Microwave Remote Sensing Lab (MRSLab)

Publication Alert 📡💡!! We are delighted to share our new research article, " An Evidence Modified Gaussian Process Classifier (EM-GPC) for crop classification using Dual-Polarimetric C- and L-band SAR Data," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Congratulations to all the authors: Swarnendu sekhar ghosh, Prof. Dipankar Mandal, Sandeep Kumar, Narayanarao Bhogapurapu, Prof.Biplab Banerjee, Prof. Paul Siqueira and Prof.Avik Bhattacharya. This work proposes a novel approach of performing classification using an evidence modified Gaussian process classifier. A systematic crop classification study over two geographical locations has been performed using Dual-polarimetric C- and L-band multisensor SAR data. Please read the full article at :  https://lnkd.in/gh_zZWRa #RemoteSensing #Dualpol #GoldenAgeofSAR #RADARSAT #UAVSAR #NISAR #GaussianProcesses #Classification #agriculture #cropmapping #Görmin #Germany #Manitoba #Canada #IEEE #JSTARS

🌟 Exciting Internship Opportunity! 🌟 We’re on the lookout for a bright, enthusiastic intern to join our team at Microwave Remote Sensing Lab (MRSLab), CSRE, Indian Institute of Technology, Bombay. The intern will be responsible for processing, analyzing, and interpreting polarimetric SAR data to derive valuable insights that support our diverse research initiatives under the guidance of Prof. Avik Bhattacharya. Additionally, the intern will assist in the development of tools and plugins designed for integration into widely used geospatial software platforms such as SNAP and QGIS. If you're eager to gain mentorship and valuable experience in a collaborative and research-driven environment, grab this opportunity! For further details, visit: https://lnkd.in/gPx69GAZ   

Publication Alert 📡💡!! We are delighted to share our new research article, "Target Characterization and Scattering Power Components From Dual-Pol Sentinel-1 SAR Data," in IEEE Transactions on Geoscience and Remote Sensing. Congratulations to all the authors: ABHINAV VERMA, Prof. Avik Bhattacharya, Prof. Subhadip Dey, Prof. Armando Marino, and Prof. Paolo Gamba. This work introduces a novel dual-pol target characteristic parameter that is then utilized for a three-component decomposition of Sentinel-1 SAR data. Please read the full article at: https://lnkd.in/dzCUxaQi #Dual_pol #Sentinel-1 #ESA #NISAR #Sentinel1_decomposition #Scatttering_information #Global_Land_Cover_Characterization #GoldenAgeofSAR #IEEE #TGRS

It's four in a row! Heartiest congratulations to Dr. Narayanarao Bhogapurapu for receiving the prestigious "Naik and Rastogi Award for Excellence in Ph.D. Research" from the Indian Institute of Technology, Bombay, for the years 2022-2024. This award is conferred on Dr. Bhogapurapu for his doctoral work entitled “Soil moisture estimation over croplands using PolSAR data” and outstanding contribution towards the improvement of diverse techniques for agricultural applications utilizing Synthetic Aperture Radar remote sensing data under the guidance of Prof. YS Rao and Prof Avik Bhattacharya. This marks four consecutive best theses for the Microwave Remote Sensing Lab (MRSLab)! Thesis link: https://lnkd.in/eGuc4fKK #PhDAward #BestThesis #AcademicExcellence #polsar

🚀 Excited to share some of our latest results using ISRO - Indian Space Research Organization, National Remote Sensing Centre, ISRO EOS-04 mission, a follow-on to RISAT-1, which provides high-resolution C-band Synthetic Aperture Radar (SAR) data across various modalities. We utilize a full-polarimetric EOS-04 data over Mumbai, India, to showcase some recently developed polarimetric descriptors at the Microwave Remote Sensing Lab (MRSLab), CSRE, Indian Institute of Technology, Bombay. More details about these descriptors are available at: 📃1. https://lnkd.in/dshSUmPr 📃2. https://lnkd.in/d_GNmD95 #Remote_Sensing #SAR #Polarimetry #EOS04 #RISAT #ISRO #NRSC #MRSLab 🇮🇳 Wish you all a Happy Independence Day!!

