GC51D-0457:
A Unified and Coherent Land Surface Emissivity Earth System Data Record

Friday, 19 December 2014
Robert O Knuteson1, Eva Erzsebet Borbas1, Glynn C Hulley2, Simon J Hook3, Martha C. Anderson4, Rachel T Pinker5, Christopher Hain6 and Pierre C Guillevic7, (1)University of Wisconsin Madison, Madison, WI, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)USDA ARS, Pendleton, OR, United States, (5)Univ Maryland, College Park, MD, United States, (6)Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States, (7)Jet Propulsion Laboratory, Pasadena, CA, United States
Abstract:
Land Surface Temperature and Emissivity (LST&E) data are essential for a wide variety of studies from calculating the evapo-transpiration of plant canopies to retrieving atmospheric water vapor. LST&E products are generated from data acquired by sensors in low Earth orbit (LEO) and by sensors in geostationary Earth orbit (GEO). Although these products represent the same measure, they are produced at different spatial, spectral and temporal resolutions using different algorithms. The different approaches used to retrieve the temperatures and emissivities result in discrepancies and inconsistencies between the different products.

NASA has identified a major need to develop long-term, consistent, and calibrated data and products that are valid across multiple missions and satellite sensors. This poster will introduce the land surface emissivity product of the NASA MEASUREs project called A Unified and Coherent Land Surface Temperature and Emissivity (LST&E) Earth System Data Record (ESDR).

To develop a unified high spectral resolution emissivity database, the MODIS baseline-fit emissivity database (MODBF) produced at the University of Wisconsin-Madison and the ASTER Global Emissivity Database (ASTER GED) produced at JPL will be merged. The unified Emissivity ESDR will be produced globally at 5km in mean monthly time-steps and for 12 bands from 3.6-14.3 micron and extended to 417 bands using a PC regression approach. The poster will introduce this data product. LST&E is a critical ESDR for a wide variety of studies in particular ecosystem and climate modeling.