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Here participants of the distance education on using decide facility and many of you I know that you are also getting on through the of you and thistopic this year we started on the applications because every year we are having the lectures on the basics of remote sensing GIS GNSS and bezel image processing and I hope you all are allay where we have Sony learning program which are which best of the graphics and the audio is also available for you to-do it on internet while we are now going to the applications I was requested to make the first presentation on natural resource management so here I will take you it to a player of applications utmost of the details will be given by my colleagues on when we talk about each application for groundwater or surface water, but I thought you all also have toknow how our Indian satellite system shave been optimized for our needs forth users of the requirement so as an application scientist what I have gained experience I would like to share with you on this Patel exercise so in the geospatialtechnologies when we speak the more sensing is one of it that is on hearth Observation systems which earthier and you are all well aware of different spatial and temporal resolutions which are existing and then how do we convert this data into an information in GIS and GPS is an added data which we get today through separate instrument or through T-Mobile#39’s what people use and more andmore today we have automatic weather stations and also there are a lot of sensors which have been kept at different isolated locations as a point information comes in and today crowdsourcing allows has become a very important aspect of data collection process between geospatial environment and how do you use all these information into modeling, and they should make youinto knowledge that is a challenge adhere we are talking about more sensing but there are so many other tools of remote sensing likely not or handheld or area we service and also the microwave remote sensing epsilon which we go and discuss in the subsequent slides now coming to we have a host earth Observation imaging capability both from Sun synchronous as well as geostationary I am NOT going to the details because many of you are familiar with the different type of data products which is available and of different resolutions so when the resolution is coarser we get very temporal resolutions much faster but when the resolution becomes more and finer the temporalresolution may be less unless we have contemporary satellites which gives it information but since the data at aperiodic interval for a country like India is very must and that to whenever we have the cloud we need the continuous imaging so presuming the cloud moves some still we get the image of the earths that's where we have on geostationary platform also we have various satellites one for remote sensing another one for also the methodological observations and many parameters which are useful for the cloud...
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