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1.
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Khare, S., Latifi, H. and Ghosh, S. K.
(2017).
Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data.
Geocarto International. DOI:
10.1080/10106049.2017.1289562
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2.
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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. DOI:
10.1080/01431161.2017.1320450
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3.
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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. DOI:
10.3390/f10070540
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4.
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Khare, S., Drolet, G., Sylvain, J. D., Paré, M. C. and Rossi, S.
(2019).
Assessment of Spatio-Temporal Patterns of Black Spruce Bud Phenology across Quebec Based on MODIS-NDVI Time Series and Field Observations.
Remote Sensing. DOI:
10.3390/rs11232745
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5.
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Khare, S., Latifi, H. and Rossi, S.
(2019).
Forest beta-diversity analysis by remote sensing: How scale and sensors affect the Rao's Q index.
Ecological Indicators. DOI:
10.1016/j.ecolind.2019.105520
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6.
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Jain, P., Khare S., Sylvain, J. D., Patricia, R. and Rossi, S.
(2020).
Predicting the Location of Maple Habitat under Warming Scenarios in Two Regions at the Northern Range in Canada.
Forest Science. DOI:
10.1093/forsci/fxab012
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7.
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Khare, S., Latifi, H. and Rossi, S.
(2020).
A 15-year spatio-temporal analysis of plant β-diversity using Landsat time series derived Rao's Q index.
Ecological indicators. DOI:
10.1016/j.ecolind.2020.107105
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8.
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Silva, J. R. D., Rossi, S., Khare S., Longui, E. L. and Marcati, C. R.
(2020).
Disentangling the effects of genotype and 2 environment on growth and wood features of Balfourodendron riedelianum trees by common 4 garden experiments in Brazil.
Forests. DOI:
10.3390/f11090905
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9.
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Guo, X., Khare, S., Silvestro, R., Huang, J., Sylvain, J. D., Delagrange, S. and Rossi, S.
(2020).
Minimum spring temperatures at the provenance origin drive leaf phenology in sugar maple populations.
Tree Physiology. DOI:
10.1093/treephys/tpaa096
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10.
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Zhang, S., Buttò, V., Khare, S., Deslauriers, A., Morin, H., Huang, J. G., Ren, H. and Rossi, S.
(2020).
Calibrating phenocam data with phenological observations in black spruce.
Canadian Journal of Remote sensing. DOI:
10.1080/07038992.2020.1761251
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11.
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Khare, S., Latifi, H. and Khare, S.
(2021).
Vegetation Growth Analysis of UNESCO World Heritage Hyrcanian Forests Using Multi-Sensor Optical Remote Sensing Data.
Remote Sensing. DOI:
10.3390/rs13193965
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12.
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Buttò, V., Khare, S., Drolet, G., Sylvain, J. D., Gennaretti, F., Deslauriers, A., Morin, H. and Rossi, S.
(2021).
Regionwide temporal gradients of carbon allocation allow for shoot growth and latewood formation in boreal black spruce.
Global Ecology and Biogeography. DOI:
10.1111/geb.13340
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13.
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Buttò V., Khare S., Jain P., Santos G. L. and Rossi S.,
(2022).
Spatial patterns and climatic drivers of leaf spring phenology of maple in eastern North America.
Science of The Total Environment. DOI:
10.1016/j.scitotenv.2022.159064
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14.
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Khare, S., Deslauriers, A., Morin, H., Latifi, H. and Rossi, S.
(2022).
Comparing time-lapse PhenoCams with Satellite observations across the boreal forest of Quebec, Canada.
Remote Sensing. DOI:
10.3390/rs14010100
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15.
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Marty, C., Khare, S., Rossi, S., Lafond, J., Boivin, M. and Paré, M.
(2022).
Detection of management practices and cropping phases in wild lowbush blueberry (Vaccinium angustifolium Ait.) fields using high spatial resolution multispectral UAV data.
Canadian Journal of Remote Sensing. DOI:
10.1080/07038992.2022.2070144
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16.
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Xiaoxia Li, Suyash Khare, Siddhartha Khare, Nan Jiang, Eryuan Liang, Annie Deslauriers, Sergio Rossi
(2023).
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest.
Ecological Informatics. DOI:
https://doi.org/10.1016/j.ecoinf.2023.102149
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