Publications

Book:

  1. D. Mandal, A. Bhattacharya, Y. S. Rao, “Radar Remote Sensing for Crop Biophysical Parameter Estimation”, 1st ed, Springer Singapore, 2021. https://link.springer.com/book/10.1007/978-981-16-4424-5



2. D. Mandal (2016). Concepts of Farm Machinery and Power, Narendra Publishing House, Delhi, India: ISBN-9789386110176. [View]


Book Chapters:

  1. D. Mandal, R. Khosla. (2022). Spatial and temporal variability analysis. In: Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies. Springer, Cham. (In Press)

  2. S. Hariharan, D. Mandal, S. Tirodkar, V. Kumar, A. Bhattacharya. (2022). Multi-frequency Polarimetric SAR Data Analysis for Crop Type Classification using Random Forest, In: M.j Rysz, A. Tsokas, K. M. Dipple, K. L. Fair, P. M. Pardalos (eds) Synthetic Aperture Radar (SAR) Data Applications. Springer, Springer Nature Switzerland AG (In Press).

  3. D. Mandal, V. Kumar, A. Bhattacharya, Y. S. Rao, “Crop LAI and biomass estimation from simulated polarization modes of NISAR data”, In: Vadrevu, K.P., Le Toan, T., Ray, S.S., Justice, C. (eds) Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries. Springer, Cham., 2022, DOI: 10.1007/978-3-030-92365-5_13.

  4. D. Mandal, V. Kumar, Y. S. Rao, H. McNairn, J. M. Lopez-Sanchez, A. Bhattacharya, S. Mitchell, “A processing chain for estimating crop biophysical parameters using multi-temporal Sentinel-1 SAR data in cloud computing framework”, In P. K. Srivastava, D. K. Gupta, R. Prasad, T. Islam, D. Han (Ed.), Radar Remote Sensing, Elsevier, 2022.

  5. D. Mandal, N. Nath and P. K. Sahoo, “Effect of Ultrasonic Pre-treatment on Osmotic Drying of Ashgourd During Murabba Processing,” In D. Guha, B. Chakraborty, H. S. Dutta (Ed.), Computer, Communication, and Electrical Technology: Proceeding of the international conference on advancement of computer communication and electrical technology (ACCET2016), CRC Press, 2017, pp 233-238.

Publications in peer reviewed Journal:

  1. R. Siqueira, D. Mandal, L. Longchamps, and R. Khosla, 2022. Assessing Nitrogen Variability at Early Stages of Maize Using Mobile Fluorescence Sensing. Remote Sensing, 14(20), p.5077.

  2. L. Longchamps, D. Mandal, R. Khosla, "Assessment of Soil Fertility Using Induced Fluorescence and Machine Learning," Sensors, 2022, 22, 4644. https://doi.org/10.3390/s22124644

  3. D. Mandal, V. Kumar, A. Bhattacharya, H. McNairn, Y. S. Rao, “A multi-year cross-validation experiment for estimating rice plant area index (PAI) over the JECAM-India test site from simulated RADARSAT constellation mission (RCM) compact polarimetric SAR data,” International Journal of Remote Sensing, 2021, 42:24, 9515-9547, DOI: 10.1080/01431161.2021.1999528

  4. S. Dey, U. Chaudhuri, N. Bhogapurapu, J. Lopez-Sanchez, B. Banerjee, A. Bhattacharya, D. Mandal, Y. S. Rao, “Synergistic Use of TanDEM-X and Landsat-8 Data for Crop-type Classification and Monitoring,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, DOI: 10.1109/JSTARS.2021.3103911

  5. N. Bhogapurapu, S. Dey, A. Bhattacharya, D. Mandal, J. M. Lopez-Sanchez, H. McNairn, C. López-Martínez, Y. S. Rao, “Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment,” ISPRS Journal of Photogrammetry and Remote Sensing, 178, pp. 20-35, 2021, DOI: 10.1016/j.isprsjprs.2021.05.013.

