Dipankar Mandal

According to our database, Dipankar Mandal authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Evidence Modified Gaussian Process Classifier (EM-GPC) for Crop Classification Using Dual-Polarimetric C- and L- Band SAR Data.

Swarnendu Sekhar Ghosh, Dipankar Mandal, Sandeep Kumar, Narayanarao Bhogapurapu, Biplab Banerjee, Paul Siqueira, Avik Bhattacharya

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Identifying the degree of cornstarch adulteration in turmeric powder using optimized convolutional neural network.

Dipankar Mandal, Debashis Nandi, Bipan Tudu, Arpitam Chatterjee

Intell. Decis. Technol., 2024

Machine learning and fluorosensing for estimation of maize nitrogen status at early growth-stages.

Dipankar Mandal, Rafael Siqueira, Louis Longchamps, Raj Khosla

Comput. Electron. Agric., 2024

Enhancing Crop Type Classification from Multi-Frequency Dual-Pol SAR Data by Probabilistic Fusion of Gaussian Processes.

Swarnendu Sekhar Ghosh, Sandeep Kumar, Avik Bhattacharya, Dipankar Mandal, Biplab Banerjee, Narayanarao Bhogapurapu, Paul Siqueira

Proceedings of the IGARSS 2024, 2024

2022

Assessment of Soil Fertility Using Induced Fluorescence and Machine Learning.

Louis Longchamps, Dipankar Mandal, Raj Khosla

Sensors, 2022

Assessing Nitrogen Variability at Early Stages of Maize Using Mobile Fluorescence Sensing.

Rafael Siqueira, Dipankar Mandal, Louis Longchamps, Raj Khosla

Remote. Sens., 2022

A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder.

Dipankar Mandal, Arpitam Chatterjee, Bipan Tudu

Concurr. Comput. Pract. Exp., 2022

2021

Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data.

Subhadip Dey, Avik Bhattacharya, Debanshu Ratha, Dipankar Mandal, Alejandro C. Frery

IEEE Trans. Geosci. Remote. Sens., 2021

Synergistic Use of TanDEM-X and Landsat-8 Data for Crop-Type Classification and Monitoring.

Subhadip Dey, Ushasi Chaudhuri, Narayanarao Bhogapurapu, Juan M. Lopez-Sanchez, Biplab Banerjee, Avik Bhattacharya, Dipankar Mandal, Yalamanchili Subrahmanyeswara Rao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index.

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

Remote. Sens., 2021

BiophyNet: A Regression Network for Joint Estimation of Plant Area Index and Wet Biomass From SAR Data.

Subhadip Dey, Ushasi Chaudhuri, Dipankar Mandal, Avik Bhattacharya, Biplab Banerjee, Heather McNairn

IEEE Geosci. Remote. Sens. Lett., 2021

PolSAR tools: A QGIS plugin for generating SAR descriptors.

Narayanarao Bhogapurapu, Subhadip Dey, Dipankar Mandal, Avik Bhattacharya, Y. S. Rao

J. Open Source Softw., 2021

Polarimetric SAR Signature for Crop Characterization.

Abhinav Verma, Subhadip Dey, Narayanarao Bhogapurapu, Dipankar Mandal, Dipanwita Haldar, Avik Bhattacharya

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Monitoring Wheat Crop Growth Using a New Vegetation Index from Sentinel-1 GRD SAR Data.

Narayanarao Bhogapurapu, Subhadip Dey, Dipankar Mandal, Avik Bhattacharya, Y. S. Rao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

A Radar Vegetation Index for Crop Monitoring Using Compact Polarimetric SAR Data.

Dipankar Mandal, Debanshu Ratha, Avik Bhattacharya, Vineet Kumar, Heather McNairn, Yalamanchili S. Rao, Alejandro C. Frery

IEEE Trans. Geosci. Remote. Sens., 2020

Crop characterization using an improved scattering power decomposition technique for compact polarimetric SAR data.

