Research Papers

Spatial mapping of growing degree days: an application of MODIS-based surface temperatures and enhanced vegetation index

[+] Author Affiliations
Quazi K. Hassan, Charles P. Bourque, Fan-Rui Meng, William Richards

University of New Brunswick

J. Appl. Remote Sens. 1(1), 013511 (April 24, 2007). doi:10.1117/1.2740040
History: Received January 8, 2007; Revised April 13, 2007; Accepted April 21, 2007; April 24, 2007; Online April 24, 2007
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Abstract

Growing degree days (GDD) is a simple temperature-based index of biological development. In this paper we evaluated the potential of using 2003-2005 MODIS-based 8-day and 16-day composites of daytime surface temperature (TS) and enhanced vegetation index (EVI) values at 250 m resolution for mapping GDD. The work was applied to the Canadian Atlantic Maritime Ecozone as a demonstration of the methodology. The work proceeded by establishing an empirical relationship between mean tower-based estimates of TS for the MODIS-acquisition period of 10:30 am-12:00 pm and the daily mean TS calculated from half-hourly emitted infrared/longwave radiation measurements taken from four flux sites in southern commercial forests of Canada. The relationship revealed a strong correlation between variables (r2=98.4%) and was central to the calculation of daily mean TS from MODIS-based estimates of TS. Since seasonally-based estimates of GDD and EVI were strongly correlated (r2=87%), data fusion techniques were applied to enhance the GDD map originally produced at 1 km resolution (from infrared emission band data), to 250 m. In general, the MODIS-derived map of GDD showed a positive constant offset of about 511 degree days from calculated long-term averages (1971 2000) based on temperatures collected at 101 Environment Canada climate stations.

© 2007 Society of Photo-Optical Instrumentation Engineers

Topics

MODIS

Citation

Quazi K. Hassan ; Charles P. Bourque ; Fan-Rui Meng and William Richards
"Spatial mapping of growing degree days: an application of MODIS-based surface temperatures and enhanced vegetation index", J. Appl. Remote Sens. 1(1), 013511 (April 24, 2007). ; http://dx.doi.org/10.1117/1.2740040


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