  6. P. K. Mani, A. Mandal, D. Mandal, M. Irfan, G. C. Hazra, S. Saha, “Assessment of Non-Carcinogenic and Carcinogenic Risks Due to Ingestion of Vegetables Grown Under Sewage Water Irrigated Soils Near a 33 Years Old Landfill Site in Kolkata, India,” Exposure and Health, 2021, DOI: 10.1007/s12403-021-00407-7.

  7. S. Dey, N. Bhogapurapu, A. Bhattacharya, D. Mandal, J. M. Lopez-Sanchez, H. McNairn, A. C. Frery, "Rice phenology mapping using novel target characterization parameters from polarimetric SAR data," International Journal of Remote Sensing, 42:14, 5519-5543, 2021, DOI: 10.1080/01431161.2021.1921876.

  8. M. Hosseini, H. McNairn, S. Mitchell, L. Dingle Robertson, A. Davidson, N. Ahmadian, A. Bhattacharya, E. Borg, C. Conrad, K. Dabrowska-Zielinska, D. de Abelleyra, R. Gurdak, V. Kumar, N. Kussul, D. Mandal, Y. S. Rao, N. Saliendra, A. Shelestov, D, Spengler, S. R. Verón, S. Homayouni, I. Becker-Reshef, "A comparison between Support Vector Machine and Water Cloud Model for estimating crop leaf area index, " Remote Sensing, 13, 1348, 2021. DOI: 10.3390/rs13071348.

  9. S. Dey, A. Bhattacharya, D. Ratha, D. Mandal, H. McNairn, J. M. Lopez-Sanchez, Y.S. Rao, "Novel clustering schemes for full and compact polarimetric SAR data: An application for rice phenology characterization," ISPRS Journal of Photogrammetry and Remote Sensing, 169, pp. 135-151, 2020, DOI: 10.1016/j.isprsjprs.2020.09.010.

  10. D. Mandal, Y. S. Rao, “SASYA: An integrated framework for crop biophysical parameter retrieval and within-season crop yield prediction with SAR remote sensing data,” Remote Sensing Applications: Society and Environment, 20, 2020, DOI: 10.1016/j.rsase.2020.100366

  11. S. Dey, A. Bhattacharya, D. Ratha, D. Mandal, A.C. Frery, “Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data”, IEEE Transactions on Geoscience and Remote Sensing, 2020. DOI: 10.1109/TGRS.2020.3010840

  12. D. Mandal, V. Kumar, D. Ratha, S. Dey, A. Bhattacharya, J. M. Lopez-Sanchez, H. McNairn, Y. S. Rao, “Dual Polarimetric Radar Vegetation Index for Crop Growth Monitoring Using Sentinel-1 SAR Data,” Remote Sensing of Environment, 247: 111954, 2020, DOI:10.1016/j.rse.2020.111954.

  13. S. Dey, U. Chaudhuri, D. Mandal, A.Bhattacharya, B. Banerjee, H. McNairn, “BiophyNet: A Regression Network for Joint Estimation of Crop Biophysical Parameters from SAR Data,” IEEE Geoscience and Remote Sensing Letters, 2020. DOI: 10.1109/LGRS.2020.3008757

  14. V. S. K. Vanama, D. Mandal, Y. S. Rao, “GEE4FLOOD: Rapid mapping of flood areas using temporal Sentinel-1 SAR images with Google Earth Engine cloud platform,” Journal of Applied Remote Sensing, 14(3), 034505, 2020, DOI: 10.1117/1.JRS.14.034505

  15. D. Mandal, V. Kumar, Y. S. Rao, “An assessment of temporal RADARSAT-2 SAR data for crop classification using KPCA based support vector machine,” Geocarto International, 2020, DOI: 10.1080/10106049.2020.1783577.

