Global Crop Monitoring: A Satellite-Based Hierarchical Approach
文献类型：期刊论文
| 作者 | Wu, Bingfang1; Gommes, Rene1; Zhang, Miao1; Zeng, Hongwei1; Yan, Nana1; Zou, Wentao1; Zheng, Yang1; Zhang, Ning1; Chang, Sheng1; Xing, Qiang1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 7期号:4页码:258-269 |
| 通讯作者 | Wu, BF (reprint author), Chinese Acad Sci, Div Digital Agr, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth RADI, Olymp Village Sci Pk,W Beichen Rd, Beijing 100101, Peoples R China. |
| 英文摘要 | Taking advantage of multiple new remote sensing data sources, especially from Chinese satellites, the CropWatch system has expanded the scope of its international analyses through the development of new indicators and an upgraded operational methodology. The approach adopts a hierarchical system covering four spatial levels of detail: global, regional, national (thirty-one key countries including China) and "sub-countries" (for the nine largest countries). The thirty-one countries encompass more that 80% of both production and exports of maize, rice, soybean and wheat. The methodology resorts to climatic and remote sensing indicators at different scales. The global patterns of crop environmental growing conditions are first analyzed with indicators for rainfall, temperature, photosynthetically active radiation (PAR) as well as potential biomass. At the regional scale, the indicators pay more attention to crops and include Vegetation Health Index (VHI), Vegetation Condition Index (VCI), Cropped Arable Land Fraction (CALF) as well as Cropping Intensity (CI). Together, they characterize crop situation, farming intensity and stress. CropWatch carries out detailed crop condition analyses at the national scale with a comprehensive array of variables and indicators. The Normalized Difference Vegetation Index (NDVI), cropped areas and crop conditions are integrated to derive food production estimates. For the nine largest countries, CropWatch zooms into the sub-national units to acquire detailed information on crop condition and production by including new indicators (e.g., Crop type proportion). Based on trend analysis, CropWatch also issues crop production supply outlooks, covering both long-term variations and short-term dynamic changes in key food exporters and importers. The hierarchical approach adopted by CropWatch is the basis of the analyses of climatic and crop conditions assessments published in the quarterly "CropWatch bulletin" which provides accurate and timely information essential to food producers, traders and consumers. |
| 研究领域[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000354789300023 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38237]  |
| 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.[Wu, Bingfang 2.Gommes, Rene 3.Zhang, Miao 4.Zeng, Hongwei 5.Yan, Nana 6.Zou, Wentao 7.Zheng, Yang 8.Zhang, Ning 9.Chang, Sheng 10.Xing, Qiang |
| 推荐引用方式 GB/T 7714 | Wu, Bingfang,Gommes, Rene,Zhang, Miao,et al. Global Crop Monitoring: A Satellite-Based Hierarchical Approach[J]. REMOTE SENSING,2015,7(4):258-269. |
| APA | Wu, Bingfang.,Gommes, Rene.,Zhang, Miao.,Zeng, Hongwei.,Yan, Nana.,...&van Heijden, Anna.(2015).Global Crop Monitoring: A Satellite-Based Hierarchical Approach.REMOTE SENSING,7(4),258-269. |
| MLA | Wu, Bingfang,et al."Global Crop Monitoring: A Satellite-Based Hierarchical Approach".REMOTE SENSING 7.4(2015):258-269. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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