Detection of forest changes over French Guiana using ERS-1 and ASAR iamgery

Yrjö Rauste, Tuomas Häme, Heikki Ahola, N. Stach, Jean-Baptiste Henry

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

ERS-1 and ASAR imagery were used for mapping and monitoring the forest area of French Guiana for 1992/1993, 2003/2004, and 2006/2007. Imagery was ortho-rectified using the SRTM DEM. A least square algorithm was used to improve the residual geometric inaccuracies. For the ERS data, significantly better geometric performance could be achieved using the PGS processor (the so called Envisat processor) data than with the standard VMP processor. The image analysis used three SAR based features, which were computed of two to five acquisitions from the same location. The most effective feature in change detection is annual average amplitude. The planned future operative system uses annual SAR data acquisitions and sample point inventory using high-resolution optical data twice in decade. The study was part of the GMES (Global Monitoring for the Environment and Security) Service Element Forest Monitoring.
Original languageEnglish
Title of host publicationProceedings of Envisat Symposium 2007 (ESA SP-636). Montreux, Switzerland, 23 – 27 April 2007
Place of PublicationNoordwijk, The Netherlands
PublisherEuropean Space Agency ESA
Number of pages6
ISBN (Print)92-9291-200-1
Publication statusPublished - 2007
MoE publication typeNot Eligible

Fingerprint

synthetic aperture radar
imagery
monitoring
Shuttle Radar Topography Mission
image analysis
data acquisition
digital elevation model
ERS
detection
Envisat
services

Keywords

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

Cite this

Rauste, Y., Häme, T., Ahola, H., Stach, N., & Henry, J-B. (2007). Detection of forest changes over French Guiana using ERS-1 and ASAR iamgery. In Proceedings of Envisat Symposium 2007 (ESA SP-636). Montreux, Switzerland, 23 – 27 April 2007 Noordwijk, The Netherlands: European Space Agency ESA.
Rauste, Yrjö ; Häme, Tuomas ; Ahola, Heikki ; Stach, N. ; Henry, Jean-Baptiste. / Detection of forest changes over French Guiana using ERS-1 and ASAR iamgery. Proceedings of Envisat Symposium 2007 (ESA SP-636). Montreux, Switzerland, 23 – 27 April 2007. Noordwijk, The Netherlands : European Space Agency ESA, 2007.
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Rauste, Y, Häme, T, Ahola, H, Stach, N & Henry, J-B 2007, Detection of forest changes over French Guiana using ERS-1 and ASAR iamgery. in Proceedings of Envisat Symposium 2007 (ESA SP-636). Montreux, Switzerland, 23 – 27 April 2007. European Space Agency ESA, Noordwijk, The Netherlands.

Detection of forest changes over French Guiana using ERS-1 and ASAR iamgery. / Rauste, Yrjö; Häme, Tuomas; Ahola, Heikki; Stach, N.; Henry, Jean-Baptiste.

Proceedings of Envisat Symposium 2007 (ESA SP-636). Montreux, Switzerland, 23 – 27 April 2007. Noordwijk, The Netherlands : European Space Agency ESA, 2007.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

TY - GEN

T1 - Detection of forest changes over French Guiana using ERS-1 and ASAR iamgery

AU - Rauste, Yrjö

AU - Häme, Tuomas

AU - Ahola, Heikki

AU - Stach, N.

AU - Henry, Jean-Baptiste

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N2 - ERS-1 and ASAR imagery were used for mapping and monitoring the forest area of French Guiana for 1992/1993, 2003/2004, and 2006/2007. Imagery was ortho-rectified using the SRTM DEM. A least square algorithm was used to improve the residual geometric inaccuracies. For the ERS data, significantly better geometric performance could be achieved using the PGS processor (the so called Envisat processor) data than with the standard VMP processor. The image analysis used three SAR based features, which were computed of two to five acquisitions from the same location. The most effective feature in change detection is annual average amplitude. The planned future operative system uses annual SAR data acquisitions and sample point inventory using high-resolution optical data twice in decade. The study was part of the GMES (Global Monitoring for the Environment and Security) Service Element Forest Monitoring.

AB - ERS-1 and ASAR imagery were used for mapping and monitoring the forest area of French Guiana for 1992/1993, 2003/2004, and 2006/2007. Imagery was ortho-rectified using the SRTM DEM. A least square algorithm was used to improve the residual geometric inaccuracies. For the ERS data, significantly better geometric performance could be achieved using the PGS processor (the so called Envisat processor) data than with the standard VMP processor. The image analysis used three SAR based features, which were computed of two to five acquisitions from the same location. The most effective feature in change detection is annual average amplitude. The planned future operative system uses annual SAR data acquisitions and sample point inventory using high-resolution optical data twice in decade. The study was part of the GMES (Global Monitoring for the Environment and Security) Service Element Forest Monitoring.

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KW - French Guiana

KW - ERS

KW - ASAR

KW - GMES

M3 - Conference article in proceedings

SN - 92-9291-200-1

BT - Proceedings of Envisat Symposium 2007 (ESA SP-636). Montreux, Switzerland, 23 – 27 April 2007

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Rauste Y, Häme T, Ahola H, Stach N, Henry J-B. Detection of forest changes over French Guiana using ERS-1 and ASAR iamgery. In Proceedings of Envisat Symposium 2007 (ESA SP-636). Montreux, Switzerland, 23 – 27 April 2007. Noordwijk, The Netherlands: European Space Agency ESA. 2007