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Compact High Resolution Imaging Spectrometer


Written by Leandro Gonzalez

Other Names:

CHRIS

Agency/Company Operating the Sensor

Belgian Verhaert Consortium, supported by the European Space Agency (ESA)

Description

The Compact High Resolution Imaging Spectrometer (CHRIS) is a sensor located on board of the Project for On Board Autonomy (PROBA) satellite. This satellite was launched on October 22nd 2001 by ESA. The number of bands in the sensor can be modified. CHRIS can acquire data at 19 bands and a spatial resolution of 18 meters to a 63-band mode with a spatial resolution of 36 meters. In all cases, data are collected in the visible and near infrared areas of the electromagnetic spectrum, more specifically between 410nm and 1050nm. In early February 2012 CHRIS became inactive due to thermal issues. The sensor was reactivated and began to collect data again in early April 2012.



Similar Sensors

Fourier Transform Hyperspectral Imager (FTHSI), ARIES-1, Hyperion

Sample Image

Toxic sludge in Devecser, Hungary. Copyright ESA, CHRIS Imager, processed by DMCii. Source: Surrey Satellite Technology LTD.

Image of the city of Venice, acquired by the CHRIS (Compact High Resolution Imaging Spectrometer) instrument flown onboard the Proba satellite. Acquired 3 July 2004. Source: ESA.

Sensor Specifications

CHRIS is a unique sensor due to the fact that its spectral resolution can be modified from 19 bands up to 63 bands or channels. As the number of bands increases, the spatial resolution of the imagery decreases (i.e. the greater the number of bands, the bigger the pixel size). The finest spatial resolution produced by CHRIS is 18 meters, while the coarsest spatial resolution reaches 36 meters. Data are only collected in the region of the electromagnetic spectrum comprised between 410nm and 1050 nm. Another important characteristic of this sensor is that CHRIS acquires a set of up to five images of each target during every acquisition sequence.

Spectral Bands/Wavelengths

Variable

Image footprint or swath width

14 km (somewhat variable as the altitude varies around the orbit)

Return Interval

PROBA (the satellite containing CHRIS) is in a Sun synchronous orbit, RAAN 10:30. It revisits the same place on Earth approximately every 7 days.

Cost, Acquisition, Licensing

All information regarding CHRIS products is available on the ESA data access website. ESA. The EOLI catalog of ESA offers free data after a user registration form is completed EOLI Catalog. Furthermore, on demand ESA products are made available for free: users shall provide a project proposal for allowing ESA to define a product/programming quota for the project. For information regarding terms and conditions for the utilization of ESA data please visit ESA Registration, terms, and conditions.

Image format

CHRIS data can be downloaded on .HDF format.

Examples of Rangeland Uses

Duca R and Del Frate F (2008) explained the advantages of using CHRIS-PROBA for the creation of land cover maps.

Jin HR et al. (2012) performed land cover classification using bitemporal hyperspectral Compact High Resolution Imaging Spectrometer/Project for On Board Autonomy (CHRIS/PROBA) images.

Simic A and Cheng JM (2008) attempted to determine if hyperspectral measurements at multiple angles have much redundancy when extracting crop and soil information.

Verrelst J et al. (2012) looked at estimation of leaf chlorophyll content (Chl), leaf area index, and fractional vegetation cover from space.

Vuolo F et al. (2008) used CHRIS/PROBA data, in both directional and spectral domains, to estimate the Leaf Area Index (LAI)

Software/Hardware Requirements

Imagery analysis software packages such as ERDAS Imagine and ENVI can open .HDF files. Recent versions of ArcGIS (e.g., version 9.3) can read the HDF-EOS format. Alternatively, users can utilize ERDAS Imagine to export .HDF files into .IMG or GeoTIFF formats. Furthermore, tools for carrying out data transformations into other formats and projections can be found at: Data Format Transformations.

Additional Information

References

Duca R and Del Frate F. 2008. Hyperspectral and Multiangle CHRIS-PROBA Images for the Generation of Land Cover Maps. In IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 46(10): 2857-2866

Jin HR, Li PJ, Cheng T, and Song BQ. 2012. Land cover classification using CHRIS/PROBA images and multi-temporal texture. In International Journal of Remote Sensing. 33(3):101-119

Simic A and Chen JM. 2008. Refining a hyperspectral and multiangle measurement concept for vegetation structure assessment. In CANADIAN JOURNAL OF REMOTE SENSING. 34(3):174-191.

Verrelst J, Alonso L, Camps-Valls G, Delegido J, and Moreno J. 2012. Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques. In IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 50(5): 1832-1843

Vuolo F, Dini L, and D’urso G. 2008. Retrieval of Leaf Area Index from CHRIS/PROBA data: an analysis of the directional and spectral information content. In INTERNATIONAL JOURNAL OF REMOTE SENSING. 29 (17-18): 5063-5072.

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remote_sensor_types/chris.txt · Last modified: 2013/02/12 11:48 by gtucker