Spatial-temporal patterns of features selected using random forests: a case study of corn and soybeans mapping in the US

文献类型： 外文期刊

第一作者： Liu, Xiaoxuan

作者： Liu, Xiaoxuan;Yu, Le;Yu, Chaoqing;Gong, Peng;Liu, Xiaoxuan;Yu, Le;Yu, Chaoqing;Gong, Peng;Zhong, Liheng;Hao, Pengyu;Wu, Bo;Wang, Hongshuo

作者机构：

期刊名称：INTERNATIONAL JOURNAL OF REMOTE SENSING （ 影响因子：3.151； 五年影响因子：3.266 ）

ISSN： 0143-1161

年卷期： 2019 年 40 卷 1 期

页码：

收录情况： SCI

摘要： It is not easy in remote sensing field to distinguish corn and soybean mapping for the similarity of the mixed summer crops. To understand the variations better and generate corn and soybean maps more accurately, more accurate mapping of these two crops is required. However, classifying different crops with remote sensing is not easy. Finding the discriminating features to use in a mapping classifier can lead to higher-precision mapping. In this paper, we used feature selection of random forests to analyse the most important phenological features for mapping corn and soybeans in the US Corn Belt (also called the Extended Corn Belt, ECB), and identified the spatial and temporal patterns of these features in the ECB. Results show that all the states in the ECB have very similar patterns: Temporal pattern showed that different years always reflected the same pattern. Date-related and phenology curve-related features were the most important. Also, the whole phenology curve was a prerequisite for more accurate mapping. These patterns make the variations more understandable and also support the further research to consider the most important variables for detailed classification.

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