Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Forest Sciences
A Test Of The Mean Distance Method For Forest Regeneration Assessment, Daniel Unger, Jeremy P. Stovall, Brian P. Oswald, David Kulhavy, I-Kuai Hung
A Test Of The Mean Distance Method For Forest Regeneration Assessment, Daniel Unger, Jeremy P. Stovall, Brian P. Oswald, David Kulhavy, I-Kuai Hung
Faculty Publications
A new distance-based estimator for forest regeneration assessment, the mean distance method, was developed by combining ideas and techniques from the wandering quarter method, T-square sampling and the random pairs method. The performance of the mean distance method was compared to conventional 4.05 square meter plot sampling through simulation analysis on 405 square meter blocks of a field surveyed clumped distribution and a computer generated random distribution at different levels of density of 100, 50 and 25%. The mean distance method accurately estimated density on the random populations but the mean distance method estimates were more variable than those of …
Accuracy Assessment Of Land Cover Maps Of Forests Within An Urban And Rural Environment, Daniel Unger, I-Kuai Hung, David L. Kulhavy
Accuracy Assessment Of Land Cover Maps Of Forests Within An Urban And Rural Environment, Daniel Unger, I-Kuai Hung, David L. Kulhavy
Faculty Publications
Land cover maps of forests within an urban and rural environment derived from high spatial resolution multispectral data (QuickBird) and medium spatial resolution multispectral data (Landsat ETM+ and SPOJ 4) were compared to ascertain whether increased spatial resolution increases map accuracy of forests and whether map accuracy varies across land cover classification schemes. It is commonly assumed that increased spatial resolution would probably increase land cover map accuracy regardless of land cover classification methodology. This study assessed whether that assumption is correct within a rural and an urban environment. Map accuracy for modified National Land Cover Data (NLCD) 2001 Level …
Validating One-On-One Gps Instruction Methodology For Natural Resource Area Assessments Using Forestry Undergraduate Students, Daniel R. Unger
Validating One-On-One Gps Instruction Methodology For Natural Resource Area Assessments Using Forestry Undergraduate Students, Daniel R. Unger
Faculty Publications
Undergraduate students pursuing a Bachelor of Science in Forestry (BSF) at Stephen F. Austin State University (SFA) attend an intensive 6-week residential hands-on instruction in applied field methods. The intensive 6-week instruction includes learning how to use the Global Positioning System (GPS) with a Garmin eTrex HCx GPS unit to accurately calculate area. Students were instructed how to assess the accuracy of their GPS collected waypoints by calculating the Root Mean Square Error (RMSE) comparing their GPS collected area measurements with instructor on-screen digitized area. Student’s average area RMSE between digitized and GPS derived area was 0.015 hectares, whereas instructor’s …
Accuracy Evaluation Of Hand Held Gnss Units In Applied Urban Forestry (Abstract), Daniel Unger, Raymond Whitlock, Yanli Zhang, Jon Erhart, Randy Carmical
Accuracy Evaluation Of Hand Held Gnss Units In Applied Urban Forestry (Abstract), Daniel Unger, Raymond Whitlock, Yanli Zhang, Jon Erhart, Randy Carmical
Faculty Posters
No abstract provided.