...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Scandinavian Journal of Forest Research >Adapting Finnish multi-source forest inventory techniques to the New Zealand preharvest inventory.
【24h】

Adapting Finnish multi-source forest inventory techniques to the New Zealand preharvest inventory.

机译：使芬兰的多来源森林清单技术适应新西兰的收获前清单。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

To measure many small areas in a forest, each to the required detail and precision, and sufficiently frequently, is too expensive using ground-based inventories alone. The Finnish satellite image-aided National Forest Inventory (NFI) method was modified and tested with a view to developing a new preharvesting forest inventory method for assessing the volumes of potential timber assortments (log products) in New Zealand radiata pine (Pinus radiata) plantations. Data from 188 ground plots were supplied by a forest company for a 1000 ha block of radiata pine. This material was combined with known stand boundaries from maps and data from a Landsat TM (thematic mapper) image in order to predict for each pixel and each stand the pruned and unpruned sawlog, pulp and total standing volumes. A k-nearest neighbour algorithm was applied for the estimation. Some stand characteristics, obtained from stand histories, were used as co-variates, in addition to spectral features. Cross-validation tests indicated that estimates of plot variables were unbiased, although they had high Root Mean Square Errors (RMSEs). Stand level estimates were also unbiased on average, but showed high RMSEs. Research into the effects of stratification and methods by which to segmentstands into sub-areas uniform with respect to timber assortments is continuing.
机译：要测量森林中的许多小面积区域，每个区域都必须达到所需的详细信息和精度，而且要足够频繁，因此仅使用地面清单就太昂贵了。修改并测试了芬兰卫星影像辅助的国家森林清单（NFI）方法，目的是开发一种新的采伐前森林清单方法，以评估新西兰辐射松（Pinus radiata）人工林的潜在木材分类（原木）的数量。一家林业公司提供了188块土地的数据，用于一块1000公顷的辐射松。将该材料与来自地图的已知林分边界和Landsat TM（专题制图仪）图像的数据相结合，以便针对每个像素和每个林分预测修剪和未修剪的锯木，纸浆和总站立体积。 k近邻算法用于估计。除光谱特征外，还将一些从林分历史中获得的林分特征用作协变量。交叉验证测试表明，尽管情节变量的估计值具有很高的均方根误差（RMSE），但估计值是无偏的。展位水平的估计值平均也无偏见，但显示出较高的RMSE。分层效果的研究以及将立木分割成与木材分类一致的分区的方法仍在继续。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号