Dr. Dipankar Mandal
Assistant Professor
School of Agro and Rural Technology (SART)
Indian Institute of Technology Guwahati
Guwahati, Assam - 781039, India
Tel (O) : +91-361-258-3794
E-mail : dmandal@iitg.ac.in
Website : https://fac.iitg.ac.in/dmandal/
Lab: Agro-geoinformatics Laboratory | कृषि-भू सूचना प्रयोगशाला
Education
- M.Tech + Ph.D. Dual Degree (2020): Geoinformatics and Natural Resources Engineering,
Institute: Indian Institute of Technology Bombay, Mumbai, India.
Thesis title: Retrieval of biophysical parameters for agricultural crops using polarimetric SAR data.
Advisors: Prof. Y. S. Rao and Prof. Avik Bhattacharya. - B. Tech (2015): Agricultural Engineering,
Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, India.
Thesis title: Modelling of ultrasound assisted osmotic dehydration of Ashgouard (Benincasa hispida) during murabba processing.
Advisor: Prof. P. K. Sahoo. - Higher secondary (10+2) Science (2011):
Chakdaha Ramlal Academy, West Bengal, India.
Experience
- Assistant Professor (2024 - present): School of Agro and Rural Technology, IIT Guwahati, Assam, India.
- Postdoctoral Fellow (2021-2024): Department of Agronomy, Kansas State University, Kansas, USA.
- Visiting Researcher (2018-2019): Agriculture and Agri-Food Canada, Ottawa, Canada.
- Visiting Researcher (2018-2019): Carleton University | Geomatics and Landscape Ecology Laboratory, Ottawa, Canada.
- Digital agriculture and advanced analytics, nitrogen management, proximal sensing, IoT in Agriculture, UAV
- Model Inversion, Biophysical parameter estimation, Crop classification, Machine learning applications.
- SAR Polarimetry, Scattering models, Quad and Compact polarimetry.
- Geospatial Technology for agricultural applications.
- Title: EODSys4Crops : Real-Time Crop Monitoring using new Generation Earth Observation Data and Dynamic System Theory.
Financial Support: Start-Up Grant, Indian Institute of Technology Guwahati.
Year: 2025-2027.
Responsibility: Principal Investigator (PI). - Title: Early Stage Leaf Nitrogen detection using PRISMA dataset.
Data Support: Italian Space Agency (ASI).
Year: 2025-2027.
Responsibility: Principal Investigator (PI). - Title: Crop monitoring with high resolution Planet Scope data.
Data Support: Planet Labs (Planet Labs Education and Research Program grant)
Year: 2024-2026.
Responsibility: Principal Investigator (PI).
- Indian Institute of Technology Bombay, Mumbai, India.
- Kansas State University, Manhattan, Kansas, USA.
- Agriculture and AgriFood Canada (AAFC), Ottawa, Canada
- University of Alicante, Spain.
Teaching
PG Course
- RT508: Geospatial Technologies in Agro-Rural Sector (Monsoon 2025)
- RT509: Social and Rural Immersion (Winter 2025)
- RT520: Field work and communication (Winter 2025)
- RT510: Research Methodology & Quantitative Techniques for Rural Development (Monsoon 2024)
- RT523: Rural Technology and Development (Monsoon 2024)
Academic Supervision
PhD Thesis - Ongoing
- Mr. Manoj Kumar Munda (Jan 2025 –present ): Crop Biophysical Parameter Retrieval Using SAR Data.
- Ms. Sudipta Hansda (Jan 2025-present): Urban heat island and sprawl, CDMR-IITG (Co-supervisor)
- Ms. Ashmitha Nihar (Feb 2025-present): Dual-Pol SAR data for crop phenology monitoring, CSRE-IIT Bombay (External Co-supervisor)
- Sagar Kumar (2025 – present): Leveraging Remote Sensing-Derived Biophysical Indicators for Crop Credit Scoring: A Data-Driven Approach to Agricultural Financing.
- Ms. Jebin Sultana Ahmed, Field based assessment of Climate-Smart Agriculture (CSA) practices and impact of biochar application as one CSA practice in flood-prone areas of Morigaon, Assam: A case study (SART-IITG Nov 2024-present).
- Ms. Ranjana Deka, Food value chain (SART-IITG March 2025-present).
- Ms. Maitree Dutta, Development of mixed pulse instant soup: Evaluating Protein Quality, (SART-IITG 2024-present).
