• Unlocking Values Through Geospatial Intelligence.

    Geospatial Analytics Division

    @ Digital University Kerala

    Emphasizes the power of location-based data to drive smarter decisions.
    Our advanced analytics reveal patterns and opportunities that help to transform.

  • Where Data Meets the Power of Place.



    Geospatial Analytics Division

    @ Digital University Kerala

    Highlights the fusion of data and location to unlock deeper insights.
    We empower organizations to harness the value of place for better decision-making.

  • Mapping Insights, Shaping Futures.



    Geospatial Analytics Division

    @ Digital University Kerala

    Emphasizes the role of geospatial data in uncovering valuable insights.
    By mapping information, we help to shape strategic decisions and drive future success.

  • Visualize the Earth, Transform Your Thoughts.



    Geospatial Analytics Division

    @ Digital University Kerala

    Emphasizes the power of geospatial visualization to shift perspectives.
    See the world through data, and unlock innovative ideas and solutions for growth.

Basic Info about us

Geospatial Analytics Division     @

Digital University Kerala Logo

We are experts in Geospatial data management and application development. We believe small teams can carry a big punch.

We enjoy collaborating with our clients and educating them and ourselves. We are devoted to using new and improved technologies. Our team is passionate about what they do and it shows in our work.

We bring quality and perfectionism to each project. We don't make promises we can't keep, so we’ll tell you at the start if your idea is feasible.

We have some geospatial ideas for you.
Quality is our top priority.
We love our valued clients.

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We offer you the world-class services,solutions
in Geospatial Technology.

Academic Programmes

M.Sc. in Data Analytics & Geoinformatics | Industry-focused curriculum, tech-enhanced learning and live project experience.

Trainings

Offering concise training programs in Geospatial Data Analytics, Remote Sensing, Web & Mobile GIS, and related fields.

Research & Development

Remote Sensing, Geostatistics, Data Modeling & Mining, Spatial Databases, Web & Mobile GIS, Cloud Computing, and Open Source GIS.

GIS Customization

Tailoring GIS solutions to meet your unique needs with customized tools, applications, and workflows.

Consultancy Services

Web & Mobile GIS, spatial data analysis, geostatistics, UAV-based solutions, spatial database management, and GPS survey & mapping

GIS Cloud Services

Harnessing GIS cloud services to deliver scalable, efficient, reliable, and real-time geospatial solutions.

We have done
some great innovations, solutions

We’ve brought great ideas to life through geospatial analytics.
Turning data into impactful solutions is what we do best!

Our latest
visionary, creative work

We have contributed
valuable knowledge,studies

We’ve made significant contributions to geospatial analytics through extensive research,
peer-reviewed papers, journal articles, and impactful symposium presentations!

Journal Articles

  • L. Kamala Sthanu, J. Divakaran Sarasamma, R. T. Radhakrishnan, and M. Chellappan, "Soil quality mapping studies using nematodes as bioindicators", Open J. Soil Sci., vol. 3, no. 7, pp. 323-335, 2013, doi: 10.4236/ojss.2013.37037
  • K. Mohan, T. Radhakrishnan, M. T. K. Manojkumar, and M. S. Girish, "Modeling spatial variability of load carrying capacity of soil using GIS", Int. J. Recent Develop. Eng. Technol., vol. 2, no. 6, pp. 72-76, Jun. 2014.
  • K. Prithivi, P. Nikhil, and T. Radhakrishnan, "Plant species diversity index mapping using Sentinel 2 satellite imagery in the western part of Pathanamthitta district", GRENZE Int. J. Eng. Technol., vol. 9, no. 2, pp. 519-523, 2023.
  • T. Radhakrishnan, M. T. K. Manojkumar, "A novel ensemble method for spatial prediction of soil organic carbon", J. Data Acquis. Process., vol. 38, no. 2, pp. 3625-3637, 2023, doi: 10.5281/zenodo.777248.
  • R. T. Iyer and M. T. Krishnan, "Citation network analysis of geostatistical and machine learning based spatial prediction", Spatial Inf. Res., vol. 31, no. 6, pp. 625–636, 2023, doi: 10.1007/s41324-023-00526-0.
  • R. T. Iyer and M. T. Krishnan, "Spatial prediction of soil micronutrients using supervised self-organizing maps", J. Agric. Food Res., vol. 15, 101033, 2024, doi: 10.1016/j.jafr.2024.101033.
  • Manoj O, John Jo V, Amith ME, Anuja VR, Hareesh M, Suparna A, Thulasimani P, Pradeep B, Radhakrishnan T, Jessy MD, Rema SA, "Site-Specific Online Fertilizer Recommendations in Small Cardamom (Elettaria cardamomum (L.) Maton through CardSApp offers fertilizer savings and higher economic returns." Plant Sci. Today [Internet]. 2024 Dec. 27 [cited 2024 Dec. 31];11(sp3)

Symposium Presentations

  • R. Remesh K. R., B. G., and T. Radhakrishnan, "Impact of 2030 climate on suitability of yams in major growing environments of India", Int. Seminar on Tropical Roots and Tubers for Sustainable Livelihood under Changing Agro-climate, 2013, Kerala.
  • V. M., B. G., and T. Radhakrishnan, "Impact of 2030 climate on suitability of Amorphophallus in growing environments of India", Int. Seminar on Tropical Roots and Tubers for Sustainable Livelihood under Changing Agro-climate, 2013, Kerala.
  • S. Sabitha, B. G., and T. Radhakrishnan, "Assessment and mapping of spatial variation of selected soil physical and chemical characteristics of CTCRI farm", Int. Seminar on Tropical Roots and Tubers for Sustainable Livelihood under Changing Agro-climate, 2013, Kerala.
  • K. Prithivi, J. Balachandran, T. Radhakrishnan, P. L. L. Prakash, and S. Rajan, "Technology-assisted spatial decision support system for livestock management", Proc. ISRS-ISG National Symposium, 2022.

