GIS and Remote Sensing Unit at FEM-CRI

Ecological remote sensing

Emergence and spread of infectious diseases in a changing environment require the development of new methodologies and tools for risk assessment, early warning and policy making. GIS modelling is routinely used to perform risk assessment for the mitigation of these diseases. We use remote sensing technologies to derive ecological indicators from high temporal resolution satellite data time series. Especially the Moderate Resolution Imaging Spectroradiometers (MODIS sensor) which are flown on the Terra and Aqua satellites, deliver an almost complete Earth coverage four times a day at different resolutions (from 250m to 1km pixel resolution). These data are integrated with common GIS data for spatial data analysis. Special focus is on land surface temperatures (LST, daily), snow coverage (weekly), leaf area index (LAI, weekly), and vegetation indices (NDVI, EVI, bi-weekly), all derived from MODIS satellite data. The Enhanced Vegetation Index (EVI) permits to detect seasonal vegetation differences, spring/autumn detection and the length of growing season. Furthermore, the Normalized Difference Water Index (NDWI) can be calculated weekly.

Sensors/data of ecological relevance and low access costs

Sensor	Period	Spatial resolution	Temporal resolution	Format
AVHRR: Land Surface Temperature (LST) Vegetation index (NDVI)	1978-today	~1km	Daily	L1B
MODIS: Land Surface Temperature (LST) Vegetation indices (NDVI, EVI) Snow extent LAI/FPAR ...	2000-today	1km 500m 250m	Daily	HDF
SPOT Vegetation VGT (NDVI)	1998-today	1km	10 days	HDF
LANDSAT-TM1-7 (VIS, NIR, TIR)	1972-today	15/30/60m	16 days	GeoTIFF
ASTER (VIS, NIR, TIR)	2000-today	15/30/90m	16 days	HDF

 

MODIS

The launches of the NASA satellite systems Terra (December 1999) and Aqua (May 2002) significantly improve the situation of data availability for scientific purposes and predictive epidemiological studies. The Moderate Resolution Imaging Spectroradiometer (MODIS) is a key instrument on both Terra and Aqua satellites. As they deliver daily two global coverages at 250m (Red, NIR), 500m (MIR) and 1000m resolution (TIR), they are most interesting to support epidemiological studies. Usually one week after acquisition the data are available to the public.

For our research, MODIS data are crucial as they help us to derive ecological indicators from MODIS high resolution time series. We are specialised in reconstruction of cloud contaminated LST data which are completely restored using a GIS based methodology. The complex terrain of the Southern Alps is particularly challenging.

Further details

See MODIS LST

See MODIS NDVI/EVI

See MODIS Sensor Specifications

• °Neteler, M., °Roiz, D., Rocchini, D., Castellani, C. and Rizzoli, A. (2011). Terra and Aqua satellites track tiger mosquito invasion: modeling the potential distribution of Aedes albopictus in north-eastern Italy. International Journal of Health Geographics, 10:49 [ Abstract | DOI | PDF ] (IF: 2.34)
  °The authors contributed equally
• Tonolli, S., Dalponte, M., Gianelle, D., Neteler, M.,  Rodeghiero, M., and Vescovo, L. (2011). Fusion of airborne  LIDAR and satellite multispectral data for the estimation of timber volume in an Alpine region. Remote Sensing of Environment, 115: 2486-2498.  [DOI | PDF] (IF: 3.951)
• °Roiz D., °Neteler M., Castellani C., Arnoldi D., Rizzoli A. (2011). Climatic Factors Driving Invasion of the Tiger Mosquito (Aedes albopictus) into New Areas of Trentino, Northern Italy. PLoS ONE. 6(4): e14800. °The authors contributed equally [DOI | PDF] (IF: 4.411)
    - press reactions and
    - featured in European Commission, Directorate-General for the Environment (DG ENV), Science for Environment Policy, Issue 252, "Predicting the spread of the tiger mosquito in Europe"
• He, K.S., Rocchini, D., Neteler, M., Nagendra, H. (2011). Benefits of hyperspectral remote sensing for tracking plant invasions. Diversity and Distributions, 17: 381-392 [DOI | PDF] (IF: 4.248)
• Rocchini, D., Metz, M., Frigeri, A., Delucchi, L., Marcantonio, M., Neteler, M. (2011). Robust rectification of aerial photographs in an Open Source environment. Computers & Geosciences, in press [DOI] (IF: 1.416)
• Tonolli, S., Dalponte, M., Gianelle, D., Neteler, M.,  Rodeghiero, M., and Vescovo, L. (2011). Fusion of airborne  LIDAR and satellite multispectral data for the estimation of timber volume in an Alpine region. Remote Sensing of Environment, in press [DOI | PDF] (IF: 3.951)
• Rocchini, D., McGlinn, D., Ricotta, C., Neteler, M., Wohlgemuth, T. (2011). Landscape complexity and spatial scale influence the relationship between remotely sensed spectral diversity and survey based plant species richness. Journal of Vegetation Science. 22: 688-698 [DOI| PDF] (IF:  2.457)
• Neteler, M., 2010: Estimating daily Land Surface Temperatures in mountainous environments by reconstructed MODIS LST data. Remote Sensing 2(1), 333-351. (DOI) [ Abstract | PDF ]
• Carpi G., Cagnacci F., Neteler M., Rizzoli A, 2008: Tick infestation on roe deer in relation to geographic and remotely-sensed climatic variables in a tick-borne encephalitis endemic area. Epidemiology and Infection,136, pp. 1416-1424. (DOI) (ISI 2007: 1.900) [ PubMed ]
• A. Rizzoli, M. Neteler, R. Rosà, W. Versini, A. Cristofolini, M. Bregoli, A. Buckley, and E.A. Gould, 2007: Early detection of TBEv spatial distribution and activity in the Province of Trento assessed using serological and remotely-sensed climatic data. Geospatial Health, 1(2), pp. 169-176. [ PubMed | PDF ]
• M. Neteler, 2005: Time series processing of MODIS satellite data for landscape epidemiological applications. International Journal of Geoinformatics, 1(1), pp. 133-138 (PDF)

FEM-CRI data holdings

MODIS LST data were postprocessed from Terra satellite from 5 mar 2000 - today and from Aqua satellites from 8 jul 2002 - today: more than 13500 maps are in our archive. Aggregation to decades (16 days periods) is performed for epidemiological studies.

LANDSAT

The recent publication of the USGS LANDSAT archive is a great help for long term studies. With a repeat time of 16 days the entire globe is captured.

Further reading

• ASPRS guide to land imaging satellites (2008)
• LPDAAC MODIS Aqua and Terra products table
• FTP Servers: MODIS Land + Atmosphere products
• MODIS snow & ice products
• MODIS on Aqua and Terra operational status
• Visible Infrared Imaging Radiometer Suite (VIIRS) - MODIS successor onboard of NPP mission

---