This directory contains the 0.5- and 0.05-degree MODIS Drought Severity Index (DSI) product at 8-day and annual time intervals over 2000-2011. To detect and monitor drought, the remotely-sensed DSI uses operational global land products derived from NASA satellite observations, namely the MODIS terrestrial evapotranspiration (ET) and vegetation greenness products. Since there is no significant vegetated land surface beyond 80N latitude and below 60S latitude, we only produce the DSI for the vegetated land surface between 80N and 60S latitude. Please see http://www.ntsg.umt.edu/project/dsi for a full overview. -------------------------------------------------------------------------------- (1.) GENERAL DATASET INFORMATION -------------------------------------------------------------------------------- TEMPORAL RESOLUTION: 8-day and Annual SPATIAL RESOLUTION: 0.5 and 0.05 degree DATA FORMAT: HDF-EOS (see http://hdfeos.org) SPATIAL PROJECTION/TILING: Geographic WGS84 (GCTP_GEO); single global tile TEMPORAL EXTENT: 2000 - 2011 SPATIAL EXTENT: 80N - 60S latitude -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- (2.) VARIABLES -------------------------------------------------------------------------------- NAME: DSI DESCRIPTION: MODIS Drought Severity Index (DSI). The DSI ranges fom unlimited negative values (drier than normal) to unlimited positive values (wetter than normal). FILL_VALUE: 2.9999999e+35f -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- (3.) INPUT DATA -------------------------------------------------------------------------------- INPUT EVAPOTRANSPIRATION: ET and PET from the MODIS MOD16 ET Product (http://www.ntsg.umt.edu/project/mod16) driven by the NCEP/DOE Reanalysis II (http://climatedataguide.ucar.edu/reanalysis/ncep-reanalysis-r2) INPUT VEGETATION INDEX: NDVI from the MODIS MOD13 product (https://lpdaac.usgs.gov/products/modis_products_table/mod13a2) -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- (4.) MAIN REFERENCES -------------------------------------------------------------------------------- Mu, Q., M. Zhao, J. S. Kimball, N. G. McDowell, S. W. Running (2013) A Remotely Sensed Global Terrestrial Drought Severity Index. Bulletin of the American Meteorological Society, 01/2013, Volume 94, Issue 1, Number 1, p.83.98, (2013) DOI:10.1175/BAMS-D-11-00213.1 Mu, Q., F.A. Heinsch, M. Zhao, S.W. Running (2007). Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment, 111, 519-536 (doi: 10.1016/j.rse.2007.04.015). Mu, Q., M. Zhao, S. W. Running (2011) Improvements to a MODIS Global Terrestrial Evapotranspiration Algorithm. Remote Sensing of Environment, 115: 1781-1800. doi: 10.1016/j.rse.2011.02.019. Zhao, M., S. W. Running (2010) Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science, 329: 940-943. Zhao, M., F. A. Heinsch, R. R. Nemani, and S. W. Running. (2005). Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment, 95: 164.176. Zhao, M., S. W. Running, and R. R. Nemani. (2006). Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. Journal of Geophysical Research, 111, G01002, doi:10.1029/2004JG000004. Huete, A., K. Didan, T. Miura, et al. (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83: 195.213. Myneni, R. B., Hoffman, S., Knyazikhin, Y., Privette, J. L., Glassy, J., Tian, Y., et al. (2002). Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment, 83(1.2), 214.231. -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- (5.) CONTACTS -------------------------------------------------------------------------------- Dr. Qiaozhen Mu qiaozhen@ntsg.umt.edu or Numerical Terradynamic Simulation Group (NTSG) University of Montana http://www.ntsg.umt.edu/contact --------------------------------------------------------------------------------