Urban forest monitoring method based on cooperation of high-resolution remote sensing data and ground survey data

Abstract

The invention discloses a high-resolution remote sensing data and ground data collaborative town forest monitoring method. The method comprises the following steps: step 1, data acquisition and preprocessing; step 2, constructing an urban forest sample label library; step 3, training and collaborative optimization of an urban forest distribution recognition model based on deep learning; step 4, identifying town forest images; and 5, verifying the ground precision of the urban forest identification result. The method has the advantages that (1) the recognition rate of the method is higher than that of a traditional method for the urban forest area with the high crushing degree; and (2) aiming at a domestic Gaofen-2 satellite image, a cooperative monitoring method of ground observation data in the whole process of sample making, urban forest coverage distribution identification and precision inspection is provided, and the monitoring precision of the urban forest is effectively improved through cooperative use of the ground observation data. And (3) the method can provide efficient and credible technical means support for related industry departments in the field of natural resources to carry out investigation and monitoring work of urban forest resources.

Description

technical field [0001] The invention relates to a method for monitoring urban forests in which high-resolution remote sensing data and ground data are coordinated, in particular to a method for monitoring urban forests based on deep learning for co-monitoring high-resolution remote sensing data and ground survey data. Remote sensing identification technology field. Background technique [0002] Urban forests generally refer to forests located in urban planning areas. The main goal of urban forests is to protect and build local ecosystems with regionality, diversity and self-succession to improve the urban ecosystems. With ecological culture or technology as the theme, it can provide sightseeing and recreation in harmony with the natural ecological process. , public places for practice and other activities. Urban forests directly provide ecological services for cities and towns, and are an important part of the urban complex ecosystem. They play an irreplaceable role in mai...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the problems of low extraction accuracy of forest cover with high fragmentation degree in the existing method, and need to re-draw samples for each extraction, low efficiency and other deficiencies, and provide a high-resolution remote sensing data and ground survey The urban forest monitoring method based on data collaboration realizes the rapid extraction and efficient monitoring of urban forest distribution based on the sample library

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