Application requirement analysis of high spectral and high spatial resolution satellite for environment remote sensing monitoring

S. H. Liu; Y. P. Yang; Z. H. Zhao; Y. J. Yao; X. J. Mao; Y. T. Wu; Y. H. Gao

doi:10.1117/12.2268697

8 March 2017 Application requirement analysis of high spectral and high spatial resolution satellite for environment remote sensing monitoring

S. H. Liu, Y. P. Yang, Z. H. Zhao, Y. J. Yao, X. J. Mao, Y. T. Wu, Y. H. Gao

Author Affiliations +

Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 102552E (2017) https://doi.org/10.1117/12.2268697
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China

Abstract

China's environmental situation is still grim, environmental pressure continues to increase. The demand of environmental protection work in the new era for high resolution remote sensing application will continue to increase. Environmental monitoring has multi factor, quantitative inversion and high precision as features, environment department need to use a wide spectrum of remote sensing data with high spectral resolution capability to monitor the total amount of pollutants in macro scale and long time series. The implementation of the high resolution earth observation project provides support for the improvement of the quantitative application of environmental remote sensing. On the basis of sorting out the key work of environmental protection, the application requirements of high spectral resolution and high spatial resolution satellite remote sensing in the field of environmental protection and the building needs of national environmental remote sensing application platform are put forward.

Citation Download Citation

S. H. Liu, Y. P. Yang, Z. H. Zhao, Y. J. Yao, X. J. Mao, Y. T. Wu, and Y. H. Gao "Application requirement analysis of high spectral and high spatial resolution satellite for environment remote sensing monitoring", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102552E (8 March 2017); https://doi.org/10.1117/12.2268697

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