caa a22 4500 445300477 CHVBK 20180317142556.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11430-010-4142-5 doi (NATIONALLICENCE)springer-10.1007/s11430-010-4142-5 Photosynthetically active radiation retrieval based on HJ-1A/B satellite data [Elektronische Daten] [Li Li, XiaoZhou Xin, GaoLi Su, QinHuo Liu] Photosynthetically active radiation (PAR) is essential for plant photosynthesis and carbon cycle, and is also important for meteorological and environmental monitoring. To advance China's disaster and environmental monitoring capabilities, the HJ-1A/B satellites have been placed in Earth orbit. One of their environmental monitoring objectives is the study of PAR. We simulated direct solar, scattered and environment radiation between 400 and 700 nm under different atmospheric parameters (solar zenith angle, atmospheric water vapor, atmospheric ozone, aerosol optical thickness, surface elevation and surface albedo), and then established a look-up table between these input parameters and PAR. Based on the look-up table, we used HJ-1A/B aerosol and surface albedo outputs to derive the corresponding PAR. Validation of inversed instantaneous and observed PAR values using HJ-1 Heihe experimental data had a root mean square error of 25.2 W m−2, with a relative error of 5.9%. The root mean square error for accumulated daily PAR and observed values was 0.49 MJ m−2, with a relative error of 3.5%. Our approach improved significantly the computational efficiency, compared with using directly radiation transfer equations. We also studied the sensitivity of various input parameters to photosynthetically active radiation, and found that solar zenith angle and atmospheric aerosols were sensitive PAR parameters. Surface albedo had some effect on PAR, but water vapor and ozone had minimal impact on PAR. Science China Press and Springer-Verlag Berlin Heidelberg, 2010 Photosynthetically active radiation nationallicence 6S nationallicence HJ-1A/B satellites nationallicence Li Li State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut Xin XiaoZhou State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut Su GaoLi State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut Liu QinHuo State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut Science China Earth Sciences SP Science China Press 53(2010-12-01), 81-91 1674-7313 53<81 2010 53 11430 https://doi.org/10.1007/s11430-010-4142-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-010-4142-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Li State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Xin XiaoZhou State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Su GaoLi State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Liu QinHuo State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science China Press 53(2010-12-01), 81-91 1674-7313 53<81 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer