Modelling forest cover attributes as continuous variables in a regional context with Thematic Mapper data
Modelling forest cover attributes as continuous variables in a regional context with Thematic Mapper data
复制标题
使用专题制图器数据将森林覆盖属性建模为区域背景下的连续变量
DOI：
10.1080/01431160121472
复制
发表时间：
2001
影响因子：
3.4
通讯作者：
D. Oetter
中科院分区：
文献类型：
--
作者：
W. Cohen;T. Maiersperger;T. Spies;D. Oetter
我们模拟森林植被属性作为连续变量横跨西部俄勒冈州使用多图像镶嵌的专题制图仪（TM）数据。四个具体的属性进行建模，使用回归分析：百分比绿色植被覆盖，百分比针叶树覆盖，针叶树树冠直径，针叶林年龄。覆盖和直径属性的参考数据来自航空照片，现有的机构多边形数据库用于林分年龄。我们开发并应用了一种称为应用辐射归一化的区域制图新方法。该方法涉及的一组模型的开发位于中心的“源”场景，然后扩展到“目的地”场景（相邻的场景中的TM马赛克）。航空照片和现有数字数据库的使用与应用辐射标准化相结合，转化为利用TM数据进行区域制图的成本效益高的程序。将森林属性作为连续变量进行建模，可以建立一个灵活的森林覆盖信息库，其中包含各种相关分类办法的重要基本组成部分。
We modelled forest vegetation attributes as continuous variables across western Oregon using a multi-image mosaic of Thematic Mapper (TM) data. Four specific attributes were modelled using regression analysis: percent green vegetation cover, percent conifer cover, conifer crown diameter, and conifer stand age. Reference data for the cover and diameter attributes were derived from airphotos, and existing agency polygon databases were used for stand age. We developed and applied a new method for regional mapping called applied radiometric normalization. The method involved development of a set of models for a centrally located 'source' scene which were then extended to 'destination' scenes (neighboring scenes in the TM mosaic). Use of airphotos and existing digital databases in combination with applied radiometric normalization translates to a cost-effective procedure for regional mapping with TM data. Modelling forest attributes as continuous variables enables creation of a flexible forest cover information base, containing important fundamental building blocks for a variety of related classification schemes.