Major crops classification using time series MODIS EVI with adjacent years of ground reference data in the US state of Kansas
文献类型：期刊论文
| 作者 | Muhammad, Shakir1; Zhan, Yulin1; Wang, Li1; Hao, Pengyu1; Niu, Zheng1 |
| 刊名 | Optik
 |
| 出版日期 | 2016 |
| 卷号 | 127期号:3页码:1071-1077 |
| 关键词 | WINTER-WHEAT YELLOW RUST VEGETATION INDEXES SPECTRAL INDEXES AIRBORNE DISEASES PLANT |
| 通讯作者 | Zhan, Yulin (zhanyl@radi.ac.cn) |
| 英文摘要 | Most methods used large quantity of field data of the same reference year for crops classification which is labor-intensive and time-consuming. In this study we explored the optical application of time series MODIS EVI with adjacent years of ground reference data for classifying major crops on a regional level in US state of Kansas. Time series MODIS EVI data have been obtained between 2008 and 2013. Ground reference data (2008-2013) of the major crops (winter wheat, corn, soybeans, sorghum and alfalfa) in Kansas were acquired from the United States Department of Agriculture (USDA). A machine learning algorithm namely Antibody Network (ABNet) classifier was used to classify the major crops. The ABNet was trained using five years of ground reference data and verified by ground reference data of the other year. For instance, to classify major crops in 2008, ground reference data of (2009-2013) were used as training samples and the data of that year (i.e. 2008) were used as validation. The results evince the classification accuracy in a range from 74.4 to 81.9% and kappa coefficient of 0.6-0.8 respectively. This method can improve remote sensing imagery in the process of classification and can help to alleviate the heavy load of field data in areas where ground data are unavailable. © 2015 Elsevier GmbH. All rights reserved. |
| 学科主题 | Optics |
| 类目[WOS] | Optics |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20161002052541 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39385]  |
| 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. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. University of Chinese Academy of Sciences, Beijing, China 3. Olympic Science and Technology Park of CAS, No. 20 Datun Road, Beijing, China |
| 推荐引用方式 GB/T 7714 | Muhammad, Shakir,Zhan, Yulin,Wang, Li,et al. Major crops classification using time series MODIS EVI with adjacent years of ground reference data in the US state of Kansas[J]. Optik,2016,127(3):1071-1077. |
| APA | Muhammad, Shakir,Zhan, Yulin,Wang, Li,Hao, Pengyu,&Niu, Zheng.(2016).Major crops classification using time series MODIS EVI with adjacent years of ground reference data in the US state of Kansas.Optik,127(3),1071-1077. |
| MLA | Muhammad, Shakir,et al."Major crops classification using time series MODIS EVI with adjacent years of ground reference data in the US state of Kansas".Optik 127.3(2016):1071-1077. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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