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Article

Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry

1
USDA Forest Service Pacific Northwest Research Station, 3625 93rd Ave SW, Olympia, WA 98512, USA
2
School of Forest Sciences, Faculty of Science and Forestry, University of Eastern Finland, P.O. Box 111, 80101 Joensuu, Finland
3
Washington State Department of Natural Resources, P.O. Box 47000, 1111 Washington Street SE, Olympia, WA 98504-7000, USA
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USDA Forest Service Pacific Northwest Research Station, 620 Southwest Main Suite 400, Portland, OR 97205, USA
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USDA Forest Service Pacific Northwest Research Station, University of Washington, P.O. Box 352100, Seattle, WA 98195-2100, USA
*
Author to whom correspondence should be addressed.
Forests 2019, 10(5), 397; https://doi.org/10.3390/f10050397
Received: 5 February 2019 / Revised: 19 April 2019 / Accepted: 1 May 2019 / Published: 7 May 2019
Low-cost methods to measure forest structure are needed to consistently and repeatedly inventory forest conditions over large areas. In this study we investigate low-cost pushbroom Digital Aerial Photography (DAP) to aid in the estimation of forest volume over large areas in Washington State (USA). We also examine the effects of plot location precision (low versus high) and Digital Terrain Model (DTM) resolution (1 m versus 10 m) on estimation performance. Estimation with DAP and post-stratification with high-precision plot locations and a 1 m DTM was 4 times as efficient (precision per number of plots) as estimation without remote sensing and 3 times as efficient when using low-precision plot locations and a 10 m DTM. These findings can contribute significantly to efforts to consistently estimate and map forest yield across entire states (or equivalent) or even nations. The broad-scale, high-resolution, and high-precision information provided by pushbroom DAP facilitates used by a wide variety of user types such a towns and cities, small private timber owners, fire prevention groups, Non-Governmental Organizations (NGOs), counties, and state and federal organizations. View Full-Text
Keywords: forest inventory; remote sensing; FIA; DAP; lidar; post-stratification forest inventory; remote sensing; FIA; DAP; lidar; post-stratification
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MDPI and ACS Style

Strunk, J.; Packalen, P.; Gould, P.; Gatziolis, D.; Maki, C.; Andersen, H.-E.; McGaughey, R.J. Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry. Forests 2019, 10, 397. https://doi.org/10.3390/f10050397

AMA Style

Strunk J, Packalen P, Gould P, Gatziolis D, Maki C, Andersen H-E, McGaughey RJ. Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry. Forests. 2019; 10(5):397. https://doi.org/10.3390/f10050397

Chicago/Turabian Style

Strunk, Jacob, Petteri Packalen, Peter Gould, Demetrios Gatziolis, Caleb Maki, Hans-Erik Andersen, and Robert J. McGaughey 2019. "Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry" Forests 10, no. 5: 397. https://doi.org/10.3390/f10050397

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