A hybrid coloring method based on elevation data and meteorological data

Abstract

A hybrid coloring method based on elevation data and meteorological data comprises the following steps that 1, global rainfall data and elevation data to be colored are read, and whether each pixel area in a current digital elevation is an arid area or a moist area is judged according to the rainfall data; Step 2, establishing moist area coloring files of the arid area respectively, performing layered coloring according to color information corresponding to the height in the coloring files, and generating a dyeing picture conforming to the natural landform; and 3, setting the position of a light source, calculating the slope direction of the slope of each vertex according to the read original elevation data, calculating a shadow result, and superposing the shadow effect into the layered color map. According to the method, an existing layered coloring technology is combined with global annual rainfall data, mixed layered coloring is carried out through drought and humid climate characteristics, a dyed image conforming to the natural landform is generated, height changes are visually represented, and the surface material expressive force is enhanced.

Description

technical field [0001] The invention belongs to the technical field of geographic information, in particular to a mixed coloring method based on elevation data and meteorological data. Background technique [0002] In the geographic information system (GIS for short) industry, the construction of a 3D terrain environment usually uses elevation data (DEM for short) and satellite remote sensing images for texture mapping to present terrain and landforms. The amount of elevation data and satellite remote sensing image data is large, and the storage and call of data takes up a lot of storage space and computing resources, which puts a huge pressure on the real-time performance of the system. On the other hand, the original elevation data of the map cannot clearly display the terrain. height range. How to generate a piece of data with topographic characteristics and topographic distribution without imposing a load on system storage and processing has become an urgent problem to ...

AI Technical Summary

Problems solved by technology

[0004] 1) Lack of three-dimensionality, the data after layering and coloring is too flat, the ups and downs of the mountains cannot be observed intuitively, and the recognition of the mountains is not high;

[0005] 2) The surface material performance is insufficient. In the layered coloring process, it only relies on the height zone coloring, lacks the details of the natural landform, and cannot fully display the characteristics of the landform.

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