Cropland identification in Inner Mongolia, China with SPOT-4 VEGETATION imagery
文献类型：会议论文
| 作者 | Guo J. K. ; Liu J. Y. ; Huang G. M. ; Zhuang D. F. ; Yan H. M. ; Ieee |
| 出版日期 | 2004 |
| 关键词 | land cover cropland classification imagery semi-arid area avhrr ndvi data fourier-analysis time-series |
| 页码 | 3988-3991 |
| 英文摘要 | Detecting the situation of cropland in the semi-arid area, north of China is very important for agricultural management, land degradation and ecosystem assessment. In this studs we tried to explore the potential and the methodology for the cropland identification using high temporal resolution SPOT-4 VEGETATION (VGT) imagery and some ancillary data. The imagery used in this study were 10-day composite Normalized Difference Vegetation Index (NDVI) over the year 2000 obtained by the Maximum Value Composite (MVC) technique, and the ancillary data included phonological calendar and agricultural knowledge. The discrete Fourier transform was applied to the NDVI data set on a per pixel basis for the whole study areas and then the additive and the first four harmonics (amplitude and phase) were classified using ISOLATE unsupervised classification algorithm. Analysis of the characteristics of NDVI temporal profiles reconstructed from the first four harmonics and the phonological calendar over the plant growing season allowed for the identification of distinct growth patterns between the different vegetation types. The accuracy of the result was evaluated with the agricultural census data and existing land-cover dataset derived from TM images. The result of this study shows that the methodology used in this study is, in general, feasible for cropland identification in semi-arid area of north China. |
| 收录类别 | CPCI |
| 会议录出版者 | Ieee |
| 语种 | 英语 |
| ISBN号 | 0-7803-8742-2 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25112]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Guo J. K.,Liu J. Y.,Huang G. M.,et al. Cropland identification in Inner Mongolia, China with SPOT-4 VEGETATION imagery[C]. 见:. |
入库方式： OAI收割
来源：地理科学与资源研究所
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