Using local knowledge to map crop types and other land use/cover types with a limited number of TM images in Shandong Peninsula, China
文献类型：会议论文
| 作者 | Lu,Qingshui ; Chen,Qiao ; Hou,Xiong ; Bi,Xiaoli ; Zhao,Zhiping |
| 出版日期 | 2010 |
| 会议日期 | 2010-10-16 |
| 关键词 | Food Supply Security Of Data Signal Processing Vegetables Vegetation |
| 页码 | 2287 - 2293 |
| 通讯作者 | Lu,Q. |
| 英文摘要 | Information on the crop types is necessary for the studies on global food security and other environmental problems. Fields of crop types are distinguished by images for special periods of planting, growing and harvesting from other LULC types. Series of Landsat satellites can provide high quality images during those special periods. With the local knowledge of crop calendar, we calculated Normalized Difference Vegetation Index during the special periods to identify crop and other LULC types. The resultant TM-derived crop and other LULC type map were evaluated using check points and land registration data from government. The accuracy assessment proved that our area estimates of crop and other LULC types were at high level. The results of this study indicated that our algorithm could be applied at large spatial extents to map crop and other LULC types with limited images. ©2010 IEEE. |
| 产权排序 | (1) Yantai Institute of Coastal Zone Research, CAS, Yantai, China; (2) Institute of Geographical Sciences and Natural Resource Researches, CAS, Beijing, China |
| 会议录 | Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
 |
| 会议录出版者 | IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States |
| 学科主题 | 地理学 |
| 语种 | 英语 |
| URL标识 | 查看原文 |
| ISBN号 | ISBN-13:9781424465149 |
| 源URL | [http://ir.yic.ac.cn/handle/133337/4762]  |
| 专题 | 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
| 推荐引用方式 GB/T 7714 | Lu,Qingshui,Chen,Qiao,Hou,Xiong,et al. Using local knowledge to map crop types and other land use/cover types with a limited number of TM images in Shandong Peninsula, China[C]. 见:. 2010-10-16. |
入库方式： OAI收割
来源：烟台海岸带研究所
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