Hi All, I am part of one focus group of the larger "Save Bangalore Lakes" community initiative that aims to provide an open forum to discuss the degrading (or improving) condition of Bangalore's Lakes.
As part of our ongoing research to obtain as much information about the lakes and other water bodies -- we are piloting a new data science exercise where we plan to attempt collecting as much raw data (from scratch) about the lakes - including catchment areas, lake peripheries and other measures. Although some of this work has been done before, in order to be completely objective and not introduce too much bias into our project -- we are trying to figure out how to capture and analyze raw data collected from scratch - such that we can come up with insights we may have overlooked before. Was hoping to get some ideas from some of you in this group as to how to go about the following: - How to go about capturing remotely sensed data - How to convert raw data captured via Remote Sensing into shape files - Understanding the process of building a basemap from scratch - Annotating, tagging and modeling the adapted data I know I am basically asking for "all the answers" but we have a team of volunteers in place and need someone/some people to give us a few pointers in the right direction so we don't run around in circles too much. Anyone have any advice? thanks! kavita arora -- For more details about this list http://datameet.org/discussions/ --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/groups/opt_out.
