Using ERS-1 and ASAR imagery for mapping forest in French Guiana

Jean-Baptiste Henry, Tuomas Häme, Yrjö Rauste, Laura Sirro, Heikki Ahola, Gianfranco De Grandi, N. Stach

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)

    Abstract

    ERS 1 and ASAR imagery were used for mapping the forest area of French Guiana for 1992/1993 and 2003/2004, respectively. Imagery was orthorectified using the SRTM DEM and least square algorithm was used to improve the residual geometric inaccuracies. Geometric accuracy of the ERS data using the standard VMP processor was compared with the accuracy using the PGS processor that has been developed for the Envisat ASAR data. The change detection ability clearly improved due to the use of PGS processor. The study was part of the GMES (Global Monitoring for the Environment and Security) Service Element Forest Monitoring
    Original languageEnglish
    Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages2666-2669
    ISBN (Print)0-7803-9510-7
    DOIs
    Publication statusPublished - 2006
    MoE publication typeA4 Article in a conference publication
    EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006 - Denver, CO, United States
    Duration: 31 Jul 20064 Aug 2006

    Conference

    ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006
    Abbreviated titleIGARSS 2006
    Country/TerritoryUnited States
    CityDenver, CO
    Period31/07/064/08/06

    Keywords

    • Forest
    • Change detection
    • French Guiana
    • ERS
    • ASAR
    • GMES

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