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Karnataka State Remote Sensing Applications Centre

Department of Personnel and Administrative Reforms (e-Governance), Government of Karnataka

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Karnataka State Remote Sensing Applications Centre

Department of Personnel and Administrative Reforms (e-Governance), Government of Karnataka

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Current Projects

Mobile Application

The application is developed for Agriculture department to provide the GIS based Mobile application of hissa wise soil sample collected in the field.

  1. Soil samples are collected sub survey number wise (hissa wise).
  2. Collected samples were analysed in laboratory and the Soil test results are entered in the KGIS – Soil Health web portal
  3. Soil nutrient data & Land details (survey and hissa numbers) are integrated to FRUITS portal
  4. FRUITS is a state software which facilitates registration of farmers who want to avail benefit of any Agriculture Scheme of Government.
  5. FRUITS has all the relevant farmer details including their Aadhar numbers and land details (extent, number, etc), Farmer's details, land details with the soil nutrient parameters and unique Farmer’s Identity numbers (FIDs).
  6. These information will be shared with Government of India NIC-Soil Health Card Portal for generation of Soil Health Cards.



Web Application

The application is developed for Agriculture department to provide the GIS based web application for monitoring of hissa wise soil sample collected in the field. It also enables department to enter the physicochemical parameters to the respective sample collected points, after the laboratory analysis. Used specific map visualization customization will be provided based on the histogram of the data (smart mapping).


Objectives
  1. To monitor the status of soil sample collection done using mobile application
  2. To record the physicochemical parameters of soil w.r.t sample collected points
  3. Generate the maps/reports based on admin hierarchy


User requirement
  1. GIS visualization of sample collected points along with field photograph
  2. Monitoring of status of soil sample collection
  3. Web interface to enter the physicochemical parameters of soil for the laboratory analyzed soil samples
  4. Generation of maps/report


Project Status

Ongoing

Crop Survey

The vision of the project is to create one single verified source of crop data in the state that can be utilised by multiple departments and other agents in the eco-system such as Banks, Insurance agencies etc., and this will ensure consistency in records across all databases like Parihara, RTC, Samrakhshane, etc.,
The goal is to ensure that all the systems have access to accurate & up-to-date Farmer & crop data in a timely manner. KSRSAC provides the entire state digitized revenue village maps for crop survey mobile application.


Project Status

Ongoing

Forecasting Agricultural output using Space Agro-meteorological and Land-based observation (FASAL) project of Department of Agriculture & Co-operation and Farmers Welfare, GoI. Optical and microwave remote sensing data is used for crop acreage estimation, crop condition assessment and production forecasting for the major crops of the state in collaboration with MNCFC during 2021-2022.



District level yield has been estimated using weather-based regression and remote sensing index (Vegetation Crop Index) based models.




Project Status

Ongoing

Forest fires are a major setback for forest managers, the public and the general ecology of the area. Each year in Karnataka hundreds of hectares of forests are destroyed by forest fire particularly from January to May. Forests in Karnataka represent large diversity in terrain and agro-climatic conditions. Therefore the use of low-flying, cost-effective aerial platforms for acquiring visuals of the forests at very high resolutions will be effective in monitoring. This data and its interpretations shall provide documented records of various activities (lawful and unlawful) taking place in the forest land at a given time. Regular surveillance shall also help in quantifying damages due to fires, floods and other natural and manmade calamities.
In keeping with the latest trends, the Karnataka forest department decided to create a Forest Fire monitoring and analysis cell (Forest Fire Cell) at KSRSAC to support the department in its efforts to reduce, monitor and analyze fire incidents. Based on the results and the achievement made from the project, KFD felt the need to extend this project for monitoring the forest fires every year. In this context, the project was continued for the year 2021-22.

