Detection technology benchmarking
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Results for: Detection technology benchmarking
- Chen, Z, S El Abbadi, E Sherwin, P Burdeau, J Rutherford, Y Chen, Z Zhang, and A Brandt. “Comparing Continuous Methane Monitoring Technologies for High-Volume Emissions: A Single-Blind Controlled Release Study”, ACS ES&T Air, 1, no. 8 (June 4, 2024): 871-84. https://doi.org/10.1021/acsestair.4c00015.
- El Abbadi, S, Z Chen, P Burdeau, J Rutherford, Y Chen, Z Zhang, E Sherwin, and A Brandt. “Technological Maturity of Aircraft-Based Methane Sensing for Greenhouse Gas Mitigation”, Environmental Science & Technology, 58, no. 22 (May 17, 2024). https://doi.org/10.1021/acs.est.4c02439.
- Sherwin, Evan, Jeffrey Rutherford, Yuanlei Chen, Sam Aminfard, Eric Kort, Robert Jackson, and Adam Brandt. “Single-Blind Validation of Space-Based Point-Source Detection and Quantification of Onshore Methane Emissions”, Scientific Reports, 13 (March 7, 2023): 3836. https://doi.org/10.1038/s41598-023-30761-2.
- Zhang, Zhan, Evan Sherwin, Daniel Varon, and Adam Brandt. “Detecting and Quantifying Methane Emissions from Oil and Gas Production: Algorithm Development With Ground-Truth Calibration Based on Sentinel-2 Satellite Imagery”, Atmospheric Measurement Techniques, 15, no. 23 (December 13, 2022): 7155-69. https://doi.org/10.5194/amt-15-7155-2022.
- Bell, Clay, Jeff Rutherford, Adam Brandt, Evan Sherwin, Timothy Vaughn, and Daniel Zimmerle. “Single-Blind Determination of Methane Detection Limits and Quantification Accuracy Using Aircraft-Based LiDAR”, Elementa: Science of the Anthropocene, 10, no. 1 (January 4, 2022): 00080. https://doi.org/10.1525/elementa.2022.00080.
- Wang, Jinfang, Jingwei Ji, Arvind Ravikumara, Silvio Savarese, and Adam Brandt. “VideoGasNet: Deep Learning for Natural Gas Methane Leak Classification Using an Infrared Camera” 238 (January 1, 2022): 121516. https://doi.org/10.1016/j.energy.2021.121516.
- Sherwin, Evan, Yuanlei Chen, Arvind Ravikumar, and Adam Brandt. “Single-Blind Test of Airplane-Based Hyperspectral Methane Detection via Controlled Releases”, Elementa: Science of the Anthropocene, 9, no. 1 (April 24, 2021): 00063. https://doi.org/10.1525/elementa.2021.00063.
- Klise, Katherine, Bethany Nicholson, Carl Laird, Arvind Ravikumar, and Adam Brandt. “Sensor Placement Optimization Software Applied to Site-Scale Methane-Emissions Monitoring”, Journal of Environmental Engineering, 146, no. 7 (April 24, 2020). https://doi.org/10.1061/(ASCE)EE.1943-7870.0001737.
- Ravikumar, Arvind, Daniel Roda-Stuart, Ryan Liu, Alexander Bradley, Joule Bergerson, Yuhao Nie, Siduo Zhang, Xiaotao Bi, and Adam Brandt. “Repeated Leak Detection and Repair Surveys Reduce Methane Emissions over Scale of Years”, Environmental Research Letters, 15, no. 3 (February 26, 2020): 034029. https://doi.org/10.1088/1748-9326/ab6ae1.
- Wang, Jingfan, Lyne Tchapmi, Arvind Ravikumar, Mike McGuire, Clay Bell, Daniel Zimmerle, Silvio Savarese, and Adam Brandt. “Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera”, Applied Energy, 257 (January 1, 2020): 113998. https://doi.org/10.1016/j.apenergy.2019.113998.
- Ravikumar, Arvind, Sindhu Sreedhara, Jingfang Wang, Jacob Englander, Daniel Roda-Stuart, Clay Bell, Daniel Zimmerle, David Lyon, Isabel Mogstad, Ben Ratner, and Adam Brandt. “Single-Blind Inter-Comparison of Methane Detectiontechnologies – Results from the Stanford EDF MobileMonitoring Challenge”, Elementa: Science of the Anthropocene, 7, no. 37 (September 10, 2019). https://doi.org/10.1525/elementa.373.
- Ravikumar, Arvind, Jingfan Wang, Mike McGuire, Clay Bell, Daniel Zimmerle, and Adam Brandt. “‘Good Versus Good Enough?’ Empirical Tests of Methane Leak Detection Sensitivity of a Commercial Infrared Camera”, Environmental Science & Technology, 52, no. 4 (January 19, 2018): 2368–2374. https://doi.org/10.1021/acs.est.7b04945.
- Ravikumar, Arvind, Jingfan Wang, and Adam Brandt. “Are Optical Gas Imaging Technologies Effective For Methane Leak Detection?”, Environmental Science & Technology, 51, no. 1 (November 29, 2016): 718–724. https://doi.org/10.1021/acs.est.6b03906.