  16. D. Mandal, D. Ratha, A. Bhattacharya, V. Kumar, H. McNairn, Y. S. Rao, and A. C. Frery, “A Radar Vegetation Index for Crop Monitoring Using Compact Polarimetric SAR Data,” IEEE Transactions on Geoscience and Remote Sensing, 58 (9), pp. 6321-6335, 2020, DOI: 10.1109/TGRS.2020.2976661.

  17. D. Mandal, V. Kumar, D. Ratha, J. M. Lopez-Sanchez, A. Bhattacharya, H. McNairn, Y. S. Rao, and K. V. Ramana, “Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data,” Remote Sensing of Environment, 237: 111561, 2020.

  18. D. Mandal, V. Kumar, H. McNairn, A. Bhattacharya, J. M. Lopez-Sanchez, Y. S. Rao, “Crop Biophysical Parameter Retrieval from Sentinel-1 SAR Data with a Multi-target Inversion Technique,” International Journal of Remote Sensing, 41(14), pp. 5503-5524. 2020.

  19. S. Dey, D. Mandal, L. D. Robertson, B. Banerjee, V. Kumar, H. McNairn, A. Bhattacharya, and Y. S. Rao “In-Season Crop Classification Using Elements of the Kennaugh Matrix Derived from Polarimetric RADARSAT-2 SAR Data,” International Journal of Applied Earth Observations and Geoinformation, 88: 102059, 2020.

  20. V. Kumar, D. Mandal, A. Bhattacharya, and Y. S. Rao, “Crop Characterization Using an Improved Scattering Power Decomposition Technique for Compact Polarimetric SAR Data,” International Journal of Applied Earth Observations and Geoinformation, 88: 102052, 2020.

  21. D. Mandal, M. Hosseini, H. McNairn, V. Kumar, A. Bhattacharya, Y. S. Rao, S. Mitchell, L. Dingle Robertson, A. Davidson, K. Dabrowska-Zielinska, “An Investigation of Inversion Methodologies to Retrieve the Leaf Area Index of Corn from C-Band SAR Data,” International Journal of Applied Earth Observation and Geoinformation, 82: 101893, 2019.

  22. D. Mandal, V. Kumar, H. McNairn, A. Bhattacharya, and Y. S. Rao, “Joint Estimation of Plant Area Index (PAI) and Wet biomass in Wheat and Soybean from C-band Polarimetric SAR Data,” International Journal of Applied Earth Observation and Geoinformation, 79, pp. 24-34, 2019.

  23. D. Ratha, D. Mandal, V. Kumar, H. McNairn, A. Bhattacharya, and A. C. Frery, “A Generalized Volume Scattering Model-Based Vegetation Index From Polarimetric SAR Data,” IEEE Geoscience and Remote Sensing Letters, 16 (11), pp. 1791-1795, 2019. doi:10.1109/LGRS.2019.2907703.

  24. D. Mandal, V. Kumar, A. Bhattacharya, Y. S. Rao, P. Siqueira, S. Bera, “Sen4Rice: A Processing Chain for Differentiating Early and Late Transplanted Rice Using Time-Series Sentinel-1 SAR Data With Google Earth Engine,” IEEE Geoscience and Remote Sensing Letters, 15 (12), pp. 1947-1951, 2018., doi: 10.1109/LGRS.2018.2865816.

  25. S. Hariharan, D. Mandal, S. Tirodkar, V. Kumar, A. Bhattacharya and J. M. Lopez-Sanchez, “A Novel Phenology Based Feature Subset Selection using Random Forest for Multi-temporal PolSAR Crop Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (11), pp. 4244-4258, 2018, doi:10.1109/JSTARS.2018.2866407.

  26. D. Mandal, “Adaptive Neuro-Fuzzy Inference System Based Grading of Basmati Rice Grains Using Image Processing Technique,” Applied System Innovation, 1 (2), pp. 1-19 , 2018, doi: 10.3390/asi1020019.

