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整合无人机可见和多光谱图像,以评估沙草原的牧场诱导的植被反应

Qiang Guan¹, Mingyang Jiang¹, Wen Du²

¹College of Computer Science and Technology, Inner Mongolia Minzu University, Tongliao, China.

Frontiers in plant science

|December 29, 2025

概括

无人驾驶飞行器 (UAV) 遥感有效监测沙草原上的放牧强度. 这种先进的方法通过准确检测植被变化来改善生态平衡和可持续土地管理.

科学领域:

生态遥感器生态遥感器
可持续的土地管理
植被监测植被监测植物监测

背景情况:

传统的牧场监测方法缺乏空间分辨率和光谱丰富性.
基于无人机 (UAV) 的遥感为草原研究提供了精细的,可重复的观测.
精确监测放牧强度对于沙草原的生态平衡至关重要.

研究的目的:

评估基于无人机的多源遥感用于监测放牧强度的有效性.
开发新的光谱指数和特征选择方法,以提高放牧影响检测.
提高放牧强度识别模型的准确性和稳定性.

主要方法:

在内蒙古沙草原进行了无人机视觉和多光谱图像采集.
使用统计测试分析了光谱反应,并开发了新的光谱指数.
采用自动增量特征选择 (AIFS) 算法与机器学习分类器用于牧场强度识别.

主要成果:

可见波段与放牧强度相关;红边和近红外波段捕捉了植被结构的变化.
新的光谱指数在区分温和的牧场水平方面表现优于传统的.
以AIFS优化的模型实现了高精度 (OA=92.13%,Kappa=88.99%),超过了其他方法.

结论:

将无人机图像与智能功能选择集成,可以提高对草地冲击的检测.
这种方法为高精度草原监测提供了强大的框架.
该研究支持干旱和半干旱地区的可持续生态管理.

关键词:

功能选择功能选择放牧强度的放牧强度是什么多源远程传感多源远程传感沙的草原沙的草原频谱指数是指光谱指数.无人驾驶飞行器是一种无人驾驶飞行器.

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