EUFAR - European Facility for Airborne Research

www.eufar.net

CNR IMAA airborne facilities

ODS3F – Observation and Detection Systems For Forest Fire MonitoringRome, 15th May 2014

Stefano Pignattiwww.imaa.cnr.it

Instrument Type Instrument nameSerial type Operator Measured

parameter + Range

Incident flow vector probeAIMMS-20-ARI ARI Airspeed; Incidence angle;

Turbulence

RadarRadio-echo-sounder AWI Reflectivity Penetrates ice up to

4000m thick

GPSTrimble-4000SSI AWI Aircraft position, velocity

and attitude

OtherLaCoste-Romberg-Gravimeter

AWI Gravity field

OtherScintrex-Magnetometer AWI Magnetic field: 20000 -

100000nT

Laser AltimeterRiegl-LD90-AWI AWI Aircraft height above

surface3 - 2500m (if reflectivity >

0.8) Laser scanner Riegl-LMS-Q280 AWI surface maps

VIS/NIR spectrometerOceanOptics CNR-IBIMET Radiance

Incident flow vector probeCNR-Mobile-Flux-Platform CNR-IBIMET Airspeed; Incidence angle;

Turbulence

Imaging SpectrometerTASI-600 S/N 5506 CNR-IMAA Radiance Spectra LWIR 8-12micron

CO2 and H20 by IR absorption

Licor7500-CNR CNR-ISAFoM CO2, H2O CO2: 0 - 3000ppm. H2O: 0 - 60ppm.

Incident flow vector probeBAT-ARA CNR-ISAFoM Airspeed; Incidence angle;

Turbulence

Dew/Frost-point hygrometer

Edgetech-Dewtrak200 CNR-ISAFoM Dew Point -40 - 60°C. Operating principle: thermo-electric

BBRLicor-Quantum-PAR CNR-ISAFoM Hemispheric broadband

radiance400 - 700nm

Laser AltimeterRiegl- LD90-CNR CNR-ISAFoM Aircraft height above

surface<500m

BBRCambell-Q7.1 CNR-ISAFoM Hemispheric broadband

radiance0.25 - 60µm

BBREverest-4000.4-ZL CNR-ISAFoM Hemispheric broadband

radianceInfraRed (-40 - 100°C)

Partenavia P68 Observer2

Technical information: - Typ. speed: 52 m/s - Ceyling height: 19200 ft - Typ. operating height: 18000 ft

- Empty weight: 1420 Kg - Max. take-off weight: 2084 Kg - Max payload: 660 Kg

TASI-600 installation

- Total electrical power: 1.925 KW - Electrical power available: 1 KW at 27.5V +/- 0.5V

- Usual range during measurements flight: 1620 Km

- Aircraft can flight in non iceing conditions @ low operat. costs - Avionics is is equipped with Garmin GNS 430W - Take-off runway lenght: 630 m - in ISA – MTOM - 0 Wind - Helicopter-like visibility through the plexiglas cockpit

Research InfrastructuresCNR IMAA’s property in terms of scientific equipment is now estimated at more than 12 million Euros. The main instrumental facilities operating at the IMAA laboratories are: CIAO-CNR-IMAA Atmospheric Observatory which is one of the 12 worldwide sites within the GRUAN network for the study of the high atmosphere; a system used for receiving, processing and storing satellite images (NOAA, MSG, EOS-AQUA, EOS-TERRA), which is capable of processing online more than 120 Tbyte of data; a Hydrogeosite Experimental test field at the the Marsico Nuovo Centre, which is the first full-scale laboratory in Italy for the investigation of hydrogeophysical processes; mobile laboratories consisting of a Lidar system, a system for interferometric and radiometric measurements, a system for non-invasive physico-chemical and geophysical measurements, a system for geochemical and mineralogical measurements and a mobile vehicle equipped with systems of satellite data reception and transmission as well as sensors for ground-based RS data acquisition.

Research TopicsDevelopment and Integration od Lidar, Radiometric and Microwave; Tecniques for the 4D Characterization of Atmosphere; Satellite Remote Sensing for Clouds and Precipitations; OT Multi-platform Methods and Techniques for Surface Process Characterization and Natural and Anthropic; Risk NRT Monitoring; Earth Observation Integrated Techniques for Environmental and Archeological Research - “ARGON”; Micro and Biominerals in Environmental and Human Health Issues; Integrated Methodologies for the Study of Soil and Subsoil; Integrated Modelling for Energy-Environmental Sustainability.

Networks and International Working TeamsNEREUS, Network of European Regions Using Space Technologies; Copernicus Regional Contact Office (RCO) Network ; IGOS-Geohazard Core Team; EGU Core Team; Working group on Satellite data-driven detection, tracking and modeling of volcanic hotspots; ISIS - Working Group.

Staff: more than 100 researchers involved in several international and national research projects.

