Remote-sensing inversion method and system for primary productivity of Shenzhen marine sites

Abstract

The invention relates to a remote-sensing inversion method for primary productivity of Shenzhen marine sites. The method comprises that Landsat TM remote-sensing image data is input; normalized difference vegetation index (NDVI) data of the Shenzhen marine sites is calculated; the NDVI data is compressed linearly to obtain NDVI'; a gradient value nablag of the obtained NDVI' data is calculated; interpolation control points are laid in the four main Shenzhen marine sites randomly and serve as common control points; a pixel of a higher nablag value is selected from the four main Shenzhen marine sites and serves as a processing object deltap, and interpolation control points are laid in the deltap randomly and serve as texture control points; inverse-distance weighted interpolation operation is carried out on data in MODIS / AQUA; photoperiod data of the Shenzhen sites in the present day is inversed, and inverse-distance weighted interpolation operation is carried out; and an OVGPM model is used to obtain a remote-sensing inversion result of the primary productivity of the Shenzhen oscean sites by calculation. The invention also relates to a remote-sensing inversion system for the primary productivity of the Shenzhen marine sites. Thus, the primary productivity of the Shenzhen marine sites can be inversed in a more accurate, simpler and rapider way.

Description

technical field [0001] The invention relates to a remote sensing inversion method and system for primary productivity in the sea area of ​​Shenzhen. Background technique [0002] Shenzhen is located on the southern coast of Guangdong Province, with a land area of ​​22°26'59" - 22°51'49"N, 113°45'44" - 114°37'21", facing Daya Bay and Dapeng Bay in the east , facing the Pearl River Estuary and Lingdingyang in the west, facing Hong Kong across the Shenzhen River in the south, and bordering Dongguan and Huizhou in the north; the sea area connects the South China Sea and the Pacific Ocean, and is mainly divided into four sea areas: the Pearl River Estuary, Shenzhen Bay, Dapeng Bay and Daya Bay. It is 257 kilometers long and has a sea area of ​​1145 square kilometers. It belongs to the subtropical marine monsoon climate. The annual average surface water temperature in the coastal sea area is 18-28°C. The main pollutants in the coastal sea area are petroleum, inorganic nitrogen an...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing methods use traditional on-site measurement methods to study marine net primary productivity, and their research scales are mostly locked in local bays such as Daya Bay. Sampling takes a long time and it is difficult to achieve large-scale sampling; In order to solve the problem of the efficiency of the method, some new technical methods have emerged, such as using remote sensing data to invert ocean net primary productivity, although these remote sensing inversion techniques have better time continuity and are convenient for analyzing the distribution of ocean net primary productivity in large-scale space However, the applicable scale of remote sensing inversion methods headed by the VGPM model is often unsatisfactory, and it is often difficult to obtain good results when faced with small-scale offshore waters. Sea areas may also face differences in remote sensing inversion. In addition, it is difficult to estimate long-term ocean net primary productivity. There are many parameters involved in the calculation, and the model is very complicated. However, existing technologies have certain limitations

Based on the above reasons, similar techniques and methods in the past mostly chose the East China Sea, Taihu Lake, and the Pearl River Estuary as the main research areas, while there are few related NPP remote sensing inversion techniques and methods for Shenzhen's coastal waters

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