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

ES6 101 - Set

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 😍 😍

Fusion Table Layer...

    Today we will have a look at the "Fusion Table" Layer example. But before we start with the actual code, we will have a look at what Fusion Table is. Google Fusion Table is a free service for sharing and visualizing data online. It allows you to share data, merge data from multiple tables into interesting derived tables, and see the most up-to-date data from all sources. There is a lot of documentation about Google Fusion Table available on the web. You can visit their home page or the Google Research Blog to gather more information about Fusion Tables.     Let us have a look at the following code. The code is very short and simple to understand!     The few things to look out for in the above code are: The manner in which mapTypeId has been specified! In other Google Maps API v3 examples, we have seen that we specify mapTypeID as ROADMAP, SATELLITE, etc. i.e., all the letters are in uppercase and not in quotes! However, in this...

Reverse Geocoding

    The term geocoding generally refers to translating a human-readable address into a location on the map. The process of doing the converse, translating a location on the map into a human-readable address, is known as reverse geocoding. You can read more about geocoding here .     The Geocoder in Google Maps API v3, supports reverse geocoding directly. While geocoding, we supply a textual address and that gets mapped as a location on the map. However, in reverse geocoding, instead of supplying the textual address, we will supply a comma- separated latitude- longitude pair and get a textual address as the result. You can have a look at the geocoding example here , before proceeding to the reverse geocoding example.     The reverse geocoder often returns more than one result. Geocoding "addresses" are not just postal addresses, but any way to geographically name a location. For example, when geocoding a point in the city of Agra, India,...

50000 hits and live examples

    Hello to all the blog readers - to the regulars and the first timers. Spatial Unlimited just crossed the 50,000 all time hits milestone and so its time to celebrate and also mark the occasion with something new and interesting.       The new addition to this blog is that, you will now be able to enjoy the codes live on the blog. I am adding some life to the blog by converting all the earlier life-less codes to JsFiddle powered live examples. I have converted a few and am sharing the links here. Please share your feedback and let me know what you think of the new additions. Hope you keep enjoying the blog as much as I enjoy updating it! Cheers! Links to Live Examples: 1. Simple Google Map 2. Simple Map Marker 3. Multiple Markers 4. KML Layer

Rail Radar - Map your Train Live!

    Rail Radar - An interactive map that allows users to watch the movements of trains that are currently running in India. This means that you can now know the status of your trains live! Rail Radar is a real time tracker of the Indian Railways passenger trains. This live tracker is shown on our very own Google Maps and this long awaited system is a result of a collaboration between the CRIS - Center for Railway Information System and RailYatri.in.     Since this is a live tracking system of the Indian Railways, a few questions that will pop up in the minds who have ever travelled by railways will be - "Is this system really reliable? Is the data accurate? Can I trust the Rail Radar ?" Well, the system is reliable and you can trust the data since the information and intelligence behind the Rail Radar is extracted and harnessed from volumes of data from the official Indian Railway's train running operational data. With regards to accuracy – this...