Zhao, Maosheng: University of Maryland (Project Lead)
Project Funding:
2011 - 2013
Funded by NASA
Abstract:
As far as we know, the MODIS 8-day, 1km GPP (Gross Primary Production) and annual NPP (Net Primary Production) are the only full global coverage terrestrial carbon cycle variables produced regularly, and distributed freely in the world. In addition, the companion global 8-day 1km ET (Evapotranspiration) dataset fills a previously unmet need for an equivalent global vegetation water cycle variable. This proposal aims to continue improvements and validation of these datasets while providing continuity of these global variables since 2000 at 1km or better resolution. We walk the tight-rope between research and quasi-operational status with this proposal, as we serve a large and growing user community with this dataset. (The Zhao et al 2005 paper on our MODIS NPP dataset in Remote Sensing of Environment was the highest cited paper in that lead remote sensing journal over the last five years.) So, we propose to (1) test and implement improvements to the spatial resolution and temporal consistency of the input data (2) expand global validation activities mostly with FLUXNET sites (3) finalize the Algorithm Theoretical Basis Document (ATBD) for our companion Evapotranspiration algorithm and deliver production code (4) explore the role of our NPP and ET in global carbon and water cycle and climate research and (5) work with international science groups such as IGBP, GTOS, Global Carbon Project, NACP and others to use these global datasets for integrated global change metrics.
Publications:
Zhao, M., Running, S. W. 2010. Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009. Science. 329(5994), 940-943. DOI: 10.1126/science.1192666
Zhao, M., Running, S. W., Nemani, R. R. 2006. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. Journal of Geophysical Research. 111(G1). DOI: 10.1029/2004JG000004
Zhao, M., Heinsch, F. A., Nemani, R. R., Running, S. W. 2005. Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment. 95(2), 164-176. DOI: 10.1016/j.rse.2004.12.011
Mu, Q., Zhao, M., Running, S. W. 2011. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sensing of Environment. 115(8), 1781-1800. DOI: 10.1016/j.rse.2011.02.019
Mu, Q., Heinsch, F. A., Zhao, M., Running, S. W. 2007. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 111(4), 519-536. DOI: 10.1016/j.rse.2007.04.015
Mildrexler, D. J., Zhao, M., Running, S. W. 2009. Testing a MODIS Global Disturbance Index across North America. Remote Sensing of Environment. 113(10), 2103-2117. DOI: 10.1016/j.rse.2009.05.016
Mildrexler, D. J., Zhao, M., Heinsch, F. A., Running, S. W. 2007. A NEW SATELLITE-BASED METHODOLOGY FOR CONTINENTAL-SCALE DISTURBANCE DETECTION. Ecological Applications. 17(1), 235-250. DOI: 10.1890/1051-0761(2007)017[0235:ANSMFC]2.0.CO;2
Heinsch, F.A., M. Zhao, S.W. Running, et al. (2006). Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Transactions on Geoscience and Remote Sensing, 44(7): 1908-1925.
Kimball, J. S., McDonald, K. C., Zhao, M. 2009. 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. DOI: 10.1175/EI187.1
More details may be found in the following project profile(s):
