WP9:
Data from ground and space
Markus Neteler
http://gis.cri.fmach.it
Monthly Tmean: 1950-2010 (derived from EU Ensemble Gridded data ECAD)
Objective 1: Impact of temperature and precipitation
Spatialized meteo data times series
http://eca.knmi.nl/
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 5 10 15 20 0 .1 0 .2 0 .3 0 .4 0 .5 0 .6 0 .7 10day periods (2003) 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 2 3 Cavedine (570m a.s.l) Val di Non (610m a.s.l) Levico (760m a.s.l) April EVI Vegetation greening 10km 3 1 2
Enhanced Vegetation Index (EVI)
“Spring detection” example: Trentino 2003
Effect of valley orientation and exposition
+ Provincial meteo stations
Temperature trends from meteo station LST Day 28 Aug 2001 Deg. Celsius
LAND SURFACE TEMPERATURE (LST)
Data enhancements in complex Alpine terrain
The MODIS sensor on board of Terra and Aqua satellites
The MODIS Sensor: 11 years of data
Sensor with 36 channels in the range of optical light, near and thermal infrared: Vegetation
state, snow, temperature, fire detection ...
Delivers data at 250 m, 500 m and 1000 m pixel resolution
4 overpasses per day
Typical MODIS overpass and data coverage (map tiles) FEM-PGIS Cluster (300 nodes, 32 TB)
The new European MODIS LST time series
European
MODIS LST mosaic
reconstructed with multivariate approach (GIS input data:
4.5 billion pixel per LST map used in calculation)
250m resolution
4 maps per day
data since 2000
Threshold map >1350 GDD from MODIS LST
Threshold of 1350 GDD for A. albopictus after Kobayashi 2002.
J Med Entomol, 39:4-11.
Neteler et al., 2011: Int J Health Geogr, 10:49,
Acknowledgements
FEM-CRI
Luca Delucchi
Markus Metz
Annapaola Rizzoli
NASA + USGS
... for providing the
MODIS LST raw data
Markus Neteler
Fondazione E. Mach (FEM)
Centro Ricerca e Innovazione
GIS and Remote Sensing Unit
38010 S. Michele all'Adige (Trento), Italy
http://gis.cri.fmach.it http://www.osgeo.org
