Nitesh Kumar Mourya

About

“The ingenuity of GeoAI and human insight unlocks new ways to understand Earth's features, confront its problems, and design lasting solutions.”
“GeoAI isn’t perfect—unless we expertly integrate robust training data, apply continuous knowledge and refinement, and fuel it with imaginative research planning. This powerful collaboration transforms GeoAI into an essential tool for understanding and safeguarding Earth’s ecosystems.”
Guided by these principles, I specialize in Remote Sensing, GIS, and GeoAI, leveraging advanced platforms like Google Earth Engine, ArcGIS, QGIS, and ERDAS Imagine converting complex geospatial data into actionable knowledge. My expertise includes land cover classification, satellite image analysis, automated feature extraction, and the integration of AI into environmental and spatial modeling.
As co-founder of GeoCatalog, I provide dedicated research consultancy to PhD scholars and support impactful research publications. Additionally, I offer comprehensive geospatial training programs to empower students and researchers with the practical skills needed to address today’s environmental and geographic challenges. Through meticulous data refinement and collaborative innovation, I strive to advance geospatial science for sustainable solutions that benefit Earth’s ecosystems and society alike.
Never Ever Settle, Eagar to learn, perform and research.

Employment

• National Law School of India University Research Assistant
  2025 - Present
• GEOTECH GIS TRAINING INSTITUTE & CONSULTANCY SERVICES Assistant Professor
  2024 - Present
• Swastik Edustart Faculty Member
  2022 - 2023
• GeoCatlog Co-Founder
  2021 - Present

Education

• Maharshi Dayanand Saraswati University M. Sc.
  2024 - Present
• University of Rajasthan M.A./M.Sc. Geography
  2017 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Finding robust model for Urban Growth Prediction based on Land Use Land Cover Classification: A comparative study of CA Markov based Models LCM and MOLUSCE
  Journal of Geography and Regional Future Studies 2026 DOI: 10.30466/grfs.2026.56701.1169
  +Save
• Evaluation of Shoreline Alteration Along theJagatsinghpur District Coast, India (1990–2020) using DSAS
  Ocean & Coastal Management 2024 DOI: 10.1016/j.ocecoaman.2024.107132
  +Save
• “Forest carbon sequestration mapping and economic quantification infusing MLPnn-Markov chain and InVEST carbon model in Askot Wildlife Sanctuary, Western Himalaya”
  Ecological Informatics 2023 DOI: 10.1016/j.ecoinf.2023.102428
  +Save
• Evaluation of Shoreline Alteration Along the Jagatsinghpur District Coast, India (1990-2020) Using Dsas
  2023 DOI: 10.2139/ssrn.4531352
  +Save
• Land use/land cover dynamics study and prediction in jaipur city using CA markov model integrated with road network
  GeoJournal 2022 DOI: 10.1007/s10708-022-10593-9
  +Save
• Land Use/ Land Cover Dynamics Study and Prediction In Jaipur City us­ing CA Markov Model Integrated with Road Network
  2021 DOI: 10.21203/rs.3.rs-755200/v1
  +Save