Objectives
  1. Designing strategies for fire prevention in terms of fire barriers and live alerts.
  2. Utilizing the best available latest satellite imagery/UAV to aid active fire mitigation efforts.
  3. Bridging the gap between satellite and field, facilitating communication which can be translated immediately from map to ground, reducing response time.
  4. Accurately assessing the fire-affected area categorized by the severity and monitoring regrowth patterns.
  5. Creating a dynamic information system on control of forest fire from ground or space with bidirectional flows.
  6. To prepare, collate and disseminate data, information and advisories

Methodology
  1. Mapping of assets/ permanent structures and known landmarks and forest types in and around the Wild life sanctuary using H.R. Satellite imageries along with KFD field officers.
  2. Lantana density mapping using high-resolution satellite imagery and field surveys
  3. Preparation of High accurate Digital Elevation Model. This will be a digital terrain model for the land falling under the jurisdiction of KFD. The model will be in the form of a 10 m by 10 m grid. In difficult areas, the model will be complemented with UAV stereo imaging-based terrain models.
  4. Preparation of very high-resolution ortho images with 50 cm resolution for forest regions. UAV-based stereo imaging shall be used to supplement the available data in difficult (large slopes, dense forest cover, complex morphological features) terrains.
  5. Large-scale mapping of forest areas. Data, prepared by KSRSAC as part of the K-GIS project shall be curated for use by KFD.
  6. Development of a Mobile App (Forest Fire Monitoring and Analysis application) to provide the frontline fire-fighting KFD staff with all available and specially curated information sets for improved reach to fire locations and more informed response to ground situations.
  7. Planning and designing the forest fire lines. Creating map animations of all forest fires in the last ten years to mark ideal areas for fire lines.
  8. Development of an accurate fire vulnerability assessment model to suite to various topographic, climatic and anthropological conditions prevalent in different parts of Karnataka and providing fire alerts SMS and Email.

Work carried out
  1. Studies on the use of Remote Sensing and GIS Technologies were carried out for monitoring and controlling the forest fire.
  2. Existing fire alert systems, use of unmanned aerial systems, use of multiple free satellite data products, gaps in the existing scenario, limitation of RS & GIS, and fire prevention strategies with the latest technologies were discussed with experts and analyzed.
  3. Multiple discussions and workshops were conducted with KFD officers, the Forest Survey of India, the forestry division of NRSC, the Rapid Response Emergency Services division of NRSC, Karnataka State Natural Disaster Monitoring Centre (KSNDMC) and KSRSAC to develop the activities, responsibilities, methodologies to be adopted, deliverables, issuing advisories, etc., for forest fire monitoring and analysis cell.
  4. Mapping of all landmarks/forest firelines, finalization of jurisdictional and forest boundaries on high-resolution satellite data. Generation of a seamless geospatial database of forest department assets and facilities.
  5. Exclusive forest geospatial web portal and mobile App were developed by KSRSAC for data dissemination, alerts, and feedback and report submission.
  6. Value addition to the geospatial information portal by carrying out forest change analysis and mapping of weekly fire spread vulnerable areas.
  7. Monthly Post-fire damage assessment map depicting the areas which are >5 hectares.
  8. Fire alerts with value-added information (SMS/Email through web and mobile application)

Fire affected area was reduced.
Uniqueness Work carried out
  1. Karnataka is the first state to have rich geospatial information on forests with landmarks, jurisdictional boundaries up to beat level, forest covers and types, land use, firelines, fire-affected areas, and spread vulnerable areas on the geospatial portal of the state. Karnataka is the only state to have organised and monitored the forest fire details on a geospatial platform for dynamic analysis.
  2. Integration of fire alert information from NRSC.
  3. Customised and value-added SMS regarding the forest fire locations much earlier than the generic fire alert being provided by FSI.
  4. A dedicated 24 x 7 forest fire cell to monitor and support the forest range officers and beat guards.
  5. A system of recording the feedback of each fire alert.
  6. Ancillary benefits like re-planning the locations of forest fire lines and thereby optimal utilisation of budget and resources.

