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Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm for Himawari-8 Data
Open AccessLetter

First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI

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School of Geography and Resources, Guizhou Education University, Guiyang 550018, China
2
Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, Guizhou Education University, Guiyang 550018, China
3
NASA Ames Research Center—California State University Monterey Bay (CSUMB), Moffett Field, CA 94035, USA
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NASA Ames Research Center—Bay Area Environmental Research Institute (BAERI), Moffett Field, CA 94035, USA
5
School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China
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Center for Environmental Remote Sensing, Chiba University, Chiba 263-8522, Japan
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NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Joint Center for Earth systems Technology (JCET), University of Maryland-Baltimore County (UMBC), Baltimore, MD 21228, USA
9
Goddard Space Flight Center—NASA Ames Research Center, Moffett Field, CA 94035, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(24), 2990; https://doi.org/10.3390/rs11242990
Received: 11 October 2019 / Revised: 5 November 2019 / Accepted: 2 December 2019 / Published: 12 December 2019
(This article belongs to the Special Issue Earth Monitoring from A New Generation of Geostationary Satellites)
A provisional surface reflectance (SR) product from the Advanced Himawari Imager (AHI) on-board the new generation geostationary satellite (Himawari-8) covering the period between July 2015 and December 2018 is made available to the scientific community. The Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm is used in conjunction with time series Himawari-8 AHI observations to generate 1-km gridded and tiled land SR every 10 minutes during day time. This Himawari-8 AHI SR product includes retrieved atmospheric properties (e.g., aerosol optical depth at 0.47µm and 0.51µm), spectral surface reflectance (AHI bands 1–6), parameters of the RTLS BRDF model, and quality assurance flags. Product evaluation shows that Himawari-8 AHI data on average yielded 35% more cloud-free, valid pixels in a single day when compared to available data from the low earth orbit (LEO) satellites Terra/Aqua with MODIS sensor. Comparisons of Himawari-8 AHI SR against corresponding MODIS SR products (MCD19A1) over a variety of land cover types with the similar viewing geometry show high consistency between them, with correlation coefficients (r) being 0.94 and 0.99 for red and NIR bands, respectively. The high-frequency geostationary data are expected to facilitate studies of ecosystems on daily to diurnal time scales, complementing observations from networks such as the FLUXNET. View Full-Text
Keywords: Himawari-8 AHI; geostationary satellite; MAIAC; surface reflectance Himawari-8 AHI; geostationary satellite; MAIAC; surface reflectance
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MDPI and ACS Style

Li, S.; Wang, W.; Hashimoto, H.; Xiong, J.; Vandal, T.; Yao, J.; Qian, L.; Ichii, K.; Lyapustin, A.; Wang, Y.; Nemani, R. First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI. Remote Sens. 2019, 11, 2990.

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