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

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.