首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于空间插值技术和辅助信息的吉林省玉米土地生产潜力研究
引用本文:石淑芹,陈佑启,李正国,杨鹏,吴文斌,汤芳.基于空间插值技术和辅助信息的吉林省玉米土地生产潜力研究[J].干旱地区农业研究,2011,29(5):209-218.
作者姓名:石淑芹  陈佑启  李正国  杨鹏  吴文斌  汤芳
作者单位:1. 天津工业大学管理学院,天津300387;
2. 农业部资源遥感与数字农业重点开放实验室,北京100081;中国农业科学院农业资源与农业区划研究所,北京100081
3. 武汉市土地储备整理中心,湖北武汉,430010
基金项目:国家重点基础研究发展计划973计划项目,国家自然科学基金,教育部人文社会科学研究项目,天津市科技支撑项目
摘    要:为提高作物生产潜力估算精度,利用GIS技术,将作物生产力逐步衰减模型与ArcGIS空间分析中GRID建模相结合,建立了作物生产潜力模型,并利用空间插值技术和辅助信息对估算光温-气候-土地生产潜力所需的气象和土壤要素等进行了重点模拟.其中,采用多元回归+残差内插方法,对吉林省气象站点观测的温度和降水数据进行了空间模拟;将...

关 键 词:生产潜力  空间插值  辅助信息  GIS

Study on land productivity potential of maize in Jilin Province based on spatial interpolation technique and auxiliary information
SHI Shuqin,CHEN Youqi,LI Zhengguo,YANG Peng,WU Wenbin,TANG Fang.Study on land productivity potential of maize in Jilin Province based on spatial interpolation technique and auxiliary information[J].Agricultural Research in the Arid Areas,2011,29(5):209-218.
Authors:SHI Shuqin  CHEN Youqi  LI Zhengguo  YANG Peng  WU Wenbin  TANG Fang
Institution:School of Management, Tianjin Polytechnic University, Tianjin 300387, China;Key Laboratory of Resources Remote Sensing & Digital Agriculture of Ministry of Agriculture, Beijing 100081, China; Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081; Wuhan Land Reserve and Management Center, Wuhan, Hubei 430010, China
Abstract:In this study, by using spatial analysis function of ArcGIS software, a crop productivity potential model originally from an attenuation model has been developed to assess maize land productivity potential in Jilin Province located in northeast China. Moreover, spatial interpolation technique and auxiliary information are used for spatial modeling of key climate and soil conditions, which are required in simulating light and temperature potential productivity. First, temperature and precipitation data observed from climate data stations in Jilin are interpolated by using an integrated means of multiple regression and residual error interpolation. Second, with a consideration of soil type information, the relevant factors are utilized as co factors for interpolating soil properties (i.e. soil pH, soil organic matter, available K, alkali hydrolyzable N and available P) by using the means of Cokriging technique. Finally, based on temperature, moisture and soil correction coefficients, the maize land productivity potential in Jilin are reclassified and zoned into different yield levels.
Keywords:potential land productivity  spatial interpolation  auxiliary information  GIS
本文献已被 万方数据 等数据库收录!
点击此处可从《干旱地区农业研究》浏览原始摘要信息
点击此处可从《干旱地区农业研究》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号