摘要
探讨基于DEM地形信息量的景观预测方法,为相似地区景观预测提供参考。本文基于信息熵理论和DEM地形信息量,研究不同地形信息量等级下的景观指数和景观格局的变化特征,构建标准化处理后的地形信息量和景观指数的回归模型,对具有相似地形的区域进行预测。结果表明:针对广西北部湾区域特征相似的两个流域,其景观分布规律一致,景观指数误差基本保持在0.2以内。基于DEM地形信息量的景观预测方法可有效预测相似区域的景观分布特征。
This study was aimed to explore the landscape prediction method based on DEM terrain information, and to provide reference for landscape prediction in similar areas. Based on the information entropy theory and DEM topographic information capacity, the changes of landscape index and landscape pattern under different terrain information levels are studied, and the regression model of the topographic information capacity and landscape index after standardization is constructed to predict the regions with similar terrain. The results show that the two river basin with similar characteristics in the Guangxi Beibu Gulf, the landscape distribution are consistent, the error of the landscape index are almost kept at within 0.2.Therefore,The method of landscape prediction based on DEM terrain information capacity can effectively predict the landscape distribution characteristics of similar areas.
作者
张广
刘彦花
李彪
ZHANG Guang;LIU Yanhua;LI Biao(School of Geography and Planning,Nanning Normal University,Nanning Guangxi 530001,China;School of Natural Resources and Surveying,Nanning Normal University,Nanning Guangxi 530001,China;Guangxi Forest Inventory & Planning Institute,Nanning Guangxi 530011,China)
出处
《北京测绘》
2019年第8期867-871,共5页
Beijing Surveying and Mapping
基金
国家自然科学基金(41461116)
广西自然科学基金(2015GXNSFAA139234)
北部湾环境演变与资源利用教育部重点实验室和广西地表过程与智能模拟重点实验室开放基金(GTEU-KLOP-K1701)
关键词
地形信息量
数字高程模型(DEM)
信息熵
景观指数
terrain information capacity
Digital Elevation Model (DEM)
information entropy
landscape index
作者简介
张广(1993-),男,吉林榆树人,硕士在读,研究方向为地理信息科学。E-mail:875686222@qq.com;通讯作者: 刘彦花,E-mail:369737045@qq.com.