Forest fire spread vulnerability model

Geospatial portal displaying the high granular forest information

Statistics dashboard for Fire alerts

The above activities and technologies have resulted in a significant impact on controlling forest fires. Big fire incidents have not occurred after the establishment of this Cell.


Project Status

Ongoing

Creation of Geo-Spatial Database of Forest Lands of Karnataka

The fringe areas of forests in Karnataka are often influenced and encroached upon by human activities. To safeguard the forests from these negative influences effectively and also to manage forest resources it is proposed to develop a GIS-based digital cadastral database of notified forest lands. In this context, the Karnataka Forest Department initiated the project for the preparation of a geospatial database of notified forests of Karnataka using GCPs based on the survey number-wise forest notification and integrating with revenue village maps. This will help in developing land resource information systems for forest areas. This project is being executed by KSRSAC in collaboration with Karnataka Forest Department and RRSC – S.

Objectives
  1. To create a centralized GIS database of all notified forests of the state.
  2. 2) Integrating cadastral information system into the spatial framework of FIS Karnataka scalable from forest management boundaries from beat up to the circle, revenue administrative boundaries from village to district level and micro watershed to watershed boundaries to support administrative and developmental activities.

The state has been divided into 13 Circles, 52 Forest divisions and 26 wildlife sanctuaries for administrative purposes and the forest areas come in approximately 11095 villages. The circle-wise list of the village is given below:


Methodology

As an interim work to create a digital database of forest lands of Karnataka state using the available seamless cadastral data following work elements were taken up:

  1. Collection of village maps marked with forest boundary from KFD.
  2. Geo-referencing of the village maps collected from KFD by referring to the existing cadastral data.
  3. Delineation of forest boundary using georeferenced village maps and by referring to the existing cadastral data.
  4. Seamless forest boundary creation based on notified survey numbers.

The process of the identification and demarcation of forest boundaries based on the survey number-wise notification of forest lands is explained below:

  1. Collection of gazette notification of notified forests, other documents & forest maps from the concerned division/ working plan wing.
  2. Identification and collection of cadastral maps covered in forest boundary by referring to C-statement or boundary description as per gazette notification.
  3. Marking/Verifying/ Finalizing forest boundary in revenue village hard copy map in range /divisional/working plan office.
  4. Collection of GCP for each village using GAGAN-enabled GPS for geo-referencing of cadastral village maps.
  5. Geo-referencing of the village maps covering the forest boundary using collected GCPs.
  6. Geo-referencing of existing vector maps of villages and preparing a seamless village map.
  7. Delineating the forest boundary on the village map
  8. Edge matching of village maps on vector data to create a seamless cadastral GIS database with the clear boundary of forest areas.
Work carried out
Development of web and mobile GIS application

GSFIS web and mobile applications were developed with the following functionalities to facilitate smooth data transactions:

  1. Visualization of forest boundary with the village and survey number details
  2. Village notification type – Within / Adjoining
  3. Selection of area of interest – Forest Admin
  4. Village-wise status of GSFIS activities
  5. Query on a combination of GSFIS activities
  6. K-GIS and ESRI Image and Base map in the background

Project Status

Ongoing

Mapping of Forest Right Act Cases

This work has been entrusted to KSRSAC by KFD for providing the remote sensing data-based evidence to support the Ministry of Tribal Welfare, GoI. The Ministry of Tribal Welfare, GoI brought out The Schedule Tribes and Other Traditional Forest Dwellers (Recognition of Forest Rights) Act-2006 and Rules in 2008 and it is notified for implementation from 1st January 2008. The act provides individual rights to forest land which is cultivated by forest-dwelling Scheduled Tribes and other Traditional Forest dwellers who have occupied the forest land on or before 13th December 2005 and continue to be under their occupation.

