DocumentCode
2196717
Title
Satellite-based forest health monitoring using coarse resolution data: Focus on the 2003 and 2011 droughts in France
Author
Samalens, Jean-Charles ; Guyon, Dominique ; Bories, Nicolas ; Breda, Nathalie ; Piou, Dominique ; Wigneron, Jean-Pierre
Author_Institution
EPHYSE, INRA, Villenave-d´´Ornon, France
fYear
2012
fDate
22-27 July 2012
Firstpage
3367
Lastpage
3370
Abstract
Numerous studies showed the impact of droughts events on the seasonal dynamic of satellite-based vegetation index but validation and relation to ground observations is still lacking. Focusing on the impacts of 2003 and 2011 droughts events, we defined and validated forest health indicators using extensive in-situ damage inventories carried out on all French forests. Analysis of vegetation indices dynamics (EVI, LAI) at the national scale was performed using MODIS and SPOT VEGETATION products (MOD13A2 V5 and CYCLOPES V3.1). Satellite-based indicators of (i) crown condition - which is itself a commonly used forest health indicator - and (ii) leaf phenology anomalies were calibrated and validated. In our study, average of CYCLOPES LAI during the growing season is a good proxi of crown condition (r2=0.79, p<;0.001). Inter-annual MODIS EVI anomalies can effectively capture drought effects on the vegetation dynamics and its recovery both in time and space.
Keywords
environmental monitoring (geophysics); forestry; rain; vegetation; vegetation mapping; AD 2003; AD 2011; CYCLOPES LAI; CYCLOPES V3.1; EVI; France; French forests; MOD13A2 V5; MODIS; SPOT VEGETATION products; coarse resolution data; crown condition; droughts; forest health indicators; ground observations; in-situ damage inventories; leaf phenology anomalies; satellite-based forest health monitoring; satellite-based indicators; satellite-based vegetation index; seasonal dynamic; vegetation indices dynamics; Europe; Indexes; MODIS; Monitoring; Remote sensing; Vegetation; Vegetation mapping; Drought; Forest health; Ground validation; Regional scale;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350699
Filename
6350699
Link To Document