Quality improvement of loblolly pine (Pinus taeda) plantation inventory GIS using Shuttle Radar Topography Mission (STRM) and the National Elevation Dataset (NED)

Joon Heo, Jin Woo Kim, Sitansu Pattnaik, Hong Gyoo Sohn

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

An essential element of timber inventory management involves organizing cruises to generate/update databases. Timely updates are crucial to maintaining any inventory. The availability of Shuttle Radar Topography Mission (STRM) and National Elevation Dataset (NED) have provided additional reference datasets to timber managers to independently conduct quality improvement of their inventories. The difference between SRTM and NED is known to be an effective measure of tree heights. With respect to 2612 loblolly pine (Pinus taeda) plantation stands (>15 ha) in western Louisiana and eastern Texas, the estimated tree height was correlated using plantation year in inventory GIS and the coefficient of determination R2 was 0.694. Outliers from the trend line were identified and evaluated for potential stand's attribute error. Using historical satellite images, three stands were confirmed to have errors in plantation year. A solid procedure was developed through this experiment, which is applicable to large industrialized timberlands. This study demonstrates that SRTM and NED can present an effective and efficient solution for quality improvement of timber inventory GIS.

Original languageEnglish
Pages (from-to)61-68
Number of pages8
JournalForest Ecology and Management
Volume233
Issue number1
DOIs
Publication statusPublished - 2006 Sep 1

Fingerprint

Shuttle Radar Topography Mission
radar
Pinus taeda
topography
plantation
plantations
GIS
timber
outlier
woodlands
managers
experiment

All Science Journal Classification (ASJC) codes

  • Forestry
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law

Cite this

@article{49bf11d5c2224776a14991adff912c3e,
title = "Quality improvement of loblolly pine (Pinus taeda) plantation inventory GIS using Shuttle Radar Topography Mission (STRM) and the National Elevation Dataset (NED)",
abstract = "An essential element of timber inventory management involves organizing cruises to generate/update databases. Timely updates are crucial to maintaining any inventory. The availability of Shuttle Radar Topography Mission (STRM) and National Elevation Dataset (NED) have provided additional reference datasets to timber managers to independently conduct quality improvement of their inventories. The difference between SRTM and NED is known to be an effective measure of tree heights. With respect to 2612 loblolly pine (Pinus taeda) plantation stands (>15 ha) in western Louisiana and eastern Texas, the estimated tree height was correlated using plantation year in inventory GIS and the coefficient of determination R2 was 0.694. Outliers from the trend line were identified and evaluated for potential stand's attribute error. Using historical satellite images, three stands were confirmed to have errors in plantation year. A solid procedure was developed through this experiment, which is applicable to large industrialized timberlands. This study demonstrates that SRTM and NED can present an effective and efficient solution for quality improvement of timber inventory GIS.",
author = "Joon Heo and Kim, {Jin Woo} and Sitansu Pattnaik and Sohn, {Hong Gyoo}",
year = "2006",
month = "9",
day = "1",
doi = "10.1016/j.foreco.2006.06.007",
language = "English",
volume = "233",
pages = "61--68",
journal = "Forest Ecology and Management",
issn = "0378-1127",
publisher = "Elsevier",
number = "1",

}

TY - JOUR

T1 - Quality improvement of loblolly pine (Pinus taeda) plantation inventory GIS using Shuttle Radar Topography Mission (STRM) and the National Elevation Dataset (NED)

AU - Heo, Joon

AU - Kim, Jin Woo

AU - Pattnaik, Sitansu

AU - Sohn, Hong Gyoo

PY - 2006/9/1

Y1 - 2006/9/1

N2 - An essential element of timber inventory management involves organizing cruises to generate/update databases. Timely updates are crucial to maintaining any inventory. The availability of Shuttle Radar Topography Mission (STRM) and National Elevation Dataset (NED) have provided additional reference datasets to timber managers to independently conduct quality improvement of their inventories. The difference between SRTM and NED is known to be an effective measure of tree heights. With respect to 2612 loblolly pine (Pinus taeda) plantation stands (>15 ha) in western Louisiana and eastern Texas, the estimated tree height was correlated using plantation year in inventory GIS and the coefficient of determination R2 was 0.694. Outliers from the trend line were identified and evaluated for potential stand's attribute error. Using historical satellite images, three stands were confirmed to have errors in plantation year. A solid procedure was developed through this experiment, which is applicable to large industrialized timberlands. This study demonstrates that SRTM and NED can present an effective and efficient solution for quality improvement of timber inventory GIS.

AB - An essential element of timber inventory management involves organizing cruises to generate/update databases. Timely updates are crucial to maintaining any inventory. The availability of Shuttle Radar Topography Mission (STRM) and National Elevation Dataset (NED) have provided additional reference datasets to timber managers to independently conduct quality improvement of their inventories. The difference between SRTM and NED is known to be an effective measure of tree heights. With respect to 2612 loblolly pine (Pinus taeda) plantation stands (>15 ha) in western Louisiana and eastern Texas, the estimated tree height was correlated using plantation year in inventory GIS and the coefficient of determination R2 was 0.694. Outliers from the trend line were identified and evaluated for potential stand's attribute error. Using historical satellite images, three stands were confirmed to have errors in plantation year. A solid procedure was developed through this experiment, which is applicable to large industrialized timberlands. This study demonstrates that SRTM and NED can present an effective and efficient solution for quality improvement of timber inventory GIS.

UR - http://www.scopus.com/inward/record.url?scp=33747101987&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33747101987&partnerID=8YFLogxK

U2 - 10.1016/j.foreco.2006.06.007

DO - 10.1016/j.foreco.2006.06.007

M3 - Article

AN - SCOPUS:33747101987

VL - 233

SP - 61

EP - 68

JO - Forest Ecology and Management

JF - Forest Ecology and Management

SN - 0378-1127

IS - 1

ER -