T
Tomohiro Oda
Researcher at Universities Space Research Association
Publications - 86
Citations - 3871
Tomohiro Oda is an academic researcher from Universities Space Research Association. The author has contributed to research in topics: Greenhouse gas & Emission inventory. The author has an hindex of 27, co-authored 72 publications receiving 2532 citations. Previous affiliations of Tomohiro Oda include National Oceanic and Atmospheric Administration & Osaka University.
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Journal ArticleDOI
Potentially underestimated gas flaring activities—a new approach to detect combustion using machine learning and NASA’s Black Marble product suite
TL;DR: In this article , a new approach using machine learning (ML) for combustion detection from NASA's Black Marble product suite was proposed and the assessment of potential uncertainties through comparison with existing detections.
C167 Inter-annual variability in CO_2 exchange in Northern Eurasia inferred from GOSAT-XCO_2
Misa Ishizawa,Kazuo Mabuchi,Tomoko Shirai,Makoto Inoue,Isamu Morino,Yukio Yoshida,Rusulan Zhuravlev,Alex Ganshin,Dmitry Belikov,Makoto Saito,Tomohiro Oda,Vinu Valsala,Osamu Uchino,Tatsuya Yokota,Shamil Maksyutov +14 more
Posted ContentDOI
Characterizing major anthropogenic point sources in the South African Highveld region using OCO-3 carbon dioxide Snapshot Area Maps and Sentinel-5P/TROPOMI nitrogen dioxide columns
TL;DR: In this article , the authors characterize major anthropogenic point sources in the South African Highveld region using Orbiting Carbon Observatory-3 (OCO-3) Snapshot Area Map (SAM) carbon dioxide and Sentinel-5 Precursor (S5P) TROPOspheric Monitoring Instrument (TROPOMI) nitrogen dioxide (NO2) observations.
Journal ArticleDOI
Implementation-First Approach of Developing Formal Semantics of a Simulation Language in VDM-SL
TL;DR: In this paper , the development of a multi-agent simulation language called \remobidyc is described and examined as a case study of defining a formal specification after initial implementation and reflecting the specification into the implementation code.
Proceedings ArticleDOI
Algorithms for Analysis of Geolocation Error of Nightlight Satellite Data and Greenhouse Gas Data Calculated on Their Basis
TL;DR: In this paper, the authors developed an approach, algorithms and software to analyse the bias of nightlights remote sensing satellite data and corresponding bias calculated on the basis of global data on greenhouse gas emissions.