GC070
Remote sensing of land surface variables for climate change and Earth system modeling
Session ID#: 77148
Session Description:
Through the development of more than half a century, remote sensing has become an irreplaceable data source for monitoring land surface dynamics. Many biophysical, biochemical, geophysical and other variables of land surface have been retrieved from ground-based, airborne and spaceborne remote sensing data. Such remotely sensed data and products of land surface variables provide unique observational evidence for investigating climate change and supply key data inputs for Earth System models. This session solicits contributions on the broad aspects of quantitative remote sensing of land surface variables, including, but not limited to algorithm development, product validation, data analysis and applications.
Index Terms:
0315 Biosphere/atmosphere interactions [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0480 Remote sensing [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
1843 Land/atmosphere interactions [HYDROLOGY]
Primary Convener: Dongdong Wang, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Convener: Shunlin Liang, Univ Maryland, College Park, MD, United States
Primary Liaison: Dongdong Wang, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Re-evaluating the Greening of South China Karst During the Past Three Decades Using Landsat Images and Google Earth Engine (493568)
Jie Pei1,2, Li Wang1, Lei Wang1, Ni Huang1, Shiguang Xu1, Jianhua Cao3,4 and Zheng Niu1,2, (1)The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, (2)University of Chinese Academy of Sciences, Beijing, China, (3)Key Laboratory of Karst Dynamics, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, China, (4)The International Research Center on Karst, UNESCO, Guilin, China
Global 1km products of surface downward shortwave radiation and photosynthetically active radiation from MODIS (517316)
Dongdong Wang, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, Shunlin Liang, Univ Maryland, College Park, MD, United States and Meredith G. L. Brown, University of Maryland College Park, College Park, MD, United States
Extracting Surface Absorbed Solar Radiation in Near Real-time from GOES-R (603154)
Anand Inamdar, North Carolina State University, Raleigh, NC, United States; Cooperative Institute for Climate and Satellite North Carolina, (CICS-NC), Asheville, NC, United States and Ronald Leeper, CICS-NC/NCSU, Asheville, NC, United States
Global Leaf Chlorophyll Content Mapping from Multi-spectral Remote Sensing Data (612833)
Mingzhu Xu1, Ronggao Liu2, Yang Liu2, Jing Ming Chen1,3, Aleksandra Wolanin4 and Weimin Ju1, (1)Nanjing University, Nanjing, China, (2)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (3)University of Toronto, Department of Geography and Planning, Toronto, ON, Canada, (4)Deutsches GeoForschungsZentrum GFZ, Potsdam, Germany
Assimilation of GRACE Data into the CARbon DAta-MOdel fraMework (CARDAMOM) (616471)
Victoria Meyer1, A. Anthony Bloom2, John T Reager II1, Nicholas Parazoo3, Marcos Longo1, Yan Yang4, Mingjie Shi5, Hrishikesh Arvind Chandanpurkar1 and John R Worden6, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)University of California Los Angeles, JIFRESSE, Los Angeles, CA, United States, (4)University of California Los Angeles, IOES, Los Angeles, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (6)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Evaluating multisensor data for production of burned area maps in peat swamps of Central Kalimantan, Indonesia (625993)
Yenni Vetrita, South Dakota State University, Geospatial Sciences Center of Excellence, Brookings, SD, United States and Mark A. Cochrane, University of Maryland Center for Environmental Science Appalachian Laboratory, Frostburg, MD, United States
Low Cost Radiometer for Landsat Land Surface Temperature Product Validation (626679)
Jon Miller1, Jarrett Wehle2, Aaron David Gerace1, Matthew Montanaro1 and Robert Kremens3, (1)Rochester Institute of Technology, Rochester, NY, United States, (2)Rochester Institute of Technology, Rochester, United States, (3)Rochester Institute of Techno, Carlson Center for Imaging Science, Rochester, NY, United States
Assessment of the elevation correction of MODIS-based air temperature with different ambient lapse rates over the contiguous United States (630482)
Jihye Lee, Kangwon National University, Chuncheon, Korea, Republic of (South), Sinkyu Kang, Kangwon National University, Chuncheon, South Korea, Kyungdo Lee, National Institute of Agricultural Science, Rural Development Administration, Wanju-gun, JeollaBuk-do, South Korea and Joon Kim, Seoul National University, Department of Landscape Architecture & Rural Systems Engineering, Future Earth Program in Asia Center, Interdisciplinary Program in Agricultural and Forest Meteorology, Institute of Green Bio Science and Technology, Seoul, South Korea
Identification of dust storm sources and their expanding mechanism over Eastern Mongolia by the synthesized framework of remote sensing and ground survey (631071)
Jungrack Kim, University of Seoul, Seoul, South Korea, Gomboluudev Purevjav, Institute of Meteorology, Hydrology and Environment, Ulaanbaatar,, Mongolia, YunSoo Choi, University of Seoul, Seoul, Korea, Republic of (South), Amgalan Bayasgalan, Institute of Astronomy and Geophysics, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia, Su Young Woo, University of Seoul, Department of Environmental Horticulture, Seoul, South Korea and Amanjol Bulkhbai, Institute of Meteorology, Hydrology and Environment, Ulaanbaatar, South Korea
