A115
Remote Sensing of Land, Ocean and Atmosphere from the New Generation of Geostationary Satellites

Session ID#: 75903

Session Description:
Geostationary satellites, whose role has been limited to weather forecasting in the past, are poised to make significant contributions to land, ocean and atmosphere monitoring. The latest generation of geostationary satellites (Himawari, GOES-16/17, Fengyun-4, GeoKompsat) carry sensors that closely mimic the spatial and spectral characteristics of current workhorses such as MODIS and VIIRS. More importantly, they provide observations at 5-15 minute intervals. Such high frequency observations, particularly when combined with data from polar orbiters, offer exciting possibilities for producing robust biogeophysical variables by overcoming cloud cover, enable studies of diurnally varying biosphere-atmosphere interactions, and help in operational decision-making in agriculture, hydrology and disaster management. This session will highlight new data sets, algorithms and computational platforms that utilize data from the new generation of geostationary satellites. 
Index Terms:

0480 Remote sensing [BIOGEOSCIENCES]
1855 Remote sensing [HYDROLOGY]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
4275 Remote sensing and electromagnetic processes [OCEANOGRAPHY: GENERAL]

Primary Convener:  Weile Wang, CSUMB & NASA/AMES, Seaside, CA, United States
Conveners:  Ramakrishna R Nemani, NASA Ames Research Center, Moffett Field, CA, United States, Satya Kalluri, NOAA College Park, College Park, MD, United States and Tsengdar J Lee, NASA, Burke, VA, United States
Primary Liaison:  Weile Wang, CSUMB & NASA/AMES, Seaside, CA, United States
 
Surface Reflectance Product from Geostationary Satellite (488058)
Shuang Li1, Weile Wang2, Hirofumi Hashimoto3, Thomas Vandal4, Jing Yao5 and Ramakrishna R Nemani3, (1)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (2)CSUMB & NASA/AMES, Seaside, CA, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States, (4)Bay Area Environmental Research Institute, Moffett Field, CA, United States, (5)Guizhou Education University, Guiyang, China
 
High-resolution Aerosol Retrievals from Geostationary Observations with Algorithm MAIAC (Invited) (493302)
Alexei Lyapustin, NASA Goddard Space Flight Cen., Greenbelt, MD, United States, Yujie Wang, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Sergey Korkin, Universities Space Research Association Greenbelt, Greenbelt, MD, United States, Ramakrishna R Nemani, NASA Ames Research Center, Moffett Field, CA, United States and Weile Wang, CSUMB & NASA/AMES, Seaside, CA, United States
 
Multi-scale Comparison of Wintertime Mountain Surface Temperatures from GOES ABI, MODIS, ASTER, and Airborne Thermal Infrared Observations (499631)
Steven Pestana and Jessica D Lundquist, University of Washington, Civil and Environmental Engineering, Seattle, WA, United States
 
An Evapotranspiration Data Product at 2km resolution from NOAA GOES-16 (500077)
Li Fang, Alexandria, VA, United States, Mitchell Schull, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States, Xiwu Zhan, NOAA/NESDIS/STAR, College Park, MD, United States, Satya Kalluri, NOAA College Park, College Park, MD, United States, Christopher Hain, National Integrated Drought Information System, Boulder, CO, United States and Martha Anderson, USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
 
Comparison of fractional vegetation cover (FVC) derived using Himawari 8 AHI and Aqua MODIS for land surfaces in Japan (500576)
Kenta Obata and Hiroki Yoshioka, Aichi Prefectural University, Aichi, Japan
 
GOES-17 ABI L2 Algorithm Status (502518)
Thomas Feroli, GOES-R Program, Edgewater, MD, United States, Jaime Daniels, NOAA, NESDIS/STAR, College Park, MD, United States, Matthew G Seybold, NOAA National Environmental Satellite, Data, and Information Service, OSPO, Greenbelt, MD, United States and Stephen Superczynski, IMSG, College Park, MD, United States
 
GOES-16 Urban Land Surface Temperature Calibration Using a Handheld Infrared Sensor Framework (503108)
Joshua Hrisko1, Prathap Ramamurthy1,2 and Rafael Barinas3, (1)CUNY-NOAA CREST, New York, NY, United States, (2)CUNY City College of New York, New York, NY, United States, (3)CUNY City College of New York, New York, United States
 
