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

doi:10.1109/IGARSS.2006.688

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

BA16 Data-driven solutions

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	2666-2669
ISBN (Print)	0-7803-9510-7
DOIs	https://doi.org/10.1109/IGARSS.2006.688
Publication status	Published - 2006
MoE publication type	A4 Article in a conference publication
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006 - Denver, CO, United States Duration: 31 Jul 2006 → 4 Aug 2006

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006
Abbreviated title	IGARSS 2006
Country	United States
City	Denver, CO
Period	31/07/06 → 4/08/06

Keywords

Forest
Change detection
French Guiana
ERS
ASAR
GMES

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title = "Using ERS-1 and ASAR imagery for mapping forest in French Guiana",

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",

keywords = "Forest, Change detection, French Guiana, ERS, ASAR, GMES",

author = "Jean-Baptiste Henry and Tuomas H{\"a}me and Yrj{\"o} Rauste and Laura Sirro and Heikki Ahola and {De Grandi}, Gianfranco and N. Stach",

year = "2006",

doi = "10.1109/IGARSS.2006.688",

language = "English",

isbn = "0-7803-9510-7",

pages = "2666--2669",

booktitle = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006, IGARSS 2006 ; Conference date: 31-07-2006 Through 04-08-2006",

}

Henry, J-B, Häme, T , Rauste, Y , Sirro, L, Ahola, H, De Grandi, G & Stach, N 2006, Using ERS-1 and ASAR imagery for mapping forest in French Guiana. in 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006. IEEE Institute of Electrical and Electronic Engineers, pp. 2666-2669, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006, Denver, CO, United States, 31/07/06. https://doi.org/10.1109/IGARSS.2006.688

Using ERS-1 and ASAR imagery for mapping forest in French Guiana. / Henry, Jean-Baptiste; Häme, Tuomas ; Rauste, Yrjö ; Sirro, Laura; Ahola, Heikki; De Grandi, Gianfranco; Stach, N.

2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006. IEEE Institute of Electrical and Electronic Engineers, 2006. p. 2666-2669.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Henry, Jean-Baptiste

AU - Häme, Tuomas

AU - Rauste, Yrjö

AU - Sirro, Laura

AU - Ahola, Heikki

AU - De Grandi, Gianfranco

AU - Stach, N.

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N2 - 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

AB - 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

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KW - Change detection

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KW - ASAR

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BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006

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