多尺度遥感数据的非耕地系数变化特征分析  

Study on non-cultivated land coefficient based on multi-scale RS image data

作　　者：关毅[1] 冯雪力[1,2] 弓永利[1] 王跃宾[1] 

机构地区：[1]内蒙古建筑职业技术学院,呼和浩特010070 [2]中国科学院新疆生态与地理研究所,乌鲁木齐830011

出　　处：《测绘科学》2011年第6期192-194,171,共4页Science of Surveying and Mapping

摘　　要：本文从非耕地系数的计算公式和遥感数据对地理要素的综合着手,研究在多尺度下非耕地系数的变化特征。研究结果表明:大尺度数据下的非耕地系数比中、小尺度数据下的要大;建立了TM和中巴数据尺度下的非耕地系数之间的数学模型,该模型使得非耕地系数在此两种尺度数据下可以相互转换。通过模型检验,线性模型符合精度要求。Non-cultivated land in cultivated land is the key factor effecting monitoring cultivated land area using Remote Sensing technology on a large scale. In this paper, the conception of non-cultivated land coefficient was proposed to express the percentage of non-cultivated land in arable land. Non-cultivated land coefficient shows the effects of human activities to the cultivated land. The results were as follows ： theoretically, non-cultivated land coefficient was increasing from down-scale to up-scale. In this paper, the model between non-cultivated land coefficients under different scales was built. The model in the paper could express the exchanges of non-cultivated land coefficients under different scales. The paper discussed the non-cultivated land coefficients under the usually used data scale. The linear model, which could meet the requirements of precision, was useful in exchanging the non-cultivated land coefficients between TM and the CBERS data scale.

关 键 词：多尺度 非耕地系数 最小二乘法 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]