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GeoChronos
A platform for earthobservation scientists
Arturo Sánchez-Azofeifa, Ph.D.Centre for Earth Observation Sciences
University of AlbertaEdmonton, Alberta
Challenges of the 21st Centuryto Environmental Research
Our environmental work has global connotations and linkages. Sitebase observations can no longer be isolated, but must be linked toplanetary responses.
We are now confronting high volumes of new satellite and field dataat multiple temporal and spatial scales.
Development of new wireless sensing technologies allow forunprecedented monitoring capabilities, without a sufficientcyberinfrastructure in place.
Need for fast, integrated access to information by earth observationscientists interested on quantifying large and local landscape changes.
GeoChronos: Building onPartnerships
Canada: University of Victoria University of Alberta Cybera
USA: SpecNet (Spectral Network)
Latin America Inter American Institute for
Global Change Research (IAI) Universidad Federal de Minas
Gerais, Brazil Universidad de Montes
Claros, Minas Gerais, Brazil Instituto Nacional de
Pesquisas Espaciales (INPE),Brazil
Universidad NacionalAutonoma de Mexico(UNAM)
Smithsonian TropicalResearch Institute (STRI)
MODIS Land Products
• Ecosystem Variables– Vegetation Indices– Leaf Area Index
(LAI) and FractionalPhotosyntheticallyActive Radiation(FPAR)
– VegetationProduction
– Net PrimaryProductivity (NPP)
Challenges: Validating MODIS Products with a multi-scale datasystem that links to ground/real-time observations.
Near-Real Time Remote Sensing: MODIS
GeoChronos-IAI-Tropi-Dry: Realtimephenology monitoring
MODIS Realtime: March 19, 2008
MODISTerra A.M.
MODISAqua P.M.
TROPI-DRY: Real timeMonitoring
Real timePAR
Strong need to linkfield observationswith remote sensingin real time.
Non Parametric Seasonal Kendall Test for Trend
Length of dry season: Statistically significant positive trend.
Length of Growing Season: Statistically significant negative trend.
GeoChronos and CyberaSummary
Our join work has helped to reduce processing time fromweeks to days.
Faster interaction with partners and real-time monitoringprocesses without the need of expensive field seasons.
More time on data analysis than on data processing.
