Climate Change Data Portal
| DOI | 10.1590/s1982-21702024000100005 |
| Contribution of SAR/Sentinel-1 images in the detection of burnt areas in the natural vegetation of the brazilian Pantanal biome | |
| 发表日期 | 2024 |
| ISSN | 1982-2170 |
| 起始页码 | 30 |
| 卷号 | 30 |
| 英文摘要 | The Brazilian Pantanal biome, known for its rich biodiversity and wetlands, is experiencing frequent and destructive fires. Detecting and monitoring burnt areas is vital for comprehending their present ecological condition, a key indicator for climate change and protective measures. Optical remote sensing methods, traditionally used in fire mapping, have limitations due to atmospheric conditions. Microwave Synthetic Aperture Radar (SAR) is a promising alternative, excelling in challenging environments and demonstrating sensitivity to surface properties. This study aimed to assesses the potential of SAR images for detecting burnt areas in a conservation unit inserted in the Brazilian Pantanal after intense fires in 2020. For this, the Normalized Burn Ratio (NBR) index was calculated from Sentinel -2 images before and after fire, and then the difference between these images (dNBR). Differences in backscatter coefficients of pre- and post -fire SAR/Sentinel-1 images in the two polarizations (dVH and dVV) were also calculated. To detect burnt areas, the three differences were classified using the Random Forest algorithm. The results showed adequate coincidence of burned areas between dVH and dVV compared to dNBR and high accuracy values of the algorithm model, indicating consistency between SAR and optical data in identifying burnt areas. |
| 英文关键词 | Burnt area detection; Forest fire; Sentinel-1; Brazilian Pantanal; Remote sensing; Synthetic Aperture Radar |
| 语种 | 英语 |
| WOS研究方向 | Geochemistry & Geophysics ; Remote Sensing |
| WOS类目 | Geochemistry & Geophysics ; Remote Sensing |
| WOS记录号 | WOS:001188295700001 |
| 来源期刊 | BOLETIM DE CIENCIAS GEODESICAS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/295921 |
| 作者单位 | Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA) |
| 推荐引用方式 GB/T 7714 | . Contribution of SAR/Sentinel-1 images in the detection of burnt areas in the natural vegetation of the brazilian Pantanal biome[J],2024,30. |
| APA | (2024).Contribution of SAR/Sentinel-1 images in the detection of burnt areas in the natural vegetation of the brazilian Pantanal biome.BOLETIM DE CIENCIAS GEODESICAS,30. |
| MLA | "Contribution of SAR/Sentinel-1 images in the detection of burnt areas in the natural vegetation of the brazilian Pantanal biome".BOLETIM DE CIENCIAS GEODESICAS 30(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
