Large area forest yield estimation with pushbroom Digital Aerial PhotogrammetryAuthor(s): Jacob Strunk; Petteri Packalen; Peter Gould; Demetrios Gatziolis; Caleb Maki; Hans-Erik Andersen; Robert J. McGaughey
Source: Forests. 10(5): 397-.
Publication Series: Scientific Journal (JRNL)
Station: Pacific Northwest Research Station
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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.
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CitationStrunk, Jacob; Packalen, Petteri; Gould, Peter; Gatziolis, Demetrios; Maki, Caleb; Andersen, Hans-Erik; McGaughey, Robert J. 2019. Large area forest yield estimation with pushbroom Digital Aerial Photogrammetry. Forests. 10(5): 397-. https://doi.org/10.3390/f10050397.
KeywordsForest inventory, remote sensing, FIA, DAP, lidar, post-stratification.
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