2024-03-28T17:03:33Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/106422016-10-10T06:47:36Zcom_10261_74com_10261_6col_10261_453
2009-02-12T15:28:26Z
urn:hdl:10261/10642
Modeling Canopy Water content for Carbon estimates from MODIS data at Land EOS Validation sites
Zarco-Tejada, Pablo J.
Ustin, S. L.
Canopy Water Content
MODIS
Modeling methods
In Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, IGARSS'01, Sydney, Australia, 9th-13th July, 2001
This paper reports on progress made to
improve our understanding of the biophysical and
ecological processes governing the linked exchanges of
water, energy, carbon and trace gases between the
terrestrial biosphere and the atmosphere by improving
satellite data products for models. The project aims to
tests new biophysical data products from MODIS and
ASTER EOS sensors and incorporates them into the
SiB2 and CASA models. Traditional carbon estimates
of such models use NDVI satellite data as inputs,
although it is known that NDVI saturates at high LAI
values. Radiative transfer models PROSPECT, SAILH
and SPRINT were used to study a water-based optical
index from MODIS as a measure of canopy water
content that potentially improve estimates of LAI,
specifically for ecosystems having high LAI (>4). This
study shows the validity of the new data product and
the potential extent of model improvements for
biospheric and atmospheric processes. Validation of
the models and the data products is conducted at EOS
core land validation sites part of AmeriFlux.
2009-02-12T15:28:26Z
2009-02-12T15:28:26Z
2001
comunicaciĆ³n de congreso
http://hdl.handle.net/10261/10642
eng
openAccess