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| DOI | 10.3390/rs14051205 |
| Monitoring Irrigation Events and Crop Dynamics Using Sentinel-1 and Sentinel-2 Time Series | |
| Ma, Chunfeng; Johansen, Kasper; McCabe, Matthew F. | |
| 通讯作者 | Ma, CF (通讯作者)，King Abdullah Univ Sci & Technol KAUST, Hydrol Agr & Land Observat Grp, Water Desalinat & Reuse Ctr, Div Biol & Environm Sci & Engn, Thuwal 239556900, Saudi Arabia. ; Ma, CF (通讯作者)，Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Northwest Inst Ecoenvironm & Resources, Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China. |
| 发表日期 | 2022 |
| EISSN | 2072-4292 |
| 卷号 | 14期号:5 |
| 英文摘要 | Capturing and identifying field-based agricultural activities, such as the start, duration and end of irrigation, together with crop sowing/germination, growing period and time of harvest, offer informative metrics that can assist in precision agricultural activities in addition to broader water and food security monitoring efforts. While optically based band-ratios, such as the normalized difference vegetation index (NDVI) and normalized difference water index (NDWI), have been used as descriptors for monitoring crop dynamics, data are not always available due to the influence of clouds and other atmospheric effects on optical sensors. Satellite-based microwave systems, such as the synthetic aperture radar (SAR), offer an all-weather advantage in monitoring soil and crop conditions. In this paper, we leverage the relative strengths of both optical- and microwave-based approaches by combining high resolution Sentinel-1 SAR and Sentinel-2 optical imagery to monitor irrigation events and crop dynamics in a dryland agricultural landscape. A microwave backscatter model was used to analyze the responses of simulated backscatters to soil moisture, NDVI and NDWI (both are correlated with vegetation water content and can be regarded as vegetation descriptors), allowing an empirical relationship between these two platforms. A correlation analysis was also performed using Sentinel-1 SAR and Sentinel-2 optical data over crops of maize, alfalfa, carrot and Rhodes grass in Al Kharj farm of Saudi Arabia to identify an appropriate SAR-based vegetation descriptor. The results illustrate the relationship between SAR and both NDVI and NDWI and demonstrated the relationship between the cross-polarization ratio (VH/VV) and the two optical indices. We explore the capacity of this multi-platform and multi-sensor approach to inform on the spatio-temporal dynamics of a range of agricultural activities, which can be used to facilitate field-based management decisions. |
| 关键词 | VEGETATION WATER-CONTENTGLOBAL SENSITIVITY-ANALYSISSOIL-MOISTURE ESTIMATIONSAR DATAC-BANDINDEXAGRICULTURERETRIEVALLANDSATCORN |
| 英文关键词 | synthetic aperture radar; normalized difference vegetation index; normalized difference water index; Sentinel-1; Sentinel-2; irrigation; crop dynamics |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000771329000001 |
| 来源期刊 | REMOTE SENSING
 |
| 来源机构 | 中国科学院西北生态环境资源研究院 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254676 |
| 作者单位 | [Ma, Chunfeng; Johansen, Kasper; McCabe, Matthew F.] King Abdullah Univ Sci & Technol KAUST, Hydrol Agr & Land Observat Grp, Water Desalinat & Reuse Ctr, Div Biol & Environm Sci & Engn, Thuwal 239556900, Saudi Arabia; [Ma, Chunfeng] Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Northwest Inst Ecoenvironm & Resources, Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Chunfeng,Johansen, Kasper,McCabe, Matthew F.. Monitoring Irrigation Events and Crop Dynamics Using Sentinel-1 and Sentinel-2 Time Series[J]. 中国科学院西北生态环境资源研究院,2022,14(5). |
| APA | Ma, Chunfeng,Johansen, Kasper,&McCabe, Matthew F..(2022).Monitoring Irrigation Events and Crop Dynamics Using Sentinel-1 and Sentinel-2 Time Series.REMOTE SENSING,14(5). |
| MLA | Ma, Chunfeng,et al."Monitoring Irrigation Events and Crop Dynamics Using Sentinel-1 and Sentinel-2 Time Series".REMOTE SENSING 14.5(2022). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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