- Mr. Ross Unruh, Soil Management and Monitoring using Optical and SAR remote sensing data in corn-soybean cropping system, Department Agronomy, Kansas State University, Manhattan, KS (Jan 2025-present).
- SAR Polarimetry for agricultural applications, IEEE GRSS IIT Indore and IEEE Student Brunch IITI webinar, 17 April, 2023 (Virtual).
- 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.
- 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.
- 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.
- JECAM SAR Inter-comparison Experiment-India,” JECAM Special Event during IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2018, Valencia, Spain.
- Tutorial workshop: Polarimetric SAR – Practice Session, IEEE GRSS IADF School on Computer Vision for Earth Observation, 7 October, 2022, Italy.
- 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.
- 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.
Academic Awards
- Naik and Rastogi Excellence in Ph.D. Thesis Award, Indian Institute of Technology Bombay (IIT Bombay), Aug 2021.
- IEEE-GRSS India best Ph.D. Thesis Award 2020, IEEE-GRSS Kerala Chapter, Dec 2020.
- Shastri Research Student Fellowship (2018-2019), Shastri Indo-Canadian Institute, 2018.
- IEEE Geoscience and Remote Sensing Society Travel Grant, IEEE-GRSS, 2017.
- M.Tech-M.Phil & Ph.D. Assistantship, Ministry of Human Resource Development, Government of India, 2015-2020.
- Secured 1st Rank in all India level examination (Graduate Aptitude Test in Engineering-GATE 2015) in Agricultural Engineering.
- University Gold Medal (Under Graduation), Bidhan Chandra Krishi Viswavidyalaya, 2016.
Professional Memberships
- Member : IEEE Geoscience and Remote Sensing Society (IEEE GRSS)
- Member : Indian Society of Remote Sensing (ISRS)
- International Society of Precision Agriculture (M’21)
- American Association for the Advancement of Science AAAS (M’ 22)
- American Society of Agronomy (M’ 22)
- International Society for Photogrammetry and Remote Sensing (IM’16)
Editorial Activity
- Guest Editor, Special Issue on "Monitoring, Assessment, and Prediction of Agroecosystem Dynamics for Sustainable Agriculture: Applications of Photogrammetry, Remote Sensing, and Geographic Information Systems"in Remote Sensing, MDPI (2024).
- Guest Editor, Special Issue on "Radar Remote Sensing for Monitoring Agricultural Management" in Remote Sensing, MDPI (2023).
- Review Editor, Microwave Remote Sensing, Frontiers in Remote Sensing journal.
- Journal Topical Advisory Panel, Land – Observation and Monitoring, MDPI.
- Journal Topical Advisory Panel, Remote Sensing – Observation and Monitoring, MDPI.
Journal Reviewer
- Canadian Journal of Remote Sensing.
- IEEE Transactions on Geoscience and Remote Sensing (TGRS).
- IEEE Geoscience and Remote Sensing Letters (GRSL).
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS).
- Journal of the Indian Society of Remote Sensing
- International Journal of Applied Earth Observation and Geoinformation (JAG).
- International Journal of Remote Sensing (IJRS), Taylor & Francis.
- International Journal of Remote Sensing Letters (RSL), Taylor & Francis.
- Scientific Reports, Nature
- Remote Sensing of Environment, Elsevier
- ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier
- Computers and Electronics in Agriculture, Elsevier
- Field Crops Research, Elsevier
- Journal of Hydrology, Elsevier
- Remote Sensing Applications: Society and Environment, Elsevier
- GIScience & Remote Sensing, Taylor & Francis
- Geocarto International, Taylor & Francis
- European Journal of Remote Sensing, Taylor & Francis
- Environmental Research Letters, IOP Science
- Journal of Applied Remote Sensing (JARS), SPIE
- Remote Sensing, MDPI
- Frontiers in Ecology and Evolution
- Applied Geomatics, Springer Nature
- Precision Agriculture, Springer
- Remote Sensing in Earth Systems Sciences, Springer
- Journal of the Indian Society of Remote Sensing, Springer
- Earth Science Informatics, Springer
- PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Springer
- Remote Sensing in Earth Systems Sciences, Springer
- Agrosystems, Geosciences & Environment, Wiley
External Project Review Committee Member:
- Belgian Earth Observation Programme (STEREO) -IV programme ‘Support To the Exploitation and Research of Earth Observation data,’ The Belgian Science Policy Office, Belgium, 2023.
