C language + Python respectively evaluates the planting and lighting conditions of forest trees

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Tree planting and light condition assessment is a complex process that often involves knowledge and techniques from multiple disciplines. Below I will briefly introduce its principle, underlying architecture, usage scenarios, and some related products and literature materials.

The principle is explained in detail:

Light condition assessment refers to the determination of factors such as the hours of sunshine, the amount of solar radiation and the distribution of shadows in a particular area. This is very important for tree planting, because different tree species have different light requirements. Here are some key principles:

  • Geographic Information System (GIS) data: Using GIS, geographic data such as topography, relief, altitude, latitude and longitude can be obtained, which are important for the assessment of light conditions.

  • Remote sensing data: Satellite remote sensing data can provide information on large areas of the land surface, including cloud cover, vegetation cover, and land use. These data can be used to estimate sunshine duration and solar radiation.

  • Sun position model: The sun position model can calculate the sun elevation and azimuth angle at a specific time at a specific location. These parameters are crucial for determining lighting conditions.

  • Terrain Analysis: Understanding terrain features such as mountains, valleys, and bodies of water can help predict shadow distribution.

Explanation of usage scenarios:

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Origin blog.csdn.net/feng1790291543/article/details/132446950