GEOGRAPHIC 

INFORMATION SYSTEM(GIS)Bibliography Global Positioning System(GPS)         

                                       

 

Applications of Remote Sensing and GIS in Hydrology

Remote Sensing and GIS technologies are well-established tools and are routinely used in applied hydrology, forestry, land use dynamics analyses, etc. Abilities of remote sensing technology in hydrology are to measure spatial, spectral, and temporal information and provide data on the state of the earth's surface. It provides observation of changes in hydrological states, which vary over both time and space that can be used to monitor hydrological conditions and changes. Sensors used for hydrological applications cover a broad range of electromagnetic spectrum. Both active sensors that send a pulse and measure the return pulse (like radar, microwave etc.) and passive sensors that measure emissions or reflectance from natural sources (like Sun, thermal energy of the body) are used. Sensors can provide data on reflective, thermal and dielectric properties of earth's surface.

 Remote sensing techniques indirectly measure hydrological variables, so the electromagnetic variables measured by remote sensing have to be related to hydrological variables empirically or with transfer functions.

 Remote sensing applications in hydrology that are being used today are mainly in:

·         Precipitation estimation

·         Runoff computations

·         Snow hydrology applications

·         Evapotranspiration over land surface

·         Evaluation of soil moisture content

·         Water quality modelling

·         Groundwater identification and estimation

·         Hydrological modelling

 GIS can play fundamental role in the application of spatially distributed data to hydrological models. In conventional applications, results either from remote sensing or from GIS analyses serve as input into hydrological models. Land use and snow cover are the most commonly used input variables for hydrological models. The integration of GIS, database management systems and hydrological models speed up the use of remote sensed data in hydrological applications.

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