On the occasion of National Space Day, we are excited to spotlight the cutting-edge research at our Microwave Remote Sensing Lab (MRSLab) at IIT Bombay. Our research sits at the crossroads of spaceborne radar remote sensing technology and agriculture, driving technical innovations with significant societal impact. Here are some of our key achievements: Transforming Crop Monitoring: Focused on monitoring crop growth parameters and soil moisture estimation on a large-scale using Sentinel-1 Synthetic Aperture Radar (SAR) data. Successfully utilized cloud computing platforms to analyze rice transplantation variability regionally, setting a new standard for rice monitoring. Pioneering Radar Vegetation Indices: Developed innovative radar vegetation indices using advanced polarimetric scattering models for different SAR acquisition modes. Tested these indices across diverse cropping systems worldwide, enhancing our ability to monitor crop conditions accurately. Advanced Crop Biophysical Parameter Retrieval: Employed a multi-target inversion technique with Machine Learning (ML) techniques to retrieve crop biophysical parameters. Validated this technique across various crops and regions, showcasing its robustness and versatility. Leveraging Cloud Computing: Implemented efficient processing pipelines on AWS and Google Earth Engine (GEE), harnessing the power of high-volume SAR data from current and future missions. These cloud-based solutions enable scalable and efficient agricultural monitoring. Global Collaboration and Impact: Our innovative strategies have paved the way for the development of operational agriculture monitoring services within the Joint Experiment for Crop Assessment and Monitoring (JECAM) international research network. This collaboration underscores the global relevance and impact of our research. Our work pioneers the frontiers of remote sensing technology and catalyzes significant advancements in sustainable agriculture, creating a lasting impact on both the scientific community and the environment. #SpaceDay #RemoteSensing #Microwave Remote Sensing Lab (MRSLab) #Agriculture #Sustainability #Innovation #CloudComputing #IITBombay #SAR #JECAM

🌟 Applications for the International School on #SAR #Polarimetry: From Theory to Applications 2024 is Now Open! #GoldenAgeOfSAR 🌟 🎉 We're excited to announce that applications are open for the IEEE Geoscience and Remote Sensing Society (GRSS) International School on #SAR #Polarimetry #PolSAR: From Theory to Applications from 10th to 12th December 2024 at the University of Stirling, in Stirling, Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿. 👨💼👩🎓 The intensive program is designed for PhD scholars, postdocs, JRFs, and young scientists who have an interest in deepening their understanding of #PolSAR data provided by #EarthObservation 🌍🛰️ satellite sensors such as SAOCOM (CONAE), RCM (CSA&MDA), RISAT2 (ISRO), ALOS-2 (JAXA), BIOMASS & ROSE-L (ESA) or NISAR (NASA&ISRO). 🗓️ Dates & Place: December 10th - 12th, 2024, University of Stirling, Stirling, Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿 📚 Format: 8-hour classes including both theoretical and practical sessions 💵 Financial Aid: IEEE Geoscience and Remote Sensing Society (GRSS) is offering financial support 🚨 Priority is given to residents in Europe 🖥 For more information & to apply, visit: https://lnkd.in/drArSWzN Universitat Politècnica de Catalunya (UPC) #RemoteSensing #Geomatics #EarthObservation #ProfessionalDevelopment #GRSS #Innovation #Education

Exciting wrap-up of IGARSS 2024.   It was an incredible experience to connect with folks from the IEEE Geoscience and Remote Sensing Society (GRSS), engage in insightful discussions, and present our work at IGARSS 2024. Our lab members, Prof. Avik Bhattacharya, Swarnendu sekhar ghosh, ABHINAV VERMA, and Sandeep Kumar, presented their recent research work at IGARSS. Join us in congratulating Prof. Avik Bhattacharya, Indian Institute of Technology, Bombay, for receiving the IEEE GRSS 2024 Regional Leader Award. Thank you all for making this event truly unforgettable. We eagerly anticipate continuing our collaborative journey, pushing the boundaries of innovation, and achieving new heights together.