  27. D. Mandal, “Computer-aided engineering approach for small farm holdings in West Bengal state of India,” Agricultural Engineering International: CIGR Journal, 19 (3), pp. 39-46, 2017.

Technical Report :

  1. D. Mandal, V. Kumar, Y. S. Rao, A. Bhattacharya, K. V. Ramana, ``Experimental Field Campaigns at Vijayawada Test Site," Microwave Remote Sensing Lab, Indian Institute of Technology Bombay, India, Tech. Rep. MRS2019TR02, 2019. doi: 10.17605/OSF.IO/DN3E8

  2. D. Mandal, V. Kumar, A. Bhattacharya, Y. S. Rao, S. Bera, M. K. Nanda, ``SASYA: Experimental Field Campaigns at Bardhaman Test Site," Microwave Remote Sensing Lab, Indian Institute of Technology Bombay, India, Tech. Rep. MRS2019TR01, 2018. doi: 10.17605/OSF.IO/E569H

International/ National Conference Proceedings :

  1. Mandal, D., Siqueira, R., Longchamps, L., and Khosla, R. (2022). Machine learning techniques for early identification of nitrogen variability in maize. In Proceedings of the 15th International Conference on Precision Agriculture (unpaginated, online). Monticello, IL: International Society of Precision Agriculture.

  2. S. Dey, N. Bhogapurapu, A. Bharracharya, D. Mandal, H. McNairn and Y. S. Rao, "Novel Clustering Technique for Monitoring Crop Phenology Using SAR Data," 2021 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2021, pp. 1-6, doi: 10.1109/APSAR52370.2021.9688426.

  3. A. Verma, S. Dey, N. Bhogapurapu, D. Mandal, D. Haldar, A. Bhattacharya, “Polarimetric SAR Signature For Crop Characterization,” IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2021, Virtual Conference, 2021, pp. 503-506.

  4. N. Bhogapurapu, S. Dey, D. Mandal, A. Bhattacharya, Y. S. Rao, “Monitoring Wheat Crop Growth Using A New Vegetation Index From Sentinel-1 GRD SAR Data,” IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2021, Virtual Conference, 2021, pp. 5921-5924.

  5. N. Bhogapurapu, D. Mandal, Y. S. Rao and A. Bhattacharya, "Soil Moisture Estimation for Wheat Crop Using Dual-Pol L-Band SAR Data," 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), Ahmedabad, India, 2020, pp. 33-36, doi: 10.1109/InGARSS48198.2020.9358940.

  6. D. Mandal, N. R. Bhogapurapu, V. Kumar, S. Dey, D. Ratha, A. Bhattacharya, J. M. Lopez Sanchez, H. McNairn and Y. S. Rao, "Vegetation Monitoring Using a New Dual-Pol Radar Vegetation Index: A Preliminary Study with Simulated NASA-ISRO SAR (NISAR) L-Band Data," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, USA, 2020, pp. 4870-4873, doi: 10.1109/IGARSS39084.2020.9324157.

  7. N. Bhogapurapu, D. Mandal, Y. S. Rao and A. Bhattacharya, "Soil Moisture Retrieval Using SAR Derived Vegetation Descriptors in Water Cloud Model," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, USA, 2020, pp. 4696-4699, doi: 10.1109/IGARSS39084.2020.9323699.

  8. S. Dey, D. Ratha, D. Mandal, A. Bhattacharya and A. C. Frery, "A Non-Model Based Three Component Scattering Power Decomposition for Full Polarimetric SAR Data," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, USA, 2020, pp. 7021-7024, doi: 10.1109/IGARSS39084.2020.9323495.

  9. D. Ratha, D. Mandal, S. Dey, A. Bhattacharya, A. C. Frery, Y. S. Rao, H. McNairn, "New Vegetation Indices For Full And Compact Polarimetric Sar Data: In Preparation For The Radarsat Constellation Mission (RCM)," in 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), Santiago, Chile, 2020, pp. 465-470, DOI: 10.1109/LAGIRS48042.2020.9165685.

