Measurements of CRCS Dunhuang Gobi Surface Reflectance Spectrum
Using Multi-Rotor UAV and Its Calibration Evaluations
ZHANG Yong1, 2, 3, XU Han-lie1, 2, ZHANG Li-jun1, 2, LI Yuan1, 2, SUN Ling1, 2, QIN Dan-yu1, 2, RONG Zhi-guo1, 2, HU Xiu-qing1, 2, LU Qi-feng4, LU Nai-meng1, 2
1. Key Laboratory of Radiometric Calibration and Validation for Environment Satellites, National Satellite Meteorological Center （National Center for Space Weather），China Meteorological Administration, Beijing 100081, China
2. Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China
3. Meteorological Satellite Engineering Management Office, China Meteorological Administration, Beijing 100081, China
4. Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing 100081, China
Abstract：The satellite-ground synchronous observation experiment at China Radiometric Calibration Sites (CRCS) Dunhuang is one of the primary methods for achieving absolute radiometric calibration of China's meteorology, oceanography, land resource, environmental disaster monitoring, and military series satellite optical imaging payloads solar reflection bands. However, the traditional method of surface reflectance spectral satellite-ground synchronous measurement at CRCS Dunhuang Site is based on vehicle observation, which not only consumes significant resources and can damage the site but results in measurement data lacking regional representativeness. To address this issue, the 2016 satellite-ground synchronous observation experiment at CRCS Dunhuang primarily utilized rotor drones for low-altitude synchronous measurements supplemented by vehicle observations. The experiment covered all process aspects, including route design, altitude selection, instrument parameter configuration, sampling strategy, and aviation data processing. Multiple flight tests have shown that using rotor drones for low-altitude measurements, instead of vehicle-based measurements, improves the spatial consistency and representativeness of ground reflectance characteristics. Using drone-based measurements also increases the efficiency of assessing ground reflectance. It effectively protects the precious Gobi surface of CRCS Dunhuang, resulting in significant savings of resources. Comparisons of surface reflectance data obtained through aerial and vehicle-based measurements indicate that the mean values of multiple surface reflectance measurements are relatively close, However, the standard deviation of the aerial measurements is smaller. Evaluating the radiometric calibration of reflectance data obtained by drones using synchronous measurements from the Terra MODIS sensor indicates that the relative deviation of the drone data is within 5%. Drone-based measurements can replace vehicle-based field measurements for calibration purposes, and the accuracy meets requirements. With further optimization and improvement in drone performance, drones are anticipated to have more extensive and intensive applications in satellite-ground synchronous calibration testing, playing a more significant and important role in the future.
张 勇，徐寒列，张立军，李 元，孙 凌，覃丹宇，戎志国，胡秀清，陆其峰，卢乃锰. 敦煌戈壁地表反射率光谱的旋翼无人机测量及定标评估[J]. 光谱学与光谱分析, 2024, 44(05): 1439-1448.
ZHANG Yong, XU Han-lie, ZHANG Li-jun, LI Yuan, SUN Ling, QIN Dan-yu, RONG Zhi-guo, HU Xiu-qing, LU Qi-feng, LU Nai-meng. Measurements of CRCS Dunhuang Gobi Surface Reflectance Spectrum
Using Multi-Rotor UAV and Its Calibration Evaluations. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(05): 1439-1448.
[1] ZHANG Yong, QI Guang-li, RONG Zhi-guo(张 勇，祁广利，戎志国). Radiometric Calibration Models and Methodolgies of Satellite Infrared Remote Sensing(卫星红外遥感器辐射定标模型与方法). Beijing: Science Press（北京：科学出版社）, 2015. 18.
[2] Slater P N, Biggar S F, Holm R G, et al. Remote Sensing of Environment，1987，22（1）：11.
[3] Thome K J. Remote Sensing of Environment，2001，78(1-2)：27.
[4] Thome K J，Biggar S F，Choi H J. Proc. SPIE，2004，5542：https://doi.org/10.1117/12.559942.
[5] Marris, E. Nature. 2013, 498: 156.
[6] LIAO Xiao-han, ZHOU Cheng-hu(廖小罕，周成虎). Report on the Development of Remote Sensing for Light and Small Unmanned Aerial Vehicles(轻小型无人机遥感发展报告). Beijing: Science Press（北京: 科学出版社），2016. 277.
[7] LI De-ren, LI Ming(李德仁, 李 明). Geomatics and Information Science of Wuhan University（武汉大学学报信息科学版）, 2014，(5): 505.
[8] ZHAO Chun-yan, ZHANG Yan-na, WEI Wei, et al(赵春艳, 张艳娜, 韦 玮, 等). Acta Photonica Sinica（光子学报）, 2019, 48(5): 0528001.
[9] Wierzbicki D, Kedzierski M, Fryskowska A, et al. Remote Sensing, 2018，10(9): 1348.
[10] Pan Z Q, Zhang H P, Min X J, et al. Journal of Applied Remote Sensing, 2020. 14(2): 027501.
[11] TAO Bing-cheng，HU Xiu-qing，YANG Lei-ku，et al(陶炳成，胡秀清，杨磊库，等). National Remote Sensing Bulletin（遥感学报），2021，25（9）：1964.
[12] ZHANG Jun-ping, YI Wei-ning, WANG Xian-hua, et al(章俊平, 易维宁, 王先华，等). Measurment and Analysis of Reflectance in Central Area of Dunhuang Radiometric Calibration Site, in Compilation of Papers on Scientific Achievements of China Radiometric Calibration Sites(敦煌辐射校正场中心区反射率特性的测量及分析，中国遥感卫星辐射校正场科研成果论文选编). Beijing: China Ocean Press（北京：海洋出版社）, 2001. 122.
[13] HUANG Jing-bai, LIU Jing-jing(黄净白，刘京晶). Location and Geographic Features of Dunhuang Remote Sensing Satellite Radiometric Calibration Site and It's Influences on the Optical Stability and Uniformity of Site Surface, in Compilation of Papers on Scientific Achievements of China Radiometric Calibration Sites(敦煌遥感卫星辐射校正场地址、地理特征及对场区光学均匀性、稳定性影响的分析研究报告，中国遥感卫星辐射校正场科研成果论文选编). Beijing: China Ocean Press（北京：海洋出版社）, 2001. 125.