Objective
  1. To provide Remote Sensing based evidence to identify whether the Scheduled Tribes and other Traditional Forest Dwellers have occupied forest area on or before 13th December 2005 or not.
Methodology
  1. Procurement of high-resolution satellite image from NRSC (CartoSat-1 of 2.5m resolution or Worldview-II of 50 cm resolution for the period Oct 2005 to Oct 2006 (Other period data used for gap areas).
  2. Collection of GPS points for the land extent claimed by the beneficiary by KFD
  3. Data verification and conversion of GPS points to GIS boundary of land extent.
  4. Overlaying on image and identifying the usage of the land extent as on the particular date.
  5. Compose case-wise maps depicting the land use details overlaid on the high-resolution satellite imagery in the background.
Work carried out
  1. As and when the KFD approaches the KSRSAC, data is processed and maps are prepared for the said cases. As of date, 76374 cases have been processed and 57471 maps have been provided.
  2. Maps were provided for 111 cases during the year 2021-2022



Project Status

Ongoing

Forest Cover Change Analysis and Mapping of Forest cover for Karnataka using Remote Sensing and GIS Technique

Karnataka Forest Department has engaged Karnataka State Remote Sensing Applications Centre, Bengaluru to analyze forest types and densities using satellite images of the year 2000. Even though the Forest Survey of India (FSI), Dehradun analyses the forest cover every two years using LISS III imagery of 23.5 resolution, their analysis is on a rather macro level. Based on the above, KFD envisages the use of high-resolution satellite image data to obtain more information about Karnataka's forest area. Therefore, the 50 cm resolution satellite data are used to perform detailed forest coverage mapping to accomplish the following objectives.

Objectives
  1. Mapping of forest cover of Karnataka using high-resolution satellite imagery.
  2. Integration of the Landuse/landcover, transportation network, and drainage network prepared from the high-resolution data.
  3. Preparation of forest types and canopy density map for the year 2018 using IRS Resourcesat-II LISS-IV satellite images. This will be considered baseline data for future change detection analysis.
  4. Development of web application for viewing, querying and analysing the above-mentioned generated Geo-spatial data
  5. Division and Range-wise Atlas show the beat level information.

Workflow for creating the forest type & forest canopy density maps

Methodology
  1. Visual interpretation - Detailed range-wise Forest type maps are prepared using the Worldview-II satellite data of 50 cm resolution by following on-screen visual interpretation.
  2. LISS IV (5.8 m) and Sentinel (10 m) satellite data (of another season) are used for reference.
  3. Doubtful areas will be identified for ground truth verification.
  4. Preliminary Forest type maps including the plantations are loaded onto the “Forest Cover Mapping” mobile APP for the ground truth data collection.
  5. Based on the ground truth data, the map is further refined to represent the current state of forest types/plantations.
  6. Based on the ground truth data, Forest type and Forest density classification is extrapolated.
  7. Creation of Forest type and canopy density map using the LISS IV satellite data of 2018 (and this will be used as a baseline for the future
  8. Section-wise hardcopy maps will be prepared and sent for field verification.
  9. Range-wise geospatial data depicting the current forest type/density will be finalized based on feedback from the field.
Work carried out
  1. Draft beat-wise maps were sent for field verification, and the feedback from the field is incorporated to create the final geospatial database.
  2. Geo-spatial database creation using the Worldview & LISS IV satellite data is completed for the entire State.
  3. 4 workshops were conducted for training the KFD officers on the use of the FCM_V&V mobile APP for field verification of the beat-wise maps.
  4. Range-wise Atlas preparation is in progress.

Project Status

Ongoing

The major scope of the project is to generate a unified Geo spatial database for the unclassified forests at cadastral level and to provide training to KFD officers on modern GPS surveying technologies.

  1. Create geospatial data base of unclassified forests at cadastral level.
  2. Updation and modification of notified forest boundaries as per the outcome of the Aranya-Bhoomi Mobile App based verification.
  3. Provide training to KFD officers to use various maps, geospatial layers, etc generated under notified forest lands project (already available) and unclassified forest lands mapping project (to be created) as references while surveying, demarcating and updating the forest boundaries in Karnataka.
  4. The project would also provide required output which will be used as input for generating draft notifications of unclassified forests to support Working Plan Wing of KFD.


