CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Multi-temporal land-cover classification of agricultural areas in two European regions with high resolution spotlight TerraSAR-X data
Authors
Damian Bargiel
Sylvia Herrmann
Publication date
1 January 2011
Publisher
Basel : MDPI AG
Doi
Cite
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. © 2011 by the authors.DBU (Deutsche Bundesstiftung Umwelt
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Multidisciplinary Digital Publishing Institute
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:mdpi.com:/2072-4292/3/5/85...
Last time updated on 20/10/2022
Directory of Open Access Journals
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:doaj.org/article:774cfa480...
Last time updated on 18/12/2014
Institutionelles Repositorium der Leibniz Universität Hannover
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:www.repo.uni-hannover.de:1...
Last time updated on 13/04/2017
TUbiblio
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:tubiblio.ulb.tu-darmstadt....
Last time updated on 05/04/2020