MEaSUREs Freeze/Thaw ESDR

Project Description

An Earth System Data Record for Land Surface Freeze/Thaw State

Quantifying Terrestrial Water Mobility Constraints to Global Ecosystem Processes

Project Summary: 

The FT-ESDR is a NASA MEaSUREs (Making Earth System Data Records for Use in Research Environments) funded effort to provide a consistent long-term global data record of land surface freeze/thaw (FT) state dynamics for all vegetated regions where low temperatures are a major constraint to ecosystem processes. The FT measurement is derived from temporal change classification of global satellite microwave remote sensing time series, including passive microwave radiometry from the Special Sensor Microwave Imager (SSM/I) and Advanced Microwave Scanning Radiometer for EOS (AMSR-E), and radar scatterometry from SeaWinds-on-QuikSCAT. The ecological significance and basis of the FT measurement from satellite microwave remote sensing is summarized in the literature (e.g., see "Relevant Publications" section below). The FT-ESDR is designed to:

  1. distinguish FT heterogeneity in accordance with mesoscale climate and landscape topographic features
  2. establish biophysical linkages between FT processes and vegetation productivity, respiration and associated land-atmosphere carbon exchange
  3. distinguish FT dynamics in accordance with episodic weather events, annual anomalies, periodic climate cycles and long-term climate change trajectories.

Spring Thaw Trend SSM/I 1988-2006

Scientists

Publications

Publications: 

Entekhabi, D., E. Njoku, P. Houser, M. Spencer, T. Doiron, J. Smith, R. Girard, S. Belair, W. Crow, T. Jackson, Y. Kerr, J. Kimball, R. Koster, K. McDonald, P. O'Neill, T. Pultz, S. Running, J.C. Shi, E. Wood, and J. Van Zyl, 2004.
The Hydrosphere State (HYDROS) mission concept: An Earth System Pathfinder for global mapping of soil moisture and land freeze/thaw. Transactions in Geoscience and Remote Sensing 42, 10, 2184-2195.

Kimball, J.S., K.C. McDonald, and M. Zhao, 2006. Spring thaw and its effect on terrestrial vegetation productivity in the western Arctic observed from satellite microwave and optical remote sensing. Earth Interactions 10(21), 1-22.

Kimball, J.S., K.C. McDonald, S.W. Running, and S. Frolking, 2004. Satellite radar remote sensing of seasonal growing seasons for boreal and subalpine evergreen forests. Remote Sensing of Environment 90, 243-258.

McDonald, K.C, and J.S. Kimball, 2005. Hydrological application of remote sensing: Freeze-thaw states using both active and passive microwave sensors. Encyclopedia of Hydrological Sciences. Part 5. Remote Sensing. M.G. Anderson and J.J. McDonnell (Eds.), John Wiley & Sons Ltd. DOI: 10.1002/0470848944.hsa059a.

McDonald, K.C., J.S. Kimball, E. Njoku, R. Zimmermann, and M. Zhao, 2004. Variability in springtime thaw in the terrestrial high latitudes: Monitoring a major control on the biospheric assimilation of atmospheric CO2 with spaceborne microwave remote sensing. Earth Interactions 8(20), 1-23

Data Product

Metadata

Date: 
May 1, 2010
Spatial Resolution: 
25 km
Radiometric Resolution: 
8-bit
Rows: 
586
Columns: 
1383
Map Projection: 
EASE grid
Lat Long NW: 
86.171 -179.999
Lat Long SE: 
-84.240 179.740
Institution: 
The University of Montana
Reference: 
  1. Brodzik, M. J. and R. L. Armstrong. 2008. updated daily. Near-Real-Time DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures, 1988-2007. Boulder, Colorado USA: National Snow and Ice Data Center. Digital media.
  1. Ferraro, R. R., F. Weng, N. C. Grody, and A. Basist. (1996). An eight-year (1987-1994) time series of rainfall, clouds, water vapor, snow cover, and sea ice derived from SSM/I measurements. Bulletin of the American Meteorological Society, 77(5), 891-905
  1. Friedl, M. A., D. K. McIver, J. C. F. Hodges, X. Y. Zhang, D. Muchoney, A. H. Strahler, C. E. Woodcock, S. Gopal, A. Schneider, A. Cooper, A. Baccini, F. Gao, and C. Schaaf (2002). Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment, 83, 287-302
  1. GLOBE Task Team and others (Hasting, D. A., P. K. Dunbar, G. M. Elphingstone et al.). (1999). The global land one-kilometer base elevation (GLOBE) digital elevation model, version 1.0. National Oceanic and Atmospheric Administration, National Geophysical Data Center, 325 Broadway, Boulder, Colorado 80305-3328, U.S.A. Digital data base on the World Wide Web (http://www.ngdc.noaa.gov/mgg/toto/globe.html) and CD-ROMs
  1. Kim, Y., J. S. Kimball, K. C. McDonald, and J. Glassy. 2010. (In press). Developing a Global Data Record of Daily Landscape Freeze/Thaw Status using Satellite Microwave Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing.
  1. McDonald, K.C, and J.S. Kimball, 2005. Hydrological application of remote sensing: Freeze-thaw states using both active and passive microwave sensors. Encyclopedia of Hydrological Sciences. Part 5. Remote Sensing. M.G. Anderson and J.J. McDonnell (Eds.), John Wiley & Sons Ltd. DOI: 10.1002/0470848944.hsa059a.