All Stories

  1. Optimizing Cropping Intensity Through an Integrated MCDM Framework: a Step Toward Sustainable Agriculture

    Article • Process Integration and Optimization for Sustainability, August 2025, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  2. Quantitative Analysis of Variance and Optimization of Coordinate Systems and Temporal Conditions for Minimizing GPS Measurement Errors

    Article • April 2025, Taylor & Francis

    Dr. Jeganathan Chockalingam

  3. Satellite-based Assessment of Phenological Informatics and Associated Drivers over a Biodiversity Hotspot in the North-Eastern Region of India

    Article • Environmental and Sustainability Indicators, March 2025, Elsevier

    Dr. Jeganathan Chockalingam

  4. Machine Learning Approach to Biomass Estimation: Integrating Satellite and Ground Data in Sal Forests of Jharkhand

    Article • Journal of the Indian Society of Remote Sensing, November 2024, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  5. Enhancing Forest Canopy Height Mapping in Kaziranga National Park, Assam, by Integrating LISS IV and SAR data with GEDI LiDAR data Using Machine Learning

    Article • ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, November 2024, Copernicus GmbH

    Dr. Jeganathan Chockalingam

  6. Understanding and mitigating climate change impacts on ecosystem health and functionality

    Article • RENDICONTI LINCEI, August 2024, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  7. Exploring the Integration AI and Geospatial Data for Natural Resources Monitoring: A Week Training at BIT Mesra

    Article • Journal of the Geological Society of India, August 2024, Geological Society of India

    Dr. Jeganathan Chockalingam

  8. Quantifying forest resilience post forest fire disturbances using time-series satellite data

    Article • Environmental Monitoring and Assessment, December 2023, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  9. Estimation of natural vegetation phenology metrics using time series EVI over Jharkhand state, India

    Article • Journal of Spatial Science, December 2023, Taylor & Francis

    Dr. Jeganathan Chockalingam

  10. Plugging the Gaps in the Global PhenoCam Monitoring of Forests—The Need for a PhenoCam Network across Indian Forests

    Article • Remote Sensing, December 2023, MDPI AG

    Dr. Jeganathan Chockalingam

  11. The relationship between central Indian terrestrial vegetation and monsoon rainfall distributions in different hydroclimatic extreme years using time-series satellite data

    Article • Theoretical and Applied Climatology, August 2023, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  12. Mapping Annual Cropping Pattern from Time-Series MODIS EVI Using Parameter-Tuned Random Forest Classifier

    Article • Journal of the Indian Society of Remote Sensing, March 2023, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  13. Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India

    Article • Remote Sensing, November 2022, MDPI AG

    Dr. Jeganathan Chockalingam

  14. Analysing the spatio-temporal patterns of vegetation dynamics and their responses to climatic parameters in Meghalaya from 2001 to 2020

    Article • Environmental Monitoring and Assessment, November 2022, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  15. Evaluating the climatic and socio-economic influences on the agricultural drought vulnerability in Jharkhand

    Article • Environmental Monitoring and Assessment, October 2022, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  16. Effect of scale, landscape heterogeneity and terrain complexity on agriculture mapping accuracy from time-series NDVI in the Western-Himalaya region

    Article • Landscape Ecology, September 2022, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  17. Sentinel 1 and Sentinel 2 for cropland mapping with special emphasis on the usability of textural and vegetation indices

    Article • Advances in Space Research, February 2022, Elsevier

    Dr. Jeganathan Chockalingam

  18. Multi-resolution analysis based data mining approach to assess vegetation dynamics in Jharkhand using time series MODIS products

    Article • Geocarto International, January 2022, Taylor & Francis

    Dr. Jeganathan Chockalingam

  19. Resilience of the Central Indian Forest Ecosystem to Rainfall Variability in the Context of a Changing Climate

    Article • Remote Sensing, November 2021, MDPI AG

    Dr. Jeganathan Chockalingam

  20. Estimation and evaluation of high spatial resolution surface soil moisture using multi-sensor multi-resolution approach

    Article • Geoderma, November 2020, Elsevier

    Dr. Jeganathan Chockalingam

  21. Improved NDVI based proxy leaf-fall indicator to assess rainfall sensitivity of deciduousness in the central Indian forests through remote sensing

    Article • Scientific Reports, October 2020, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  22. Segmentation-based approach for trend analysis and structural breaks in rainfall time series (1851–2006) over India

    Article • Hydrological Sciences Journal, May 2020, Taylor & Francis

    Dr. Jeganathan Chockalingam

  23. Diagnostically counting palm date trees in Al-Ahssa Governorate of Saudi Arabia: an integrated GIS and remote sensing processing of IKONOS imagery

    Article • Spatial Information Research, January 2020, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  24. Multi-sensor approach integrating optical and multi-frequency synthetic aperture radar for carbon stock estimation over a tropical deciduous forest in India

    Article • Carbon Management, November 2019, Taylor & Francis

    Dr. Jeganathan Chockalingam

  25. Development of a system for drought monitoring and assessment in South Asia

    Article • January 2019, Elsevier

    Dr. Jeganathan Chockalingam

  26. Evaluating the Performance of Multi-Class and Single-Class Classification Approaches for Mountain Agriculture Extraction Using Time-Series NDVI

    Article • Journal of the Indian Society of Remote Sensing, October 2018, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  27. Wavelet and non-parametric statistical based approach for long term land cover trend analysis using time series EVI data

    Article • Geocarto International, October 2018, Taylor & Francis

    Dr. Jeganathan Chockalingam

  28. Mapping Agriculture Dynamics and Associated Flood Impacts in Bihar using Time-series Satellite Data

    Article • September 2018, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  29. George Joseph and C. Jeganathan: Fundamentals of Remote Sensing

    Article • Journal of the Indian Society of Remote Sensing, August 2018, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  30. Fundamentals of Remote Sensing. Third Edition. By George Joseph and C. Jeganathan. Universities Press (India) Private Limited, Hyderabad, India. 2018. ISBN 978-93-86235-46-6. 606 pages with 20 in colour. Paperback, 180 mm x 240 mm.

