时间序列MODIS数据水稻面积提取精度研究

发布时间：2018-03-14 13:28

本文选题：MODA　切入点：Landsat　出处：《科技通报》2017年01期 　论文类型：期刊论文

【摘要】：MODIS时间序列数据提取水稻面积是一种常见的区域尺度水稻种植面积提取方法,但对于该方法的面积提取精度的分析还不够明确。为此本文利用Landsat 8 OLI数据结合监督分类的最大似然法提取江苏省水稻面积,并以Landsat数据的提取结果作为参考值,对时间序列MODIS数据的水稻面积提取结果空间位置匹配状况进行评估。主要通过两种方案来展开,一是沿用前人的MODIS数据水稻提取算法参数,提取江苏省水稻面积,评估水稻面积提取总量精度,二是修改水稻提取算法参数,使MODIS数据水稻面积提取与统计数据持平,分析其空间位置匹配状况。研究发现:对于方案一,时间序列MODIS数据提取的水稻面积,在空间分布上有一定准确度,但总体面积偏低;对于方案二,空间匹配上存在较大误差,特别是在南京和启东等地存在误提。沿用统一水稻提取算法参数,年纪之间气象条件变化,造成提取结果的不确定性。
[Abstract]:MODIS time series data extraction of rice area is a common regional scale rice planting area extraction method. However, the analysis of the precision of area extraction of this method is not clear enough. In this paper, the maximum likelihood method of Landsat 8 OLI data combined with supervised classification is used to extract rice area in Jiangsu Province, and the result of Landsat data extraction is taken as the reference value. This paper evaluates the spatial position matching status of rice area extraction results from time series MODIS data. It is mainly carried out through two schemes. One is to extract rice area in Jiangsu Province by using the parameters of rice extraction algorithm based on previous MODIS data. To evaluate the precision of total rice area extraction, the second is to modify the parameters of rice extraction algorithm to make the rice area extraction from MODIS data equal to the statistical data, and to analyze the spatial position matching situation of rice area extraction. The rice area extracted from time series MODIS data has some accuracy in spatial distribution, but the total area is on the low side. Especially in Nanjing, Qidong and other places, there are misconceptions. The parameters of the unified rice extraction algorithm are used, and the meteorological conditions vary between ages, resulting in the uncertainty of the extraction results.
【作者单位】：浙江大学建筑工程学院水文与水资源研究所;
【基金】：国家自然科学基金资助项目(41371393,51109183) 博士点基金(20110101120036)
【分类号】：S511;S127

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