Land utilization classification rule set and water and soil loss monitoring method and system

Abstract

The invention relates to a land utilization classification rule set and a water and soil loss monitoring method and system. The invention aims to provide a land utilization classification rule set anda water and soil loss monitoring method and system. According to the technical scheme, the land utilization classification rule set is characterized by comprising the steps that S1, a DOM and a DSM are generated according to aerial image data; S2, the DOM is segmented based on multi-scale segmentation; S3, the land utilization classification is carried out based on the spectrum, shape and texturefeatures of the aerial image data and the terrain height features provided by the DSM, and the current land utilization situation is obtained. The method is suitable for the technical field of waterand soil loss monitoring, and is especially suitable for monitoring the surface erosion situation in hydraulic erosion.

Description

technical field [0001] The invention relates to a land use classification rule set, a soil erosion monitoring method and a system. It is suitable for the technical field of water and soil loss monitoring, especially for monitoring surface erosion in hydraulic erosion. Background technique [0002] Water and soil loss is a major environmental problem in my country. Water and soil loss and the resulting land degradation and sediment problems not only have a serious impact on local ecology, environment, human survival and social and economic development, but also have serious impacts on adjacent areas. harm. Remote sensing monitoring of water and soil loss can find out the type, intensity and distribution characteristics of water and soil loss in a high-frequency, fast and large-scale manner, which is of great importance for the comprehensive control of water and soil loss and the macro-decision-making of ecological environment construction, as well as the scientific, reasonabl...

AI Technical Summary

Problems solved by technology

[0004] The object-oriented method has incomparable potential in the land use classification of high-resolution remote sensing images. In the past, the land use classification of aerial images mostly used the characteristics of image spectrum, texture and shape, and did not make full use of the height information obtained by drones. Good to classify buildings, vegetation, waters and other features whose elevations are different from those of adjacent categories more accurately

[0005] At the same time, since the aerial images captured by UAVs only have RGB three-band data, the traditional NDVI index cannot be used to invert vegetation coverage. In the past, most engineering applications relied on the high-resolution features of UAV images. , judging the coverage of forest and grass vegetation empirically takes a lot of manpower and time

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