Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

A Tentative Study of Hydrological and Ecological Parametric Remote Sensing Retrieval and Estimation

Authors
Yan Li
Corresponding Author
Yan Li
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.42How to use a DOI?
Keywords
hydrological variable; ecological parameter; ecological remote sensing; estimation
Abstract

In this article, a deep analysis and exploration is conducted on hydrological and ecological parametric remote sensing. Based on a brief analysis of hydrological variables and ecological parameters, the interaction between backscatter coefficient, polarization information and precipitation intensity is analyzed. In addition, to strengthen the accuracy of hydrological and ecological remote sensing studies in relevant regions, when discussing hydrological and ecological parametric retrieval and estimation, certain methods are combined to enhance the reliability of this article.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.42How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Li
PY  - 2016/12
DA  - 2016/12
TI  - A Tentative Study of Hydrological and Ecological Parametric Remote Sensing Retrieval and Estimation
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 190
EP  - 193
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.42
DO  - https://doi.org/10.2991/iceeecs-16.2016.42
ID  - Li2016/12
ER  -