在泰国使用Sentinel-2图像和OBIA技术绘制火灾地区的地图
Chanida Suwanprasit1, Shahnawaz2
1Department of Geography, Faculty of Social Sciences, Chiang Mai University, Chiang Mai, Thailand. chanida.suwanprasit@cmu.ac.th.
Scientific reports
|April 26, 2024
概括
基于对象的图像分析 (OBIA) 与Sentinel-2A卫星数据相结合,有效地绘制了泰国被烧毁的农业区域. 这种方法实现了85.2%的准确性,为全国范围的监测提供了有希望的解决方案.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理空间分析是什么
背景情况:
- 在像泰国这样的热带地区,监测收获后烧毁的地区至关重要.
- 高分辨率的Sentinel-2卫星数据提供了高效的绘图功能.
- 在全国范围内自动化农业残留物制图提出了重大挑战.
研究的目的:
- 评估基于对象的图像分析 (OBIA) 与Sentinel-2A数据相结合的有效性,用于绘制燃烧区域的地图.
- 为了分类不同的土地覆盖类型,包括森林,农业,水和烧毁的地区.
- 为了评估OBIA衍生的烧伤区域地图的准确性.
主要方法:
- 使用 Sentinel-2A Level-1C MSI 图像从 2018 年 2 月 27 日开始.
- 应用基于对象的图像分析 (OBIA) 算法用于图像分类.
- 使用原始的哨兵-2A频段和NDVI.优化了细分规模参数 (50).
- 土地覆盖被分为森林,农业,水体,新燃烧和旧燃烧地区.
主要成果:
- 在泰国清迈的选定的地区,OBIA方法成功地识别和分类了被烧毁的区域.
- 分段尺度参数是使用特定的光谱带和NDVI来确定的.
- 在与现有数据集进行验证时,生成的燃烧区域地图的准确性达到85.2%.
结论:
- 整合OBIA和Sentinel-2A数据 (10米分辨率) 对于烧毁区域的绘制非常有效.
- 这种方法在热带国家实现了全国范围的燃烧区域监测自动化方面具有显著的前景.
- 准确地绘制燃烧的农田地图对于环境管理和政策制定至关重要.
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