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.
Labels:

Comments

  1. Brian DeemMarch 9, 2011 at 6:14 AM

    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 😍 😍
Post a Comment
Read more

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 😍 😍
Post a Comment
Read more

CSS Text and Font

    In this post today, we will take a look at some of the most interesting CSS text and font properties listed below. text-transform white-space word-break word-spacing word-wrap font-variant Text-transform property:     Let's begin with the text-transform property. The filler text used in all the examples below has been taken from Andy Matthew's filler text generator which is a humorous replacement to the traditional boring lorem ipsum .     The text-transform property will turn your text to uppercase, lowercase and also will capitalize the first character of every word. So now you don't need any javascript to do your bidding. This transformation will be done irrespective of the special characters preceding and following the text characters. The following example will make things much more clear and editable of course =) White-space property:     The next property to explore is the white-space  proper...
Post a Comment
Read more

ES6 101 - For..of

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 😍 😍
Post a Comment
Read more

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,...
Post a Comment
Read more