  10. D. Mandal, A. Bhattacharya, V. Kumar, D. Ratha, S. Dey, H. McNairn and A. C. Frery, Y. S. Rao, “A Novel Radar Vegetation Index for Compact Polarimetric SAR data,” 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, pp. 1037-1040, DOI: 10.1109/IGARSS.2019.8898022.

  11. S. Dey, D. Mandal, V. Kumar, B. Banerjee, J. M. Lopez Sanchez, H. McNairn, A. Bhattacharya, "Crop Phenology Classification Using A Representation Learning Network From Sentinel-1 SAR Data," 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, pp. 7184-7187, doi: 10.1109/IGARSS.2019.8900389.

  12. D. Mandal, V. Kumar, Y. S. Rao, A. Bhattacharya, S. Bera, M. K. Nanda, “Combined Analysis of RADARSAT-2 SAR and Sentinel-2 Optical Data for Improved Monitoring of Tuber Initiation Stage of Potato,” ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS TC V Mid-term Symposium, Dehradun, India, Volume XLII-5, 2018, pp.275-279, DOI: 10.5194/isprs-archives-XLII-5-275-2018.

  13. P. Ghosh, D. Mandal, A. Bhattacharya, M. K. Nanda, S. Bera, “Assessing Crop Monitoring Potential of Sentinel-2 in a Spatio-temporal Scale,” ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS TC V Mid-term Symposium, Dehradun, India, Volume XLII-5, 2018, pp. 227-231, DOI: 10.5194/isprs-archives-XLII-5-227-2018.

  14. D. Mandal, V. Kumar, A. Bhattacharya, Y. S. Rao, H. McNairn, “Crop Biophysical Parameters Estimation with a Multi-Target Inversion Scheme using the Sentinel-1 SAR Data,” 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018, pp. 6611-6614, DOI: 10.1109/IGARSS.2018.8518700.

  15. D. Mandal, V. Kumar, A. Bhattacharya, Y. S. Rao, “Monitoring Rice Crop using Time Series Sentinel-1 Data in Google Earth Engine Platform,” 38th Asian Conference on Remote Sensing (ACRS 2017), New Delhi, India, 2017, Paper ID: 624, pp. 1-6, Link: https://a-a-r-s.org/proceeding/ACRS2017/ID_5_749/624.pdf

  16. V. Kumar, D. Mandal, and Y. S. Rao, “Comparison of Hybrid-Pol Descriptors from Multi-sensor Polarimetric SAR Data,” 38th Asian Conference on Remote Sensing (ACRS 2017), New Delhi, India, 2017, Paper ID: 600, pp.1-6, Link: https://a-a-r-s.org/proceeding/ACRS2017/ID_5_749/600.pdf

  17. V. Kumar, D. Mandal, Y. S. Rao, and P. Meadows, “Hybrid and dual linear polarimetric RISAT-1 SAR data for classification assessment,” 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Texas, USA, 2017, pp.1028-1031, DOI: 10.1109/IGARSS.2017.8127130.

  18. S. Kar, D. Mandal, A. Bhattacharya, and J. Adinarayana, “Temporal analysis of Touzi parameters for wheat crop characterization using L-band AgriSAR 2006 data,” 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Texas, USA, 2017, pp.3909-3912, DOI: 10.1109/IGARSS.2017.8127855.

  19. D. Mandal, N. Nath, and P.K. Sahoo, “Effect of ultrasonic pre-treatment on osmotic drying of ash gourd during Murabba processing,” International Conference on Advancement of Computer Communication and Electrical Technology, West Bengal, India, 2016, pp. 11-16, DOI: 10.1201/9781315400624-45.

