Abstract
| 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 | |
| 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 |
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Keywords
- Forest
- Change detection
- French Guiana
- ERS
- ASAR
- GMES
Cite this
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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
TY - GEN
T1 - Using ERS-1 and ASAR imagery for mapping forest in French Guiana
AU - Henry, Jean-Baptiste
AU - Häme, Tuomas
AU - Rauste, Yrjö
AU - Sirro, Laura
AU - Ahola, Heikki
AU - De Grandi, Gianfranco
AU - Stach, N.
PY - 2006
Y1 - 2006
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
KW - Forest
KW - Change detection
KW - French Guiana
KW - ERS
KW - ASAR
KW - GMES
U2 - 10.1109/IGARSS.2006.688
DO - 10.1109/IGARSS.2006.688
M3 - Conference article in proceedings
SN - 0-7803-9510-7
SP - 2666
EP - 2669
BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006
PB - IEEE Institute of Electrical and Electronic Engineers
ER -