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C Jeganathan
C Jeganathan
Professor in Department of Remote Sensing, Birla Institute of Technology (BIT)
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Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
VF Rodriguez-Galiano, M Chica-Olmo, F Abarca-Hernandez, PM Atkinson, ...
Remote Sensing of Environment 121, 93-107, 2012
6802012
Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology
PM Atkinson, C Jeganathan, J Dash, C Atzberger
Remote sensing of environment 123, 400-417, 2012
5722012
A review of radar remote sensing for biomass estimation
S Sinha, C Jeganathan, LK Sharma, MS Nathawat
International Journal of Environmental Science and Technology 12 (5), 1779-1792, 2015
3682015
New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities
PS Roy, MD Behera, MSR Murthy, A Roy, S Singh, SPS Kushwaha, ...
International Journal of Applied Earth Observation and Geoinformation 39 …, 2015
2312015
The use of MERIS Terrestrial Chlorophyll Index to study spatio-temporal variation in vegetation phenology over India
J Dash, C Jeganathan, PM Atkinson
Remote Sensing of Environment 114 (7), 1388-1402, 2010
1702010
Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type
C Jeganathan, J Dash, PM Atkinson
Remote sensing of Environment 143, 154-170, 2014
1592014
Evaluating a thermal image sharpening model over a mixed agricultural landscape in India
C Jeganathan, NAS Hamm, S Mukherjee, PM Atkinson, PLN Raju, ...
International Journal of Applied Earth Observation and Geoinformation 13 (2 …, 2011
1492011
Amazon vegetation greenness as measured by satellite sensors over the last decade
PM Atkinson, J Dash, C Jeganathan
Geophysical Research Letters 38 (19), 2011
882011
Mapping the phenology of natural vegetation in India using a remote sensing-derived chlorophyll index
C Jeganathan, J Dash, PM Atkinson
International Journal of Remote Sensing 31 (22), 5777-5796, 2010
742010
Extracting seasonal cropping patterns using multi-temporal vegetation indices from IRS LISS-III data in Muzaffarpur District of Bihar, India
S Mondal, C Jeganathan, NK Sinha, H Rajan, T Roy, P Kumar
The Egyptian Journal of Remote Sensing and Space Science 17 (2), 123-134, 2014
662014
Incorporating spatial variability measures in land-cover classification using Random Forest
VF Rodríguez-Galiano, F Abarca-Hernández, B Ghimire, M Chica-Olmo, ...
Procedia Environmental Sciences 3, 44-49, 2011
642011
Integrating GIS and multicriteria decision making techniques for land resource planning
A Laskar
ITC, 2003
632003
Discriminating the invasive species,‘Lantana’using vegetation indices
R Kandwal, C Jeganathan, V Tolpekin, SPS Kushwaha
Journal of the Indian Society of Remote Sensing 37, 275-290, 2009
552009
Characterising the spatial pattern of phenology for the tropical vegetation of India using multi-temporal MERIS chlorophyll data
C Jeganathan, J Dash, PM Atkinson
Landscape Ecology 25, 1125-1141, 2010
482010
Developing synergy regression models with space-borne ALOS PALSAR and Landsat TM sensors for retrieving tropical forest biomass
S Sinha, C Jeganathan, LK Sharma, MS Nathawat, AK Das, S Mohan
Journal of Earth System Science 125, 725-735, 2016
442016
Spatial data mining for drought monitoring: An approach using temporal NDVI and rainfall relationship
A Sharma
ITC, 2006
352006
Estimation and evaluation of high spatial resolution surface soil moisture using multi-sensor multi-resolution approach
S Koley, C Jeganathan
Geoderma 378, 114618, 2020
332020
Development of fuzzy logic architecture to assess sustainability of the forest management
C Jeganathan
ITC, 2003
332003
Multi-sensor approach integrating optical and multi-frequency synthetic aperture radar for carbon stock estimation over a tropical deciduous forest in India
S Sinha, S Mohan, AK Das, LK Sharma, C Jeganathan, A Santra, ...
Carbon Management 11 (1), 39-55, 2020
312020
Sentinel 1 and Sentinel 2 for cropland mapping with special emphasis on the usability of textural and vegetation indices
S Koley, J Chockalingam
Advances in Space Research 69 (4), 1768-1785, 2022
282022
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