遥感数据结合地统计学方法在林业中的应用

在林业研究中，具有空间属性的林业数据分析、建模和预测越来越受到关注。遥感技术与地统计学方法相结合，提供了大尺度空间格局分析、森林资源动态监测和预测的方法。文中简单介绍了遥感技术与地统计学的方法和特点，从监测与分类、估计与模拟2个方面综述地统计学结合遥感技术在林业中的应用，并针对遥感数据结合地统计学方法在林业研究中存在的问题加以讨论。

Application of Remote Sensing Data in Combination with Geostatistics to Forestry

In the forestry research, the analysis, modeling and prediction of forestry data with spatial attributes has attracted increasing attentions. The combination of remote sensing technology and geostatistics provides a method for the large-scale spatial pattern analysis and dynamic monitoring and prediction of forest resources. This paper briefly introduced the methods and characteristics of remote sensing technology and geostatistics, reviewed the application of geostatistics and remote sensing technology to forestry from the aspects of monitoring and classification as well as estimation and simulation, and discussed the problems existing in the use of remote sensing data and geostatistics in forestry research.