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13
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Introduction
Soham Mukherjee currently pursues PhD in Ocean Colour Remote Sensing at the Université du Québec à Rimouski. Soham researches on quantifying the parametric uncertainty in the "ill-posed" inverse radiative transfer model in optically complex waters of the Eastern Gulf of the Saint Lawrence river. Soham has a strong interest in Bayesian statistics and Stochastic optimization techniques, especially in Optical Remote Sensing.
Additional affiliations
March 2018 - December 2018
Education
March 2019 - March 2023
September 2015 - March 2017
Publications
Publications (13)
In hydrological optics, “optical closure” means consistency between the apparent optical properties (AOPs) determined from radiometric measurements and those derived from radiative transfer modelling based on concurrently measured inherent optical properties (IOPs) and boundary conditions (sea and sky states). Good optical closure not only provides...
This presentation addresses the vicarious calibration and atmospheric correction of the Watersat Imaging Spectrometer Experiment (WISE) from measuring in situ water-leaving reflectance to validating remotely sensed water-leaving reflectance.
This presentation highlights the importance of system vicarious calibration for airborne imaging spectroscopy. It details the procedure, starting with in situ calculation of water leaving reflectance, modelization of at-sensor reflectance, determination of system vicarious calibration gains, and validation of atmospheric correction.
In hydrological optics, "optical closure" means consistency between the apparent optical properties (AOPs) determined from radiometric measurements and those derived from radiative transfer modelling based on concurrently measured Inherent optical properties (IOPs) and boundary conditions (sea and sky states). Good optical closure not only provides...
Combinaison of optic and acoustic remote sensing to retrieve benthic reflectance for shallow water ecosystem cartography
The study aims to classify the coastline of Manicouagan Peninsula, QC using WaterSat Imaging Experiment (WISE) hyperspectral imagery. A probabilistic pixel-based spectral classification scheme is integrated with contextual spatial pattern regularization using Bayesian MAP approach.
Semi-analytical Radiative Transfer Model for shallow water under development
The night-time lights (NTL) captured by the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) are widely used as proxy for studying human activities. Lack of on-board calibration necessitates inter-calibration of time-series images acquired by different satellites before using them in long-term studies. Pseudo-invari...
Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) night-time images are used to monitor human related temporal and spatial changes on the Earth surface like urbanization and socio-economic activities. But due to lack of on-board calibration these datasets cannot be directly used in the studies as the uncalibrated image...
This paper presents how spatial interpolation techniques
can be used to predict precipitation amount of a certain region and
the variation of precipitation of that area in different seasons
throughout the year: ordinary kriging and regression kriging with
different variogram fitting models are used and assessed in the study.
The techniques have bee...
Questions
Questions (3)
Can anyone please help me in studying about spectral indices and band ratios to detect soil health, moisture or nutrients in agricultural lands? In case of vegetation-related study, I am getting numerous examples but to detect properties (moisture, nitrogen content, phosphorous content, organic carbon) of the soil (non-bare) under agricultural lands, I am not having enough idea. I am working with AVIRIS-NG image.
I am trying to radio-metrically normalize (RRN) DMSP-OLS and VIIRS-DnB acquired data for understanding urban dynamics from 2000 to 2017. A related paper by Shao et al. (2014) mentioned the MT 2009 model for RRN b/w VIIRS-DnB and DMSP-OLS. It was used in the study to find the consistency between VIIRS-DnB acquired radiance and the radiance derived from the MT model with varying lunar phases.
Thus, I want to know how to implement MT 2009 model and also the working principles of MT2009 model.
References:
Shao, X., Cao, C., Zhang, B., Qiu, S., Elvidge, C., & Von Hendy, M. (2014). Radiometric calibration of DMSP-OLS sensor using VIIRS day/night band. SPIE Asia Pacific Remote Sensing, 9264, 92640A.
I need to trace the essential nutrients in soils of Chilika lake situated in Odissa, India. I do have AVIRIS aquired data for the site and also the pure spectra of the nutrients from ground truth collection and it's analysis. Is there any developed indice(s) that will help to identify particular nutrients from the hyper-spectral imagery along with the ground truth as reference?
