Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platform
This research aims to find crop-based residue burning (CRB) amounts for the Southeastern Anatolia Region of Türkiye, where versatile and diverse of agricultural fields are available. We used the time series of Sentinel-2 images to identify spatial distribution of different crop types and to determin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10106049.2022.2157052 |
| _version_ | 1797681562503872512 |
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| author | Kübra Bahşi Beyza Ustaoğlu Samet Aksoy Elif Sertel |
| author_facet | Kübra Bahşi Beyza Ustaoğlu Samet Aksoy Elif Sertel |
| author_sort | Kübra Bahşi |
| collection | DOAJ |
| description | This research aims to find crop-based residue burning (CRB) amounts for the Southeastern Anatolia Region of Türkiye, where versatile and diverse of agricultural fields are available. We used the time series of Sentinel-2 images to identify spatial distribution of different crop types and to determine the burned agricultural fields in 2019 using Google Earth Engine platform. We implemented Intergovernmental Panel on Climate Change standards to calculate the emissions from Greenhouse gases and Particulate Matter. We also analyzed Sentinel-5P images to generate Nitrogen Dioxide maps and compared them with crop-based emission calculations. Our analysis illustrated that 14,444.307 Gg of Greenhouse Gases and 117.809 Gg of Particulate Matters were released in 2019 due to CRB practices. Our results can potentially improve the national statistics by providing spatio-temporal field-based CRB emissions and supporting country-level agricultural decision-making processes. Researchers could implement our proposed data and methodology in other regions suffering from the CRB problem. |
| first_indexed | 2024-03-11T23:46:40Z |
| format | Article |
| id | doaj.art-13cb786cc53b402fa27462c48f1ed553 |
| institution | Directory Open Access Journal |
| issn | 1010-6049 1752-0762 |
| language | English |
| last_indexed | 2024-03-11T23:46:40Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj.art-13cb786cc53b402fa27462c48f1ed5532023-09-19T09:13:17ZengTaylor & Francis GroupGeocarto International1010-60491752-07622023-12-0138110.1080/10106049.2022.21570522157052Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platformKübra Bahşi0Beyza Ustaoğlu1Samet Aksoy2Elif Sertel3Graduate Enstitute, Geomatics Engineneering Program, Istanbul Technical UniversityDepartment of Geography, Faculty of Humanities and Social Sciences, Sakarya UniversityDepartment of Geomatics Engineering, Istanbul Technical UniversityDepartment of Geomatics Engineering, Istanbul Technical UniversityThis research aims to find crop-based residue burning (CRB) amounts for the Southeastern Anatolia Region of Türkiye, where versatile and diverse of agricultural fields are available. We used the time series of Sentinel-2 images to identify spatial distribution of different crop types and to determine the burned agricultural fields in 2019 using Google Earth Engine platform. We implemented Intergovernmental Panel on Climate Change standards to calculate the emissions from Greenhouse gases and Particulate Matter. We also analyzed Sentinel-5P images to generate Nitrogen Dioxide maps and compared them with crop-based emission calculations. Our analysis illustrated that 14,444.307 Gg of Greenhouse Gases and 117.809 Gg of Particulate Matters were released in 2019 due to CRB practices. Our results can potentially improve the national statistics by providing spatio-temporal field-based CRB emissions and supporting country-level agricultural decision-making processes. Researchers could implement our proposed data and methodology in other regions suffering from the CRB problem.http://dx.doi.org/10.1080/10106049.2022.2157052crop residue burningsentinel-5psentinel-2air qualitygreenhouse gases |
| spellingShingle | Kübra Bahşi Beyza Ustaoğlu Samet Aksoy Elif Sertel Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platform Geocarto International crop residue burning sentinel-5p sentinel-2 air quality greenhouse gases |
| title | Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platform |
| title_full | Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platform |
| title_fullStr | Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platform |
| title_full_unstemmed | Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platform |
| title_short | Estimation of emissions from crop residue burning in Türkiye using remotely sensed data and the Google Earth Engine platform |
| title_sort | estimation of emissions from crop residue burning in turkiye using remotely sensed data and the google earth engine platform |
| topic | crop residue burning sentinel-5p sentinel-2 air quality greenhouse gases |
| url | http://dx.doi.org/10.1080/10106049.2022.2157052 |
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