Incorporating crop phenological trajectory and texture for paddy rice detection with time series MODIS, HJ-1A and ALOS PALSAR imagery
文献类型：期刊论文
| 作者 | Singha, Mrinal1; Sarmah, Sangeeta2 |
| 刊名 | EUROPEAN JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2019 |
| 卷号 | 52期号:1页码:73-87 |
| 关键词 | Paddy rice phenology texture MODIS NDVI HJ-1A PALSAR object-based image analysis |
| DOI | 10.1080/22797254.2018.1556568 |
| 通讯作者 | Singha, Mrinal(mrn3306@gmail.com) |
| 英文摘要 | Repeated monitoring of paddy rice is essential for government agencies and policy makers to maintain the balance of supply and demand for rice. Recent studies have mostly concentrated on the mapping of paddy rice with temporal satellite imagery during growing seasons. Given the phenological variation within paddy rice fields and spectral confusion between paddies and other vegetation classes, our ability to identify paddy rice fields with temporal imagery remains limited. The objective of this study is to develop new phenology and textural-based strategies to detect paddies with HJ-1A, MODIS and PALSAR FNF imagery. Two phenology-based strategies that track the seasonal trajectory of crops and one textural-based strategy that contains image surface characteristics are presented. With the proposed strategies, temporal, spectral and textural features were investigated for paddy rice detection. The results indicate that the phenology-based strategies could reveal the phenological variation within paddy rice and significantly improved the detection accuracy. Seasonal amplitude, grey level co-occurrence matrix entropy and spectral features of the heading stage were proven to be important in identifying paddy rice. It was concluded that the combination of HJ-1A, MODIS and PALSAR FNF imagery are promising in facilitating the rapid mapping of paddy rice at a regional scale. |
| WOS关键词 | SURFACE REFLECTANCE ; LANDSAT ; CLASSIFICATION ; COVER ; AREAS |
| 资助项目 | China Scholarship Council |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000475926300005 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | China Scholarship Council |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/58237]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Singha, Mrinal |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100100, Peoples R China 2.Univ Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Singha, Mrinal,Sarmah, Sangeeta. Incorporating crop phenological trajectory and texture for paddy rice detection with time series MODIS, HJ-1A and ALOS PALSAR imagery[J]. EUROPEAN JOURNAL OF REMOTE SENSING,2019,52(1):73-87. |
| APA | Singha, Mrinal,&Sarmah, Sangeeta.(2019).Incorporating crop phenological trajectory and texture for paddy rice detection with time series MODIS, HJ-1A and ALOS PALSAR imagery.EUROPEAN JOURNAL OF REMOTE SENSING,52(1),73-87. |
| MLA | Singha, Mrinal,et al."Incorporating crop phenological trajectory and texture for paddy rice detection with time series MODIS, HJ-1A and ALOS PALSAR imagery".EUROPEAN JOURNAL OF REMOTE SENSING 52.1(2019):73-87. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。