Retrieving Aerosol Optical Properties using Multitemporal and Multispectral Observations of the New Generation Geostationary Satellites (506984)
Jaehwa Lee, Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States, Nai-Yung Christina Hsu, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Woogyung Vincent Kim, University of Maryland College Park, College Park, MD, United States, William Heinson, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States and Andrew M Sayer, Universities Space Research Association Columbia, Columbia, MD, United States
 
GeoNEX: A Cloud Gateway for Near Real-time Processing of Geostationary Satellite Products (510676)
Jun Xiong1, Yunfeng Jiang2, Andrew Michaelis3, Sami Andrew Malek4, Weile Wang5, Satya Kalluri6, Jia Zhang7, Jennifer L Dungan3 and Ramakrishna R Nemani3, (1)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (2)Bay Area Environmental Research Institute (BAERI), Mountain View, CA, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States, (4)University of California Berkeley, Berkeley, CA, United States, (5)CSUMB & NASA/AMES, Seaside, CA, United States, (6)NOAA College Park, College Park, MD, United States, (7)Carnegie Mellon University Silicon Valley, Moffett Field, CA, United States
 
Deep neural network Cloud-Type Classification (DeepCTC) for new generation of multispectral satellite imagery (512339)
Vesta Afzali Gorooh, University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States, Phu Nguyen, UC Irvine, Irvine, CA, United States, Kuo-lin Hsu, University of California Irvine, Irvine, CA, United States, Soroosh Sorooshian, Univ California Irvine, Irvine, CA, United States and Ramakrishna R Nemani, NASA Ames Research Center, Moffett Field, CA, United States
 
The downscaling of a new microwave vegetation index in southern China (513524)
Yumei He and Rui Li, University of Science and Technology of China, Hefei, China
 
Generating Accurate and Consistent Top-of-Atmosphere Reflectance Products from the New Generation Geostationary Satellite Sensors (513794)
Weile Wang1, Shuang Li2, Hirofumi Hashimoto2, Hideaki Takenaka3, Jennifer L Dungan2, Satya Kalluri4 and Ramakrishna R Nemani2, (1)CSUMB & NASA/AMES, Seaside, CA, United States, (2)NASA Ames Research Center, Moffett Field, CA, United States, (3)JAXA Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center (EORC), Tsukuba, Japan, (4)NOAA College Park, College Park, MD, United States
 
Detection of Land Surface Phenology from New Generation Geostationary Satellites and Its Compassion with Observations from Polar-Orbiting Satellites (522877)
Xiaoyang Zhang, Geographic Information Science Center of Excellence, Brookings, SD, United States, Yongchang Ye, South Dakota State University, Brookings, United States, Weile Wang, CSUMB & NASA/AMES, Seaside, CA, United States, Yujie Wang, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Yongchang Ye; Weile Wang; Yujie Wang
 
Generating LAI and FPAR Products from GOES-16 Advanced Baseline Imager (ABI) Data (523256)
Yepei Chen1,2, Kaimin Sun1, Chi Chen2, Taejin Park3, Weile Wang4, Ramakrishna R Nemani4 and Ranga Myneni2, (1)Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China, (2)Boston University, Earth and Environment, Boston, MA, United States, (3)Boston University, Earth and Environment, Boston, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States
 
GOES ABI high frequency data for understanding Amazon vegetation dynamics (524027)
Hirofumi Hashimoto1, Weile Wang2, Jennifer L Dungan3, Shuang Li3, Jun Xiong4, Alberto Guzman1, Hideaki Takenaka5, Atsushi Higuchi6, Ranga B Myneni7 and Ramakrishna R Nemani3, (1)California State University Monterey Bay, Seaside, CA, United States, (2)CSUMB & NASA/AMES, Seaside, CA, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States, (4)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (5)JAXA Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center (EORC), Tsukuba, Japan, (6)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, (7)Boston University, Earth and Environment, Boston, MA, United States
 
GOES-16 and 17: High Definition from Sea to Shining Sea (Invited) (524888)
Pamela Clare Sullivan, NOAA, Greenbelt, MD, United States
 
