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T-107, Steinman Hall
140th St. & Convent Ave.,
New York, NY 10031, USA
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Posted on October 26, 2012
Thursday, November 1, 2012
New Jersey Institute of Technology
Colton Hall 416
4:30 to 5:45 pm
Abstract: Satellite data through remote sensing have great potential in providing relevant spatial data and
parameters at appropriate scale for its use in distributed hydrological models for water resource research
applications. In contrast to many conventional data normally represented by point measurements, remote
sensing‐based measurements spatially average the pixels that can be appropriately used for distributed
hydrological model. Furthermore, remote sensing enables data access from remote and inaccessible
areas, where data are typically sparse. Remote sensing technology uses electromagnetic spectrum in the
range of wavelengths of different radiations reflected or emitted by objects. There are two main types of
remote sensing ‐ passive and active remote sensing. The passive systems are based on the measurements
of the natural thermal emission in the form of brightness temperature from the earth surface, while the
active microwave systems generate their own radiation, which is transmitted toward the earth surface,
and measures the reflected energy. Three main elements are necessary for a reliable forecast and
monitoring of hydrological processes, namely, good‐quality precipitation data, accurate characterization of
surface conditions and robust, accurate and detailed hydrological models. In this study, the focus is placed
on satellite‐based land surface and precipitation products and their integration into operational
hydrological models.
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T-107, Steinman Hall
140th St. & Convent Ave.,
New York, NY 10031, USA
PHONE
(212) 650-8099
FAX
(212) 650-8097