草业学报2017，Vol.26Issue(10)：30-45,16.DOI:10.11686/cyxb2017013
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
Automatic classification of grassland type in Xinjiang Ili based on spatial interpolation of remote sensing and other data
摘要
Abstract
With support of remote sensing and geographic information system technology,the inventory of grassland types in China has advanced rapidly.This study used a range of input data including among others grassland community height,ground cover,aboveground biomass,underground biomass,the surface soil bulk density,soil total carbon content,soil organic carbon content,soil total nitrogen content,and soil total phosphorus content.With the collected data,a spatial interpolation algorithm was applied using a Decision Tree Classifier approach to produce an automated classification and index of grassland type in Xinjiang Ili.The grassland types identified based on these nine input variables,consistently matched grassland survey data collected in the 1980s,and showed the methodology to be reliable This study provides a tool for decision mak ers involved in managing the utilization of grassland resources and livestock production in the Xinjiang Ili region.关键词
空间插值/决策树分类法/草地自动判别Key words
spatial interpolation/Decision Tree Classifier/grassland types automatic discriminant引用本文复制引用
乔宇鑫,朱华忠,邵小明,钟华平,周李磊,伍兆文..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[J].草业学报,2017,26(10):30-45,16.基金项目
国家科技基础性工作专项(2012FY111900-2,2011FY110400-3),国家科技基础条件平台-地球系统科学数据共享平台(2005DKA32300),科技基础性工作专项-科技基础性工作数据资料集成与规范化整编项目和西藏饲草产业专项(2016ZDKJZC,2017ZDKJZC)资助. （2012FY111900-2,2011FY110400-3）
