WG I/1 - Multi- and Hyperspectral Sensing

Our Mission

ISPRS Working Group I/1 aims to promote design and performance investigations of multispectral and hyperspectral sensors from airborne (including UAV) and spaceborne systems. Special focus is put on snapshot frame- and line-based sensor systems as well as multi-sensor data fusion concepts. The WG I/1 intends to provide publicly available benchmark datasets for performance investigations and data simulations. Furthermore the Working Group will work closely with WG I/6 and other WG from commission I/II/III.   

Working Group Officers:



Chair  

Rupert MüllerRupert Müller
German Aerospace Center (DLR)
Remote Sensing Technology Institute
Münchener Str. 20
82234 Weßling
Germany
+49 8153 28 2758
+49 8153 28 1444

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Co-Chair  

Helge AasenHelge Aasen
ETH Zurich
Department of Environmental Systems Science, Crop Science
Universitätstrasse 2
8092 Zürich
Switzerland
+41 4463 23899

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Co-Chair  

Jean-Baptiste FéretJean-Baptiste Féret
National Research Institute of Science and Technology for Environment and Agriculture (Irstea)
Maison de la Télédétection
500 rue Jean-François Breton
34093 Montpellier
France
+334 67 54 87 49

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Secretary  

Daniele CerraDaniele Cerra
German Aerospace Center (DLR)
Remote Sensing Technology Institute
Münchener Str. 20
82234 Weßling
Germany
+49 8153 28 1496
+49 8153 28 1444

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Supporters

Key Support Personnel  

Jorge CentenoJorge Centeno
Federal University of Parana, Brazil
Setor de Ciências da Terra
Avenida Coronel Francisco Heráclito dos Santos, 210
Jardim das Américas
Curitiba, Paraná
Brasil
+55 41 3361 3153
+55 41 3361 3153

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Key Support Personnel  

Jakub BieniarzJakub Bieniarz
German Aerospace Center (DLR)
Remote Sensing Technology Institute
Münchener Str. 20
82234 Weßling
Germany
+49 8153 28 2790
+49 8153 28 1444

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Terms of Reference:

  • Design, calibration, simulation and physical modelling of hyperspectral and multispectral sensors
  • Imaging spectroscopy based on snapshot frame- and line-based camera systems in the VNIR, SWIR and LWIR spectral ranges
  • Sensor-oriented / physically-motivated hyperspectral data processing for performance analysis
  • Feasibility study for the integration of emerging technologies such as smartphone spectrometers for validation purposes
  • System performance investigations based on multi-sensor data fusion and multi- and hyperspectral applications