Vineet Kumar, Dipankar Mandal, Avik Bhattacharya, Y. S. Rao

Int. J. Appl. Earth Obs. Geoinformation, 2020

In-season crop classification using elements of the Kennaugh matrix derived from polarimetric RADARSAT-2 SAR data.

Subhadip Dey, Dipankar Mandal, Laura Dingle Robertson, Biplab Banerjee, Vineet Kumar, Heather McNairn, Avik Bhattacharya, Y. S. Rao

Int. J. Appl. Earth Obs. Geoinformation, 2020

Vegetation Monitoring Using a New Dual-Pol Radar Vegetation Index: A Preliminary Study with Simulated NASA-ISRO SAR (NISAR) L-Band Data.

Dipankar Mandal, Narayana Rao Bhogapurapu, Vineet Kumar, Subhadip Dey, Debanshu Ratha, Avik Bhattacharya, Juan M. Lopez-Sanchez, Heather McNairn, Y. S. Rao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Non-Model Based Three Component Scattering Power Decomposition for Full Polarimetric SAR Data.

Subhadip Dey, Debanshu Ratha, Dipankar Mandal, Avik Bhattacharya, Alejandro C. Frery

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Soil Moisture Retrieval Using SAR Derived Vegetation Descriptors in Water Cloud Model.

Narayanarao Bhogapurapu, Dipankar Mandal, Y. S. Rao, Avik Bhattacharya

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

A Generalized Volume Scattering Model-Based Vegetation Index From Polarimetric SAR Data.

Debanshu Ratha, Dipankar Mandal, Vineet Kumar, Heather McNairn, Avik Bhattacharya, Alejandro C. Frery

IEEE Geosci. Remote. Sens. Lett., 2019

Joint estimation of Plant Area Index (PAI) and wet biomass in wheat and soybean from C-band polarimetric SAR data.

Dipankar Mandal, Vineet Kumar, Heather McNairn, Avik Bhattacharya, Y. S. Rao

Int. J. Appl. Earth Obs. Geoinformation, 2019

An investigation of inversion methodologies to retrieve the leaf area index of corn from C-band SAR data.

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

Int. J. Appl. Earth Obs. Geoinformation, 2019

A Novel Radar Vegetation Index for Compact Polarimetric SAR Data.

Dipankar Mandal, Avik Bhattacharya, Vineet Kumar, Debanshu Ratha, Subhadip Dey, Heather McNairn, Alejandro C. Frery, Y. S. Rao

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Crop Phenology Classification Using A Representation Learning Network From Sentinel-1 SAR Data.

Subhadip Dey, Dipankar Mandal, Vineet Kumar, Biplab Banerjee, Juan M. Lopez-Sanchez, Heather McNairn, Avik Bhattacharya

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

A Novel Phenology Based Feature Subset Selection Technique Using Random Forest for Multitemporal PolSAR Crop Classification.

Siddharth Hariharan, Dipankar Mandal, Siddhesh Tirodkar, Vineet Kumar, Avik Bhattacharya, Juan Manuel López-Sánchez

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Sen4Rice: A Processing Chain for Differentiating Early and Late Transplanted Rice Using Time-Series Sentinel-1 SAR Data With Google Earth Engine.

Dipankar Mandal, Vineet Kumar, Avik Bhattacharya, Y. S. Rao, Paul Siqueira, Soumen Bera

IEEE Geosci. Remote. Sens. Lett., 2018

Crop Biophysical Parameters Estimation with a Multi-Target Inversion Scheme using the Sentinel-1 SAR Data.

Dipankar Mandal, Vineet Kumar, Avik Bhattacharya, Y. S. Rao, Heather McNairn

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Hybrid and dual linear polarimetric RISAT-1 SAR data for classification assessment.

Vineet Kumar, Dipankar Mandal, Y. S. Rao, Peter Meadows

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Temporal analysis of Touzi parameters for wheat crop characterization using L-band AgriSAR 2006 data.

Soumyashree Kar, Dipankar Mandal, Avik Bhattacharya, J. Adinarayana

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017