首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于集合卡尔曼滤波的森林面积动态预测
引用本文:惠雪峰,刘应安,夏业茂.基于集合卡尔曼滤波的森林面积动态预测[J].林业调查规划,2011,36(5):1-4.
作者姓名:惠雪峰  刘应安  夏业茂
作者单位:1. 南京林业大学森林资源与环境学院,江苏南京,210037
2. 南京林业大学理学院应用数学系,江苏南京,210043
摘    要:对集合卡尔曼滤波的原理和算法进行了介绍,利用全国1950~1998年5次森林普查的森林面积数据作为样本,用集合Kalman滤波对森林面积动态作出估计与预测,经检验,效果良好.现有的研究成果也初步表明,采用集合卡尔曼滤波预测森林资源是一种较好的森林资源预测方法.

关 键 词:集合Kalman滤波  森林面积  动态预测

The Forest Area Forecast Based on the Ensemble Kalman Filtering
HUI Xue-feng , LIU Ying-an , XIA Ye-mao.The Forest Area Forecast Based on the Ensemble Kalman Filtering[J].Forest Inventory and Planning,2011,36(5):1-4.
Authors:HUI Xue-feng  LIU Ying-an  XIA Ye-mao
Institution:1.College of Forestry and Environment,Nanjing Forestry University,Nanjing 210037,China;2.Department of Applied Mathematics,Nanjing Forestry University,Nanjing 210043,China)
Abstract:The principle and algorithm of Ensemble Kalman filtering are introduced, and taking the 1950 - 1998 five forest census data as samples, the estimation and prediction of dynamic forest area is made by using Ensemble kalman filtering. The results showed that, using Ensemble kalman filtering for prediction of forest resources is a better forest resources prediction method.
Keywords:Ensemble Kalman filtering  forest area  dynamic prediction
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号