Project Status

Ongoing

The Honourable Supreme Court’s Ore assessment committee (OAC) tasked KSRSAC with preparing pre-level surface plans and assessing the volume of extracted material from 62 “B” category mines in Karnataka.

Scope of work
  1. DGPS survey of individual mines to check the boundaries as per CEC sketch
  2. Generate pre level surface plan based on aerial photographs of 1993
  3. Generate post-level surface from total station survey data.
  4. Estimate the volume of materials extracted from the mine using the pre-level surface (KSRSAC) and post-level surface (DMG)
  5. Estimate the volume using other GIS/mining soft wares provided by DMG (Surpac, Bentley, Surfer, Global Mapper etc.,)
  6. Estimate the volume using Pre-Level DEM and Drone DTM
  7. To compute the quantity extracted as against the permits issued.
Work carried out
  1. Review of reports and incorporation of committee-recommended changes.
  2. Draft reports on the preparation of pre-level surface plans and estimation of the extracted material volume of mining leases of 1 B category mines have been submitted to the Department of Mines and Geology.

Project Status

Ongoing

Providing Polling Station wise Mapping & Geo-Visualization for 2023 Assembly Elections

Objectives
To geo-tag the 56696 polling station in the state and delineation of polling station limits covering 224 assembly constituencies.

The tasks include:
a) Identification and mapping of Polling station location
b) Delineation of Polling station limits.
c) Creation of state seamless database of the Polling station and jurisdiction boundary.


Project Status

Ongoing

Karnataka Election 2023 - Mobile and Web Applications

In view of Karnataka Legislative Assembly Elections of 2023, The Chief Electoral Office envisioned the need, to create a GIS map of all the polling stations (booths) and their respective geographic boundaries for the state. Towards this endeavor, Joint CEO approached KSRSAC to map all the Polling Stations and their electoral boundaries, along with various attribute information of polling stations.They include infrastructure facilities for citizens, location information, area information, voters information, candidate information and more.

Data Collection Methodology:


  • Collection of Polling station list from EC.
  • Identification of polling stations from satellite images along with department officials. The available satellite data (CartoSAT) with KSRSAC used for mapping activities.
  • All the polling stations mapped as a points on layer at the GIS environment.
  • Each polling station point assigned the constituency code and polling station number
  • For each polling station, the boundary associated with the same was identified manually. The support of field officers of the respective town/constituency was taken by the representatives of KSRSAC.
  • The identified boundary was plotted on the GIS environment as a polygon feature.
  • Each polling station boundary polygon was attached to the constituency code and polling station number


Web Application

In order to record, map, manage, monitor and analyze the Election information a web-enabled geographic information system (GIS) was implemented. The GIS is implemented on a secure server at KSDC, the map service is hosted on a GIS Server and the MIS data was loaded onto a SQL database. The web-based GIS application uses a server/client model.

Project Status

Ongoing

KSRSAC geo-referenced all 30854 village maps and created a seamless mosaic on the CartoSAT (2.5m spatial resolution) satellite image, which was later spatially geo-referenced on 50 cm satellite data and mosaic generated using Karnataka GIS (K-GIS). This geo-referenced seamless village map, known as a cadastral map, is used by various departments of the GoK, including Agriculture, Horticulture, Industries, Water Resources, Forest, Watershed Development, and so on, for the implementation and monitoring of their respective schemes, survey number wise. These cadastral maps lack subdivided boundaries, so it is not possible to link the Bhoomi database to actual land parcels owned by individual farmers. Since spatial data on individual land ownership are not available, identifying the actual beneficiary under various schemes during field data collection and validation is difficult. Therefore the Revenue Department GoK felt the need to incorporate HISSA boundaries in the existing cadastral maps and thus entrusted the work to KSRSAC. Currently, around 200 engineers are working on Hissa digitization activities, image verification, geo-referencing, and the finalisation of a seamless cadastral map.

