Dipankar Mandal

34 papers C 11Misc 1Journal 22
YearRankTypeTitle / Venue / Authors
2026 Misc conf
MaSVet: A Flexible Framework for Statistical Modelling and Synthesis of Macroscopic Vehicular Trajectory Datasets.
VLSID
Dipankar Mandal, Arnab Sarkar, Arijit Mondal
2025 J jnl
A Discrete Partial Charging Enabled Dynamic Programming Strategy for Optimal Fixed-Route Electric Vehicle Charging.
ACM Trans. Embed. Comput. Syst.
Dipankar Mandal, Arnab Sarkar, Arijit Mondal
2025 J jnl
A Dual-Pol SAR-Based Index for Rice Transplantation Detection.
IEEE Geosci. Remote. Sens. Lett.
Abhinav Verma, Avik Bhattacharya, Dipankar Mandal, Carlos López-Martínez, Paolo Gamba
2025 J jnl
Algorithmically Enhanced Wearable Multimodal Emotion Sensor.
Adv. Intell. Syst.
Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau
2024 J jnl
An Evidence Modified Gaussian Process Classifier (EM-GPC) for Crop Classification Using Dual-Polarimetric C- and L- Band SAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Swarnendu Sekhar Ghosh, Dipankar Mandal, Sandeep Kumar, Narayanarao Bhogapurapu, Biplab Banerjee, Paul Siqueira, Avik Bhattacharya
2024 C conf
Enhancing Crop Type Classification from Multi-Frequency Dual-Pol SAR Data by Probabilistic Fusion of Gaussian Processes.
IGARSS
Swarnendu Sekhar Ghosh, Sandeep Kumar, Avik Bhattacharya, Dipankar Mandal, Biplab Banerjee, Narayanarao Bhogapurapu, Paul Siqueira
2024 J jnl
Identifying the degree of cornstarch adulteration in turmeric powder using optimized convolutional neural network.
Intell. Decis. Technol.
Dipankar Mandal, Debashis Nandi, Bipan Tudu, Arpitam Chatterjee
2024 J jnl
Machine learning and fluorosensing for estimation of maize nitrogen status at early growth-stages.
Comput. Electron. Agric.
Dipankar Mandal, Rafael Siqueira, Louis Longchamps, Raj Khosla
2022 J jnl
A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder.
Concurr. Comput. Pract. Exp.
Dipankar Mandal, Arpitam Chatterjee, Bipan Tudu
2022 J jnl
Assessing Nitrogen Variability at Early Stages of Maize Using Mobile Fluorescence Sensing.
Remote. Sens.
Rafael Siqueira, Dipankar Mandal, Louis Longchamps, Raj Khosla
2022 J jnl
Assessment of Soil Fertility Using Induced Fluorescence and Machine Learning.
Sensors
Louis Longchamps, Dipankar Mandal, Raj Khosla
2021 J jnl
A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index.
Remote. Sens.
Mehdi Hosseini, Heather McNairn, Scott W. Mitchell, Laura Dingle Robertson, Andrew A. Davidson, Nima Ahmadian, Avik Bhattacharya, Erik Borg, Christopher Conrad, Katarzyna Dabrowska-Zielinska, Diego de Abelleyra, Radoslaw Gurdak, Vineet Kumar, Nataliia Kussul, Dipankar Mandal, Y. S. Rao, Nicanor Saliendra, Andrii Shelestov, Daniel Spengler, Santiago R. Verón, Saeid Homayouni, Inbal Becker-Reshef
2021 J jnl
BiophyNet: A Regression Network for Joint Estimation of Plant Area Index and Wet Biomass From SAR Data.
IEEE Geosci. Remote. Sens. Lett.
Subhadip Dey, Ushasi Chaudhuri, Dipankar Mandal, Avik Bhattacharya, Biplab Banerjee, Heather McNairn
2021 C conf
Monitoring Wheat Crop Growth Using a New Vegetation Index from Sentinel-1 GRD SAR Data.
IGARSS
Narayanarao Bhogapurapu, Subhadip Dey, Dipankar Mandal, Avik Bhattacharya, Y. S. Rao
2021 J jnl
PolSAR tools: A QGIS plugin for generating SAR descriptors.
J. Open Source Softw.
Narayanarao Bhogapurapu, Subhadip Dey, Dipankar Mandal, Avik Bhattacharya, Y. S. Rao
2021 C conf
Polarimetric SAR Signature for Crop Characterization.
IGARSS
Abhinav Verma, Subhadip Dey, Narayanarao Bhogapurapu, Dipankar Mandal, Dipanwita Haldar, Avik Bhattacharya
2021 J jnl
Synergistic Use of TanDEM-X and Landsat-8 Data for Crop-Type Classification and Monitoring.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Subhadip Dey, Ushasi Chaudhuri, Narayanarao Bhogapurapu, Juan M. Lopez-Sanchez, Biplab Banerjee, Avik Bhattacharya, Dipankar Mandal, Yalamanchili Subrahmanyeswara Rao
2021 J jnl
Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data.
IEEE Trans. Geosci. Remote. Sens.
