HIGH-RESOLUTION REMOTE SENSING MONITORING OF MARINE WATER QUALITY FACTORS IN THE COASTAL WATERS OF JIANGSU PROVINCE

With the rapid development of agriculture, industry, aquaculture, shipping, and tourism in Jiangsu Province, more production and domestic sewage is directly or indirectly discharged into its coastal waters, which continuously increases the content of nitrogen, phosphorus and soluble organic matter in the sea and causes more and more people to pay attention to the marine environmental problems. The traditional monitoring methods of marine water quality factors generally use non-imaging spectrometer to measure the spectral reflectance, transmittance and other radiance of various features; although they can help understand the spectral characteristics of marine water factors, it cannot improve the accuracy of analysis and application of different types of remote sensing data, and cannot simulate and calibrate the performance of all imaging spectrometers before launch. The digital images and positioning data of high-resolution remote sensing can be equipped with single-band, multi-band, panchromatic band and other sensors for special monitoring targets, with the technical capabilities of area coverage, vertical or oblique imaging; the spatial resolution of the acquired image depends on the sensor and the highest can reach the centimeter level. Therefore, on the basis of summarizing and analyzing previous research works, this paper expounds the research status and significance of the monitoring of marine water quality factors in the coastal waters of Jiangsu Province, elaborates the development background, current status and future challenges of high-resolution remote sensing technology, introduces research objects, observation methods, data sources, remote sensing inversion algorithms and comprehensive evaluation methods, proposes a statistical model for evaluation factors of marine water quality, conducts the remote sensing inversion and comprehensive evaluation of marine water quality factors, implements the highre-solution remote sensing monitoring of water quality factors, analyzes the remote sensing inversion accuracy of marine water quality factors, and finally discusses the monitoring results of marine water quality factors in the coastal waters of Jiangsu Province. The research results show that high-resolution remote sensing monitoring can analyze the inter-correlations between water quality variables, remote sensing data bands, and remote sensing data band combinations, on which the multiple regression model for water quality variables with traditional statistical multiple regression methods is based. In addition, the high-resolution remote sensing technology can not only meet the measurement accuracy requirements of marine water quality monitoring, but also perform faster dynamic updates and handle different spatial distribution data, which can ensure that the dynamic information is monitored in real time, and promote the sustainable use of marine resources and the healthy development of the ocean economy. The research results of this paper provide a reference for the follow-up researches on high-resolution remote sensing monitoring of marine water quality factors in the coastal waters of Jiangsu Province.