LISS-3* camera for Resourcesat

Chirag Dewan; Sandip Paul; Himanshu Dave; S. S. Sarkar; Surendra Singh; P. J. Shah; Rattan Bisht

doi:10.1117/12.693943

22 December 2006 LISS-3* camera for Resourcesat

Chirag Dewan, Sandip Paul, Himanshu Dave, S. S. Sarkar, Surendra Singh, P. J. Shah, Rattan Bisht

Proceedings Volume 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications; 64050Y (2006) https://doi.org/10.1117/12.693943
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

Abstract

This paper deals with the salient features of LISS-3* Camera of Resourcesat-1, its onboard performance and also the highlights of Camera being developed for Resourcesat-2. LISS-3* camera is based on linear push-broom technique and contains four independent refractive optics, detectors and associated electronics for each band. The field of view is 10° and is covered with a single 6000 element linear detector in each band. The visible bands use Silicon CCDs, having 10μ x 7μ element size and 10μ pitch. The SWIR band uses 13μ pitch staggered InGaAs linear active detector. Camera Electronics is custom designed for each detector and adopts simultaneous readout mode. The video signal is digitized with 7-bit ADC in VNIR bands and the gain selection of 1:3 is incorporated to cover wide range. In case of SWIR band the video digitized with 12 bits of which 10MSBs are transmitted. Four gains are implemented with bit sliding. The camera components are mounted in a precisely fabricated and stable structure made out of Invar. The LISS-3* Camera onboard Resourcesat-1 is providing excellent imageries and the data is routinely used world over primarily for vegetation monitoring. Similar Camera is being developed for Resourcesat-2 keeping the overall performance characteristics same but minimizing electronic hardware.

Citation Download Citation

Chirag Dewan, Sandip Paul, Himanshu Dave, S. S. Sarkar, Surendra Singh, P. J. Shah, and Rattan Bisht "LISS-3* camera for Resourcesat", Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 64050Y (22 December 2006); https://doi.org/10.1117/12.693943

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