Forest land classification method based on remote sensing image

Abstract

The invention provides a forest land classification method based on a remote sensing image. The forest land classification method is characterized by specifically comprising the steps of: selecting aforest land region to be classified to obtain data; preprocessing the remote sensing image; acquiring all forest land types in the remote sensing image; establishing a forest land second-level classification system suitable for the forest land region; matching coordinates of an on-the-spot investigation point positions of forest land types with the remote sensing image; performing computer automatic extraction on forest land classification information, and generating an automatically classified forest land classification map; performing manual visual correction on the forest land classification map; and determining precision of a classification result. The forest land classification method comprehensively utilizes the geometrical morphology and structural information of surface features, such as texture, shape, structure, spatial combination relationship and the like, gives consideration to more information such as structures and features, and improves the classification precision; andthe forest land classification method establishes the remote sensing oriented forest land second-level classification system, and ensures the classification consistency and result comparability of the forest land remote sensing and monitoring data; and the forest land classification method provided by the invention is convenient, precise and efficient, and realizes the rapid and precise monitoring of regional forest land resources.

Description

[0001] This technology is applicable to the fields of remote sensing and geographic information systems, specifically a forest land classification method based on remote sensing images. Background technique [0002] Forest land plays an irreplaceable role in supporting sustainable economic and social development and is a dynamic resource. Carry out investigation and monitoring of forest land resources, conduct continuous follow-up investigations on the state of forest land resources in a certain space and time, grasp its current situation and changes in growth and decline, and predict its development and change trends, in order to formulate forestry guidelines, policies, medium and long-term planning and forestry production and management It is of great significance to improve the scientific decision-making level of forestry development and economic and social development, and to promote the sustainable development of forestry, resource environment, and economic society. [00...

AI Technical Summary

Problems solved by technology

Due to the low and medium spatial resolution remote sensing images used in the past, the minimum area of ​​forest area division is too large and the scale of the map is small

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