Crop mapping using PROBA-V time series data at the Yucheng and hongxing farm in China | |
Zhang, Xin1; Zhang, Miao1; Zheng, Yang1; Wu, Bingfang1 | |
刊名 | Remote Sensing |
2016 | |
卷号 | 8期号:11 |
关键词 | SPECTRAL MIXTURE ANALYSIS CROP RESIDUE COVER EO-1 HYPERION IMAGING SPECTROSCOPY ARID REGIONS SOIL INDEX IMAGERY DESERTIFICATION DEGRADATION |
通讯作者 | Wu, Bingfang (wubf@radi.ac.cn) |
英文摘要 | PROBA-V is a new global vegetation monitoring satellite launched in the second quarter of 2013 that provides data with a 100 m to 1 km spatial resolution and a daily to 10-day temporal resolution in the visible and near infrared (VNIR) bands. A major mission of the PROBA-V satellite is global agriculture monitoring, in which the accuracy of crop mapping plays a key role. In countries such as China, crop fields are typically small, in assorted shapes and with various management approaches, which deem traditional methods of crop identification ineffective, and accuracy is highly dependent on image resolution and acquisition time. The five-day temporal and 100 m spatial resolution PROBA-V data make it possible to automatically identify crops using time series phenological information. This paper takes advantage of the improved spatial and temporal resolution of the PROBA-V data, to map crops at the Yucheng site in Shandong Province and the Hongxing farm in Heilongjiang province of China. First, the Swets filter algorithm was employed to eliminate noisy pixels and fill in data gaps on time series data during the growing season. Then, the crops are classified based on the Iterative Self-Organizing Data Analysis Technique (ISODATA) clustering, the maximum likelihood method (MLC) and similarity analysis. The mapping results were validated using field-collected crop type polygons and high resolution crop maps based on GaoFen-1 satellite (GF-1) data in 16 m resolution. Our study showed that, for the Yucheng site, the cropping system is simple, mainly dominated by winter wheat-maize rotation. The overall accuracy of crop identification was 73.39% which was slightly better than the result derived from MODIS data. For the Hongxing farm, the cropping system is more complex (i.e., more than three types of crops were planted). The overall accuracy of the crop mapping by PROBA-V was 73.29% which was significantly higher than the MODIS product (46.81%). This study demonstrates that time series PROBA-V data can serve as a useful source for reliable crop identification and area estimation. The high revisiting frequency and global coverage of the PROBA-V data show good potential for future global crop mapping and agricultural monitoring. © 2016 by the authors. |
学科主题 | Remote Sensing |
类目[WOS] | Remote Sensing |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:20164703032564 |
内容类型 | 期刊论文 |
源URL | [http://ir.radi.ac.cn/handle/183411/39216] |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 2.100101, China |
推荐引用方式 GB/T 7714 | Zhang, Xin,Zhang, Miao,Zheng, Yang,et al. Crop mapping using PROBA-V time series data at the Yucheng and hongxing farm in China[J]. Remote Sensing,2016,8(11). |
APA | Zhang, Xin,Zhang, Miao,Zheng, Yang,&Wu, Bingfang.(2016).Crop mapping using PROBA-V time series data at the Yucheng and hongxing farm in China.Remote Sensing,8(11). |
MLA | Zhang, Xin,et al."Crop mapping using PROBA-V time series data at the Yucheng and hongxing farm in China".Remote Sensing 8.11(2016). |
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