Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer L Guanter, I Irakulis-Loitxate, J Gorroño, E Sánchez-García, DH Cusworth, ... Remote Sensing of Environment 265, 112671, 2021 | 134 | 2021 |
Satellite-based survey of extreme methane emissions in the Permian basin I Irakulis-Loitxate, L Guanter, YN Liu, DJ Varon, JD Maasakkers, Y Zhang, ... Science Advances 7 (27), eabf4507, 2021 | 131 | 2021 |
A methodology for comparing the surface urban heat island in selected urban agglomerations around the world from Sentinel-3 SLSTR data JA Sobrino, I Irakulis Remote Sensing 12 (12), 2052, 2020 | 97 | 2020 |
Satellites detect abatable super-emissions in one of the world’s largest methane hotspot regions I Irakulis-Loitxate, L Guanter, JD Maasakkers, D Zavala-Araiza, I Aben Environmental science & technology 56 (4), 2143-2152, 2022 | 86 | 2022 |
Automated detection and monitoring of methane super-emitters using satellite data BJ Schuit, JD Maasakkers, P Bijl, G Mahapatra, AW Van den Berg, ... Atmospheric Chemistry and Physics Discussions 2023, 1-47, 2023 | 71 | 2023 |
Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite E Sánchez-García, J Gorroño, I Irakulis-Loitxate, DJ Varon, L Guanter Atmospheric Measurement Techniques Discussions 2021, 1-26, 2021 | 56 | 2021 |
Satellites detect a methane ultra-emission event from an offshore platform in the Gulf of Mexico I Irakulis-Loitxate, J Gorroño, D Zavala-Araiza, L Guanter Environmental Science & Technology Letters 9 (6), 520-525, 2022 | 45 | 2022 |
Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space AK Thorpe, RO Green, DR Thompson, PG Brodrick, JW Chapman, ... Science advances 9 (46), eadh2391, 2023 | 41 | 2023 |
Understanding the potential of Sentinel-2 for monitoring methane point emissions J Gorroño, DJ Varon, I Irakulis-Loitxate, L Guanter Atmospheric Measurement Techniques 16 (1), 89-107, 2023 | 31 | 2023 |
Satellite-based survey of extreme methane emissions in the Permian basin, Sci. Adv., 7, eabf4507 I Irakulis-Loitxate, L Guanter, YN Liu, DJ Varon, JD Maasakkers, Y Zhang, ... | 21 | 2021 |
High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission J Roger, I Irakulis-Loitxate, A Valverde, J Gorroño, S Chabrillat, M Brell, ... IEEE Transactions on Geoscience and Remote Sensing, 2024 | 20 | 2024 |
Assessing the relative importance of satellite-detected methane superemitters in quantifying total emissions for oil and gas production areas in algeria S Naus, JD Maasakkers, R Gautam, M Omara, R Stikker, AK Veenstra, ... Environmental Science & Technology 57 (48), 19545-19556, 2023 | 11 | 2023 |
Geostationary satellite observations of extreme and transient methane emissions from oil and gas infrastructure M Watine-Guiu, DJ Varon, I Irakulis-Loitxate, N Balasus, DJ Jacob Proceedings of the National Academy of Sciences 120 (52), e2310797120, 2023 | 9 | 2023 |
Exploiting the entire near-infrared spectral range to improve the detection of methane plumes with high-resolution imaging spectrometers J Roger, L Guanter, J Gorroño, I Irakulis-Loitxate Atmospheric Measurement Techniques Discussions 2023, 1-21, 2023 | 9 | 2023 |
CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery A Vaughan, G Mateo-García, L Gómez-Chova, V Růžička, L Guanter, ... EGUsphere 2023, 1-17, 2023 | 7 | 2023 |
Satellites unveil easily-fixable super-emissions in one of the world's largest methane hotspot regions I Irakulis-Loitxate, L Guanter, JD Maasakkers, D Zavala-Araiza, I Aben EarthArXiv, 2021 | 6 | 2021 |
Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space, Sci. Adv., 9, eadh2391 AK Thorpe, RO Green, DR Thompson, PG Brodrick, JW Chapman, ... | 5 | 2023 |
Understanding the potential of Sentinel-2 for monitoring methane point emissions J Gorroño, DJ Varon, I Irakulis-Loitxate, L Guanter Atmospheric Measurement Techniques Discussions 2022, 1-25, 2022 | 5 | 2022 |
A methodology for comparing the surface urban heat Island in selected urban agglomerations around the world from Sentinel-3 SLSTR data. Remote Sens 12 (12): 1–31 JA Sobrino, I Irakulis | 4 | 2020 |
CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery A Vaughan, G Mateo-García, L Gómez-Chova, V Růžička, L Guanter, ... Atmospheric Measurement Techniques 17 (9), 2583-2593, 2024 | 2 | 2024 |