Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/87350
Type: Artigo de evento
Title: Land Use Temporal Analysis Through Clustering Techniques On Satellite Image Time Series
Author: Goncalves R.R.V.
Zullo J.
Amaral B.F.
Coltri P.P.
Sousa E.P.M.
Romani L.A.S.
Abstract: Satellite images time series have been used to study land surface, such as identification of forest, water, urban areas, as well as for meteorological applications. However, for knowledge discovery in large remote sensing databases can be use clustering techniques in multivariate time series. The clustering technique on three-dimensional time series of NDVI, albedo and surface temperature from AVHRR/NOAA satellite images was used, in this study, to map the variability of land use. This approach was suitable to accomplish the temporal analysis of land use. Additionally, this technique can be used to identify and analyze dynamics of land use and cover being useful to support researches in agriculture, even considering low spatial resolution satellite images. The possibility of extracting time series from satellite images, analyzing them through data mining techniques, such as clustering, and visualizing results in geospatial way is an important advance and support to agricultural monitoring tasks.
Editor: Institute of Electrical and Electronics Engineers Inc.
Rights: fechado
Identifier DOI: 10.1109/IGARSS.2014.6946898
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84911413629&partnerID=40&md5=c53dffe3a7b856d8bbaa9af3d1b4de7f
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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