Time sequence forest change monitoring method based on IFI

Abstract

The invention discloses a time sequence forest change monitoring method based on IFI. The method comprises the following steps: preprocessing a remote sensing image; establishing a normalized difference vegetation index NDVI by using reflectivity of near infrared band and red light band, then performing water body and shadow dark substance masking, and identifying the water body and shadow in themasked remote sensing image; using a window with a fixed size in a red light wave band to perform image segmentation processing, and executing automatic extraction operation on the remote sensing image to obtain a forest training sample; performing whole-scene remote sensing image forest and non-forest pixel identification according to the remote sensing image in the forest training sample and anintegrated forest index operation rule to obtain a time sequence IFI image; and complementing the information of the image of the masked part by using an image interpolation method, and carrying out forest change monitoring time sequence analysis to obtain a forest disturbance recovery information graph. According to the invention, full-automatic identification of forest change information is realized, errors are reduced, and the accuracy of forest change monitoring and the timeliness of a monitoring result are improved.

Description

technical field [0001] The invention belongs to the field of satellite remote sensing applications and relates to an IFI-based time series forest change monitoring method. Background technique [0002] Forest is a biome mainly composed of woody plants. On land, forests can be roughly divided into coniferous forests, broad-leaved forests, mixed coniferous and broad-leaved forests, and shrub forests. The forest is not only the control room of nature, but also the basis for the development of the forestry industry in human society, and it is closely related to human health, human living environment and national economic development. Carrying out forest change monitoring, that is, conducting regular fixed-point analysis and evaluation of the quantity, quality, spatial distribution and utilization of forest resources, is an essential link in forest management and protection. [0003] The traditional method of forest change monitoring mainly uses ground surveys for monitoring. Al...

AI Technical Summary

Problems solved by technology

However, these methods have their own advantages and disadvantages, and are easily limited by factors such as operator experience, threshold setting, and imaging time, and are difficult to promote and apply on a large scale.

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