Phenological differences in Tasseled Cap indices improve deciduous forest classification
Phenological differences in Tasseled Cap indices improve deciduous forest classification
复制标题
DOI：
10.1016/s0034-4257(01)00324-8
复制
发表时间：
2002-06-01
影响因子：
13.5
通讯作者：
Radeloff, VC
中科院分区：
文献类型：
--
作者：
Dymond, CC;Mladenoff, DJ;Radeloff, VC
遥感需要澄清不同方法的优点，以便它们能够一致地应用于森林管理和生态学。在卫星图像中使用物候信息和使用植被指数都独立地改进了北温带森林的分类。将这些信息来源结合起来进行变化检测，对于基于高级甚高分辨率辐射计图像的大陆尺度土地覆盖分类是有效的。我们的目标是测试，如果使用植被指数和变化分析的多季图像也可以提高分类精度的落叶林景观尺度。我们使用陆地卫星专题制图仪（TM）的场景，对应于杨属。叶上和栎属，叶关闭（5月），高峰夏季（8月），槭属。峰色（9月）、槭属（Acer spp.）和杨属（Populus spp.）叶关闭（10月）。从图像中获得的输入数据文件是：（1）来自所有日期的TM波段3、4和5;（2）来自所有日期的归一化差异植被指数（NDVI）;（3）来自所有日期的流苏帽亮度、绿度和湿度（BGB）;（4）TM波段3、4和5从一个日期到下一个日期的差异;（5）NDVI从一个日期到下一个日期的差异;（6）不同日期BGW的差异。上述落叶属分类的总体KHAT分别为0.48、0.36、0.33、0.38、0.26、0.43。最高的准确性出现在TNI带3，4，5（61.0%的落叶属，67.8%的所有纲）或从BGW的差异（61.0%的落叶属，67.8%的所有纲）。然而，流苏帽分类的差异更准确地将落叶灌木和采伐林分从封闭的林冠林中分离出来。我们的研究结果表明，森林的物候变化是最准确地捕捉图像差分和流苏帽指数相结合。(C)2002年爱思唯尔科技有限公司All rights reserved.
Remote sensing needs to clarify, the strengths of different methods so they can be consistently applied in forest management and ecology. Both the use of phenological information in satellite imagery and the use of vegetation indices have independently improved classifications of north temperate forests. Combining these sources of information in change detection has been effective for land cover classifications at the continental scale based on Advanced 'Very High Resolution Radiometer (AVHRR) imagery. Our objective is to test if using vegetation indices and change analysis of multiseasonal imagery can also improve the classification accuracy of deciduous forests at the landscape scale. We used Landsat Thematic Mapper (TM) scenes that corresponded to Populus spp. leaf-on and Quercus spp, leaf-off (May), peak summer (August), Acer spp. peak color (September),Acer spp. and Populus spp. leaf-off (October). Input data files derived from the imagery were: (1) TM Bands 3, 4, and 5 from all dates; (2) Normalized Difference vegetation Index (NDVI) from all dates; (3) Tasseled Cap brightness, greenness, and wetness (BGB) from all dates; (4) difference in TM Bands 3, 4, and 5 from one date to the next; (5) difference in NDVI from one date to the next; and (6) difference in BGW from one date to the next. The overall kappa statistics (KHAT) for the aforementioned classifications of deciduous genera were 0.48, 0.36, 0.33, 0.38, 0.26, 0.43, respectively. The highest accuracies occurred from TNI Bands 3, 4, and 5 (61.0% for deciduous genera, 67.8% for all classes) or from the difference in BGW (61.0% for deciduous genera, 67.8% for all classes). However, the difference in Tasseled Cap classification more accurately separated deciduous shrubs and harvested stands from closed canopy forest. Our results indicate that phenological change of forest is most accurately captured by combining image differencing and Tasseled Cap indices. (C) 2002 Elsevier Science Inc. All rights reserved.