从1985年起,加拿大森林的历史昆虫干扰地图是使用地球观测数据得出的
Pauline Perbet1, Luc Guindon2, David L P Correia2
1Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, QC, G1V 4C7, Canada. pauline.perbet@nrcan-rncan.gc.ca.
Scientific data
|November 25, 2025
概括
这项研究使用Landsat图像开发了加拿大北极森林中严重的昆虫害虫干扰的年度地图. 这一30米分辨率的数据集为改善森林监测和碳模型提供了长期记录.
科学领域:
- 林业林业 林业 林业 林业
- 遥感 遥感 遥感 遥感
- 生态生态学 生态生态学
背景情况:
- 昆虫爆发严重影响加拿大北极森林和碳监测.
- 目前的监测依赖于昂贵的空中调查,缺乏长期,对严重的树冠损失的一致数据.
研究的目的:
- 开发和评估1985年至2024年在加拿大严重的北极森林昆虫害虫干扰的年度地图.
- 通过使用卫星图像,提供与严重害虫相关的严重脱叶的标准化,长期记录.
主要方法:
- 利用了Landsat卫星图像,空间分辨率为30米.
- 开发了一种方法来绘制针叶树林每年的严重害虫干扰的地图.
- 对中度和重度害虫与非害虫类别的评估预测准确性.
主要成果:
- 对于聚合的中度和重度害虫类别,实现了90%的整体预测准确度.
- 创建了1985年至2024年每年严重干扰的历史数据集.
- 证明了Landsat数据对于一致的干扰映射的有用性.
结论:
- 开发的方法提供了一个有价值的,标准化的数据集,用于监测严重的昆虫害虫干扰.
- 这种历史记录为森林生态,碳模型和森林管理提供了洞察力.
- 卫星遥感为长期干扰监测提供了空中调查的经济有效的替代方案.
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