J. Mukherjee
Punjab Agricultural University
25 Papers
16 Citations
J. Mukherjee is an academic researcher from Punjab Agricultural University. The author has contributed to research in topics: Environmental science & Medicine. The author has an hindex of 5, co-authored 13 publications.
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Papers
Latent heat flux estimation in clear sky days over Indian agroecosystems using noontime satellite remote sensing data
Kaniska Mallick,Bimal K. Bhattacharya,V. U. M. Rao,D. Raji Reddy,Saon Banerjee,H. Venkatesh,Vyas Pandey,Gouranga Kar,J. Mukherjee,Sarweshwar P. Vyas,Alaka S. Gadgil,N. K. Patel +11 more
TL;DR: In this paper, a simplified evaporative fraction (Λ) based single-source energy balance scheme was tested with moderate resolution (∼1.km) noontime satellite observations to evaluate clear sky latent heat flux (λE) estimates over diverse agricultural landscapes.
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Evapotranspiration using MODIS data and limited ground observations over selected agroecosystems in India
Kaniska Mallick,Bimal K. Bhattacharya,Sasmita Chaurasia,S. Dutta,Rahul Nigam,J. Mukherjee,Saon Banerjee,G. Kar,V. U. M. Rao,Alaka S. Gadgil,Jai Singh Parihar +10 more
TL;DR: In this article, a study was carried out using MODIS TERRA optical and thermal band data and ground observations to estimate evapotranspiration (AET) over agroecosystems in India.
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Ensemble surface soil moisture estimates at farm-scale combining satellite-based optical-thermal-microwave remote sensing observations
Bappa Das,P. S. Rathore,Debasish Roy,Debashis Chakraborty,Bimal K. Bhattacharya,Dipankar Mandal,R. Jatav,Deepak Kumar Sethi,J. Mukherjee,Vinay Kumar Sehgal,Ajay K. Singh +10 more
TL;DR: In this paper , an ensemble of microwave, optical and thermal remote sensing data for fourteen dates spanning two post-monsoon periods over a semi-arid irrigated agricultural farm was developed with gradient boosting machine (GBM).
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Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models
Nandita Mandal,Sujan Adak,D.K. Das,Rabi Narayan Sahoo,J. Mukherjee,A. kumar,Viswanathan Chinnusamy,Bappa Das,Arkadeb Mukhopadhyay,H. Rajashekara,Shalini Gakhar +10 more
TL;DR: In this paper , hyperspectral remote sensing for the characterization and severity assessment of rice blast disease was exploited, and 26 existing spectral indices (r≥ 0.8) were evaluated corresponding to blast severity levels and linear regression prediction models were also developed.
Assessment of data intelligence algorithms in modeling daily reference evapotranspiration under input data limitation scenarios in semi-arid climatic condition.
Jitendra Rajput,Manjusha Singh,Kishore Lal,Manoj Khanna,A. Sarangi,J. Mukherjee,Shrawan Singh +6 more
TL;DR: In this paper , the capability of four machine learning algorithms, namely, XGBoost linear regression (XGBOost Linear), XGBoboard Ensemble Tree, Polynomial Regression (Polynomial Regr), and Isotonic Regr, in modeling daily reference evapotranspiration (ETo) at IARI, New Delhi was assessed.
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