BRDF feature observation method and modeling of desert site based on UAV platform

  • role: First author第一作者
  • Affiliation:

    Henan Polytechnic University, School of Surveying and Land Information Engineering, Jiaozuo 454003, China

  • Email:cometcn2015@outlook.com
  • Introduction:1995E-mail cometcn2015@outlook.com
TAO Bingcheng1,  
  • role: Corresponding author通信作者
  • Affiliation:

    National Satellite Meteorology Center, Beijing 100081, China

  • Email:huxq@cma.cn
  • Introduction:1973E-mail huxq@cma.cn
HU Xiuqing2*,  
  • Affiliation:

    Henan Polytechnic University, School of Surveying and Land Information Engineering, Jiaozuo 454003, China

YANG Leiku1,  
  • Affiliation:

    National Satellite Meteorology Center, Beijing 100081, China

ZHANG Lu2,  
  • Affiliation:

    National Satellite Meteorology Center, Beijing 100081, China

CHEN Lin2,  
  • Affiliation:

    National Satellite Meteorology Center, Beijing 100081, China

XU Na2,  
  • Affiliation:

    National Satellite Meteorology Center, Beijing 100081, China

WANG Ling2,  
  • Affiliation:

    Beijing AZUP International, Beijing 100081, China

WU Ruiqiang3,  
  • Affiliation:

    Beijing AZUP International, Beijing 100081, China

ZHANG Dufeng3,  
  • Affiliation:

    National Satellite Meteorology Center, Beijing 100081, China

ZHANG Peng2

реферат

The Bidirectional Reflectance Distribution Function (BRDF) is not only a key geophysical parameter for land surface remote sensing, but also an important parameter for radiation correction of the spaceborne optical remote sensing instruments. Observation equipment used for traditional field object multiangle measurement is generally relatively complex and heavy, and the transportation and assembly processes are cumbersome. Observing targets is easy restricted by terrain and traffic, and efficient and rapid field measurements are difficult to perform. In recent years, UAVs can be used as new observation platforms in current remote sensing experiments due to their advantages, such as simple operation of equipment, flexible transportation, and observation methods.A ground surface BRDF measurement device, observation scheme, and data processing flow based on a UAV platform are innovatively designed. Using a combination of a multirotor low-altitude drone and a gimbal, equipped with a portable ground object spectrometer and a follow-up camera, can provide high-precision positioning and angle control for multiangle observation of ground targets, thereby achieving multiazimuth and sky for fixed targets. This design scheme and observation process are adopted to carry out multiple multiangle spectral observation experiments of stable and uniform desert targets in the Dunhuang radiation correction field, and the experimental observation data are used to estimate the site BRDF model parameters based on the Ross-Li nuclear driving model, and MODIS. Land surface BRDF product (MCD43C1) and reflectivity product (MOD/MYD09) are compared and verified.Field experiments have verified the reliability of this new equipment. At the same time, the analysis results of observation data show that the BRDF parameters of Dunhuang surface measured by the proposed device have good consistency with MODIS remote sensing products, and the relative deviation of each band is within 5%.This study shows that the BRDF observation system based on multirotor drones provides a new and flexible observation method for the reflection characteristics of ground objects in the direction of the target. It can greatly reduce the investment of manpower and material resources while ensuring the accuracy of observation, which is worthy of widespread promotion and application.

ключеви́че слова́

UAV;desert;bidirectional reflectance distribution function;directional reflectance;calibration field

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