The Dark Target aerosol algorithm applied to Himawari-8 Advanced Himawari Imager (AHI) looking at the KORUS-AQ and CAMP2EX field campaigns (525062)
Shana Mattoo, Science Systems and Applications, Inc., Lanham, MD, United States, Pawan Gupta, Universities Space Research Association Greenbelt, Greenbelt, MD, United States, Robert C Levy, NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States, Lorraine A Remer, NASA GSFC, Greenbelt, MD, United States, Robert Holz, UW SSEC, Madison, WI, United States and Andrew Heidinger, Center for Satellite Applications and Research (STAR), NESDIS, Madison, WI, United States
 
The Dark Target aerosol retrieval algorithm applied to Geostationary imagers: preparing for an integrated LEO-GEO view of global aerosol (525484)
Robert C Levy1, Shana Mattoo1, Pawan Gupta2 and Robert Holz3, (1)NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States, (2)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (3)UW SSEC, Madison, WI, United States
 
The Status of development activities for Geostationary Environment Monitoring Spectrometer(GEMS) (530019)
Won Jun Choi1, Jongmin Yoon2, Kyung-Jung Moon1, Hyunkee Hong1, Sangmin Kim1, Seung-Hoon Lee3, Dai Ho Ko3, Jhoon Kim4, Dongwon Lee2 and GEMS Project Office, (1)National Institute of Environmental Research, Incheon, South Korea, (2)National Institute of Environmental Research, Environmental Satellite Center, Incheon, South Korea, (3)Korea Aerospace Research Institute, Daejeon, Korea, Republic of (South), (4)Yonsei University, Seoul, South Korea
 
The application of cloud mask from GK-2A for improvement of cloud-free image acquisition of high-resolution image of KOMPSAT (530136)
Bo-Ram Kim1, Jong-min Yeom2 and HeeSeob Kim1, (1)KARI Korea Aerospace Research Institute, Daejeon, South Korea, (2)Korea Aerospace Research Institute, Daejeon, South Korea
 
Reduction of outliers and missing values caused by cloud contamination in retrieving land surface temperature from Himawari-8 data (530768)
Yuhei Yamamoto and Kazuhito Ichii, Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
 
Long-term dataset of geostationary meteorological satellites can contribute climate change studies: Archiving status in CEReS, Chiba University, Japan, and its utilizations (533588)
Atsushi Higuchi1, Koichi Toyoshima1, Hideaki Takenaka2, Hitoshi Hirose1, Kazuhito Ichii3, Ken Takeshi Murata4, Takashi Y. Nakajima5, Teruyuki Nakajima6, Hirofumi Hashimoto7, Ramakrishna R Nemani7, Kazuya Muranaga4, Toshiaki Takano8, Fumiaki Kobayashi9, Yuhei Yamamoto1, Praphan Pavarangkoon4, Kazunori Yamamoto4, Kazuomi Morotomi10, Shigeharu Shimamura11 and Tomohiro Kawanabe12, (1)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, (2)JAXA Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center (EORC), Tsukuba, Japan, (3)Chiba University, Chiba, Japan, (4)NICT National Institute of Information and Communications Technology, Tokyo, Japan, (5)Tokai University, Tokyo, Japan, (6)JAXA Japan Aerospace Exploration Agency, Earth Observation Research Center, Sagamihara, Japan, (7)NASA Ames Research Center, Moffett Field, CA, United States, (8)Chiba University, Department of Electrical and Electronics Engineering, Chiba, Japan, (9)Natl Defense Academy, Yokosuka, Japan, (10)Japan Radio Company, Ltd., Fujimino, Japan, (11)Japan Radio Company, Ltd., Nagano, Japan, (12)RIKEN Advanced Institute for Computational Sciences, Kobe, Japan
 
A Multi-Angle Geostationary Aerosol Retrieval Algorithm (542333)
James Limbacher, Science Systems and Applications, Inc., Lanham, MD, United States and Ralph A Kahn, NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States
 
Deep Learning Emulation of Atmospheric Correction for Geostationary Sensors (543801)
Kate Duffy1, Thomas Vandal2, Shuang Li2, Ramakrishna R Nemani3 and Auroop R Ganguly1, (1)Northeastern University, Civil and Environmental Engineering, Boston, MA, United States, (2)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States
 
