| 注册
首页|期刊导航|山东国土资源|基于地理模型和多源遥感的林草生态综合监测方法

基于地理模型和多源遥感的林草生态综合监测方法

闫振国 王锦辉 张海建

山东国土资源2024,Vol.40Issue(1):52-57,6.
山东国土资源2024,Vol.40Issue(1):52-57,6.DOI:10.12128/j.issn.1672-6979.2024.01.008

基于地理模型和多源遥感的林草生态综合监测方法

Integrated Monitoring Method for Forest and Grass Ecology Based on Geographic Models and Multi-source Remote Sensing

闫振国 1王锦辉 2张海建1

作者信息

  • 1. 山东省地质测绘院,山东 济南 250002
  • 2. 西安博深海思软件有限公司,陕西 西安 710000
  • 折叠

摘要

Abstract

Accompanying with continuous development of ecosystem protection,forest-grass ecosystems have become a key issue that should be paid more attention.Analyzing present condition of forest and grass ecological monitoring can determine the problems that currently exist in forest and grass ecological monito-ring.A comprehensive monitoring method for forest and grass ecology based on geographic models and multi-source remote sensing has been proposed to address issues,such as insufficient remote sensing im-age analysis capabilities and insufficient accuracy of monitoring results in current process of comprehensive monitoring of forest and grass ecology.Remote sensing images have been collected,and 3D calibration and preprocessing work has been finished.By using texture feature extraction and support vector machine algo-rithm,remote sensing images for forest and grass ecological environment has been studied.By using multi-source remote sensing technology,a geographically weighted regression model for monitoring forest and grass map patches has been constructed.Importing the patches into the Markov matrix model,the monito-ring results of comprehensive changes in forest and grassland ecology have been obtaiined.Thus,the de-sign of a comprehensive monitoring method for forest and grass ecology based on geographic models and multi-source remote sensing has been completed.Through experiments,it has been confirmed that the remote sensing image classification accuracy and monitoring accuracy of this method are superior to the current method.

关键词

地理模型/多源遥感技术/林草生态综合监测/林业调查/地理加权回归模型/卫星数据处理/日照市莒县

Key words

Geographic model/multi-source remote sensing technology/comprehensive forest and grass ecological monitoring/forestry survey/geographical weighted regression model/satellite data processing/Juxian county in Rizhao city

分类

天文与地球科学

引用本文复制引用

闫振国,王锦辉,张海建..基于地理模型和多源遥感的林草生态综合监测方法[J].山东国土资源,2024,40(1):52-57,6.

基金项目

山东省地质测绘院科技创新发展基金(KY202303) (KY202303)

山东国土资源

1672-6979

访问量3
|
下载量0
段落导航相关论文