Study on Ulva prolifera disaster monitoring based on domestic geostationary satellite GF4-MSS data

doi:10.14088/j.cnki.issn0439-8114.2022.23.038

HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (23): 190-196.doi: 10.14088/j.cnki.issn0439-8114.2022.23.038

• Information Engineering • Previous Articles Next Articles

Study on Ulva prolifera disaster monitoring based on domestic geostationary satellite GF4-MSS data

DONG Jing-ming¹, SHI Xuan-shuo², ZHANG Yin-yi¹, HAO ling¹, MA Chen-chen¹

1. Lianyungang Meteorological Bureau, Lianyungang 222000,Jiangsu,China;
2. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

Received:2022-02-16 Online:2022-12-10 Published:2023-01-27

Abstract

Abstract: Based on the top-of-atmosphere reflectance of the domestic geostationary satellite GF4-MSS （Multi-spectral Scanner） sensor, the greenness index obtained by tasseled cap transformation analysis was used to realize the accurate monitoring of Ulva prolifera disaster. The algorithm did not need atmospheric correction and cloud mask, which was easy to operate and implement, and could effectively eliminate cloud pixel interference. The greenness index was applied to multiple GF4-MSS remote sensing images in 2019 to effectively analyze the dynamic changes of Ulva prolifera bloom range, which provided new technical support for the monitoring of Ulva prolifera disasters by domestic high-resolution satellite series, and promoted the utilization rate of domestic optical satellite data.

Key words: Ulva prolifera, disaster monitoring, satellite Gaofen 4, greenness index

CLC Number:

DONG Jing-ming, SHI Xuan-shuo, ZHANG Yin-yi, HAO ling, MA Chen-chen. Study on Ulva prolifera disaster monitoring based on domestic geostationary satellite GF4-MSS data[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(23): 190-196.

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Study on Ulva prolifera disaster monitoring based on domestic geostationary satellite GF4-MSS data

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