Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery
文献类型：期刊论文
| 作者 | Fan, Chang3; Yang, Jilin1; Zhao, Guosong2; Dai, Junhu1; Zhu, Mengyao1; Dong, Jinwei1; Liu, Ruoqi3; Zhang, Geli3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-05-05 |
| 卷号 | 15期号:9页码:19 |
| 关键词 | wetlands phenology PhenoCam Landsat Sentinel-2 MODIS |
| DOI | 10.3390/rs15092413 |
| 通讯作者 | Zhang, Geli(geli.zhang@cau.edu.cn) |
| 英文摘要 | Wetlands are important CO2 sinks and methane sources, and their seasonality and phenological cycle play an essential role in understanding the carbon budget. However, given the spatial heterogeneity of wetland landscapes and the coarser spatial resolution of satellites, the phenological retrievals of wetlands are challenging. Here we examined the phenology of wetlands from 30 m harmonized Landsat/Sentinel-2 (LandSent30) and 500 m MODIS satellite observations using the ground phenology network PhenoCam as a benchmark. This study used all 11 available wetland PhenoCam sites (about 30 site years), covering diverse wetland types from different climate zones. We found that the LandSent30-based phenology results were in overall higher consistency with the PhenoCam results compared to MODIS, which could be related to the better explanation capacity of LandSent30 data in the heterogeneous landscapes of wetlands. This also means that the LandSent30 has an advantage over the 500 m MODIS regarding wetland vegetation phenological retrievals. It should be noted that the LandSent30 did not show a greatly improved performance, which could be related to the specificity and complexity of the wetlands landscape. We also illustrated the potential effects of the location and observation direction of PhenoCam cameras, the selection of Region of Interest (ROI), as well as the landscape composition of the site. Overall, this study highlights the complexity of wetland phenology from both ground and remote sensing observations at different scales, which paves the road for understanding the role of wetlands in global climate change and provides a basis for understanding the real phenological changes of wetland surfaces. |
| WOS关键词 | DECIDUOUS BROADLEAF FOREST ; TIME-SERIES ; SURFACE PHENOLOGY ; VEGETATION PHENOLOGY ; MODIS ; DYNAMICS ; CANOPY ; SATELLITE ; VIIRS ; CONTINUITY |
| 资助项目 | National Key Research and Development Program of China[2018YFA0606100] ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDA26010202] ; National Natural Science Foundation of China[42271375] ; National Natural Science Foundation of China[42201405] ; National Natural Science Foundation of China[42171115] ; National Natural Science Foundation of China[81961128002] ; CAS Youth Interdisciplinary Team Project[JCTD-2021-04] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000987785900001 |
| 资助机构 | National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; CAS Youth Interdisciplinary Team Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197607]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Geli |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China 3.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fan, Chang,Yang, Jilin,Zhao, Guosong,et al. Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery[J]. REMOTE SENSING,2023,15(9):19. |
| APA | Fan, Chang.,Yang, Jilin.,Zhao, Guosong.,Dai, Junhu.,Zhu, Mengyao.,...&Zhang, Geli.(2023).Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery.REMOTE SENSING,15(9),19. |
| MLA | Fan, Chang,et al."Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery".REMOTE SENSING 15.9(2023):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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