Conference Papers

  • A. K. Gopinath and T. Radhakrishnan, "Flood mitigation study on a GIS platform for an ungauged catchment: A case study", in Water Resources Management VI (Transaction: Ecology and the Environment, vol. 145), 6th Int. Conf. on Sustainable Water Resources Management, May 2011, Riverside, California, USA.
  • Ajithkumar. R., T. Radhakrishnan, and M. K. Manojkumar, "A statistical analysis of soil fertility of Thrissur district, Kerala", Int. Conf. Data Science and Eng., 2016, IEEE Kerala.
  • R. T. Iyer, M. T. Krishnan, S. K. K. Pillai and L. P. P. Lalitha, "Geostatistical Modeling of Soil nutrients and development of a mobile application for site-specific fertilizer recommendation", 2019 IEEE Recent Advances in Geoscience and Remote Sensing : Technologies, Standards and Applications (TENGARSS), Kochi, India, 2019, pp. 148-150, doi: 10.1109/TENGARSS48957.2019.8976057.
  • T. Radhakrishnan, R. N. Manikantan, M. K. T. Manoj Kumar, and K. Satheesh Kumar, "Novel application of the concepts of network science to analyze geospatial soil nutrients data", Proc. Int. Conf. Ecological Informatics (ICEI 2020+1), Nov. 9-13, 2021.
  • S. Mathew Saji, T. Radhakrishnan, M. K. T. Manoj Kumar, A. K. R., and A. P. V. A., "Machine learning based spatial prediction of soil properties/nutrients using dynamic environmental covariates", Proc. Int. Conf. Ecological Informatics (ICEI 2020+1), Nov. 9-13, 2021, Thiruvananthapuram.
  • A. P. V. A., T. Radhakrishnan, M. K. T. Manoj Kumar, A. K. R., and S. Mathew Saji, "Spatial prediction of soil properties/nutrients of Alappuzha district using hybrid machine learning algorithms", Proc. Int. Conf. Ecological Informatics (ICEI 2020+1), Nov. 9-13, 2021, Thiruvananthapuram.
  • C. M. Lukose, A. K. R., and T. Radhakrishnan, "Seasonal analysis of groundwater recharge using GIS and remote sensing techniques", Proc. 2023 Int. Conf. Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), Hyderabad, India, 2023, pp. 1-3, doi: 10.1109/MIGARS57353.2023.10064600.
  • S. Zacharia, T. Radhakrishnan, N. P. Nikhil, R. E. Oommen, and A. K. R., "Deep learning-based seasonal NDVI forecasting for enhanced agricultural sustainability: A case study in the Kuttanad region, Kerala, India", Proc. Int. Conf. Civil Engineering for a Sustainable Planet, 2023.
  • S. George, R. E. Oommen, and T. Radhakrishnan, "Temporal analysis and forecasting of rainfall of Kerala: A machine learning-based approach", Proc. Int. Conf. Civil Engineering for a Sustainable Planet, 2024.
  • K. Prithivi, P. Nikhil, T. Radhakrishnan, and P. K. Shaji, "Analyzing plant species distribution in sacred groves through spatial clustering", Proc. Int. Conf. Civil Engineering for a Sustainable Planet, 2024.
  • P. L. L. Prakash, T. Radhakrishnan, V. G. Kumar, and S. Anju, "Design and development of a web-based platform for the modeling and visualization of bathymetric data", Proc. Int. Conf. Civil Engineering for a Sustainable Planet, 2024.
  • S. R. Bhavana, T. Radhakrishnan, and S. Anju, "Spatial prediction of soil organic carbon in Panamaram block, Kerala: A comparative study of various techniques", Proc. Int. Conf. Civil Engineering for a Sustainable Planet, 2024.

We have some great, ideal specialized experts

Meet our specialized experts who prove that small teams can pack a big punch. They deliver impact with passion and precision!

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Dr. Radhakrishnan T

Coordinator
Geospatial Analytics

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Dr. Manoj Kumar T K

Coordinator
Data Analytics

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Dr. Ajith Kumar R

Director
CDIPD

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Sarath Zacharia

Senior DevOps Engineer

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Lal Prakash P L

Senior Software Engineer

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Anju S

Software Engineer

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Suchindra Kumar S

Senior Software Developer

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Nikhil P

GIS Engineer

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Aneesh Kumar R

Senior Technical Assistant

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Jishnu R S

Senior Software Developer

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Prithivi K

Junior Research Fellow

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Riya Elsa Oommen

Intern

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Stalin George

Intern

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Aswathy Nair

EWYL Intern

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Jeslin Saji

EWYL Intern

How to reach us

Let’s Get in Touch