摘要
针对传统景观格局分析方法的数据局限性,该文提出了一种基于数字高程模型地形信息量的景观格局预测分析方法。结合信息熵理论,利用数字高程模型计算地形信息量,研究不同分级地形信息量下景观格局特征的变化特征,以及不同景观类型在不同地形信息量等级的分布特征,对具有相似地形特征的区域建立利用地形信息量对其景观格局特征进行预测分析的方法。该文选择珠海市地形特征相似的两个区域进行了试验分析,对珠海市斗门区建立基于数字高程模型地形信息量的景观格局预测方法,预测在相似地形特征下南坪镇的景观格局特征,并以南坪镇真实的景观特征进行验证。实验结果显示,基于数字高程模型地形信息量的邻域景观预测分析方法不仅能正确预测分析不同地形信息量下的景观分析指数,同时也能正确预测不同景观类型的空间分布特征。
Aiming at the data source limitation of traditional landscape pattern analysis, a method was proposed in this paper, which based on the digital elevation model （DEM）terrain information capaci- ty. Combining with the theory of information entropy, DEM was used to calculate the terrain information capacity, meanwhile according to the method of landscape pattern analysis, the characteristics of land- scape pattern under different level of terrain information capacity was studied, and the same has been done for the distribution of different landscape types in different levels of terrain information capacity. Then the landscape pattern prediction method was established, Zhuhai city was chosen as the experimental area, especially the terrain and landscape data of Zhuhai Doumen district, the landscape pattern prediction model based on DEM terrain information was built, including the correlation model of landscape analysis index and the terrain information capacity, and the terrain information analysis model under different landscape types. Finally, with this model, landscape pattern was predicted and verified with real data, the results showed that the DEM terrain information capacity landscape prediction model could not only predict the landscape analysis under different terrain information index, but also correctly predict the spatial distribu- tion characteristics of different landscape pattern.
出处
《测绘科学》
CSCD
北大核心
2016年第4期37-43,49,共8页
Science of Surveying and Mapping
基金
武汉大学自主科研项目(2014205020203)
测绘地理信息公益性行业科研专项经费项目(201512032)
关键词
数字高程模型
地形信息量
景观格局预测
DEM
terrain information capacity
landscape pattern prediction
