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ISPRS Int. J. Geo-Inf. 2019, 8(1), 24; https://doi.org/10.3390/ijgi8010024

A Comparison of Standard Modeling Techniques Using Digital Aerial Imagery with National Elevation Datasets and Airborne LiDAR to Predict Size and Density Forest Metrics in the Sapphire Mountains MT, USA

1
RedCastle Resources, Inc. Onsite contractor with Northern Region Geospatial Group, USDA Forest Service, 26 Fort Missoula Road, Missoula, MT 59808, USA
2
Rocky Mountain Research Station, USDA Forest Service, 800 E. Beckwith, Missoula, MT, 59801, USA
3
Northern Region Geospatial Group, USDA Forest Service, 26 Fort Missoula Road, Missoula, MT 59808, USA
*
Author to whom correspondence should be addressed.
Received: 21 November 2018 / Revised: 26 December 2018 / Accepted: 7 January 2019 / Published: 11 January 2019
(This article belongs to the Special Issue Geographic Information Science in Forestry)
PDF [1148 KB, uploaded 11 January 2019]

Abstract

In recent years airborne Light Detection and Ranging (LiDAR) technology has received a great deal of attention. Using airborne LiDAR, analysts have successfully related height measurements to forest characteristics such as tree size, basal area, and number of trees. Similarly, National Agricultural Imagery Program (NAIP) digital aerial imagery in combination with elevation datasets such as the National Elevation Dataset (NED) have been used to estimate similar forest characteristics. Few comparisons, however, have been made between using airborne LiDAR, NAIP, and NED to estimate forest characteristics. In this study we compare airborne LiDAR, NAIP, and NAIP assisted NED based models of forest characteristics commonly used within forest management at the spatial scale of field plots and forest stands. Our findings suggest that there is a high degree of similarity in model fit and estimated values when using LiDAR, NAIP, and NAIP assisted NED predictor variables.
Keywords: modeling; comparison; forest metrics; NAIP; LIDAR; AIC; Montana modeling; comparison; forest metrics; NAIP; LIDAR; AIC; Montana
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ahl, R.; Hogland, J.; Brown, S. A Comparison of Standard Modeling Techniques Using Digital Aerial Imagery with National Elevation Datasets and Airborne LiDAR to Predict Size and Density Forest Metrics in the Sapphire Mountains MT, USA. ISPRS Int. J. Geo-Inf. 2019, 8, 24.

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