Error analysis on Green Tide monitoring using MODIS data in the Yellow Sea based on GF-1 WFV data

Fuxiang Xu; Zhiqiang Gao; Jicai Ning; Xiangyu Zheng; Chaoshun Liu; Wei Gao

doi:10.1117/12.2235908

19 September 2016 Error analysis on Green Tide monitoring using MODIS data in the Yellow Sea based on GF-1 WFV data

Fuxiang Xu, Zhiqiang Gao, Jicai Ning, Xiangyu Zheng, Chaoshun Liu, Wei Gao

Proceedings Volume 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII; 99750P (2016) https://doi.org/10.1117/12.2235908
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

In recent years, MODIS data were widely used in dynamic monitoring of Green Tide. However, the images may contain lots of mixed pixels because of coarse resolution ,which will cause the error of the monitor result1,2. In this paper, the monitoring error was quantitatively analyzed with the help of GF-1 WFV data, which has a high resolution of 16 merers and the monitoring result of which were considered to be accurate. The conclusions are as follows: there are errors in both dense and sparse Enteromorpha monitoring using MODIS data, and the error in sparse Enteromorpha is larger. Most of the error is concentrated on the edge of the floating Enteromorpha patch. MODIS has a good ability in observing the location of Enteromorpha , and it can play an important role in the dynamic monitoring of multi source data.

Citation Download Citation

Fuxiang Xu, Zhiqiang Gao, Jicai Ning, Xiangyu Zheng, Chaoshun Liu, and Wei Gao "Error analysis on Green Tide monitoring using MODIS data in the Yellow Sea based on GF-1 WFV data", Proc. SPIE 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII, 99750P (19 September 2016); https://doi.org/10.1117/12.2235908

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