气候变化领域集成服务门户(CCPortal): Retrieving high-resolution surface photosynthetically active radiation from the MODIS and GOES-16 ABI data

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DOI	10.1016/j.rse.2021.112436
	Retrieving high-resolution surface photosynthetically active radiation from the MODIS and GOES-16 ABI data
	Zhang H.; Dong X.; Xi B.; Xin X.; Liu Q.; He H.; Xie X.; Li L.; Yu S.
发表日期	2021
ISSN	00344257
卷号	260
英文摘要	Incident photosynthetically active radiation (PAR) is a key parameter in plant physiological, biological and physical process-based terrestrial ecosystem models. Deriving highly accurate and spatially continuous PAR from remote sensing data can fill in the gaps of insufficient ground-based measurements. In this study, we provide an efficient approach for estimating PAR by employing look-up table (LUT) method using observations from both MODIS and GOES-16. The GOES-16 is the first satellite of the new-generation US Geostationary Operational Environmental Satellite R-series (GOES-R), which can capture dynamic changes in the atmosphere every 5 min. First, the diurnal variation of surface bidirectional reflectance is characterized assuming that the surface characteristics and solar zenith angles in tropical and middle latitudes at a given time of day do not change dramatically within a month. Next, the aerosol optical depth (AOD) and cloud optical depth (COD) are retrieved from the GOES-16 visible observations under both clear-sky and cloudy conditions. Finally, PAR is estimated via the retrieved AOD and COD using the LUT method and a MODIS-based surface albedo product. The estimated PAR was compared against ground-based measurements collected from seven SURFace RADiation budget network (SURFRAD) sites and 23 National Ecological Observatory Network (NEON) sites at instantaneous, hourly and daily scales. The instantaneous PAR validation results achieved R2 values of 0.97 and 0.82, and root mean square errors (RMSEs) of 18.1 and 51.1 W m‐2, for clear and cloudy skies, respectively. The RMSEs of the hourly averaged PAR were reduced to 16.8 W m−2 and 40.4 W m−2, respectively, for clear-sky and cloudy conditions. The daily mean PAR evaluation for all sky conditions shows an overall mean bias error (MBE) of 0.97 W m−2 and an RMSE of 10.5 W m−2. Compared with other global PAR datasets, the estimated PAR values in this study have lower RMSEs and higher spatial-temporal resolution. Uncertainties in the retrieved PAR caused by topography and solar-cloud-geometry effects (SCGE) can be reduced by spatial and temporal averaging. Based on an evaluation of retrievals at different spatial-temporal scales, we recommend that a 20 × 20 km2 domain-averaged PAR be utilized for instantaneous PAR validation, whereas hourly and daily averaged PAR values are nearly independent of spatial scale. © 2021 Elsevier Inc.
英文关键词	GOES-16; LUT; Photosynthetically active radiation; Spatial-temporal scales
语种	英语
scopus关键词	Budget control; Ecology; Errors; Geostationary satellites; Mean square error; Optical properties; Physiological models; Radiometers; Remote sensing; Solar radiation; Topography; Uncertainty analysis; Aerosol optical depths; Clear sky; GOES-16; Ground based measurement; Look up table methods; Look-up-table; Photosynthetically active radiation; Root mean square errors; Sky condition; Spatial-temporal scale; Table lookup; bidirectional reflectance; ecosystem modeling; GOES; ground-based measurement; MODIS; satellite data; spectral resolution; terrestrial ecosystem
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178845
作者单位	State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Datun Road No.20 (North), Beijing, 100101, China; Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, United States; School of geographic sciences, East China Normal University, Shanghai, 200262, China; School of Environment and Planning, Liaocheng University, Liaocheng, Shandong 252059, China
推荐引用方式 GB/T 7714	Zhang H.,Dong X.,Xi B.,et al. Retrieving high-resolution surface photosynthetically active radiation from the MODIS and GOES-16 ABI data[J],2021,260.
APA	Zhang H..,Dong X..,Xi B..,Xin X..,Liu Q..,...&Yu S..(2021).Retrieving high-resolution surface photosynthetically active radiation from the MODIS and GOES-16 ABI data.Remote Sensing of Environment,260.
MLA	Zhang H.,et al."Retrieving high-resolution surface photosynthetically active radiation from the MODIS and GOES-16 ABI data".Remote Sensing of Environment 260(2021).