Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity
文献类型：期刊论文
| 作者 | Waldner, François1; De Abelleyra, Diego1; Verón, Santiago R.1; Zhang, Miao1; Wu, Bingfang1; Plotnikov, Dmitry1; Bartalev, Sergey1; Lavreniuk, Mykola1; Skakun, Sergii1; Kussul, Nataliia1 |
| 刊名 | International Journal of Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 37期号:14页码:3196-3231 |
| 关键词 | ORIENTED DESIGN BUSINESS RULES SOFTWARE SERVICES QUALITY MODELS REUSE |
| 通讯作者 | Waldner, François (francois.waldner@uclouvain.be) |
| 英文摘要 | Accurate cropland information is of paramount importance for crop monitoring. This study compares five existing cropland mapping methodologies over five contrasting Joint Experiment for Crop Assessment and Monitoring (JECAM) sites of medium to large average field size using the time series of 7-day 250 m Moderate Resolution Imaging Spectroradiometer (MODIS) mean composites (red and near-infrared channels). Different strategies were devised to assess the accuracy of the classification methods: confusion matrices and derived accuracy indicators with and without equalizing class proportions, assessing the pairwise difference error rates and accounting for the spatial resolution bias. The robustness of the accuracy with respect to a reduction of the quantity of calibration data available was also assessed by a bootstrap approach in which the amount of training data was systematically reduced. Methods reached overall accuracies ranging from 85% to 95%, which demonstrates the ability of 250 m imagery to resolve fields down to 20 ha. Despite significantly different error rates, the site effect was found to persistently dominate the method effect. This was confirmed even after removing the share of the classification due to the spatial resolution of the satellite data (from 10% to 30%). This underlines the effect of other agrosystems characteristics such as cloudiness, crop diversity, and calendar on the ability to perform accurately. All methods have potential for large area cropland mapping as they provided accurate results with 20% of the calibration data, e.g. 2% of the study area in Ukraine. To better address the global cropland diversity, results advocate movement towards a set of cropland classification methods that could be applied regionally according to their respective performance in specific landscapes. © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. |
| 学科主题 | Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20163202703962 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39547]  |
| 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. Earth and Life Institute - Environment, Croix du Sud, Université catholique de Louvain, Louvain-la-Neuve, Belgium 2. Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA), Hurlingham, Argentina 3. Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires and CONICET, Buenos Aires, Argentina 4. Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China 5. Terrestrial Ecosystems Monitoring Laboratory, Space Research Institute of Russian Academy of Sciences (IKI), Moscow, Russia 6. Department of Space Information Technologies, Space Research Institute NAS and SSA (SRI), Kyiv, Ukraine 7. Department of Geographical Sciences, University of Maryland, College Park 8.MD, United States 9. UMR Eco&Sols, CIRAD, Montpellier, France 10. EMBRAPA Meio Ambiante, Jaguariuna |
| 推荐引用方式 GB/T 7714 | Waldner, François,De Abelleyra, Diego,Verón, Santiago R.,et al. Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity[J]. International Journal of Remote Sensing,2016,37(14):3196-3231. |
| APA | Waldner, François.,De Abelleyra, Diego.,Verón, Santiago R..,Zhang, Miao.,Wu, Bingfang.,...&Defourny, Pierre.(2016).Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity.International Journal of Remote Sensing,37(14),3196-3231. |
| MLA | Waldner, François,et al."Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity".International Journal of Remote Sensing 37.14(2016):3196-3231. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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