- US-Israel Binational Agricultural Research and Development Fund (BARD), 2023.
Synergistic Activities
- Chair of the session “Proximal and Remote Sensing of Soil and Crop (including Phenotyping)” in the 15th International Conference on Precision Agriculture, International Society of Precision Agriculture, Minnesota, USA, 2022.
- Chair of the session “Remote Sensing for Crop Monitoring, Mapping and Classification III” in IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2020, Virtual conference.
- Chair of the session “Crop Identification and Classification using Remote Sensing II” in IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2018, Valencia, Spain.
- Chair of the session “Remote Sensing for Crop and Soil Parameters II” in IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2018, Valencia, Spain.
- D. Mandal, A. Bhattacharya, Y. S. Rao, “Radar Remote Sensing for Crop Biophysical Parameter Estimation”, eBook ISBN-9789811644245, 1st ed, Springer Singapore, 2021.
- D. Mandal, R. Khosla. (2023). Spatial and temporal variability analysis. In: Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies. Springer, Cham. DOI: 10.1007/978-3-030-89123-7_92-1
- S. Hariharan, D. Mandal, V. Kumar, A. Bhattacharya. (2023). 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. DOI:10.1007/978-3-031-21225-3_8.
- D. Mandal, V. Kumar, Y. S. Rao, H. McNairn, J. M. Lopez-Sanchez, A. Bhattacharya, S. Mitchell (2022) “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, DOI: 10.1016/B978-0-12-823457-0.00011-2
- D. Mandal, V. Kumar, A. Bhattacharya, Y. S. Rao (2022), “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., DOI: 10.1007/978-3-030-92365-5_13.
- D. Mandal, “Concepts of Farm Machinery and Power”, ISBN-9789386110176, 1st ed, Delhi, India: Narendra Publishing House, 2016.
- Y. Li, D. Cammarano, F. Yuan, R. Khosla, D. Mandal, M. Fan, S. T. Ata-UI-Karim, X. Liu, Y. Tian, Y. Zhu, W. Cao, Q. Cao, 2023. A novel method for optimizing regional-scale management zones based on a sustainable environmental index. Precision Agriculture, 10.1007/s11119-023-10067-z.
- A. Baishya, A. Chowdhury, R. Chakrabarty, S. Sengupta, A. Das, A. Panda, U. P. S. Bhadoriya, and D. Mandal, 2023. Spatiotemporal Analysis and Trend Detection of Groundwater Levels Using GIS Techniques in Nadia District of West Bengal, India. Journal of the Geological Society of India, 99(6), pp.868-874.
- B. Das, P. Rathore, D. Roy, D. Chakraborty, B. K. Bhattacharya, D. Mandal, R. Jatav, D. Sethi, J. Mukherjee, V. K. Sehgal, A. K. Singh and P. Kumar, 2023. Ensemble surface soil moisture estimates at farm-scale combining satellite-based optical-thermal-microwave remote sensing observations. Agricultural and Forest Meteorology, 339, 109567.
- K. Shilpa, C. Suresh Raju, D. Mandal, Y. S. Rao, and A. Shetty, 2023. Soil Moisture Retrieval Over Crop Fields from Multi-polarization SAR Data. Journal of the Indian Society of Remote Sensing, pp.1-14.
- 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. DOI: 10.3390/rs14205077
- L. Longchamps, D. Mandal, R. Khosla, "Assessment of Soil Fertility Using Induced Fluorescence and Machine Learning," Sensors, 2022, 22, 4644. DOI: 10.3390/s22124644
- N. Bhogapurapu, S. Dey, D. Mandal, A. Bhattacharya, L. Karthikeyan, H. McNairn, Y. S. Rao, “Soil moisture retrieval over croplands using dual-pol L-band GRD SAR data,” Remote Sensing of Environment, 2022, 271, p.112900. DOI: 10.1016/j.rse.2022.112900
- P. Ghosh, D. Mandal, S. Wilfling, J. Hollberg, D. Bargiel, A. Bhattacharya, “Synergy of optical and synthetic aperture radar (SAR) data for early-stage crop yield estimation: A case study over a state of Germany,” Geocarto International, 2022, 37 (25), pp.10743-10766. DOI: 10.1080/10106049.2022.2039306
- 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
- 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, vol. 14, pp. 8744-8760, 2021.
- 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.
- 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, 13, 629–650, 2021, DOI: 10.1007/s12403-021-00407-7.
- 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.
- 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.