Objectives
  1. Digitization of Hissa maps and incorporation of Hissa boundaries in the existing cadastral database
  2. To develop an online system for updating Hissa maps as a continuous process whenever mutation is recorded in the Bhoomi database.
Methodology
  1. The methodology proposed by KSRSAC is given briefly below:
    1. 50cm high-resolution satellite data is available as part of K-GIS. The existing seamless cadastral maps are already re-geo-referenced onto the high-resolution satellite data.
    2. The scanned Hissa maps available with Bhoomi / SSLR shall be taken.
    3. The survey number polygons in the existing Village maps shall be subdivided as per the Hissa maps.
    4. The field bunds seen on the satellite image shall be used as a reference for creating the sub-divided polygons. The distance, shape and size of sub-divided parcels in the Hissa map shall be used for reference and maintained the same in creating the final sub-divided boundary polygon.
    5. Hissa maps shall be geo-referenced within the existing survey numbers if the available satellite image can’t be used for demarcating the boundaries.
    6. Care shall be taken to retain the shape and size of the Hissa map polygons, and refer them to the high-resolution remote sensing image data.
    7. Village-to-village edge-matching will be carried out to create seamless hissa-incorporated cadastral data.
  2. The Hissa map data shall be used for planning and monitoring schemes and developmental activities. These data shall NOT be used for legal use.
  3. The records in Bhoomi shall be reconciled and ensured that every hissa record available shall have a hissa polygon on the GIS map. This will ensure one-to-one correspondence of Bhoomi records with maps.
  4. A process of regular updating of map data along with Bhoomi shall be created. An application shall be developed to dynamically update the updated GIS map of Hissa maps with transactions on Bhoomi data.
Work Carried Out
  1. As part of the first phase of activities, 174 taluks from 31 districts have been selected for Hissa digitisation.
  2. Hissa map validation has been completed in 149 taluks, with 25 taluks still in progress
  3. The revenue department's missing Hissa uploading has been completed in 60 Taluks and is currently underway in 114 other taluks.
  4. Edge-matching is completed for four taluks.

Project Status

Ongoing

The REWARD Program will be implemented for five years from 2021-22 to 2026-27 in twenty-one districts of Karnataka State viz., Bidar, Kalburagi, Yadgir, Koppal, Kolar, Gadag, Davanagere, Dharwad, Chamarajnagar, Raichur, Chimmakamagalur, Vijayanagara, Tumakuru, Vijayapura, Haveri, Bagalkot, Hassan, Shivamogga, Chitradurga, Chikkaballapura and Belagavi in selected watersheds covering an area of about 20 lakh ha. LRI study is proposed in the entire 20 lakh has to be carried out by LRI partners of WDD.

