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Effectiveness of Survey Points' Density and Distribution on Vegetation Coverage Field Measurement

机译:调查点密度与分布对植被覆盖田间测量的有效性

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Vegetation coverage is a widely used parameter to measure global and regional environment change. Evaluating the accuracy and efficiency of vegetation coverage using digital photography under various survey points' densities and distribution patterns has an important referential significance for providing an optimized field measurement method. The vegetation field measurement was carried out in a sample with Artemisia ordosica shrubs in Mu Us sandy land using vertical hoisting digital camera, with four densities and nine distribution patterns of survey points. The results showed that: different density of survey points led to a slight accuracy difference, and the precision improves as the density increases. The sample size had great impact on the precision. Different point distribution patterns led to significantly different results. "' pattern can get relatively higher degree of accuracy with least points and shortest walking distance in field survey. It's the best choice that could meet the requirements of the maximum precision and minimum workload in the vegetation field measurement.
机译:植被覆盖率是一种广泛使用的参数来衡量全球和区域环境变化。在各种测量点的密度和分布模式下评估使用数码摄影的植被覆盖的准确性和效率,具有用于提供优化的场测量方法的重要参照意义。植被现场测量在使用垂直吊装数码相机的穆美洲沙地灌木的样品中进行,具有四种密度和九个调查点的分布模式。结果表明:不同的测量点密度导致略有精度差异,并且精度随着密度的增加而改善。样品大小对精度产生了很大影响。不同点分布模式导致结果显着不同。 “”模式可以在现场调查中获得相对较高的准确度和最短的步行距离。这是最佳选择,可以满足植被现场测量中最大精度和最小工作量的要求。

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