Green tide disaster monitoring system based on multi-source data

Weitao Shang; Zhiqiang Gao; Xiaopeng Jiang; Chaoshun Liu; Wei Gao

doi:10.1117/12.2235897

19 September 2016 Green tide disaster monitoring system based on multi-source data

Weitao Shang, Zhiqiang Gao, Xiaopeng Jiang, Chaoshun Liu, Wei Gao

Proceedings Volume 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII; 99750O (2016) https://doi.org/10.1117/12.2235897
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

This paper builds a green tide disaster monitoring system based on remote sensing monitoring platform, UAV (Unmanned aerial vehicle) monitoring platform and ship monitoring platform. The system aims at multi-faceted monitoring green tide disasters with remote sensing data, UAV data and ship monitoring data. With this system, the author has continuously monitored the green tide outbreak of Chinese Yellow Sea in 2016. Research conclusions were achieved as follows. The system can quickly get spatial distribution information of green tide disaster, obtain high-resolution remote sensing data and field verification data of key monitoring areas; It can cover the shortage of a single data source by green tide monitoring, significantly improve time resolution and spatial resolution of green tide monitoring data, thus providing data support for dynamic monitoring of green tide; The system can provide data support for the prevention and control of green tide in three different scales.

Citation Download Citation

Weitao Shang, Zhiqiang Gao, Xiaopeng Jiang, Chaoshun Liu, and Wei Gao "Green tide disaster monitoring system based on multi-source data", Proc. SPIE 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII, 99750O (19 September 2016); https://doi.org/10.1117/12.2235897

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