Land cover time profiles from linear mixture models applied to MODIS images

P. Oliveira; P. Gonçalves; Mário Caetano

Land cover time profiles from linear mixture models applied to MODIS images

P. Oliveira, P. Gonçalves, Mário Caetano

NOVA Information Management School (NOVA IMS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A multi-temporal extension of Linear Mixture Models (LMM) is investigated. Applied to a full year sequence of MODIS 500 meters resolution images, time-varying Linear Mixture Models provide us with the inter-annua evouton of "vegetaton", "soil" and "shadow" sub-pixel components. Reported work is a descriptive analysis of the results and stands as a preliminary study towards automatic multi-temporal LMM based characterization and classification of land cover.

Original language	English
Title of host publication	Proceedings, 31st International Symposium on Remote Sensing of Environment, ISRSE 2005
Subtitle of host publication	Global Monitoring for Sustainability and Security
Publication status	Published - 1 Dec 2005
Event	31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security - St. Petersburg, Russian Federation Duration: 20 Jun 2005 → 24 Jun 2005

Conference

Conference	31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security
Country/Territory	Russian Federation
City	St. Petersburg
Period	20/06/05 → 24/06/05

Keywords

Land cover
MODIS
Spectral mixture analysis
Temporal remote sensing
Time series

Cite this

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title = "Land cover time profiles from linear mixture models applied to MODIS images",

abstract = "A multi-temporal extension of Linear Mixture Models (LMM) is investigated. Applied to a full year sequence of MODIS 500 meters resolution images, time-varying Linear Mixture Models provide us with the inter-annua evouton of {"}vegetaton{"}, {"}soil{"} and {"}shadow{"} sub-pixel components. Reported work is a descriptive analysis of the results and stands as a preliminary study towards automatic multi-temporal LMM based characterization and classification of land cover.",

keywords = "Land cover, MODIS, Spectral mixture analysis, Temporal remote sensing, Time series",

author = "P. Oliveira and P. Gon{\c c}alves and M{\'a}rio Caetano",

year = "2005",

month = dec,

day = "1",

language = "English",

booktitle = "Proceedings, 31st International Symposium on Remote Sensing of Environment, ISRSE 2005",

note = "31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security ; Conference date: 20-06-2005 Through 24-06-2005",

}

Oliveira, P, Gonçalves, P & Caetano, M 2005, Land cover time profiles from linear mixture models applied to MODIS images. in Proceedings, 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security. 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security, St. Petersburg, Russian Federation, 20/06/05.

Land cover time profiles from linear mixture models applied to MODIS images. / Oliveira, P.; Gonçalves, P.; Caetano, Mário.
Proceedings, 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security. 2005.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Land cover time profiles from linear mixture models applied to MODIS images

AU - Oliveira, P.

AU - Gonçalves, P.

AU - Caetano, Mário

PY - 2005/12/1

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N2 - A multi-temporal extension of Linear Mixture Models (LMM) is investigated. Applied to a full year sequence of MODIS 500 meters resolution images, time-varying Linear Mixture Models provide us with the inter-annua evouton of "vegetaton", "soil" and "shadow" sub-pixel components. Reported work is a descriptive analysis of the results and stands as a preliminary study towards automatic multi-temporal LMM based characterization and classification of land cover.

AB - A multi-temporal extension of Linear Mixture Models (LMM) is investigated. Applied to a full year sequence of MODIS 500 meters resolution images, time-varying Linear Mixture Models provide us with the inter-annua evouton of "vegetaton", "soil" and "shadow" sub-pixel components. Reported work is a descriptive analysis of the results and stands as a preliminary study towards automatic multi-temporal LMM based characterization and classification of land cover.

KW - Land cover

KW - MODIS

KW - Spectral mixture analysis

KW - Temporal remote sensing

KW - Time series

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M3 - Conference contribution

AN - SCOPUS:84879723774

BT - Proceedings, 31st International Symposium on Remote Sensing of Environment, ISRSE 2005

T2 - 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security

Y2 - 20 June 2005 through 24 June 2005

ER -

Land cover time profiles from linear mixture models applied to MODIS images

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Keywords

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