Improving phenological monitoring of winter wheat by considering sensor spectral response in spatiotemporal image fusion
文献类型：期刊论文
| 作者 | Cao, Ziyang3,4; Chen, Shaohui2 ; Gao, Feng5; Li, Xueke1
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| 刊名 | PHYSICS AND CHEMISTRY OF THE EARTH
 |
| 出版日期 | 2020-04-01 |
| 卷号 | 116页码:11 |
| ISSN号 | 1474-7065 |
| 关键词 | Spatiotemporal satellite image fusion Sensor spectral response System difference TOA reflectance Prediction Phenological monitoring of winter wheat |
| DOI | 10.1016/j.pce.2020.102859 |
| 通讯作者 | Chen, Shaohui(csh_1976@163.com) |
| 英文摘要 | Multisensor image fusion results may deviate from accurately reflecting the phenological stages of winter wheat because different responses of satellite sensors to the spectrum lead to the radiometric inconsistency between different remote sensing images. To reduce the effect of the difference in the physical electromagnetic spectrum responses between sensors on monitoring the phenological stages of winter wheat by fusion results, Sensor Spectral Response (SSR) should be considered in spatiotemporal fusion methods. This paper proposes a novel image fusion model by introducing SSR into the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM). The contribution of SSR in minimizing the effect of the system difference between sensors on image fusion products is parameterized as a calibration factor by matrixing operation, which is able to offset the systematic inconsistency between different sensor images. Linear regression equation for different land cover type and spectral band is established to calculate the weights needed in STARFM for improving the selection of neighboring spectrally similar pixels. This proposed method is evaluated using one satellite datasets including four ZY-3 (5.8 m) and Landsat 8 OLI (30 m) scenes which are acquired during the growth stages of winter wheat from seedling to harvest. Qualitative and quantitative evaluation shows that the proposed method can better monitor the phenology of winter wheat with an improved spatial and temporal consistency with the observations than STARFM. |
| WOS关键词 | REFLECTANCE FUSION ; SURFACE REFLECTANCE ; LANDSAT DATA ; MODIS ; WAVELET ; ALGORITHM ; MODEL |
| 资助项目 | National Natural Science Foundation of China[41671368] ; National Natural Science Foundation of China[41371348] ; Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK1003] ; Strategic Priority Research Program A of Chinese Academy of Sciences[XDA20010301] ; China Transport Telecommunications & Information Center Reserve Program[2017CB03] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000538138500014 |
| 资助机构 | National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program ; Strategic Priority Research Program A of Chinese Academy of Sciences ; China Transport Telecommunications & Information Center Reserve Program |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/159424]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Shaohui |
| 作者单位 | 1.Brown Univ, Inst Brown Environm & Soc, Providence, RI 02912 USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 3.China Transport Telecommun & Informat Ctr, Beijing 100011, Peoples R China 4.Changan Univ, Coll Geol Engn & Geomat, Xian 710064, Peoples R China 5.ARS, USDA, Hydrol & Remote Sensing Lab, 10300 Baltimore Ave, Beltsville, MD 20705 USA |
| 推荐引用方式 GB/T 7714 | Cao, Ziyang,Chen, Shaohui,Gao, Feng,et al. Improving phenological monitoring of winter wheat by considering sensor spectral response in spatiotemporal image fusion[J]. PHYSICS AND CHEMISTRY OF THE EARTH,2020,116:11. |
| APA | Cao, Ziyang,Chen, Shaohui,Gao, Feng,&Li, Xueke.(2020).Improving phenological monitoring of winter wheat by considering sensor spectral response in spatiotemporal image fusion.PHYSICS AND CHEMISTRY OF THE EARTH,116,11. |
| MLA | Cao, Ziyang,et al."Improving phenological monitoring of winter wheat by considering sensor spectral response in spatiotemporal image fusion".PHYSICS AND CHEMISTRY OF THE EARTH 116(2020):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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