Conferences/Workshop Presentations :

  1. M. Hosseini, H. McNairn, S. Mitchell, L. Dingle Robertson, A. Davidson, A. de Diego, S. Verón, N. Ahmadian, C. Conrad, V. Kumar, D. Mandal, A. Bhattacharya, Y. S. Rao, K. Dabrowska-Zielinska, A. Shelestov, N. Kussul, N. Saliendra, “Crop Leaf Area Index Estimation at Global Scale Using Synthetic Aperture Radar,” Advanced SAR (ASAR) Workshop 2019, Canadian Space Agency, Quebec, Canada, 2019.

  2. D. Mandal, V. Kumar, and Y. S. Rao, “Winter Barley Biophysical Parameters Retrieval using Multi-output Support Vector Regression from Polarimetric SAR Data,” ESA POLinSAR 2017, Rome, Italy, 2017.

  3. D. Mandal, V. Kumar, and Y. S. Rao, “Kernel-PCA based Support Vector Machine for Multi-temporal Crop Classification using RADARSAT-2 Data,” National Symposium, Indian Society of Remote Sensing and Indian Society of Geomatics ISRS 2016, Dehradun, India, 2016.

Invited Presentations :

  1. D. Mandal, "Polarimetric SAR – Practice Session", IEEE GRSS IADF School on Computer Vision for Earth Observation, 7 October, Italy.

  2. A. Bhattacharya, D. Mandal, “Polarimetric SAR Imaging: Theory and Applications”, Spring School 2021 on Advanced remote sensing techniques for risk management, Comisión Nacional de Actividades Espaciales (CONAE), 22 September 2021, Córdoba, Argentina.

  3. D. Mandal, “Best practices in radar remote sensing for geo and biophysical parameter retrieval over cropland,” Online Lecture Series on Remote Sensing of Soil Moisture, Indian Agricultural Research Institute, 20 March 2021, New Delhi, India.

  4. D. Mandal, “Geospatial technologies in precision agriculture: from concepts to applications,” Online workshop on Innovative Research Trends in Contemporary Geography, by Department of Geography, East Calcutta Girls’ College, July 2020, Kolkata, India.

  5. D. Mandal, H. McNairn, S. Mitchell, V. Kumar, Y. S. Rao and A. Bhattacharya, “Estimation of crop biophysical parameters using Polarimetric Synthetic Aperture Radar (SAR) Remote Sensing Data. 50 Years of Canada-India Partnership: The Shastri Institute,” Parliamentary Event in Ottawa, Canada on 26 November 2018. https://twitter.com/siciio/status/1067204322491019264

  6. V. Kumar, D. Mandal, A. Bhattacharya, and Y. S. Rao, “JECAM Site-India: Status, Earth Observation Technologies for Crop Monitoring,” Workshop to Promote Collaborations among GEOGLAM/ JECAM/ Asia-RiCE on 17-20 September 2018, Taichung City, Taiwan.

  7. D. Mandal, V. Kumar, A. Bhattacharya, and Y. S. Rao, “JECAM SAR Inter-comparison Experiment-India,” JECAM Special Event during IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2018, Valencia, Spain.

  8. D. Mandal, and V. Kumar, “Technical talk and practical demonstration on Remote Sensing Data Processing,” Recent Advances and Challenges in Engineering and Management (RACEM) 2017, Vidyalankar Institute of Technology, Mumbai, India.

Media Coverage of Research:

  1. D. Mandal. A. Bhattacharya, Y. S. Rao, 'Trilogy of Vegetation Indices: Unlocking the Potential to Map Crop Condition with Radar Polarimetry', Spectrum ISPRS-SC Newsletter, Vol. 14, No. 3, pp. 9-10, 2020. http://sc.isprs.org/files/sc/newsletter/ISPRS%20SC_Vol14_No3.pdf

  2. Machine learning helps monitor crop growth, Research Matters, Mumbai, Jun 8, 2020. https://researchmatters.in/news/machine-learning-helps-monitor-crop-growth