Microwave Remote Sensing Lab (MRSLab) members will present their current research work at IGARSS 2024 in Athens, Greece. Please join us at the following sessions: Paper Title: ENHANCED TARGET CHARACTERIZATION WITH DUAL-POL SENTINEL-1 SAR DATA Presenter’s Name: ABHINAV VERMA Session: TU1.R13: Student Paper Competition I Presentation Schedule:  Tue, 9 Jul, 09:20 - 09:40 (Greece time) Venue: MC 3.3 https://lnkd.in/dAnrKbru Paper Title: CROP RESIDUE BURNING AND ITS IMPACT ON AIR QUALITY: A CASE STUDY ON NORTHERN INDIA Presenter’s Name: Sandeep Kumar Session: TU3.R12: Earth Observations Contribution to the Sustainable Development Goals I Presentation Schedule:  Tue, 9 Jul, 15:36 - 15:50 Venue: MC 3.4 https://lnkd.in/d5bfYzHz Paper Title: RICE CROP MONITORING USING DUAL-POL SENTINEL-1 SLC AND GRD SCATTERING POWER COMPONENTS Presenter’s Name: ABHINAV VERMA Session: TU4.R14: SAR Polarimetry: Methods and Applications II Presentation Schedule: Tue, 9 Jul, 18:02 - 18:16 Venue: Banqueting Hall https://lnkd.in/d929cdn4 Paper Title: ENHANCING CROP TYPE CLASSIFICATION FROM MULTI-FREQUENCY DUAL-POL SAR DATA BY PROBABILISTIC FUSION OF GAUSSIAN PROCESSES Presenter’s Name: Swarnendu sekhar ghosh Session: TH3.R2: Classification and Clustering III Presentation Schedule: Thu, 11 Jul, 15:50 - 16:04 Venue: Mitropoulos https://lnkd.in/dgKDvQ4B Paper Title: EXPLORING NOVEL SCATTERING INFORMATION FROM POLARIMETRIC SAR DATA Presenter’s Name: Avik Bhattacharya Session: FR3.R16: Advanced Methods for Polarimetric SAR Information Extraction I Presentation Schedule: Fri, 12 Jul, 14:54 - 15:08 Venue: Mars Hall https://lnkd.in/d3MGH77B For related work to these presentations, please check out the following links: 1. Built-up area mapping using Sentinel-1 SAR data (https://lnkd.in/dMXBhEJg) 2. Scattering power components from dual-pol Sentinel-1 SLC and GRD SAR data (https://lnkd.in/dqN-cGfu) 3. Phenology-based crop classification from multi-frequency dual-pol SAR data utilizing Gaussian Processes (10.1109/APSAR58496.2023.10388965)  4. Gaussian Process Regression Model for Crop Biophysical Parameter Retrieval from Multi-Polarized C-Band SAR Data (https://lnkd.in/dzsFxipR) 5. Gaussian process regression-based forest above ground biomass retrieval from simulated l-band NISAR data (https://lnkd.in/dD_7ENuN) 6. Scattering Purity and Complexity in Radar Polarimetry (https://lnkd.in/d_GNmD95) 7. An Alternate Scattering-Type Parameter for Target Characterization and Classification (https://lnkd.in/dshSUmPr) We look forward to your participation and discussions at IGARSS 2024! #IGARSS2024 #Athens #Greece #IEEEGRSS

Indian Institute of Technology Bombay (IIT Bombay) has been ranked 1st in India and 118th in the world this year in the Quacquarelli Symonds (QS) World University Rankings, with an overall score of 56.3 out of 100. It is for the first time ever since its participation that IIT Bombay has been ranked within top 125 in QS rankings. Overall, the Institution improved on its 2024 performance by 31 places.