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Siddhartha Khare
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Year
Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data
S Khare, H Latifi, SK Ghosh
Geocarto international 33 (7), 681-698, 2018
422018
Forest beta-diversity analysis by remote sensing: How scale and sensors affect the Rao’s Q index
S Khare, H Latifi, S Rossi
Ecological Indicators 106, 2019
382019
Assessment of Spatio-Temporal Patterns of Black Spruce Bud Phenology across Quebec Based on MODIS-NDVI Time Series and Field Observations
S Khare, G Drolet, JD Sylvain, MC Paré, S Rossi
Remote Sensing 11 (23), 2745, 2019
282019
Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data
S Khare, SK Ghosh, H Latifi, S Vijay, T Dahms
International journal of remote sensing 38 (15), 4418-4442, 2017
212017
Vegetation growth analysis of UNESCO World Heritage Hyrcanian forests using multi-sensor optical remote sensing data
S Khare, H Latifi, S Khare
Remote Sensing 13 (19), 3965, 2021
172021
Minimum spring temperatures at the provenance origin drive leaf phenology in sugar maple populations
X Guo, S Khare, R Silvestro, J Huang, JD Sylvain, S Delagrange, S Rossi
Tree Physiology 40 (12), 1639-1647, 2020
152020
Regionwide temporal gradients of carbon allocation allow for shoot growth and latewood formation in boreal black spruce
V Buttò, S Khare, G Drolet, JD Sylvain, F Gennaretti, A Deslauriers, ...
Global Ecology and Biogeography, 00:1–14, 2021
142021
Satellite remote sensing technologies for biodiversity monitoring and its conservation
S Khare, S Ghosh
International Journal of Advanced Earth Science and Engineering 5 (1), 375-389, 2016
142016
Comparing time-lapse PhenoCams with satellite observations across the boreal forest of Quebec, Canada
S Khare, A Deslauriers, H Morin, H Latifi, S Rossi
Remote Sensing 14 (1), 100, 2021
132021
A 15-year spatio-temporal analysis of plant β-diversity using Landsat time series derived Rao’s Q index
S Khare, H Latifi, S Rossi
Ecological Indicators, 107105, 2020
132020
Fractional Cover Mapping of Invasive Plant Species by Combining Very High-Resolution Stereo and Multi-Sensor Multispectral Imageries
S Khare, H Latifi, S Rossi, SK Ghosh
Forests 10 (7), 540, 2019
112019
Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand
S Zhang, V Buttò, S Khare, A Deslauriers, H Morin, JG Huang, H Ren, ...
Canadian Journal of Remote Sensing, 2020
102020
Phenology analysis of forest vegetation to environmental variables during pre-and post-monsoon seasons in western Himalayan region of India
S Khare, H Latifi, K Ghosh
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016
82016
Detection of management practices and cropping phases in wild lowbush blueberry fields using multispectral UAV data
C Marty, S Khare, S Rossi, J Lafond, M Boivin, MC Paré
Canadian Journal of Remote Sensing 48 (3), 469-480, 2022
62022
Predicting the Location of Maple Habitat under Warming Scenarios in Two Regions at the Northern Range in Canada
J Pratiksha, K Siddhartha, S Jean-Daniel, P Raymond, R Sergio
Forest Science, 1-11, 2021
6*2021
Disentangling the Effects of Genotype and Environment on Growth and Wood Features of Balfourodendron riedelianum Trees by Common Garden Experiments in Brazil
J Rodrigues da Silva, S Rossi, S Khare, E Luiz Longui, C Regina Marcati
Forests 11 (9), 905, 2020
52020
An optimized Enhanced Vegetation Index for Sparse Tree Cover Mapping across a Mountainous Region
SA Fakhri, S Sayadi, H Latifi, S Khare
2019 IEEE International Workshop on Metrology for Agriculture and Forestry …, 2019
32019
Linking phenocam derived phenology with field observations in the boreal forest
S Rossi, S Zhang, A Deslauries, V Butto, H Morin, JG Huang, H Ren, ...
2019 IEEE International Workshop on Metrology for Agriculture and Forestry …, 2019
32019
Phenology analysis of moist deciduous forest using time series Landsat-8 remote sensing data
S Khare, S Rossi
2019 IEEE International Workshop on Metrology for Agriculture and Forestry …, 2019
32019
Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada
T Sharma, A Chehri, I Fofana, S Jadhav, S Khare, B Debaque, N Duclos, ...
IEEE Access, 2024
12024
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