Constructing LEO-R Ocean Remote Sensing Constellation Using BeiDou System

GAO Chaoqun; YANG Dongkai; QIU Xuejing; ZHU Yunlong

doi:10.13203/j.whugis20160440

Volume 43 Issue 9

Sep. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(9): 1342-1348. > DOI: 10.13203/j.whugis20160440

GAO Chaoqun, YANG Dongkai, QIU Xuejing, ZHU Yunlong. Constructing LEO-R Ocean Remote Sensing Constellation Using BeiDou System[J]. Geomatics and Information Science of Wuhan University, 2018, 43(9): 1342-1348. DOI: 10.13203/j.whugis20160440

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Constructing LEO-R Ocean Remote Sensing Constellation Using BeiDou System

1.
School of Electronic Information Engineering, Beihang University, Beijing 100191, China
2.
School of Information Engineering, China University of Geosciences(Beijing), Beijing 100083, China

Funds:

The Open National Foundation of Beihang and Jinhua Research BARI1702

More Information

Author Bio:
GAO Chaoqun, PhD, specializes in GNSS-R remote sensing and object detection. E-mail:706465882@qq.com
Corresponding author:
ZHU Yunlong, PhD, lecturer. E-mail:inca_zyl@126.com
Received Date: September 29, 2016
Published Date: September 04, 2018

Graphical Abstract

Abstract

Abstract

BeiDou is developed by China independently, the distribution and number of its reflection events have special advantages, which is the important indicator of LEO-R(low earth orbit-reflection)constellation. By using the Walker architecture which has the advantage of the uniformity and stability to design LEO-R constellation, it can realize the global ocean remote sensing based on BeiDou reflected signals. The geometric relation between the constellation and BeiDou is analyzed and the judgment condition of the reflection events is also derived. The impacts of constellation parameters on the number and distribution of the BeiDou reflection events are quantitatively analyzed by proposing mark-traverse algorithm, at the same time, the chosed simulation scene is 36 hours Nepartak typhoon. The results show that the percentage of constellation coverage time is 97.619 73% and the maximum revisit time is 404.511 s, which validates the constellation good performance on the global remote sensing.
- BeiDou system,
- reflection event,
- ocean remote sensing,
- mark-traverse,
- LEO-R constellation

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