From CEF

Membres: SiddharthaKhare

Siddhartha Khare

Postdoctorat
The spatial characterization of tree growth by the integration of spatially-continuous variables
University of Quebec at Chicoutimi

Director: Sergio Rossi

Research Interest

My research interest is to analyse forest diversity using multi-source, multi-temporal remote sensing data . My main research focuses on dense time series analysis of phenology, invasive plant species identification, mapping and biodiversity assessment of moist deciduous forests in the Western Himalaya, India. Current research focuses on for the spatial characterization of tree growth by the integration of spatially-continuous variables and to describe the spatial pattern of tree phenology and radial growth across the boreal forest.

Work Experience

Foreign Research Visits

Education

Publications

  1. Khare, S., Latifi, H., & Rossi, S., 2019. Forest beta-diversity analysis by remote sensing: How scale and sensors affect the Rao’s Q index. Ecological Indicators, 106, pp.105520.
    DOI: https://doi.org/10.1016/j.ecolind.2019.105520 
  2. Khare, S., Latifi, H., Rossi, S. and Ghosh, S.K., 2019. Fractional Cover Mapping of Invasive Plant Species by Combining Very High-Resolution Stereo and Multi-Sensor Multispectral Imageries. Forests, 10(7), pp.540.
    DOI: https://doi.org/10.3390/f10070540 
  3. Khare, S., Latifi, H. and Ghosh, S.K., 2018. Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data. Geocarto international, 33(7), pp.681-698.
    DOI: 10.1080/10106049.2017.1289562 
  4. Khare, S., Latifi, H. and Ghosh, S.K., 2018. Full satellite remote sensing based approach to assess the plant and tree species diversity using high and very spatial resolution multi-spectral data. EGU General Assembly 2018(Vienna | Austria | 8–13 April 2018).
    DOI: https://meetingorganizer.copernicus.org/EGU2018/EGU2018-665.pdf 
  5. Khare, S., Ghosh, S.K., Latifi, H., Vijay, S. and Dahms, T., 2017. Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data. International Journal of Remote Sensing, 38(15), pp.4418-4442.
    DOI: 10.1080/01431161.2017.1320450 
  6. Khare, S., Latifi, H. and Ghosh, S. K., 2016. “Phenology Analysis of Forest Vegetation to Environmental Variables during-and Post-Monsoon Seasons in Western Himalayan Region of India”. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp.15-19.
    DOI: 10.5194/isprs-archives-XLI-B2-15-2016 
  7. Khare, S. and Ghosh, S.K., 2016. “Satellite Remote Sensing Technologies for Biodiversity Monitoring and Its Conservation”, International Journal of Advanced Earth Science and Engineering, 5(1), pp.375-389.
    DOI: 10.23953/cloud.ijaese.213 
  8. Zhang, S., Buttò, V., Khare, S., Deslauriers, A., Morin, H., Huang, J.-G., Ren, H., Rossi, S., 2019. Calibrating phenocam data with phenological observations in black spruce. Agricultural and Forest Meteorology. (Under Review)
  9. Khare, S., and Rossi, S., 2019. Phenology analysis of moist deciduous forest using time series Landsat-8 remote sensing data. IEEE International workshop on Metrology for Agriculture and Forestry, Naples, Italy, October 24 - 26, 2019. (Accepted)
  10. Rossi, S., Zhang, S., Deslauriers, A., Butto, V., Morin, H., Huang, J.-G., Ren, H., and Khare, S., 2019. Linking phenocam derived phenology with field observations in the boreal forest. IEEE International workshop on Metrology for Agriculture and Forestry, Naples, Italy, October 24 - 26, 2019. (Accepted)
  11. Fakhri, S. A., Sayadi, S., Latifi, H., Khare, S., 2019. An optimized Enhanced Vegetation Index for Sparse Tree Cover Mapping across a Mountainous Region. IEEE International workshop on Metrology for Agriculture and Forestry, Naples, Italy, October 24 - 26, 2019. (Accepted)
Récupéré sur http://www.cef-cfr.ca/index.php?n=Membres.SiddharthaKhare
Page mise à jour le 22/09/2019 à 21h51 Heure de l'Est (GMT-5)