A google earth engine approach for anthropogenic forest fire assessment with remote sensing data in Rema-Kalenga wildlife sanctuary, Bangladesh
ABSTRACTDue to global climate change, fire dynamics around the world are changing around the world affecting regions more severely that had negligible exposure to forest fire. In this study, we assessed the effect of anthropogenic forest fire using the Normalized Burn Ratio in Rema-Kalenga Wildlife...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-01-01
|
| Series: | Geology, Ecology, and Landscapes |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/24749508.2023.2165297 |
| _version_ | 1797957030475988992 |
|---|---|
| author | Mohammed Ariful Khan Angana Kuri Sohag Ahammed Kazi Al Muqtadir Abir Mohammed A.S. Arfin-Khan |
| author_facet | Mohammed Ariful Khan Angana Kuri Sohag Ahammed Kazi Al Muqtadir Abir Mohammed A.S. Arfin-Khan |
| author_sort | Mohammed |
| collection | DOAJ |
| description | ABSTRACTDue to global climate change, fire dynamics around the world are changing around the world affecting regions more severely that had negligible exposure to forest fire. In this study, we assessed the effect of anthropogenic forest fire using the Normalized Burn Ratio in Rema-Kalenga Wildlife Sanctuary, Bangladesh while evaluating the relationship of this fire index with different spectral indices, and Soil and Vegetation properties. A Correlation and a regression analysis were used to examine the association of different variables with fire severity and One-way analysis of variances (ANOVA) test was also performed to inspect the damage done by fire and the regrowth potential of the forest ecosystem. According to the result, the total burned area was not alarming. Also, the relationship of fire index with spectral indices, and soil and vegetation properties have been meaningful to understand the impact of the forest fire in Rema-Kalenga. Additionally, significant effects of the fire on the variation of the different properties were also observed. Even though the quantity of burned area in this forest was not significant, fire management in the forest conservation strategies in Bangladesh should be heeded and incorporated to avoid future disasters, keeping in mind the future climate change. |
| first_indexed | 2024-04-10T23:59:01Z |
| format | Article |
| id | doaj.art-7efc2607ca594d22b4f5c9d40a9d0b2f |
| institution | Directory Open Access Journal |
| issn | 2474-9508 |
| language | English |
| last_indexed | 2024-04-10T23:59:01Z |
| publishDate | 2023-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geology, Ecology, and Landscapes |
| spelling | doaj.art-7efc2607ca594d22b4f5c9d40a9d0b2f2023-01-10T08:49:15ZengTaylor & Francis GroupGeology, Ecology, and Landscapes2474-95082023-01-0112210.1080/24749508.2023.2165297A google earth engine approach for anthropogenic forest fire assessment with remote sensing data in Rema-Kalenga wildlife sanctuary, BangladeshMohammed0Ariful Khan1Angana Kuri2Sohag Ahammed3Kazi Al Muqtadir Abir4Mohammed A.S. Arfin-Khan5Department of Forestry and Environmental Science, Shahjalal University of Science and Technology, Sylhet, BangladeshDepartment of Forestry and Environmental Science, Shahjalal University of Science and Technology, Sylhet, BangladeshDepartment of Forestry and Environmental Science, Shahjalal University of Science and Technology, Sylhet, BangladeshDepartment of Forestry and Environmental Science, Shahjalal University of Science and Technology, Sylhet, BangladeshDepartment of Forestry and Environmental Science, Shahjalal University of Science and Technology, Sylhet, BangladeshDepartment of Forestry and Environmental Science, Shahjalal University of Science and Technology, Sylhet, BangladeshABSTRACTDue to global climate change, fire dynamics around the world are changing around the world affecting regions more severely that had negligible exposure to forest fire. In this study, we assessed the effect of anthropogenic forest fire using the Normalized Burn Ratio in Rema-Kalenga Wildlife Sanctuary, Bangladesh while evaluating the relationship of this fire index with different spectral indices, and Soil and Vegetation properties. A Correlation and a regression analysis were used to examine the association of different variables with fire severity and One-way analysis of variances (ANOVA) test was also performed to inspect the damage done by fire and the regrowth potential of the forest ecosystem. According to the result, the total burned area was not alarming. Also, the relationship of fire index with spectral indices, and soil and vegetation properties have been meaningful to understand the impact of the forest fire in Rema-Kalenga. Additionally, significant effects of the fire on the variation of the different properties were also observed. Even though the quantity of burned area in this forest was not significant, fire management in the forest conservation strategies in Bangladesh should be heeded and incorporated to avoid future disasters, keeping in mind the future climate change.https://www.tandfonline.com/doi/10.1080/24749508.2023.2165297Forest fireGEEdNBRspectral indiciesclimate change |
| spellingShingle | Mohammed Ariful Khan Angana Kuri Sohag Ahammed Kazi Al Muqtadir Abir Mohammed A.S. Arfin-Khan A google earth engine approach for anthropogenic forest fire assessment with remote sensing data in Rema-Kalenga wildlife sanctuary, Bangladesh Geology, Ecology, and Landscapes Forest fire GEE dNBR spectral indicies climate change |
| title | A google earth engine approach for anthropogenic forest fire assessment with remote sensing data in Rema-Kalenga wildlife sanctuary, Bangladesh |
| title_full | A google earth engine approach for anthropogenic forest fire assessment with remote sensing data in Rema-Kalenga wildlife sanctuary, Bangladesh |
| title_fullStr | A google earth engine approach for anthropogenic forest fire assessment with remote sensing data in Rema-Kalenga wildlife sanctuary, Bangladesh |
| title_full_unstemmed | A google earth engine approach for anthropogenic forest fire assessment with remote sensing data in Rema-Kalenga wildlife sanctuary, Bangladesh |
| title_short | A google earth engine approach for anthropogenic forest fire assessment with remote sensing data in Rema-Kalenga wildlife sanctuary, Bangladesh |
| title_sort | google earth engine approach for anthropogenic forest fire assessment with remote sensing data in rema kalenga wildlife sanctuary bangladesh |
| topic | Forest fire GEE dNBR spectral indicies climate change |
| url | https://www.tandfonline.com/doi/10.1080/24749508.2023.2165297 |
| work_keys_str_mv | AT mohammed agoogleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT arifulkhan agoogleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT anganakuri agoogleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT sohagahammed agoogleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT kazialmuqtadirabir agoogleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT mohammedasarfinkhan agoogleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT mohammed googleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT arifulkhan googleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT anganakuri googleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT sohagahammed googleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT kazialmuqtadirabir googleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh AT mohammedasarfinkhan googleearthengineapproachforanthropogenicforestfireassessmentwithremotesensingdatainremakalengawildlifesanctuarybangladesh |