Type Classification of Agricultural Cultivated Land Using Remote Sensing
文献类型：期刊论文
| 作者 | Tu, Chunmei1; Li, Fei2 |
| 刊名 | REVISTA DE LA FACULTAD DE AGRONOMIA DE LA UNIVERSIDAD DEL ZULIA
 |
| 出版日期 | 2019 |
| 卷号 | 36期号:4页码:1193-1202 |
| 关键词 | Agricultural Cultivated Land Remote Sensing Technology Space-time Sequence Spatial Resolution |
| ISSN号 | 0378-7818 |
| 通讯作者 | Li, Fei(lifeicas@126.com) |
| 英文摘要 | As the level of agricultural cultivation continues to rise, more and more operational techniques are applied to agricultural arable land. The classification of agricultural land in the macro is still a big problem. In order to solve the problem of inaccurate classification of agricultural land, this paper uses remote sensing technology to add more spatial details provided by Landsat images. The fused NDVI time series has better distinguishing ability for various wetland types, and the improved spatial resolution also makes the fused time series is better able to capture changes in the environmental gradient. Compared with MODIS-NTS, the time series data with 30 m spatial resolution is significantly improved (p value <0.05) to improve the recognition of floating vegetation and submerged vegetation. Overall, as the spatial resolution decreases, the area-weighted average shape factor (AWMSI) shows a downward trend. The larger the value, the more complex and irregular the plaque shape is, the smaller the value, the simpler the shape. The change ratio of each category of the change of the classification result of the multi-training sample before and after the fusion is smaller than that of the multi-classifier before and after the fusion, and the changes of the classification before and after the multi-sample set classification result are also different. In terms of the number of pixels, the change of different categories has a certain relationship with the area base of the category itself. |
| WOS关键词 | TECHNOLOGY |
| 资助项目 | Science and Technology Research Program of Chongqing Municipal Education Commission[KJQN201802101] ; Science and Technology Research Program of Chongqing Municipal Education Commission[KJZD-K201802101] ; Doctoral high school talent training project[BYJS2016003] ; Chongqing Graduate Scientific Research Innovation Project[CYB17131] ; Science & Technology Basic Resources Investigation Program of China[2017FY101300] ; National Natural Science Foundation of China[41301642] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000475427600038 |
| 出版者 | UNIV ZULIA, FACULTAD AGRONOMIA |
| 资助机构 | Science and Technology Research Program of Chongqing Municipal Education Commission ; Doctoral high school talent training project ; Chongqing Graduate Scientific Research Innovation Project ; Science & Technology Basic Resources Investigation Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/58411]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Fei |
| 作者单位 | 1.Chongqing Technol & Business Univ, Rongzhi Coll, Chongqing Key Lab Spatial Data Min & Big Data Int, Chongqing 401320, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tu, Chunmei,Li, Fei. Type Classification of Agricultural Cultivated Land Using Remote Sensing[J]. REVISTA DE LA FACULTAD DE AGRONOMIA DE LA UNIVERSIDAD DEL ZULIA,2019,36(4):1193-1202. |
| APA | Tu, Chunmei,&Li, Fei.(2019).Type Classification of Agricultural Cultivated Land Using Remote Sensing.REVISTA DE LA FACULTAD DE AGRONOMIA DE LA UNIVERSIDAD DEL ZULIA,36(4),1193-1202. |
| MLA | Tu, Chunmei,et al."Type Classification of Agricultural Cultivated Land Using Remote Sensing".REVISTA DE LA FACULTAD DE AGRONOMIA DE LA UNIVERSIDAD DEL ZULIA 36.4(2019):1193-1202. |
入库方式： OAI收割
来源：地理科学与资源研究所
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