Subhadip Dey, Avik Bhattacharya, Debanshu Ratha, Dipankar Mandal, Alejandro C. Frery
2020 C conf
A Non-Model Based Three Component Scattering Power Decomposition for Full Polarimetric SAR Data.
IGARSS
Subhadip Dey, Debanshu Ratha, Dipankar Mandal, Avik Bhattacharya, Alejandro C. Frery
2020 J jnl
A Radar Vegetation Index for Crop Monitoring Using Compact Polarimetric SAR Data.
IEEE Trans. Geosci. Remote. Sens.
Dipankar Mandal, Debanshu Ratha, Avik Bhattacharya, Vineet Kumar, Heather McNairn, Yalamanchili S. Rao, Alejandro C. Frery
2020 J jnl
Crop characterization using an improved scattering power decomposition technique for compact polarimetric SAR data.
Int. J. Appl. Earth Obs. Geoinformation
Vineet Kumar, Dipankar Mandal, Avik Bhattacharya, Y. S. Rao
2020 J jnl
In-season crop classification using elements of the Kennaugh matrix derived from polarimetric RADARSAT-2 SAR data.
Int. J. Appl. Earth Obs. Geoinformation
Subhadip Dey, Dipankar Mandal, Laura Dingle Robertson, Biplab Banerjee, Vineet Kumar, Heather McNairn, Avik Bhattacharya, Y. S. Rao
2020 C conf
Soil Moisture Retrieval Using SAR Derived Vegetation Descriptors in Water Cloud Model.
IGARSS
Narayanarao Bhogapurapu, Dipankar Mandal, Y. S. Rao, Avik Bhattacharya
2020 C conf
Vegetation Monitoring Using a New Dual-Pol Radar Vegetation Index: A Preliminary Study with Simulated NASA-ISRO SAR (NISAR) L-Band Data.
IGARSS
Dipankar Mandal, Narayana Rao Bhogapurapu, Vineet Kumar, Subhadip Dey, Debanshu Ratha, Avik Bhattacharya, Juan M. Lopez-Sanchez, Heather McNairn, Y. S. Rao
2019 J jnl
A Generalized Volume Scattering Model-Based Vegetation Index From Polarimetric SAR Data.
IEEE Geosci. Remote. Sens. Lett.
Debanshu Ratha, Dipankar Mandal, Vineet Kumar, Heather McNairn, Avik Bhattacharya, Alejandro C. Frery
2019 C conf
A Novel Radar Vegetation Index for Compact Polarimetric SAR Data.
IGARSS
Dipankar Mandal, Avik Bhattacharya, Vineet Kumar, Debanshu Ratha, Subhadip Dey, Heather McNairn, Alejandro C. Frery, Y. S. Rao
2019 J jnl
An investigation of inversion methodologies to retrieve the leaf area index of corn from C-band SAR data.
Int. J. Appl. Earth Obs. Geoinformation
Dipankar Mandal, Mehdi Hosseini, Heather McNairn, Vineet Kumar, Avik Bhattacharya, Y. S. Rao, Scott W. Mitchell, Laura Dingle Robertson, Andrew A. Davidson, Katarzyna Dabrowska-Zielinska
2019 C conf
Crop Phenology Classification Using A Representation Learning Network From Sentinel-1 SAR Data.
IGARSS
Subhadip Dey, Dipankar Mandal, Vineet Kumar, Biplab Banerjee, Juan M. Lopez-Sanchez, Heather McNairn, Avik Bhattacharya
2019 J jnl
Joint estimation of Plant Area Index (PAI) and wet biomass in wheat and soybean from C-band polarimetric SAR data.
Int. J. Appl. Earth Obs. Geoinformation
Dipankar Mandal, Vineet Kumar, Heather McNairn, Avik Bhattacharya, Y. S. Rao
2018 J jnl
A Novel Phenology Based Feature Subset Selection Technique Using Random Forest for Multitemporal PolSAR Crop Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Siddharth Hariharan, Dipankar Mandal, Siddhesh Tirodkar, Vineet Kumar, Avik Bhattacharya, Juan Manuel López-Sánchez
2018 C conf
Crop Biophysical Parameters Estimation with a Multi-Target Inversion Scheme using the Sentinel-1 SAR Data.
IGARSS
Dipankar Mandal, Vineet Kumar, Avik Bhattacharya, Y. S. Rao, Heather McNairn
2018 J jnl
Sen4Rice: A Processing Chain for Differentiating Early and Late Transplanted Rice Using Time-Series Sentinel-1 SAR Data With Google Earth Engine.
IEEE Geosci. Remote. Sens. Lett.
Dipankar Mandal, Vineet Kumar, Avik Bhattacharya, Y. S. Rao, Paul Siqueira, Soumen Bera
2017 C conf
Hybrid and dual linear polarimetric RISAT-1 SAR data for classification assessment.
IGARSS
Vineet Kumar, Dipankar Mandal, Y. S. Rao, Peter Meadows
2017 C conf
Temporal analysis of Touzi parameters for wheat crop characterization using L-band AgriSAR 2006 data.
IGARSS
Soumyashree Kar, Dipankar Mandal, Avik Bhattacharya, J. Adinarayana