Machine-Learning Image Classification and Hazard Identification of Dust and Fog in Next-Generation Geostationary Satellite Imagery (553929)
Emily Berndt1, Christopher Jewett2, Andrew Molthan3, Christopher Hain4, Kevin Kenneth Fuell5 and Erika Duran2, (1)NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, AL, United States, (2)University of Alabama in Huntsville / NASA SPoRT, Huntsville, United States, (3)NASA Marshall Space Flight Center, Huntsville, AL, United States, (4)National Integrated Drought Information System, Boulder, CO, United States, (5)NASA, SPoRT, Huntsville, AL, United States
 
Utilizing Geostationary Satellites to Detect Storm-Scale Rotation (554677)
Daniel Lindsey, NOAA/NESDIS/GOES-R, Fort Collins, CO, United States
 
Estimation and Evaluation of Surface Reflectance from Himawari-8 AHI Toward High Temporal Monitoring of Terrestrial Vegetation (562935)
Kazuhito Ichii1, Kodai Hayashi1, Hiroki Yoshioka2, Hideki Kobayashi3, Masayuki Matsuoka4, Tomoaki Miura5, Shin Nagai6 and Yuhei Yamamoto7, (1)Chiba University, Chiba, Japan, (2)Aichi Prefectural University, Aichi, Japan, (3)Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan, (4)Kochi University, Kochi, Japan, (5)Univ Hawaii, Honolulu, HI, United States, (6)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Department of Environmental Geochemical Cycle Research, Kanagawa, Japan, (7)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
 
Land Cover Influence on Detection of Hail Swaths Using GOES Advanced Baseline Imager (563875)
Samantha Koehler, Salisbury University, Salisbury, MD, United States, Philip Schumacher, National Weather Service, WFO Sioux Falls, Sioux Falls, SD, United States and Kevin P Gallo, USGS EROS Data Center, Sioux Falls, SD, United States
 
Spectral Band Adjustment Factors for use with the latest generation of geostationary satellite sensors to generate consistent cloud, aerosol and land surface property retrievals (569020)
Arun Gopalan1, David R Doelling2, Benjamin R Scarino3, Conor Haney3 and Rajendra Bhatt4, (1)Science Systems and Applications, Inc., Lanham, MD, United States, (2)NASA Langley Research Center, E302, Hampton, VA, United States, (3)Science Systems and Applications, Inc., Hampton, VA, United States, (4)NASA Langley Research Center, Hampton, VA, United States
 
Land surface temperature retrieval algorithm of GEO-KOMPSAT-2A (GK-2A) Advanced Meteorological Imager (AMI) (570269)
Youn-Young Choi, Kongju National University, Gongju, Korea, Republic of (South) and Myoung-Seok Suh, Kongju National University, Department of Atmospheric Science, Gongju, Korea, Republic of (South)
 
An overview of operational rainfall algorithm for AMI onboard GEO-KOMPSAT-2A satellite (571160)
Dong-Cheol Kim1, Dong-Bin Shin1 and Damwon So, (1)Yonsei University, Seoul, Korea, Republic of (South)
 
Observing and attributing the differences of Himawari-8 NDVI hyper-temporal signatures across deciduous broadleaf forests in Japan (571972)
Tomoaki Miura, Univ Hawaii, Honolulu, HI, United States, Shin Nagai, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Department of Environmental Geochemical Cycle Research, Kanagawa, Japan, Weilie Wang, CSUMB & NASA/AMES, Seaside, United States and Ramakrishna R Nemani, NASA Ames Research Center, Moffett Field, CA, United States
 
Development of NASA VIIRS-Like Cloud Property Algorithms for Next Generation Geostationary Imagers and Examples from CAMP2Ex (583507)
Robert Holz1, Kerry Meyer2, Steven E Platnick2, Ralph Kuehn3, Coda Philips4, Steven A Ackerman5, Nandana Amarasinghe6, Galina Wind6, Richard Frey7, Steve Dutcher8, Ryan A Boller9 and Robert C Levy10, (1)UW SSEC, Madison, WI, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of Wisconsin Madison, Madison, WI, United States, (4)CIMSS, Madison, WI, United States, (5)University of Wisconsin Madison, Department of Atmospheric and Oceanic Sciences, Madison, WI, United States, (6)Science Systems and Applications, Inc., Lanham, MD, United States, (7)CIMSS/UW-Madison, Evansville, WI, United States, (8)Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, United States, (9)NASA/GSFC, Greenbelt, MD, United States, (10)NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States
 
