Next Article in Journal
Estimating Urban Heat Island Effects on the Temperature Series of Uccle (Brussels, Belgium) Using Remote Sensing Data and a Land Surface Scheme
Previous Article in Journal
The Browning of Alaska’s Boreal Forest
Article Menu

Article Versions

Export Article

Open AccessArticle
Remote Sens. 2010, 2(12), 2748-2772; doi:10.3390/rs2122748

Application of Object Based Classification and High Resolution Satellite Imagery for Savanna Ecosystem Analysis

Department of Geography & Land Use and Environmental Change Institute (LUECI), University of Florida, 3141 Turlington Hall, P. O. Box 117315, Gainesville, FL 32611, USA
*
Author to whom correspondence should be addressed.
Received: 16 October 2010 / Revised: 7 December 2010 / Accepted: 8 December 2010 / Published: 10 December 2010
View Full-Text   |   Download PDF [1188 KB, uploaded 19 June 2014]   |  

Abstract

Savanna ecosystems are an important component of dryland regions and yet are exceedingly difficult to study using satellite imagery. Savannas are composed are varying amounts of trees, shrubs and grasses and typically traditional classification schemes or vegetation indices cannot differentiate across class type. This research utilizes object based classification (OBC) for a region in Namibia, using IKONOS imagery, to help differentiate tree canopies and therefore woodland savanna, from shrub or grasslands. The methodology involved the identification and isolation of tree canopies within the imagery and the creation of tree polygon layers had an overall accuracy of 84%. In addition, the results were scaled up to a corresponding Landsat image of the same region, and the OBC results compared to corresponding pixel values of NDVI. The results were not compelling, indicating once more the problems of these traditional image analysis techniques for savanna ecosystems. Overall, the use of the OBC holds great promise for this ecosystem and could be utilized more frequently in studies of vegetation structure.
Keywords: savannas; vegetation structure; tree canopies; object based; IKONOS savannas; vegetation structure; tree canopies; object based; IKONOS
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Gibbes, C.; Adhikari, S.; Rostant, L.; Southworth, J.; Qiu, Y. Application of Object Based Classification and High Resolution Satellite Imagery for Savanna Ecosystem Analysis. Remote Sens. 2010, 2, 2748-2772.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top