DocumentCode :
484129
Title :
Estimating Biophysical Variables at 250 M with Reconstructed EOS/MODIS Time Series to Monitor Fragmented Landscapes
Author :
Lecerf, Rémi ; Hubert-Moy, Laurence ; Corpetti, Thomas ; Baret, Frédéric ; Latif, B.A. ; Nicolas, Hervé
Author_Institution :
COSTEL, Univ. Rennes 2, Rennes
Volume :
2
fYear :
2008
fDate :
7-11 July 2008
Abstract :
The objective of this study is to identify changes in the vegetation cover in estimating crop fraction cover in the Brittany region over the 2000-2006 period. Biophysical products derived from current coarse and medium resolution sensors allow the detection of changes over landscapes made of large patches. In fragmented landscapes, the 1 km spatial resolution is not suited to identify changes in vegetation cover due to mixing effects. Higher spatial resolution is thus required to detect vegetation changes. We present an original method to estimate biophysical variables and particularly fCOVER at 250 m spatial resolution from EOS/MODIS-AM1 (Terra) sensor in using the combined PROSPECT-SAIL model The results obtained from this study highlight that MODIS fCOVER data at 250 m spatial resolution estimated with the PROSPECT+ SAIL model is related to field observations of green vegetation cover fraction.
Keywords :
remote sensing; vegetation; AD 2000 to 2006; Brittany region; EOS/MODIS time series; PROSPECT-SAIL model; Terra satellite; biophysical variables estimation; crop fraction cover; fCOVER; fragmented landscapes monitoring; vegetation cover; Atmospheric modeling; Biosensors; Crops; Earth Observing System; MODIS; Reflectivity; Remote monitoring; Soil; Spatial resolution; Vegetation mapping; Remote sensing; Vegetation mapping; agriculture; landscape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779154
Filename :
4779154
Link To Document :
بازگشت