Bhubaneswar Land Use Intelligence System (BLUIS) – General Administration & Public Grievance, Odisha

SKOCH Award Nominee

Category: state – State Department
Sub-Category: substate – State Department
Project: Bhubaneswar Land Use Intelligence System (BLUIS)
Start Date: 2020-07-08
Organisation: General Administration & Public Grievance, Odisha
Respondent: Mr Surendra Kumar, Principal Secretary
Level: Executive Plus


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For more information, please contact:
Mr Surendra Kumar, Principal Secretary at

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One Comment

  1. Innovative aspects of BLUIS

    • No human intervention in encroachment/land use change detection
    • High resolution Satellite imageries (50 cm) used on monthly basis to detect land use changes
    • Artificial Intelligence automatically identifies buildings/construction activity in government owned lands. By comparing high resolution satellite images of the previous month, the algorithm identifies the new constructions/encroachments. Land use changes identified by the AI system are verified on the spot by field officers before taking further action.
    • Machine Learning is used to automate the identification process on a monthly basis and to classify high resolution satellite imagery into different land use classes and identify changes across two images.
    • GIS Database along with the ortho rectified satellite imagery (with extracted vector data and government land information) is used to create single, GIS data-rich maps for geo-tagging of government lands and monitoring the land use change.
    • Crowdsourcing based BLUIS Mobile Application puts the power in the hands of the citizen to report any land use changes on government owned lands. These reports of land use changes can be validated by the field officers using the mobile app.
    • Geo-intelligent Mobile App helps officials to navigate to the encroachment site with the help of inbuilt GPS feature without any hassle and validate the encroachment alerts by taking geo-tagged images and videos for next level of processing.
    • Big-data is used to transform the massive spatial data into manageable information to cleanse, process, analyze and display the large volumes of spatial data. It also allows to ingest near real-time satellite images on monthly frequency and real time user input data into the system.
    • Analytics options are given for Interactive visualization of land use change alerts, their status, customized reports for authorities and user specific actionable dashboard.

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