    Article • The Photogrammetric Record, June 2018, Wiley

    Dr. Jeganathan Chockalingam

  31. Extracting Agriculture Area from Coarse Resolution MODIS time-series data in the Mountainous Region

    Article • International Journal of Remote Sensing, March 2018, Taylor & Francis

    Dr. Jeganathan Chockalingam

  32. Fractal-Based Pattern Extraction From Time-Series NDVI Data for Feature Identification

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, December 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Jeganathan Chockalingam

  33. MODIS-VCF Based Forest Change Analysis in the State of Jharkhand

    Article • Proceedings of the National Academy of Sciences India Section A Physical Sciences, November 2017, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  34. Multi-polarized Radarsat-2 satellite sensor in assessing forest vigor from above ground biomass

    Article • Journal of Forestry Research, October 2017, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  35. Time-series cloud noise mapping and reduction algorithm for improved vegetation and drought monitoring

    Article • GIScience & Remote Sensing, February 2017, Taylor & Francis

    Dr. Jeganathan Chockalingam

  36. Space-Time Integrated Landslide Hazard Zonation near Tehri Dam in Uttarakhand, India

    Article • January 2017, IGI Global

    Dr. Jeganathan Chockalingam

  37. Monitoring Horizontal and Vertical Cropping Pattern and Dynamics in Bihar over a Decade (2001–2012) Based on Time-Series Satellite Data

    Article • Journal of the Indian Society of Remote Sensing, August 2016, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  38. A survey of particle swarm optimization and random forest based land cover classification

    Article • April 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Jeganathan Chockalingam

  39. Spatio-Temporal Forest Change Assessment Using Time Series Satellite Data in Palamu District of Jharkhand, India

    Article • Journal of the Indian Society of Remote Sensing, February 2016, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  40. A review of radar remote sensing for biomass estimation

    Article • International Journal of Environmental Science and Technology, January 2015, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  41. Extracting seasonal cropping patterns using multi-temporal vegetation indices from IRS LISS-III data in Muzaffarpur District of Bihar, India

    Article • The Egyptian Journal of Remote Sensing and Space Science, December 2014, Elsevier

    Dr. Jeganathan Chockalingam

  42. Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type

    Article • Remote Sensing of Environment, March 2014, Elsevier

    Dr. Jeganathan Chockalingam

  43. Scrutinising MODIS and GIMMS Vegetation Indices for Extracting Growth Rhythm of Natural Vegetation in India

    Article • Journal of the Indian Society of Remote Sensing, December 2013, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  44. Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology

    Article • Remote Sensing of Environment, August 2012, Elsevier

    Dr. Jeganathan Chockalingam

  45. Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

    Article • Remote Sensing of Environment, June 2012, Elsevier

    Dr. Jeganathan Chockalingam

  46. Geoinformatics

    Article • June 2011, Taylor & Francis

    Dr. Jeganathan Chockalingam

  47. Multi-Objective Spatial Decision Model for Land Use Planning in a Tourism District of India

    Article • Journal of Environmental Informatics, March 2011, International Society for Environmental Information Science (ISEIS)

    Dr. Jeganathan Chockalingam

  48. Incorporating Spatial Variability Measures in Land-cover Classification using Random Forest

    Article • Procedia Environmental Sciences, January 2011, Elsevier

    Dr. Jeganathan Chockalingam

  49. Mapping the phenology of natural vegetation in India using a remote sensing-derived chlorophyll index

    Article • International Journal of Remote Sensing, December 2010, Taylor & Francis

    Dr. Jeganathan Chockalingam

  50. The use of MERIS Terrestrial Chlorophyll Index to study spatio-temporal variation in vegetation phenology over India

    Article • Remote Sensing of Environment, July 2010, Elsevier

    Dr. Jeganathan Chockalingam

  51. Terrestrial vegetation phenology from MODIS and MERIS

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Jeganathan Chockalingam

  52. Characterising the spatial pattern of phenology for the tropical vegetation of India using multi-temporal MERIS chlorophyll data

    Article • Landscape Ecology, June 2010, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  53. Estimating the Local Small Support Semivariogram for Use in Super-Resolution Mapping

    Article • January 2010, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  54. Comparison of MODIS vegetation continuous field — based forest density maps with IRS-LISS III derived maps

    Article • Journal of the Indian Society of Remote Sensing, December 2009, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  55. Discriminating the invasive species, ‘Lantana’ using vegetation indices

    Article • Journal of the Indian Society of Remote Sensing, June 2009, Springer Science + Business Media

    Dr. Jeganathan Chockalingam

  56. Characterisation of malaria vector habitats using Remote sensing and GIS

    Article • Journal of the Indian Society of Remote Sensing, March 2001, Springer Science + Business Media

    Dr. Jeganathan Chockalingam