Estimation of Solar radiation and Photovoltaic power using Geostationary satellites. (588005)
Hideaki Takenaka1, Teruyuki Nakajima2, Akiko Higurashi3, Makiko Hashimoto4, Miho Sekiguchi5, Takashi M. Nagao6, Atsushi Higuchi7, Ken Takeshi Murata8, Kazuya Muranaga8, Kazuhito Ichii9, Yuhei Yamamoto7, Hirofumi Hashimoto10, Weilie Wang11 and Ramakrishna R Nemani10, (1)JAXA Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center (EORC), Tsukuba, Japan, (2)Japan Aerospace Exploration Agency, Earth Observation Research Center, Tsukuba, Japan, (3)National Institute for Environmental Studies, Tsukuba, Japan, (4)Japan Aerospace Exploration Agency, Tsukuba, Japan, (5)Tokyo University of Marine Science and Technology, Tokyo, Japan, (6)Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan, (7)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, (8)NICT National Institute of Information and Communications Technology, Tokyo, Japan, (9)Chiba University, Chiba, Japan, (10)NASA Ames Research Center, Moffett Field, CA, United States, (11)CSUMB & NASA/AMES, Seaside, United States
 
Identification of Blowing Snow Events over the Northern Great Plains with GOES-16 (590490)
Aaron D Kennedy, University of North Dakota, Grand Forks, ND, United States and Carl Jones, National Weather Service - Grand Forks, ND, Grand Forks, ND, United States
 
SCOPE: Spectral Cloud Optical Property Estimation from GOES-R Longwave Imagery (600467)
David Philip Larson, Electric Power Research Institute, Palo Alto, CA, United States, Mengying Li, UC San Diego, La Jolla, United States and Carlos F Coimbra, University of California San Diego, La Jolla, CA, United States
 
Transfer Learning to Generate True Color Images from GOES-16 (608499)
Thomas Vandal1, Ramakrishna R Nemani2, Weile Wang3 and Shuang Li2, (1)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (2)NASA Ames Research Center, Moffett Field, CA, United States, (3)CSUMB & NASA/AMES, Seaside, CA, United States
 
Lightning Characteristics Associated with Atmospheric Rivers Affecting the Continental US Using the GOES-16/17 Geostationary Lightning Mappers (613540)
Bin Guan, University of California Los Angeles, Los Angeles, CA, United States, Duane Edward Waliser, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and F Martin Ralph, Scripps Institution of Oceanography, UC San Diego, Center for Western Weather and Water Extremes, La Jolla, CA, United States
 
Fusing NASA ECOSTRESS and NOAA GOES-16 datasets for study of thermal regimes and water stress in terrestrial systems. (619002)
Kyle C McDonald1,2, Erika Podest2, Aaron Walter Darwin Davitt3, Derek Tesser3, Harold Gamarro4, Kerry-Anne Cawse-Nicholson2, Glynn C Hulley2 and Jorge Gonzalez5, (1)CUNY City College of New York, Earth and Atmospheric Sciences, New York, NY, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)The Graduate Center, City University of New York, Earth and Environmental Sciences, New York, NY, United States, (4)CUNY City College of New York, New York, United States, (5)CUNY City College of New York, Mechanical Engineering, New York, NY, United States
 
Evaluation of two Himawari-8 optical aerosol depth retrievals (631951)
Lu She, Ningxia University, College of Resources and Environmental Science, Yinchuan, China and Hankui Zhang, Department of Geography, South Dakota State University, Brookings, SD, United States
 
Updates to the GOES ABI Level 2 Product Portfolio (632157)
Stephen Superczynski, GOES-R Program, Greenbelt, MD, United States, Paul Van Rompay, GOES-R Program, Greenbelt, United States and Thomas Feroli, GOES-R Program, Edgewater, MD, United States
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