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 |
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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 |
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Abbreviated title | IGARSS 2006 |
Country/Territory | United States |
City | Denver, CO |
Period | 31/07/06 → 4/08/06 |
Keywords
- Forest
- Change detection
- French Guiana
- ERS
- ASAR
- GMES