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Deep Inamdar
Deep Inamdar
Verified email at mail.mcgill.ca
Title
Cited by
Cited by
Year
Implementation of a UAV–hyperspectral pushbroom imager for ecological monitoring
JP Arroyo-Mora, M Kalacska, D Inamdar, R Soffer, O Lucanus, J Gorman, ...
Drones 3 (1), 12, 2019
862019
Estimating peatland water table depth and net ecosystem exchange: A comparison between satellite and airborne imagery
M Kalacska, JP Arroyo-Mora, RJ Soffer, NT Roulet, TR Moore, ...
Remote Sensing 10 (5), 687, 2018
532018
Airborne Hyperspectral Evaluation of Maximum Gross Photosynthesis, Gravimetric Water Content, and CO2 Uptake Efficiency of the Mer Bleue Ombrotrophic …
JP Arroyo-Mora, M Kalacska, RJ Soffer, TR Moore, NT Roulet, S Juutinen, ...
Remote Sensing 10 (4), 565, 2018
292018
Characterizing and mitigating sensor generated spatial correlations in airborne hyperspectral imaging data
D Inamdar, M Kalacska, G Leblanc, JP Arroyo-Mora
Remote Sensing 12 (4), 641, 2020
262020
The correlation coefficient as a simple tool for the localization of errors in spectroscopic imaging data
D Inamdar, G Leblanc, RJ Soffer, M Kalacska
Remote Sensing 10 (2), 231, 2018
112018
The directly-georeferenced hyperspectral point cloud: preserving the integrity of hyperspectral imaging data
D Inamdar, M Kalacska, JP Arroyo-Mora, G Leblanc
Frontiers in Remote Sensing 2, 675323, 2021
102021
Remotely sensed carbon content: The role of tree composition and tree diversity
CIB Wallis, AL Crofts, D Inamdar, JP Arroyo-Mora, M Kalacska, É Laliberté, ...
Remote Sensing of Environment 284, 113333, 2023
92023
Implementation of the directly-georeferenced hyperspectral point cloud
D Inamdar, M Kalacska, G Leblanc, JP Arroyo-Mora
MethodsX 8, 101429, 2021
52021
Implementation of a UAV–Hyperspectral Pushbroom Imager for Ecological Monitoring. Drones 3, 12
JP Arroyo-Mora, M Kalacska, D Inamdar, R Soffer, O Lucanus, J Gorman, ...
52019
Water column compensation workflow for hyperspectral imaging data
D Inamdar, GSL Rowan, M Kalacska, JP Arroyo-Mora
MethodsX 9, 101601, 2022
42022
Spatial response resampling (SR2): Accounting for the spatial point spread function in hyperspectral image resampling
D Inamdar, M Kalacska, PO Darko, JP Arroyo-Mora, G Leblanc
MethodsX 10, 101998, 2023
32023
Multi-scale spectral separability of submerged aquatic vegetation species in a freshwater ecosystem
GSL Rowan, M Kalacska, D Inamdar, JP Arroyo-Mora, R Soffer
Frontiers in Environmental Science 9, 760372, 2021
32021
Towards the Improvement of Hyperspectral Imaging Data: Limitations of the Raster Model and the Development of a Novel Point Cloud Data Format
D Inamdar
McGill University (Canada), 2022
2022
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