A Synergy Cropland of China by Fusing Multiple Existing Maps and Statistics

文献类型： 外文期刊

第一作者： Lu, Miao

作者： Lu, Miao;Wu, Wenbin;You, Liangzhi;Chen, Di;Zhang, Li;Yang, Peng;Tang, Huajun;You, Liangzhi

作者机构：

关键词： synergy map;cropland mapping;data fusion;statistics;agreement

期刊名称：SENSORS （ 影响因子：3.576； 五年影响因子：3.735 ）

ISSN： 1424-8220

年卷期： 2017 年 17 卷 7 期

页码：

收录情况： SCI

摘要： Accurate information on cropland extent is critical for scientific research and resource management. Several cropland products from remotely sensed datasets are available. Nevertheless, significant inconsistency exists among these products and the cropland areas estimated from these products differ considerably from statistics. In this study, we propose a hierarchical optimization synergy approach (HOSA) to develop a hybrid cropland map of China, circa 2010, by fusing five existing cropland products, i.e., GlobeLand30, Climate Change Initiative Land Cover (CCI-LC), GlobCover 2009, MODIS Collection 5 (MODIS C5), and MODIS Cropland, and sub-national statistics of cropland area. HOSA simplifies the widely used method of score assignment into two steps, including determination of optimal agreement level and identification of the best product combination. The accuracy assessment indicates that the synergy map has higher accuracy of spatial locations and better consistency with statistics than the five existing datasets individually. This suggests that the synergy approach can improve the accuracy of cropland mapping and enhance consistency with statistics.

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