IEEE InGARSS 2023: Research Poster Session on Soil/Vegetation Characterization (Session 14)

This video includes presentations of research papers accepted as posters on the topic of "Soil/Vegetation Characterization" at the 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS 2023) on December 12, 2023, at IIIT Bangalore (IIIT-B).
Research (Poster) - Session 14: Soil/Vegetation Characterization
The speakers Mukesh Kumar Verma and Manohar Yadav offered a comprehensive examination on the topic "TLS, GNSS And TS Survey Planning for Precision Agricultural Applications".
The speakers R. G Rejith, Rabi Narayan Sahoo, Jochem Verrelst, Rajeev Ranjan, Shalini Gakhar, Amrita Anand, Tarun Kondraju, Sudhir Kumar, Mahesh Kumar, and Raju Dhandapani offered a comprehensive examination on the topic "UAV-Based Retrieval of Wheat Canopy Chlorophyll Content Using a Hybrid Machine-Learning Approach".
The speakers Ali Jamali, Swalpa Kumar Roy, Avik Bhattacharya, and Pedram Ghamisi offered a comprehensive examination on the topic "Sharpened Cosine Similarity U-Net for Deforestation Mapping".
The speakers Alex Mathew, Aby K Mathai, Gnanappazham Lakshmanan, and Arun Prasad Kumar offered a comprehensive examination on the topic "Temporal Analysis of Mangrove Species Distribution in the Mangroves of Pichavaram and Bhitarkanika".
The speakers Apoorva Shanthkumar, Mohammed Ahamed Jeelani, Jeganathan Chockalingam, and Ramachandra Hebbar offered a comprehensive examination on the topic "Temporal Sentinel-1 SAR Data for Precise Crop Identification and Monitoring".
The speakers Muskan Borana, Arpitha Iype, and Venkata Sai Krishna Vanama offered a comprehensive examination on the topic "Rapid Mapping of Potential Soil Erosion Using Earth Observation Images Through Google Earth Engine Cloud Platform".
The speakers Anam Sabir and Unmesh Khati offered a comprehensive examination on the topic "Monitoring Tree Loss in Urban Areas with Synthetic Aperture Radar Data".
The speakers Bonthu Sandeep Reddy, Shubham Sharma, and Shwetha H R offered a comprehensive examination on the topic "Crop Classification Based on Optimal Hyperspectral Narrow Bands Using Machine Learning and Hyperion Data".
The speakers Shubhangi Wankhede, Leisa Armstrong, and Amiya Kumar Tripathy offered a comprehensive examination on the topic "Agricultural Drought Forecasting Using NDVI, VCI And Artificial Neural Networks".
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