Articles | Volume 16, issue 7
https://doi.org/10.5194/essd-16-3369-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3369-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
24 Jul 2024
Data description article |
| 24 Jul 2024
| 24 Jul 2024
Retrieval of dominant methane (CH4) emission sources, the first high-resolution (1–2 m) dataset of storage tanks of China in 2000–2021
Fang Chen
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of Chinese Academy of Sciences, Beijing 100049, China
Lei Wang
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
Yu Wang
CORRESPONDING AUTHOR
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China
Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094 China
Haiying Zhang
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Ning Wang
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Pengfei Ma
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China
Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094 China
Bo Yu
CORRESPONDING AUTHOR
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
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Cited
12 citations as recorded by crossref.
- High-Resolution (0.9 m) terrace mapping in Low-Latitude hilly regions using deep learning and Area–Slope Denoising: A case study from Guangdong Province, China Y. Zhao et al. https://doi.org/10.1016/j.jag.2026.105126
- Cross-domain landslide mapping by harmonizing heterogeneous remote sensing datasets B. Yu et al. https://doi.org/10.1080/15481603.2025.2559457
- Rational design of efficient Ni-based CO2 methanation catalysts supported on attapulgite clay T. Lu et al. https://doi.org/10.1016/j.fuel.2026.140037
- Metal Thickness Measurement Using an Ultrasonic Probe with a Linear Actuator for a Magnet-Type Climbing Robot: Design and Development Y. Nishimura et al. https://doi.org/10.3390/act14060299
- Patch-based assessment of post-fire recovery after the 2003 Siberian wildfire T. Liu et al. https://doi.org/10.1016/j.jag.2026.105167
- Biochar: A Sustainable Solution for Mitigating Greenhouse Gas Emissions and Enhancing Soil Productivity—A Review A. Adekiya et al. https://doi.org/10.1155/sci5/5690423
- Drought-induced disaster Chains: A global perspective of propagation probabilities and mitigation priorities H. Jia et al. https://doi.org/10.1016/j.jclepro.2026.148519
- Retrieval of dominant methane (CH4) emission sources, the first high-resolution (1–2 m) dataset of storage tanks of China in 2000–2021 F. Chen et al. https://doi.org/10.5194/essd-16-3369-2024
- HRTBDA: a network for post-disaster building damage assessment based on remote sensing images F. Chen et al. https://doi.org/10.1080/17538947.2024.2418880
- Spatial and Temporal Variation Characteristics of Air Pollutants in Coastal Areas of China: From Satellite Perspective X. Yan et al. https://doi.org/10.3390/rs17111861
- Swin Transformer-Based Multiscale Attention Model for Landslide Extraction From Large-Scale Area M. Gao et al. https://doi.org/10.1109/TGRS.2024.3477910
- A Spike-Inspired Adaptive Spatial Suppression Framework for Large-Scale Landslide Extraction M. Gao et al. https://doi.org/10.3390/rs18010129
12 citations as recorded by crossref.
- High-Resolution (0.9 m) terrace mapping in Low-Latitude hilly regions using deep learning and Area–Slope Denoising: A case study from Guangdong Province, China Y. Zhao et al. https://doi.org/10.1016/j.jag.2026.105126
- Cross-domain landslide mapping by harmonizing heterogeneous remote sensing datasets B. Yu et al. https://doi.org/10.1080/15481603.2025.2559457
- Rational design of efficient Ni-based CO2 methanation catalysts supported on attapulgite clay T. Lu et al. https://doi.org/10.1016/j.fuel.2026.140037
- Metal Thickness Measurement Using an Ultrasonic Probe with a Linear Actuator for a Magnet-Type Climbing Robot: Design and Development Y. Nishimura et al. https://doi.org/10.3390/act14060299
- Patch-based assessment of post-fire recovery after the 2003 Siberian wildfire T. Liu et al. https://doi.org/10.1016/j.jag.2026.105167
- Biochar: A Sustainable Solution for Mitigating Greenhouse Gas Emissions and Enhancing Soil Productivity—A Review A. Adekiya et al. https://doi.org/10.1155/sci5/5690423
- Drought-induced disaster Chains: A global perspective of propagation probabilities and mitigation priorities H. Jia et al. https://doi.org/10.1016/j.jclepro.2026.148519
- Retrieval of dominant methane (CH4) emission sources, the first high-resolution (1–2 m) dataset of storage tanks of China in 2000–2021 F. Chen et al. https://doi.org/10.5194/essd-16-3369-2024
- HRTBDA: a network for post-disaster building damage assessment based on remote sensing images F. Chen et al. https://doi.org/10.1080/17538947.2024.2418880
- Spatial and Temporal Variation Characteristics of Air Pollutants in Coastal Areas of China: From Satellite Perspective X. Yan et al. https://doi.org/10.3390/rs17111861
- Swin Transformer-Based Multiscale Attention Model for Landslide Extraction From Large-Scale Area M. Gao et al. https://doi.org/10.1109/TGRS.2024.3477910
- A Spike-Inspired Adaptive Spatial Suppression Framework for Large-Scale Landslide Extraction M. Gao et al. https://doi.org/10.3390/rs18010129
Saved (final revised paper)
Latest update: 03 Jun 2026
Short summary
Storage tanks are responsible for approximately 25 % of CH4 emissions in the atmosphere, exacerbating climate warming. Currently there is no publicly accessible storage tank inventory. We generated the first high-spatial-resolution (1–2 m) storage tank dataset (STD) over 92 typical cities in China in 2021, totaling 14 461 storage tanks with the construction year from 2000–2021. It shows significant agreement with CH4 emission spatially and temporally, promoting the CH4 control strategy proposal.
Storage tanks are responsible for approximately 25 % of CH4 emissions in the atmosphere,...
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