- 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.
- 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, 59 (5), 3981-3998, 2021. DOI: 10.1109/TGRS.2020.3010840
- 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.
- 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, 18 (10), 1701-1705, DOI: 10.1109/LGRS.2020.3008757
- 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
- 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, 100366, 2020, DOI: 10.1016/j.rsase.2020.100366
- 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, 37 (6), 1547-1559, DOI: 10.1080/10106049.2020.1783577.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- S. S. Ghosh, D. Mandal, S. Kumar, N. Bhagapurapu, P. Siqueira, B. Banerjee, and A. Bhattacharya. "Phenology-based crop classification from multi-frequency dual-pol SAR data utilizing Gaussian Processes." In 2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), pp. 1-6. IEEE, 2023.
- D. Mandal, R. Siqueira, L. Longchamps, and R. Khosla. “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, 2022.
- 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.
- 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.
- 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.
- 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.
- 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,” IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2020, Hawaii, USA, 2020, pp. 4870-4873.
- N. R. Bhogapurapu, D. Mandal, Y. S. Rao, A. Bhattacharya, 2020 “Soil Moisture retrieval using SAR derived vegetation descriptors in Water Could Model”, IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2020, Hawaii, USA, 2020, pp. 4696-4699.
- S. Dey, D. Ratha, D. Mandal, A. Bhattacharya, A. C. Frery, 2020. “A Non-model Based Three Component Scattering Power Decomposition for Full Polarimetric SAR Data”, IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2020, Hawaii, USA, 2020, pp. 7021-7024.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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
- 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.
- 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.
- 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.
- R. Unruh, D. Mandal, W. Yilma, J. Siegfried and R. Khosla, “Delineating dynamic variable rate irrigation prescriptions”, DA3: Digital Ag & Advanced Analytics Symposium-The Corteva Symposia Series, Manhattan, Kansas, 23 October, 2023. (Poster) https://www.da3symposium.com/poster-abstracts
- D. Mandal, W. Yilma, R. Unruh and R. Khosla, “Planetscope and UAS Multispectral Sensing for Detecting in-Season Nitrogen Variability of Corn,” ASA, CSSA, SSSA International Annual Meeting, St. Louis, MO, USA, 2023.
- W. Yilma, D. Mandal, and R. Khosla, “Coupling Macro-Scale Variability in Soil and Micro-Scale Variability in Crop Canopy for Delineation of Site-Specific Management Zone,” ASA, CSSA, SSSA International Annual Meeting, St. Louis, MO, USA, 2023.
- W. Yilma, D. Mandal, and R. Khosla, “Proximal Sensing to Estimate Soil Nitrogen and Reduce Soil Sampling Intensity,” ASA, CSSA, SSSA International Annual Meeting, St. Louis, MO, USA, 2023.
- R. Khosla, L. Longchamps, D. Mandal, “Precision N Management from Prescription Maps to Real-Time,” ASA, CSSA, SSSA International Annual Meeting, Baltimore, MD, USA 2022.
- D. Mandal, L. Longchamps, R. Khosla, “Fluoro-Sensing and Machine Learning to Measure Crop Properties for Precision Nitrogen Management,” ASA, CSSA, SSSA International Annual Meeting, Baltimore, MD, USA 2022.
- 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.
- 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.
- 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.
- ‘Bits and bytes boost agriculture’, Seek Magazine, Kansas State University, 2022, https://www.k-state.edu/seek/fall-2022/images/Seek_Fall_2022_Kansas_State_University_WEB.pdf
- ‘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
- Machine learning helps monitor crop growth, Research Matters, Mumbai, Jun 8, 2020. https://researchmatters.in/news/machine-learning-helps-monitor-crop-growth
Fetured Research/ News
April 14, 2018 | SAR Polarimetry | 4
Book
New book publication by Dr. Dipankar Mandal, Prof. Avik Bhattacharya, and Prof. Y. S. Rao ‘Radar Remote Sensing for Crop Biophysical Parameter Estimation‘, Springer.
April 26, 2019 | Agriculture
New RADAR Vegetation Index (GRVI)
A better vegetation descriptor than RVI. Preliminary results indicated better correlation with vegetation parameters (PAI, VWC etc.)
April 14, 2018 | Agriculture | 4
Sen4Rice
Cloud based processing chain for Sentinel-1 data processing for rice mapping
©Dr. Dipankar Mandal, SART-IIT Guwahati📅07-04-2025