无人机可见光光谱的植被覆盖度估算新方法A new estimation method for fractional vegetation cover based on UAV visual light spectrum
谢兵;杨武年;王芳;
摘要(Abstract):
针对常见可见光植被指数提取植被覆盖度存在的问题,该文提出一种新的可见光植被指数——红绿蓝比值植被指数,该方法直接采用红绿蓝像元值计算,方法简单快速,探索建立了新植被指数与植被覆盖度之间的相关关系,并利用相邻乡镇航片以两种方法验证了新植被指数的可靠性。结果表明:采用红绿蓝比值植被指数,通过低空无人机获取多张航片拼接成大范围航片提取植被覆盖度信息总体精度达到93.5%,为小型无人机小面积研究区域高精度植被覆盖度快速获取提供了方法,对林业调查、农业监测有着重要作用。
关键词(KeyWords): 无人机;光谱特性;植被指数
基金项目(Foundation): 国家自然科学基金项目(41671432);; 四川省教育厅科研项目(15ZB0451);; 德阳市2017年第二批应用技术研究与开发项目(2017ZZ064);; 德阳市科学技术和知识产权局科研项目(2015ZZ047);; 四川建筑职业技术教育学院项目(2015KJ10)
作者(Authors): 谢兵;杨武年;王芳;
DOI: 10.16251/j.cnki.1009-2307.2020.09.012
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