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Remote sensing estimation method for total algae stock of eutrophic lake under non-algae bloom condition

A eutrophication and non-algae bloom technology, applied in the direction of color/spectral characteristic measurement, can solve difficult problems such as the distribution of algae

Active Publication Date: 2015-12-30
NANJING INST OF GEOGRAPHY & LIMNOLOGY
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Problems solved by technology

Therefore, it is difficult to truly characterize the distribution of algae in the water body by monitoring the area covered by algae blooms alone. Only by obtaining the total algae stock in the water body can we accurately grasp the change situation of cyanobacteria

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  • Remote sensing estimation method for total algae stock of eutrophic lake under non-algae bloom condition
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  • Remote sensing estimation method for total algae stock of eutrophic lake under non-algae bloom condition

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Embodiment Construction

[0033] In order to better understand the technical content of the present invention, specific embodiments are given together with the attached drawings for description as follows.

[0034] Aspects of the invention are described in this disclosure with reference to the accompanying drawings, which show a number of illustrated embodiments. Embodiments of the present disclosure are not necessarily intended to include all aspects of the invention. It should be understood that the various concepts and embodiments described above, as well as those concepts and embodiments described in more detail below, can be implemented in any of a number of ways, which should be the concepts and embodiments disclosed by the present invention and not Not limited to any implementation. In addition, some aspects of the present disclosure may be used alone or in any suitable combination with other aspects of the present disclosure.

[0035]The present invention gives MODIS satellite data to the rem...

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Abstract

The invention provides a remote sensing estimation method for the total algae stock (token: chlorophyll a gross and dimension: t) of a eutrophic lake under the non-algae-bloom condition. The method includes the steps that NDBI threshold values of the non-algae-bloom condition of the lake are screened and judged; on the basis of photobiological model simulation and measured data, the quantitative relation between NDBI and water surface chlorophyll a concentration under the non-algae-bloom condition is acquired and generalized to MODIS satellite image data corrected by rayleigh scattering; based on measured section data, a lookup table between the total biomass of an algae surface layer and the total algae stock within different water depth ranges is acquired; based on the same-day water level of the middle temple of the Chaohu Lake and the Chaohu Floodgate Station and the underwater DEM of Chaohu Lake, the water depth space distribution of the Chaohu Lake is determined; based on the total algae stock in unit pixels of an MODIS satellite image, estimation is performed. Based on the method, the inter-annual and inter-monthly change rule and space distribution of the total algae stock of the eutrophic lake under the non-algae-bloom condition can be accurately obtained.

Description

technical field [0001] The invention relates to a remote sensing method for estimating the total stock of algae under the condition of non-algae bloom in eutrophic lakes. Background technique [0002] The algal blooms caused by algae blooms are an important feature of lake water eutrophication (Kong Fanxiang and Gao Guang, 2005), and my country has become one of the countries with the most serious outbreaks of cyanobacteria blooms and the widest distribution in the world (Wu Qinglong et al., 2008) . Satellite remote sensing has the characteristics of fast, large-scale, and periodicity, and has become an indispensable technical means for monitoring, forecasting and early warning of cyanobacteria blooms in lakes (Pandel and Ma Ronghua, 2008). At present, the satellite remote sensing monitoring of cyanobacterial blooms in the middle and lower reaches of the Yangtze River in my country (Taihu Lake, Chaohu Lake, etc.) has basically realized operational operation (Ma Ronghua et al...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
Inventor 张玉超马荣华段洪涛李晶
Owner NANJING INST OF GEOGRAPHY & LIMNOLOGY
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