基于空间插值数据支持下新疆伊犁地区草地类型判别与分类研究
发布时间:2018-03-10 19:01
本文选题:空间插值 切入点:决策树分类法 出处:《草业学报》2017年10期 论文类型:期刊论文
【摘要】:在遥感和地理信息系统技术支持下,我国草地类型学研究有新的进展。本研究在伊犁地区草地群落高度、盖度、地上生物量、地下生物量、草地表层土壤容重、土壤全碳、土壤有机碳、土壤全氮、土壤全磷等空间分布数据的基础上,通过对不同草地类型不同指标的特征值分析,研究确定各草地类型不同指标的阀值范围,采用决策树分类法,实现新疆伊犁地区草地类型自动判别。研究结果表明,利用伊犁地区不同草地类型在群落高度、盖度、地上生物量、地下生物量、草地表层土壤容重、土壤全碳、土壤有机碳、土壤全氮、土壤全磷9个指标的特征值作为草地类型划分的依据,可以简单直观地反映各类草地的空间分布面积和分布范围,与20世纪80年代草地调查数据比较,分布趋势一致,结果可靠。同时,本研究为伊犁地区草地资源利用管理提供基础,为伊犁地区草地资源监测和信息管理平台建设提供依据,对于指导新疆伊犁地区草地畜牧业生产具有现实意义。
[Abstract]:With the support of remote sensing and geographic information system technology, the grassland types in China study have new progress. The research in the area of Yili grassland community height, coverage, aboveground biomass, underground biomass, surface soil bulk density of grassland, soil total carbon, soil organic carbon, soil total nitrogen, soil total phosphorus distribution data base space, through the analysis of the characteristics of different indexes of different grassland types, research to determine the different indicators of all types of grassland in the range of threshold, using the decision tree classification method, realize the automatic identification of grassland types in Xinjiang area of Yili. The results also showed that the use of different types of grassland in the Yili area community height, coverage, aboveground biomass. The underground biomass, surface soil bulk density of grassland, soil total carbon, soil organic carbon, soil total nitrogen, soil total phosphorus characteristic value of 9 indicators as the basis for the division of grassland types, can be simple and intuitive reflect all kinds of 鑽夊湴鐨勭┖闂村垎甯冮潰绉拰鍒嗗竷鑼冨洿,涓,
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