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Land-Cover Change Detection Using Local Feature Descriptors Extracted From Spectral Indices

Espinoza-Molina, Daniela and Bahmanyar, Reza and Diaz-Delgado, Ricardo and Bustamante, Javier and Datcu, Mihai (2017) Land-Cover Change Detection Using Local Feature Descriptors Extracted From Spectral Indices. In: Proceedings IGARSS 2017, pp. 1938-1941. IEEE Xplore. IGARSS 2017, 23.-28. Juli 2017, Fort Worth, TX, USA. DOI: 10.1109/IGARSS.2017.8127358 ISSN 2153-7003

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Official URL: http://ieeexplore.ieee.org/document/8127358/

Abstract

An effective monitoring and analysis of ecosystems requires developing new tools and knowledge. In this paper, we propose an approach for detecting land-cover changes using satellite Image Time Series. This approach represents each image by spectral indices and then extracts local features of these representations. Next, a clustering technique (e.g., k-means) is applied to the extracted features, where the resulting clusters are assumed to refer to land-cover classes. The land-cover change is then obtained by counting the number of times an assigned class to each point changes along the time series. For our experiments, we use a collection of Landsat-5 images captured every second month from October 2009 to August 2010 over the protected area of the Doñana National Park in southwestern Spain, which is the largest sanctuary for migratory birds in western Europe. Results demonstrate that the proposed approach can detect the occurring changes in the main land-cover categories along the assessed time series.

Item URL in elib:https://elib.dlr.de/118566/
Document Type:Conference or Workshop Item (Speech)
Title:Land-Cover Change Detection Using Local Feature Descriptors Extracted From Spectral Indices
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Bahmanyar, Rezareza.bahmanyar (at) dlr.deUNSPECIFIED
Diaz-Delgado, RicardoLAST, Laboratory of GIS and Remote SensingUNSPECIFIED
Bustamante, Javierlast, laboratory of gis and remote sensingUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:July 2017
Journal or Publication Title:Proceedings IGARSS 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2017.8127358
Page Range:pp. 1938-1941
Publisher:IEEE Xplore
ISSN:2153-7003
Status:Published
Keywords:Feature extraction, Monitoring, Time series analysis, Spectral Indices, Vegetation Mapping
Event Title:IGARSS 2017
Event Location:Fort Worth, TX, USA
Event Type:international Conference
Event Dates:23.-28. Juli 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Zielske, Mandy
Deposited On:01 Feb 2018 18:37
Last Modified:01 Feb 2018 18:37

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