Accuracy Assessment on the Crop Area Estimating Method Based on RS sampling at National Scale: a Case Study of China's Rice Area Estimation Assessment

文献类型： 外文期刊

第一作者： Qian Yonglan

作者： Qian Yonglan;Li Xuan;Yang Bangjie;Jiao Xianfeng;Pei Zhiyuan

作者机构：

关键词： accuracy assessment;crop area estimation;remote sensing;national scale;operational;agricultural monitoring

期刊名称：ATMOSPHERIC AND ENVIRONMENTAL REMOTE SENSING DATA PROCESSING AND UTILIZATION IV: READINESS FOR GEOSS II

ISSN： 0277-786X

年卷期： 2008 年 7085 卷

页码：

收录情况： SCI

摘要： Remote Sensing technology has been used in agricultural statistics since early 1970s in developed countries and since late 1970s in China. It has greatly improved the efficiency with its accurate, timingly and credible information. But agricultural monitoring using remote sensing has not yet been assessed with credible data in China and its accuracy seems not consistent and reliable to many users. The paper reviews different methods and the corresponding assessments of agricultural monitoring using remote sensing in developed countries and China, then assesses the crop area estimating method using Landsat TM remotely sensed data as sampling area in Northeast China. The ground truth is gathered with global positioning system and 40 sampling areas are used to assess the classification accuracy. The error matrix is constructed from which the accuracy is calculated. The producer accuracy, the user accuracy and total accuracy are 89.53%, 95.37% and 87.02% respectively and the correlation coefficient between the ground truth and classification results is 0.96. A new error index delta is introduced and the average delta of rice area estimation to the truth data is 0.084. delta measures how much the RS classification result is positive or negative apart from the truth data.

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