Skip to page content
USDA Forest Service
  
Treesearch

Research & Development Treesearch

 
Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Northern
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help
 

Science.gov - We Participate


USA.gov  Government Made Easy


Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

View PDF (211 KB)

Title:

Using forest inventory plot data and satellite imagery from MODIS and Landsat-TM to model spatial distribution patterns of honeysuckle and privet

Author: Salajanu, Dumitru; Jacobs, Dennis M.;

Date: 2009

Source: In: Proceedings of ASPRS 2009 annual conference—reflection of the past, vision for the future. 2009 March 9-13; Baltimore, MD. Bethesda, MD: American Society for Photogrammetry and Remote Sensing.

Publication Series: Proceedings (P)

Description:

Forest inventory and analysis data monitor the presence and extent of certain non-native invasive species. On
forestland, non-native species are considered part of the understory vegetation and can be found near canopy
openings as well as and the forest edge. The objective of this study is to incorporate the presence of select nonnative
species into forest classification modeling procedures and determine the accuracy for producing non-native
species spatial distribution classifications. A secondary objective is to compare classification accuracies of the
different spatial resolution data (Landsat-TM and MODIS), which suggests that an increase in resolution provides an
increase in overall accuracy. The classification results provide forest distribution combined with non-native species
occurrence for honeysuckle (Lonicera spp.) and privet (Ligustrum spp.). Subsets of the plot data are used in a
decision tree modeling process (See5) applied to the satellite data (Landsat-TM, MODIS), and ancillary data to
classify the land cover and model privet/honeysuckle spatial distribution. Classification results show that overall
classification accuracy for the percent of pixels correctly classified (%PCC) increased from 67.5% to 72.5% (privet)
and from 67.5% to 70.0% (honeysuckle) when privet and honeysuckle are coded as present in the plot.
Comparisons between overall classification accuracy show a 5.0% increase for privet, and 2.5% for honeysuckle. A
comparison between MODIS and Landsat-TM classifications shows a 3.7% increase in accuracy when both privet
and honeysuckle are coded in several categories based on their percent of participation on the plot. Classifications
from Landsat-TM and MODIS models show a higher confusion in the privet/honeysuckle categories (percent privet
or honeysuckle on plot), however the Landsat-TM model performed slightly better.

Keywords: FIA, honeysuckle, Landsat-TM, MODIS, privet, satellite imagery, spatial distribution

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
  • You may send email to pubrequest@fs.fed.us to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)

XML: View XML

Citation:


Salajanu, Dumitru; Jacobs, Dennis M. 2009. Using forest inventory plot data and satellite imagery from MODIS and Landsat-TM to model spatial distribution patterns of honeysuckle and privet. In: Proceedings of ASPRS 2009 annual conference—reflection of the past, vision for the future. 2009 March 9-13; Baltimore, MD. Bethesda, MD: American Society for Photogrammetry and Remote Sensing.

 


 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.