Objectives
  1. To provide the following RS/GIS products:
    1. Hard copy maps with updated geo-referenced seamless cadastral maps superimposed on high-resolution satellite data.
    2. Base layers (administrative boundary, drainage, water Bodies and transport network and micro-watershed boundaries).
    3. Digital Elevation Model (DEM) of 1m or better height accuracy
    4. Soil Moisture Index (SMI) maps and NDVI maps shall be provided 3 times a year (cropping seasons).
    5. Land use / Land cover change analysis and identification of structures shall be provided once a year using satellite images of 5m or better.
    6. Geology, geomorphology, landform, soil, land degradation maps and data available with KSRSAC will be made available to the program partners for the proposed micro-watersheds covered under REWARD program.
  2. To provide technical support for LRI Portal and DSS application refinement in collaboration with WDD's LRI Portal Development Partner and Program partners.
  3. Participate in stakeholder workshops/capacity-building programmes, as well as review meetings, and offer suggestions/feedback.
  4. To support capacity-building activities/training programmes on RS and GIS technologies for programme partners, including the creation of Training Manuals, software demonstrations, lab practices and so on
  5. Providing the district authorities and M&E agency with RS and GIS layers for DPR preparation and baseline/end-line analysis, respectively.
Work Carried Out
  1. More than 2500 Micro-Watershed boundaries have been delineated for the Project area using 2m contours, and the codes have been updated following SLUSI nomenclature.
  2. Hardcopy maps for 323 Micro-Watersheds covering 2,64,200 Ha (>2500 maps) were made available to all WDD Partner Institutes for use in carrying out LRI field activities. The sample maps generated for each MWS for the LRI field activities are shown in Fig-1 & 2.
  3. Base layers, thematic data and high-resolution satellite images of the REWARD project area are shared with the Partner Institutes of WDD for carrying out the LRI field plan activities.
  4. Supported and contributed to the preparation of the 'Remote sensing and GIS training manual' for the REWARD Program in collaboration with NBBSS&LUP.
  5. The 10m Carto-DEM data for the selected Model Micro-Watershed has been shared with Hydrology-Partners of the REWARD project for hydrological studies.
  6. A dedicated FTP link for the REWARD project has facilitated project partners for sharing the data and softcopy maps.
  7. Participated in a stakeholder workshop and meetings of the project. Capacity building in partner institutes was assisted by the provision of RS-related training modules and manuals.

Project Status

Ongoing

NRSC developed the Space-based Information Support for Decentralized Planning Update (SIS-DPU) project to update the base layers and LU/LC with 2017-18 and the earliest equivalent or high-resolution satellite data. The data of the SIS-DP (Phase-I) programme was previously generated using 2010-2011 satellite data and it was conceptualised and implemented by NRSC in collaboration with the country's State Remote Sensing Applications Centers. This programme aims to provide geospatial information to the people at the grassroots level (Gramapanchayat level) to assist them in scientifically informed planning, implementation, and monitoring of various developmental schemes. The current SIS-DP Update Program aims to generate updated geospatial thematic layers mainly for four themes (Land use land cover, Infrastructure, drainage network, and Settlement) for the state. The specific goal is to emphasize standardization and harmonization of land cover classification systems by providing details up to level IV classification consisting of 89 classes. The level III, level II and Level I classifications will consist of 41, 27 and 7 classes respectively. The LULC map of the Haveri district thus created under the programme is provided in Figure 1 below:



Work Carried Out
  1. Completed the base layers for 25 districts and land use land cover for 20 districts.
  2. RRSC-South, Bengaluru has completed the external quality check for 18 districts.



Project Status

Ongoing

The revenue villages in Karnataka contain areas like Thanda, Hatti, Koppalu, etc. These are habitat areas in addition to the village's main settlement / gramatana, where people have lived for a long time. To award ownership rights to residents of these areas, the government established a New Revenue Cell within the Revenue Department. This Cell's mission is to establish a new revenue village, a child village separated from a single or set of main or parent villages. Mark the habitat regions as gramatana for the newly constituted revenue village.
Since KSRSAC is already working on digitizing the revenue department's parent Revenue Survey Maps / Village Maps, this New Revenue Village data production project was entrusted to the Center. Based on the information provided by the Revenue Department, KSRSAC will generate these maps and share hard copies of the maps with the department. The project is funded by the Revenue Department. Following the government's formal notification and certification as new villages, these villages will be incorporated for use by other GoK departments and citizens.

Objective
  1. To demarcate new revenue village boundaries from the parent village maps and share them with the department for further notification.
Methodology
  1. The process involves scanning, digitization, quality check and plotting of maps.
  2. Based on the information provided by the department, the new revenue village boundary/limit is delineated on the current Revenue Survey / Cadastral data using AutoCAD software.
  3. New survey numbers will be assigned for both parent and NRV villages. Both parent and child villages are represented in different colour symbology.
  4. Hard-copy prints of the maps will be provided to the dept. for confirmation and issue of preliminary notification.
  5. Once confirmation/request to deliver final maps is received, NRV maps are separated and additional cartographic details are added. This separated NRV map and left out portion of the parent village will be shared with the department in hard copy map prints.
Work carried out

To date, the digitization and separation of 1691 new revenue villages from the parent village have been completed for issuing a final notification. In addition, 1717 NRV villages were delineated from the parent village and a map is provided for preliminary notification. Further, 1865 NRV village re-work is carried out and corresponding map print is provided to the dept. PDF maps of the NRV maps generated are shared with the dept. for documentation and publishing purposes.



