Rapid monitoring method for aquatic plants in shallow lake based on HJ-CCD images

A technology of HJ-CCD and aquatic plants, applied in the direction of measuring devices, color/spectral characteristic measurement, instruments, etc., can solve the problems of difficult monitoring, representativeness, poor timeliness, limited monitoring range and sample size, etc.

Inactive Publication Date: 2014-07-09
NANJING INST OF GEOGRAPHY & LIMNOLOGY
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Problems solved by technology

[0004] In order to solve the problems and deficiencies of traditional aquatic plant monitoring methods such as representativeness and poor timeliness; time-consuming and laborious, limited monitoring range and sample size, and difficult monitoring

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  • Rapid monitoring method for aquatic plants in shallow lake based on HJ-CCD images
  • Rapid monitoring method for aquatic plants in shallow lake based on HJ-CCD images
  • Rapid monitoring method for aquatic plants in shallow lake based on HJ-CCD images

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[0067] specific implementation

[0068] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. A rapid monitoring method for aquatic plants in shallow lakes based on HJ-CCD images, taking Taihu Lake and Hongze Lake as examples, which are typical large shallow lakes in China (with an average depth of 1.9 meters). Among them, the longitude and latitude range of Taihu Lake is 119.55-120.34E, 30.55-31.32N; the longitude and latitude range of Hongze Lake is 118.18-118.52E, and the north latitude is 33.22-33.37N. According to research and data, there are large areas of aquatic plants distributed in the east of Taihu Lake and Hongze Lake, mainly in the following three categories: emergent plants, floating leaf plants and submerged plants. At present, due to the intense human activities in recent years, the lake aquatic plants and wetland environment have caused serious interference and damage. Remote sensing technology is...

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Abstract

The invention provides a rapid monitoring method for aquatic plants in a shallow lake based on images of a resource environment moonlet No.1 (HJ-CCD). The method comprises the following steps: 1) acquiring HJ-CCD images of a researched region and preprocessing the images; 2) calculating sensitive characteristic indexes of emergent aquatic plants according to the HJ-CCD images of the researched region; 3) subjecting the HJ-CCD images of the researched region to principal component transformation so as to obtain sensitive characteristics of floating-leaved plants; 4) subjecting the HJ-CCD images of the researched region to tasseled cap transformation so as to obtain sensitive characteristic indexes of submerged plants; 5) determining and recognizing thresholds of different aquatic plants according to measured data synchronous to the images of the researched region and bringing forward discrimination conditions; and 6) establishing a decision tree classification model according to the discrimination conditions and generating a shallow lake aquatic plant monitoring result graph. The method can realize rapid, real-time, large-scale and high-precision recognition and monitoring of spatial distribution of aquatic plants of different kinds.

Description

technical field [0001] The invention belongs to the field of remote sensing applications and relates to a remote sensing rapid monitoring method for aquatic plants in shallow lakes. Background technique [0002] Aquatic plants are an important part of the lake ecosystem, as well as an important regulator and indicator of the lake ecosystem. The real-time and rapid monitoring of aquatic plants has guiding significance for the evaluation of the ecological function of lake ecosystems, and at the same time, it has important practical significance for the restoration of turbid lake ecosystems and the salvage of aquatic plants. [0003] At present, the monitoring methods of aquatic plants still use artificial quadrats and line transect survey methods, which are time-consuming and laborious, with limited monitoring scope and sample size, and difficult monitoring (many places where aquatic plants grow are difficult for people to reach), and cannot be quickly, real-time, large-scale....

Claims

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Application Information

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IPC IPC(8): G01N21/25G01B11/28
Inventor 罗菊花李鑫川许金朵林晨马荣华胡维平
Owner NANJING INST OF GEOGRAPHY & LIMNOLOGY
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