Combining satellite imagery with forest inventory data to assess damage severity following a major blowdown event in northern Minnesota, USA
Combining satellite imagery with forest inventory data to assess damage severity following a major blowdown event in northern Minnesota, USA
复制标题
将卫星图像与森林清查数据相结合，评估美国明尼苏达州北部重大排污事件后的损失严重程度
DOI：
--
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Mark H. Hansen
中科院分区：
文献类型：
--
作者：
Mark D. Nelson;S. Healey;W. Keith Moser;Mark H. Hansen
利用北美森林动态方案处理的实地清查数据、航空草图和卫星图像数据，对美国明尼苏达州北方的一次灾难性排污事件的影响进行了评估。对干扰前后的森林面积和单位面积活树净体积以及干扰造成的单位面积体积和总体积的变化进行了估计。基于卫星图像的泄放面积估计数与从清单地块和航空草图得出的估计数相似。基于图像的损伤分类的总体准确率超过90%。与实地库存估计相比，基于图像的每单位面积排污后平均体积估计值相似，但总体积损失估计值大得多，尽管受损最严重的库存地块无法进入可能会降低基于库存的估计值。这是第一次应用状态模型差分风暴损失评估。基于图像的程序可适用于卫星图像的历史档案，不需要扰动前的实地盘存数据。
Effects of a catastrophic blowdown event in northern Minnesota, USA were assessed using field inventory data, aerial sketch maps and satellite image data processed through the North American Forest Dynamics programme. Estimates were produced for forest area and net volume per unit area of live trees pre- and post-disturbance, and for changes in volume per unit area and total volume resulting from disturbance. Satellite image-based estimates of blowdown area were similar to estimates derived from inventory plots and aerial sketch maps. Overall accuracy of the image-based damage classification was over 90%. Compared to field inventory estimates, image-based estimates of post-blowdown mean volume per unit area were similar, but estimates of total volume loss were substantially larger, although inaccessibility of the most severely damaged inventory plots may have depressed the inventory-based estimate. This represents the first application of state model differencing to storm damage assessment. The image-based procedure can be applied to historical archives of satellite imagery and does not require pre-disturbance field inventory data.