Project Status

Ongoing

Karnataka Geographic Information System


Overview

After completing its three-year mission mode period (April 2016 to March 2019), the K-GIS Program resumed operations in April 2019 under DPAR (e-Governance).

The various geospatial activities undertaken by K-GIS in the year 2021-22 are based on the requirements shared by the departments of the Government of Karnataka (GoK). For the operational activities of monitoring, planning, and decision support, the activities include GIS data organisation, spatial data and database management, web and mobile application development, and so on. Aside from that, KSRSAC user department projects involving GIS web/mobile application development components were also undertaken under K-GIS. The K-GIS team also developed applications for KSRSAC in-house activities such as project monitoring and resource analysis.
From April 2021 to March 2022, the following activities were carried out as part of the K-GIS Program.

Highlights of activities

The following are the highlights of major activities carried out during reporting period.

  1. Survey number polygons with Hissa boundaries are being updated. A fully customised workflow application with GIS validation has been developed and is being used successfully by all taluka officers and the KSRSAC data development team. The digitization of approximately 6000 villages is now complete.
  2. Soil Health Mission - Under this programme, an integrated application flow for the web application, mobile application, and data sharing to FRUITS via Web services and thus to NIC, Delhi for soil health card preparation is developed. The same application is used to monitor field surveys, enter data for lab analysis, and generate reports. With appreciation, the Government of India has advised other states to adopt similar methodologies.
  3. The Karnataka Forest Geoportal's Forest Fire Alert and Management System has completed its operational phase successfully. Additional modules for forest cover changes analysis and vulnerable forest fire areas were developed and implemented successfully.
  4. The Karnataka @ Glance application was developed for the Planning Department, and the Hon'ble Chief Minister of Karnataka released a digital book on Karnataka @ Glance and District @ Glance. The KAG application was revamped for 2020-21, with a new interface and additional parameters, including the NITI Aayog indicators for aspirational districts.
  5. The NGSK Application for the RDPR department was developed, which included web and mobile applications for geotagging project proposals and approvals. The data captured in the project proposal will be used to track the physical progress of the project on a stage-by-stage basis using geo-fencing and allowing the user to photograph within the geo-fenced boundary. CSG created the entire workflow process, which is integrated with KSRSAC's geospatial component. The RDPR's constituent agencies, namely KRRDA, PRED, and KRIDL, are already on board, and other departments will follow suit with the necessary modifications. The web application also includes search, road/segment selection, and other projects, as well as a filtered view based on geography, time, and stages of project activities.
  6. Basemap Validation of 124 towns of IPDS scheme for BESCOM.
  7. Shared school dataset with various analytical parameters as per Karnataka Administrative Reforms Commission requirements. The Commission appreciated the efforts of KSRSAC.
  8. Integrated KIADB GIS with existing KIADB Online / KUM Portal and developed an automated system. The existing manual entry/update system is decommissioned and replaced with the KIADB online application, with data in GIS being updated via automated web services.
  9. A web/mobile application has been developed to collect the location and photograph of a building/site from citizens for the e-khata application. It is currently being tested in Mangalore, and if successful, it could be extended to all other towns.
  10. The spatial datasets were shared as web services by KSRSAC with the PM Ghatisakthi programme. As soon as the Gatishakthi team's 100% data requirement was available with K-GIS, it was shared as map services, assisting the GoI team in consuming and visualising the same.

Project Status

Ongoing