CM
Chintan B. Maniyar
University of Georgia, Indian Institute of Remote Sensing, Indian Institute of Remote Sensing, ISRO, Charotar University of Science and Technology Chandubhai S Patel Institute of Technology
Research areas: Computer Science · Computer Vision and Pattern Recognition · Remote-Sensing Image Classification · Aquatic Ecosystems and Phytoplankton Dynamics · Water Quality Monitoring Technologies
Employment
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University of Georgia Graduate Teaching Assistant & PhD Student2021 - Present
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Indian Institute of Remote Sensing Student Researcher (MTech)2019 - 2021
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Indian Institute of Technology Bombay Project Intern2018 - 2019
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University of Georgia Research Intern2018 - 2018
Education
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Indian Institute of Remote Sensing, ISRO Master of Technology2019 - 2021
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Charotar University of Science and Technology Chandubhai S Patel Institute of Technology B. Tech2015 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Advancing CyanoHAB monitoring with hyperspectral data from NASA PACE: First results and validation Save
- Low-Cost System to Support and Expand Cyanobacterial Harmful Algal Bloom Monitoring with New-Generation Ocean Color Satellites Save
- Artificial intelligence in environmental remote sensing: Progress, way forward and key considerations Save
- Remote sensing of cyanobacterial harmful algal blooms: Current trends and future directions Save
- Spatio-Temporal Dynamics of Total Suspended Sediments in the Belize Coastal Lagoon Save
- Continuous and Synoptic Assessment of Indian Inland Waters for Harmful Algae Blooms Save
- Deep Learning-Based Improved Automatic Building Extraction from Open-Source High Resolution Unmanned Aerial Vehicle (UAV) Imagery Save
- Frequent Synoptic Monitoring of Cyanobacterial Harmful Algal Blooms for Potential Prevention of Disease Outbreak Save
- Deep Learning based Improved Automatic Building Extraction from Open-Source High Resolution Unmanned Aerial Vehicle (UAV) Imagery Save
- Improved Automated Building Extraction from High Resolution Remote Sensing Imagery using Time-optimized Deep Learning Techniques Save
- Improved Automated Building Extraction from High Resolution Remote Sensing Imagery using Time-optimized Deep Learning Techniques Save
- Generative Adversarial Network for Cloud Removal from Optical Temporal Satellite Imagery Save
- CHEERBOT Save