Garik Gutman

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A large number of waterand climate-related applications, such as drought monitoring, are based on spaceborne-derived relationships between land surface temperature (LST) and the normalized difference vegetation index (NDVI). The majority of these applications rely on the existence of a negative slope between the two variables, as identified in siteand(More)
Understanding Land Cover/Land Use Change (LCLUC) in diverse regions of the world and at varied spatial scales is one of the important challenges in global change research. In this article, we provide a brief overview of the NASA LCLUC program, its focus areas, and the importance of satellite remote sensing observations in LCLUC research including future(More)
The Northern Eurasia Earth Science Partnership Initiative (NEESPI) is a rapidly growing program that involves national government agencies, academia and private organizations in the U.S., Europe, Japan and Northern Eurasia. The NEESPI Science Plan has been prepared as an integrated regional study to evaluate the role of anthropogenic impacts on the Northern(More)
In this paper, I am raising the issue of missing data treatment in producing continuous spatio-temporal fields of biogeophysical variables from AVHRR and MODIS or MODIS-like sensor data. Climate and numerical forecast models that use surface variables require that input fields be continuous in time and space (e.g. Gutman, 1990). However, quite often the(More)
Currently, the Northern Eurasia Earth Science Partnership Initiative (NEESPI) includes over 120 international projects involving more than 200 scientific institutions from over 30 countries. The program involves national government agencies, academia and private organizations in the U.S., Europe, Japan and Northern Eurasia (Gutman 2007). The NEESPI science(More)
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