References: - R. Casa, F. Castaldi, S. Pascucci, A. Palombo, S. Pignatti (2013). “A comparison of sensor resolution and calibration strategies for soil texture estimation from hyperspectral remote sensing”. Geoderma 01/2013.- S. Pascucci, C. Belviso, R. M. Cavalli, A. Palombo, S. Pignatti, F. Santini (2012). “Using imaging spectroscopy to map red mud dust waste: The Podgorica Aluminum Complex case study”. Remote Sensing of Environment, Volume 123, pp. 139-154.- R. Casa, F. Baret, S. Buis, R. Lopez-Lozano, S. Pascucci, A. Palombo, H. G. Jones (2012). “Estimation of maize canopy properties from remote sensing by inversion of 1-D and 4-D models”. Precis. Agric. 04/2012;11(4):319-334.- S. Pignatti, R.M. Cavalli, V.Cuomo, L.Fusilli, S. Pascucci, M.Poscolieri, F.Santini. “Evaluation of Hyperion capability for land covers mapping in a fragmented ecosystem: Pollino National Park (Italy) case study”. RSE, 113 (3) (2009) 622–634. - S. Pascucci, C. Bassani, A. Palombo, M. Poscolieri, R.M. Cavalli (2008). “Road Asphalt Pavements Analyzed by Airborne Thermal Remote Sensing: Preliminary Results of the Venice Highway”. Sensors 2008, 8, 1278-1296. - C. Bassani, R.M. Cavalli, F. Cavalcante, V. Cuomo, A. Palombo, S. Pascucci, S. Pignatti (2007). “Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data”. Remote Sensing of Environment, 109, pp. 361-378.- S. Pascucci, Fusilli L., Palombo A., Pergola N., Pignatti S., Santini F. (2013). «Karst water resources detection through airborne thermal data: MIVIS and TASI-600 im-agery”, in International Geoscience and Remote Sensing Symposium (IGARSS'13), 21-26 July 2013 , Melbourne, Australia..- F. Santini, U. Amato, M. Daraio, S. Pignatti, A. Palombo, S. Pascucci, “Calibration is-sues and pre-processing chain of the TASI-600 airborne LWIR hyperspectral scan-ner”. WHISPERS 2013, 25-28 June 2013, Gainesville, Florida, USA.- M. F. Carfora, A. Palombo, S. Pascucci, S. Pignatti and F. Santini. “ Land cover map-ping capability of multispectral thermal data: the TASI-600 case study“. WHISPERS 2013, 25-28 June 2013, Gainesville, Florida, USA.- S. Pascucci, M. Daraio, A. Palombo, S. Pignatti, F.Santini, G. Laneve, ‘TASI-600 high resolution airborne thermal data for accurate materials detection in urban scenarios’. 33rd EARSeL 2013:’Thermal Remote Sensing’ session. 5-7 June 2013- Matera(Italy). - S. Pignatti, Lapenna V., Palombo A., Pascucci S, Pergola N., Cuomo V. (2011). “An advanced tool of the CNR IMAA EO facilities: Overview of the TASI-600 hyperspectral thermal spectrometer“, in 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Lisbon, Portugal, 6 -9 June 2011...

Contacts: Director of CNR IMAA: vincenzo.lapenna@imaa.cnr.it

Hyperspectral RS Lab and TASI facilities: stefano.pignatti@imaa.cnr.it

Applications

Karst water resources detection through TASI-600 imagery

R:8383 nm; G:9697 nm; B:11230 nm

TASI-600 urban materials map from emissivities(K coeff. > 0.90)

TASI-600 sub-superficial pipeline monitoring

Strumentazione RS del CNR IMAA

Strumento Tipo Range(μm) Risoluzione

Ocean Optics 2000 Spettrometro 0.3÷0.8 3 nm

Flir SC7000 Camera 3.0÷5.0 integrata

Flir SC900VL Camera 8.0÷12.0 integrata

FT-IR D&P Model 102 Interferometro 2.0÷16.0 4.0 nm @ 8.0 μm

Sensori a terra IMAA

Carta delle principali tipologie vegetazionali del Parco Nazionale del Pollino

AEREO (MIVIS) SATELLITE (HYPERION)

Classificazioni MIVIS e Hyperion ottenute applicando il classificatore supervisionato MD considerando 13 classi CORINE (fino al 4° livello).

Fino al 4° livello CORINE MIVIS e Hyperion hanno prestazioni simili

150 metri

Test area = 484 pixels

Test area = 25 pixels

Test area = 22500 m2

Classificazione MIVIS

Hyperion Classification

RocciaArbusti

Praterie arideFaggi

MIVIS

Hyperion

Ortofoto aerea

Dimensione del pixel terra: 1.5 m

Classificazione Hyperion

Dimensione del pixel a terra: 7 m

Dimensione del pixel a terra: 30 m

Il confronto dei risultati con le percentuali abbondanze dei singoli endmembers a livello di subpixel è ottenute dal MIVIS. Errore definito tramite “Errore Residuale” (RE)

Endmembers% unmixing HYPERION

% MDMIVIS

arbusti 6.54 3.31

faggio 22.20 23.76

Praterie aride 71.26 72.93

RE% = 5.03

1001

1

%

1

2

1

2

L

l

L

l

RF

RFHF

lL

llLRE

Analisi di un sistema naturale ad elevata frammentazione attraverso tecniche di unmixing.

Studi per la missione PRISMA: analisi sub-pixel Parco Nazionale del Pollino

Campagna aerea VNIR per il progetto IOSMOS (IOnian Sea water quality MOnitoring by Satellite data)

Applicati diversi Indici di Vegetazione per il retrieving dello stato di salute della vegetazione(rosso-ottimo; giallo/verde - buono; verde/blu - stressata)