Skip to main content

Blue census, Water census...

          The Uttar Pradesh State Water and Sanitation Mission (SWSM) will soon be documenting the drinking water resources across six zones of the state. These zones are Allahabad, Ghaziabad, Gorakhpur, Lucknow, Varanasi and Moradabad. The documentation - to be done through Geographical Information System (GIS) and Global Positioning System (GPS) mapping - will take note of ponds (manmade and natural), wells and handpumps. This exercise which is a part of the National Rural Drinking Water Programme (NRDWP) will help the officials to create a proper database of these resources, which will be used for their management.

         Through the mapping, all the details of all the resources will be compiled, complete with their longitude and latitude dimensions. The department plans to start off the exercise by April 1, 2011 and should end by March 31, 2012. The focus will initially be on villages where the drinking water condition is really bad in summer and this data will be mapped within three months. This would help the authorities to finalise plans for providing emergency relief to these villages. After the mapping, the details will be given to the selected civil society organisations in these villages, who will then do a regular monitoring of the water quality.

Comments

  1. Shreerang,

    I would like to introduce you to Surveylab's ike GIS GPS integrated data capture device for your project. It is a GPS, laser range finder, digital camera, and digital compass in a small hand-held unit. Please check out my website www.trianglesds.com for more information. Thanks and good luck on your project.

    Brian

    ReplyDelete

Post a Comment

Please leave your comments here...

Recommended for You

Playing with the markers and info window bubbles...

    In the last few posts, we have seen some marker examples and some information window examples. Now, lets do something interesting combining these two things. Just writing that "This is an info window" in the information bubble is not very interesting! And I know this...Have gone through the same phase!     So, today we will do something interesting! We will display the latitude- longitude co-ordinates of the point that the user clicks on the map! Doing this is not at all complex! Copy paste the following code and you will see for yourself a map coming to life!     The output of the above code looks as seen in the result section above! If you have any queries regarding the above code please comment on the blog post or feel free to contact me at my mail ID .

Where does Google get it's live traffic data from?

Referring to a post that I wrote earlier, Google’s - Live traffic Layer , ever wondered how Google collected this data? I was wondering the other day, how Google received live data to display it on their maps as a layer! I looked up the web and found something very interesting and am sharing the same with you all. As we all know, the traffic layer is available most accurately in several states in USA. Most major metro areas in the US have sensors embedded in their highways. These sensors track real time traffic data. Easy to miss at high speeds (hopefully anyway, traffic permitting), more commonly noticed may be the similar sensors that often exist at many busy intersections that help the traffic lights most efficiently let the most amount of people through. The information from these tracking sensors is reported back to the Department of Transportation (DOT). The DOT uses this data to update some of the digital signs that report traffic conditions in many metro areas. They als...

ES6 Rest operator

Spatial Unlimited changes to The UI Dev After being hosted on blogger 😣 for the last 6 years 📆, this page has finally been moved to Github.io This means a few things for you, dear reader! You will be redirected to the new page shortly! ⏩ ⏩ ⏩ Once crapy HTML is now better looking Markdown ! 😍 😍 The entire blog is a Github repo ! 😍 😍 Spatial Unlimited is now The UI Dev 😍 😍

ES6 101 - Lexical Declarations Let

Spatial Unlimited changes to The UI Dev After being hosted on blogger 😣 for the last 6 years 📆, this page has finally been moved to Github.io This means a few things for you, dear reader! You will be redirected to the new page shortly! ⏩ ⏩ ⏩ Once crapy HTML is now better looking Markdown ! 😍 😍 The entire blog is a Github repo ! 😍 😍 Spatial Unlimited is now The UI Dev 😍 😍

The Bicycling Layer...

    Recreational cyclists and bike commuters alike can plot cycle-friendly routes, find trails, and avoid snarling traffic with Google Map's Bicycle layer. Map's bike-friendly, green-toned map layer is very eye-pleasing. The Google Maps API allows you to add bicycle information to your maps using the BicyclingLayer object.     The BicyclingLayer renders a layer of bike paths, suggested bike routes and other overlays specific to bicycling usage on top of the given map. Additionally, the layer alters the style of the base map itself to emphasize streets supporting bicycle routes and de-emphasize streets inappropriate for bicycles.     Let us have a look at the following example. The code has a map which is centered at Pune, India. There are very few cycle tracks in Pune and so you will see just a few dark green lines on the map. But if you would change the latitude-longitude values in the code and center the map at USA, then you will see a...