Forest change rapid detection method research based on Gaofen-2 image

Abstract

The invention discloses a forest change rapid detection method research based on a Gaofen-2 image, belongs to the technical field of forest resource dynamic change monitoring, and aims at obtaining aremote sensing image of a forest resource to be detected in a continuous time period through GF2 multispectrum, taking an original image as a reference image, registering a later image through selecting a control point, cutting out an image overlapping region as a sample region; extracting change information by utilizing the difference of spectral characteristics of different ground objects and adopting an image difference method. According to the the identification capability of the GF-2 multispectral remote sensing data is adopted to better adapt to the characteristics of more change patternspots and small area in a sample area, a high-precision forest change detection result is obtained, and meanwhile, according to the characteristics of the sample area, difference of spectral characteristics among different ground objects is fully utilized, an image difference method is adopted to extract change information, and the method is simple, capable of reducing calculation complexity, easy to implement and capable of well meeting the requirement for rapid and effective extraction of forest change information.

Description

technical field [0001] The invention belongs to the technical field of dynamic change monitoring of forest resources, and in particular relates to a research on a rapid detection method of forest changes based on Gaofen-2 images. Background technique [0002] Forest resources monitoring refers to the analysis, observation and evaluation of the quantity, quality, spatial distribution and utilization status of forest resources on a regular basis. Through the study of forest dynamic changes, we can keep abreast of the quantity and quality of forest resources, grasp the law and trend of forest resource growth and decline, analyze the natural, economic and social objective conditions that affect and restrict forest growth, establish or update forest resource files, It is of great significance to reveal the environmental changes of the ecosystem and the vegetation restoration and reconstruction layout. [0003] With the rapid development of social economy, the expansion rate of u...

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Problems solved by technology

[0004] The existing forest resource monitoring is mainly on-the-spot inspection, but the method of field inspection is inefficient when sampling large-scale forest resources, and the real-time monitoring of forest resource status is poor, while the application of remote sensing technology to monitor forest resources , its implementation is relatively good, but this monitoring method largely depends on the resolution of remote sensing technology and the accuracy of extracting forest resource characteristic parameters, and the interval between detection changes is long. Therefore, to achieve rapid detection The dynamic changes of forest harvesting and regeneration in a short period of time have important practical significance