摘要
植被是陆地生态系统的基本组成部分,遥感观测的植被冠层反射特性与植被参数之间的响应关系是植被遥感的基础,也是遥感传感器设计的关键。利用Sobol算法和PROSAIL模型,对叶绿素含量和叶面积指数等植被参数进行全局敏感性分析,研究植被参数在典型遥感波段(蓝、绿、红、红边和近红外)的响应敏感性,并对比了由传感器的中心波长和波段宽度差异造成的影响。结果表明,在480~680nm可见光波段,冠层反射率对叶绿素含量变化的总敏感度达81.3%,且在宽波段的传感器中更敏感;在720~735nm红边波段,太阳天顶角的总敏感度可达7.2%,且在宽波段的传感器更敏感;在790~960nm近红外波段,干物质含量的总敏感度达60.5%,且在窄波段的传感器中略敏感。研究结果对无人机遥感应用等领域提供理论依据,对传感器的选择具有参考价值。
Vegetation is a basic component of the terrestrial ecosystem.The response of the vegetation canopy reflection characteristics to vegetation parameters is the core of vegetation remote sensing and the key to design remote sensing sensors.This article uses the Sobol algorithm and PROSAIL model to explore the global sensitivity of vegetation parameters such as chlorophyll content and leaf area index.The response sensitivity of vegetation parameters in typical remote sensing bands(i.e.,blue,green,red,red edge and near infrared)was studied and compared.The influence of band settings such as center wavelength and band width were explored.Results show that in the visible light band(480-680 nm),the total sensitivity of the canopy reflectance to changes in chlorophyll content is up to 81.3%,and was even more sensitive for wide-band sensors.Besides,in the red-edge band of 720-735 nm,the total sensitivity of the apex angle reached 7.2%,and it is more sensitive for wide-band sensors.For the near-infrared band of 790-960 nm,the total sensitivity of the dry matter content is 60.5%,and it is slightly sensitive for the narrow band sensor.This study not only provides theoretical support for the applications of UAV remote sensing and other relevant fields,but also is beneficial for sensor selection.
作者
邹寒月
毛智慧
邓磊
ZOU Hanyue;MAO Zhihui;DENG Lei(College of Resources Environment&Tourism,Capital Normal University,Beijing 100048,China;Fishery Resource and Environment Research Center,Chinese Academy of Fishery Sciences,Beijing 100141,China)
出处
《地理信息世界》
2021年第3期25-33,共9页
Geomatics World
基金
科技创新服务能力建设-基本科研业务费(科研类)(20530290059)。
