: {\textcopyright} 2016 Elsevier Inc.",

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doi = "10.1016/j.rse.2016.03.005",

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AU - Goulden, T.

AU - Hopkinson, C.

AU - Jamieson, R.

AU - Sterling, S.

N1 - Funding Information: The authors would like to acknowledge funding contributions from the Canada Foundation for Innovation (CFI) for the airborne LiDAR system used in these studies, as well as Allyson Fox , Laura Chasmer , and Scotia Flight Services for airborne survey support. Tristan Goulden acknowledges graduate student funding from the National Science and Engineering Research Council (NSERC), and an Atlantic Innovation Fund grant from the Atlantic Canada Opportunities Agency (ACOA) administered through the Applied Geomatics Research Group (AGRG). Publisher Copyright: © 2016 Elsevier Inc.

PY - 2016/6/15

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VL - 179

SP - 23

EP - 35

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

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Sensitivity of DEM, slope, aspect and watershed attributes to LiDAR measurement uncertainty

ASJC Scopus Subject Areas

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