Search Results - "Strunk, Jacob"

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Stand validation of lidar forest inventory modeling for a managed southern pine forest.

Authors: Strunk, Jacob L. McGaughey, Robert J.

Source: Canadian Journal of Forest Research. 2023, Vol. 53 Issue 2, p71-89. 19p.

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Circular or square plots in ALS-based forest inventories—does it matter?

Authors: Packalen, Petteri Strunk, Jacob Maltamo, Matti et al.

Source: Forestry: An International Journal of Forest Research. Jan2023, Vol. 96 Issue 1, p49-61. 13p.

Pushbroom Photogrammetric Heights Enhance State-Level Forest Attribute Mapping with Landsat and Environmental Gradients.

Authors: Strunk, Jacob L. Bell, David M. Gregory, Matthew J.

Source: Remote Sensing. Jul2022, Vol. 14 Issue 14, pN.PAG-N.PAG. 18p.

Correction: stand validation of LiDAR forest inventory modeling for a managed southern pine forest.

Authors: Strunk, Jacob L. McGaughey, Robert J.

Source: Canadian Journal of Forest Research. 2023, Vol. 53 Issue 2, p133-133. 1p.

An Examination of Diameter Density Prediction with k-NN and Airborne Lidar.

Authors: Strunk, Jacob L. Gould, Peter J. Packalen, Petteri et al.

Source: Forests (19994907). Nov2017, Vol. 8 Issue 11, p444. 16p.

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Comparing statistical techniques to classify the structure of mountain forest stands using CHM-derived metrics in Trento province (Italy).

Authors: Torresan, Chiara Strunk, Jacob Zald, Harold S. J. et al.

Source: European Journal of Remote Sensing; 2014, Vol. 47 Issue 1, p75-94, 20p

Model-Assisted Forest Yield Estimation with Light Detection and Ranging.

Authors: Strunk, Jacob L. Reutebuch, Stephen E. Andersen, Hans-Erik et al.

Source: Western Journal of Applied Forestry. Apr2012, Vol. 27 Issue 2, p53-59. 7p.

Using Airborne Light Detection and Ranging as a Sampling Tool for Estimating Forest Biomass Resources in the Upper Tanana Valley of Interior Alaska.

Authors: Andersen, Hans-Erik Strunk, Jacob Temesgen, Hailemariam

Source: Western Journal of Applied Forestry. Oct2011, Vol. 26 Issue 4, p157-164. 8p.

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Resolution dependence in an area-based approach to forest inventory with airborne laser scanning.

Authors: Packalen, Petteri Strunk, Jacob Packalen, Tuula et al.

Source: Remote Sensing of Environment. Apr2019, Vol. 224, p192-201. 10p.

Subjects: Forest surveys, Airborne lasers, Optical scanners, Prediction models, Error rates

Comparing Modeling Methods for Predicting Forest Attributes Using LiDAR Metrics and Ground Measurements.

Authors: Shin, Joonghoon Temesgen, Hailemariam Strunk, Jacob L. et al.

Source: Canadian Journal of Remote Sensing; 2016, Vol. 42 Issue 6, p739-765, 27p

An urban forest-inventory-and-analysis investigation in Oregon and Washington.

Authors: Strunk, Jacob L. Mills, John R. Ries, Paul et al.

Source: Urban Forestry & Urban Greening. Aug2016, Vol. 18, p100-109. 10p.

Prediction of Forest Attributes with Field Plots, Landsat, and a Sample of Lidar Strips: A Case Study on the Kenai Peninsula, Alaska.

Authors: Strunk, Jacob L. Temesgen, Hailemariam Andersen, Hans-Erik et al.

Source: Photogrammetric Engineering & Remote Sensing. Feb2014, Vol. 80 Issue 2, p143-150. 8p.

Subjects: Landsat satellites, Linear statistical models, LIDAR, Vegetation mapping, Forest mapping

Geographic Terms: Kenai Peninsula (Alaska)

Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry.

Authors: Strunk, Jacob Packalen, Petteri Gould, Peter et al.

Source: Forests (19994907). May2019, Vol. 10 Issue 5, p397. 1p.

Predicting the spatial pattern of trees by airborne laser scanning.

Authors: Packalen, Petteri Vauhkonen, Jari Kallio, Eveliina et al.

Source: International Journal of Remote Sensing; Jul2013, Vol. 34 Issue 14, p5154-5165, 12p, 2 Color Photographs, 1 Black and White Photograph, 4 Charts, 1 Graph, 1 Map