Articles | Volume 24, issue 22
https://doi.org/10.5194/acp-24-12843-2024
© 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/acp-24-12843-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Nov 2024
Research article |
| 20 Nov 2024
| 20 Nov 2024
Emissions of methane from coal fields, thermal power plants, and wetlands and their implications for atmospheric methane across the south Asian region
Mahalakshmi Venkata Dangeti
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Hyderabad, 500037, India
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Hyderabad, 500037, India
Kanchana Lakshmi Asuri
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Hyderabad, 500037, India
Sujatha Peethani
formerly at: The International Center for Agricultural Research in the Dry Areas, Cairo, Egypt
Ibrahim Shaik
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Hyderabad, 500037, India
Rajan Krishnan Sundara
Lab for Spatial Informatics, International Institute of Information Technology (IIIT), Hyderabad, 5000084, India
Vijay Kumar Sagar
Indian Institute of Tropical Meteorology (IITM), Pune, 411008, India
Raja Pushpanathan
ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Koraput, Odisha, 763002, India
Yogesh Kumar Tiwari
Indian Institute of Tropical Meteorology (IITM), Pune, 411008, India
Prakash Chauhan
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Hyderabad, 500037, India
Related authors
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Pramit Kumar Deb Burman, Amol Kale, Yogesh K. Tiwari, Suraj Reddy Rodda, Sandipan Mukherjee, Pulakesh Das, Arunima Jayachandran, Dipankar Sarma, Palingamoorthy Gnanamoorthy, Nirmali Gogoi, Somnath Baidya Roy, Ganapati S. Bhat, and Kazuhito Ichii
EGUsphere, https://doi.org/10.5194/egusphere-2026-3597, https://doi.org/10.5194/egusphere-2026-3597, 2026
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Short summary
Accurate estimates of terrestrial carbon uptake are required to strategise effective climate mitigation measures. Several remotely sensed and modelled global datasets are available for such purposes, none of which is developed using in-situ measurements from India. We objectively evaluated the performance of these datasets over India. We find that machine learning algorithms perform best over croplands and forests, whereas satellite observations perform better over grasslands.
Shreya and K. S. Rajan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 671–677, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-671-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-671-2023, 2023
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Short summary
The present study investigated the space–time variability of XCH4 over coal fields, power plants, and wetlands using long-term GOSAT and S5/TROPOMI data. The XCH4 variability associated with the heterogenous sources present in the south Asian (India) region and their implications for atmospheric XCH4 concentrations were evaluated. The CH4 concentrations were mapped against the emissions in the agro-climatic zones, and a statistically high correlation was found in the Indo-Gangetic Plain region.
The present study investigated the space–time variability of XCH4 over coal fields, power...
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