Next Article in Journal
Remote Sensing of Mangrove Ecosystems: A Review
Next Article in Special Issue
Comparison of Grid-Based and Segment-Based Estimation of Forest Attributes Using Airborne Laser Scanning and Digital Aerial Imagery
Previous Article in Journal
Automated Generation of Digital Terrain Model using Point Clouds of Digital Surface Model in Forest Area
Previous Article in Special Issue
Forest Assessment Using High Resolution SAR Data in X-Band
Article Menu

Article Versions

Export Article

Open AccessArticle
Remote Sens. 2011, 3(5), 859-877; doi:10.3390/rs3050859

Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data

Institute of Environmental Planning, Gottfried Wilhelm Leibniz Universität Hannover, Herrenhäuserstr. 2, D-30419 Hannover, Germany
*
Author to whom correspondence should be addressed.
Received: 28 January 2011 / Revised: 10 March 2011 / Accepted: 14 April 2011 / Published: 27 April 2011
(This article belongs to the Special Issue 100 Years ISPRS - Advancing Remote Sensing Science)
View Full-Text   |   Download PDF [2164 KB, uploaded 19 June 2014]   |  

Abstract

Functioning ecosystems offer multiple services for human well-being (e.g., food, freshwater, fiber). Agriculture provides several of these services but also can cause negative impacts. Thus, it is essential to derive up-to-date information about agricultural land use and its change. This paper describes the multi-temporal classification of agricultural land use based on high resolution spotlight TerraSAR-X images. A stack of l4 dual-polarized radar images taken during the vegetation season have been used for two different study areas (North of Germany and Southeast Poland). They represent extremely diverse regions with regard to their population density, agricultural management, as well as geological and geomorphological conditions. Thereby, the transferability of the classification method for different regions is tested. The Maximum Likelihood classification is based on a high amount of ground truth samples. Classification accuracies differ in both regions. Overall accuracy for all classes for the German area is 61.78% and 39.25% for the Polish region. Accuracies improved notably for both regions (about 90%) when single vegetation classes were merged into groups of classes. Such regular land use classifications, applicable for different European agricultural sites, can serve as basis for monitoring systems for agricultural land use and its related ecosystems.
Keywords: agriculture; land use; radar; multi-temporal classification agriculture; land use; radar; multi-temporal classification
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

Bargiel, D.; Herrmann, S. Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data. Remote Sens. 2011, 3, 859-877.

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