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An Interactive GEE Application for Burned Area Mapping Using ΔNBR Thresholding and Machine Learning: A Case Study from the 2025 Bilecik–Sakarya Wildfire, Türkiye
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| Published in: | International Journal of Engineering and Geosciences |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1869300520166883328 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Engineering and Geosciences |
| description | |
| discipline_display | Geology |
| discipline_facet | Geology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:96937 |
| institution | FRELIP |
| journal_source_facet | International Journal of Engineering and Geosciences |
| last_indexed | 2026-06-29T03:31:35.218Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | An Interactive GEE Application for Burned Area Mapping Using ΔNBR Thresholding and Machine Learning: A Case Study from the 2025 Bilecik–Sakarya Wildfire, Türkiye Geology General Geology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Geology General Geology |
| subject_facet | Geology General Geology |
| title | An Interactive GEE Application for Burned Area Mapping Using ΔNBR Thresholding and Machine Learning: A Case Study from the 2025 Bilecik–Sakarya Wildfire, Türkiye |
| title_alt | Una aplicación GEE interactiva para el mapeo de áreas quemadas mediante umbralización ΔNBR y aprendizaje automático: un estudio de caso del incendio forestal de Bilecik–Sakarya 2025, Türkiye Une application GEE interactive pour la cartographie des zones brûlées utilisant le seuillage ΔNBR et l'apprentissage automatique : une étude de cas de l'incendie de Bilecik–Sakarya 2025, Türkiye Uma Aplicação Interativa do GEE para Mapeamento de Áreas Queimadas Usando Limiarização ΔNBR e Aprendizado de Máquina: Um Estudo de Caso do Incêndio Florestal de Bilecik–Sakarya de 2025, Türkiye |
| title_auth | An Interactive GEE Application for Burned Area Mapping Using ΔNBR Thresholding and Machine Learning: A Case Study from the 2025 Bilecik–Sakarya Wildfire, Türkiye |
| title_es_txt | Una aplicación GEE interactiva para el mapeo de áreas quemadas mediante umbralización ΔNBR y aprendizaje automático: un estudio de caso del incendio forestal de Bilecik–Sakarya 2025, Türkiye |
| title_fr_txt | Une application GEE interactive pour la cartographie des zones brûlées utilisant le seuillage ΔNBR et l'apprentissage automatique : une étude de cas de l'incendie de Bilecik–Sakarya 2025, Türkiye |
| title_full | An Interactive GEE Application for Burned Area Mapping Using ΔNBR Thresholding and Machine Learning: A Case Study from the 2025 Bilecik–Sakarya Wildfire, Türkiye |
| title_fullStr | An Interactive GEE Application for Burned Area Mapping Using ΔNBR Thresholding and Machine Learning: A Case Study from the 2025 Bilecik–Sakarya Wildfire, Türkiye |
| title_full_unstemmed | An Interactive GEE Application for Burned Area Mapping Using ΔNBR Thresholding and Machine Learning: A Case Study from the 2025 Bilecik–Sakarya Wildfire, Türkiye |
| title_pt_txt | Uma Aplicação Interativa do GEE para Mapeamento de Áreas Queimadas Usando Limiarização ΔNBR e Aprendizado de Máquina: Um Estudo de Caso do Incêndio Florestal de Bilecik–Sakarya de 2025, Türkiye |
| title_short | An Interactive GEE Application for Burned Area Mapping Using ΔNBR Thresholding and Machine Learning: A Case Study from the 2025 Bilecik–Sakarya Wildfire, Türkiye |
| title_sort | an interactive gee application for burned area mapping using δnbr thresholding and machine learning: a case study from the 2025 bilecik–sakarya wildfire, türkiye |
| topic | Geology General Geology |
| url | https://dergipark.org.tr/en/pub/ijeg/article/1798639%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20 |