Comparing Different Spatial Resolutions and Indices for Retrieving Land Surface Phenology for Deciduous Broadleaf Forests
文献类型：期刊论文
| 作者 | Cui, Kailong; Yang, Jilin; Dong, Jinwei; Zhao, Guosong; Cui, Yaoping |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-04-25 |
| 卷号 | 15期号:9页码:2266 |
| 关键词 | PhenoCam spatial resolution GEE NDVI EVI NIRv deciduous broadleaf forest |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs15092266 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Deciduous broadleaf forests (DBF) are an extremely widespread vegetation type in the global ecosystem and an indicator of global environmental change; thus, they require accurate phenological monitoring. However, there is still a lack of systematic understanding of the sensitivity of phenological retrievals for DBF in terms of different spatial resolution data and proxy indices. In this study, 79 globally distributed DBF PhenoCam Network sites (total 314 site-years, 2013-2018) were used as the reference data (based on green chromaticity coordinates, GCC). Different spatial resolutions (30 m Landsat and Sentinel-2 data, and 500 m MCD43A4 data) and satellite remote sensing vegetation indices (normalized difference vegetation index, NDVI; enhanced vegetation index, EVI; and near-infrared reflectance of vegetation, NIRV) were compared to find the most suitable data and indices for DBF phenological retrievals. The results showed that: (1) for different spatial resolutions, both 30 m Landsat-Sentinel-2 data and 500 m MODIS data accurately captured (R-2 > 0.8) DBF phenological metrics (i.e., the start of the growing season, SOS, and the end of the growing season, EOS), which are associated with the comparatively homogeneous landscape pattern of DBF; (2) for SOS, the NIRv index was closer to GCC than EVI and NDVI, and it showed a slight advantage over EVI and a significant advantage over NDVI. However, for EOS, NDVI performed best, outperforming EVI and NIRv; and (3) for different phenological metrics, the 30 m data showed a significant advantage for detecting SOS relative to the 500 m data, while the 500 m MCD43A4 outperformed the 30 m data for EOS. This was because of the differences between the wavebands used for GCC and for the satellite remote sensing vegetation indices calculations, as well as the different sensitivity of spatial resolution data to bare soil. This study provides a reference for preferred data and indices for broad scale accurate monitoring of DBF phenology. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS关键词 | TIME-SERIES ; SPRING PHENOLOGY ; LEAF PHENOLOGY ; MODIS NDVI ; DYNAMICS ; ASSOCIATIONS ; GREENNESS ; PRODUCTS ; HEALTH |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193835]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Institute of Geographic Sciences & Natural Resources Research, CAS 2.China University of Geosciences 3.Henan University 4.Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Cui, Kailong,Yang, Jilin,Dong, Jinwei,et al. Comparing Different Spatial Resolutions and Indices for Retrieving Land Surface Phenology for Deciduous Broadleaf Forests[J]. REMOTE SENSING,2023,15(9):2266. |
| APA | Cui, Kailong,Yang, Jilin,Dong, Jinwei,Zhao, Guosong,&Cui, Yaoping.(2023).Comparing Different Spatial Resolutions and Indices for Retrieving Land Surface Phenology for Deciduous Broadleaf Forests.REMOTE SENSING,15(9),2266. |
| MLA | Cui, Kailong,et al."Comparing Different Spatial Resolutions and Indices for Retrieving Land Surface Phenology for Deciduous Broadleaf Forests".REMOTE SENSING 15.9(2023):2266. |
入库方式： OAI收割
来源：地理科学与资源研究所
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