Novel vegetation indices for estimating photosynthetic and non-photosynthetic fractional vegetation cover from Sentinel data
文献类型:期刊论文
作者 | Liu, Jiali1,2; Fan, Jianrong2; Yang, Chao1,2; Xu, Fubao1,2; Zhang, Xiyu2 |
刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION |
出版日期 | 2022-05-01 |
卷号 | 109页码:12 |
ISSN号 | 1569-8432 |
关键词 | Vegetation index Red edge Photosynthetic fractional vegetation cover Non-photosynthetic fractional vegetation cover Sentinel-2 |
DOI | 10.1016/j.jag.2022.102793 |
英文摘要 | The empirical retrieval method based on vegetation indices (VIs) has been extensively utilized to estimate the photosynthetic vegetation fractional cover (FPV) and non-photosynthetic vegetation fractional cover (FNPV). These indices, however, saturate in high biomass environments and are easily influenced by external factors. Three red edge (RE) bands (i.e., RE1, RE2, RE3) are available on the Sentinel-2 satellite, providing new options for estimating FPV and FNPV. Here, sensitivity analysis from PROSAIL-PRO simulations provided a theoretical foundation for developing new indices. Sentinel-2 images and field observations were collected at three growth stages to test the original and new-developed indices for FPV and FNPV estimations. Compared to the original photosynthetic vegetation indices (PVIs) containing the near-infrared (NIR) and red bands, the optimal combinations for FPV estimation in August were RE3 and red bands, while the combination of RE2 and RE1 bands performed best in April. By introducing RE3, RE2, RE1, and red bands in a certain proportion, 4-band red edge PVIs had the strongest correlation with FPV. Although the optimal 2-band non-photosynthetic vegetation indices (NPVIs) in November were two shortwave infrared (SWIR) bands, the combinations of NIR and RE3 bands performed best for FNPV estimation in April. Combining SWIR1, SWIR2, NIR, and RE3 bands, three 4-band red edge NPVIs were put forward, had the highest accuracy for estimating FNPV. The most prominent achievement of the red edge indices is to suppress undervaluation when vegetation cover is high while mitigating overestimation at low vegetation cover levels. However, the optimum weighting parameters of the improved VIs differed depending on different growth stages. We discovered novel 4-band red edge indices are useful for estimating FPV and FNPV. |
WOS关键词 | FOREST ; RED |
资助项目 | second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0603] ; Sichuan Province Science and Technology Program[2021YJ0375] |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000798814200001 |
资助机构 | second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; Sichuan Province Science and Technology Program |
源URL | [http://ir.imde.ac.cn/handle/131551/56677] |
专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
通讯作者 | Fan, Jianrong |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Mt Hazards & Environm, Res Ctr Digital Mt & Remote Sensing Applicat, Chengdu 610041, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Jiali,Fan, Jianrong,Yang, Chao,et al. Novel vegetation indices for estimating photosynthetic and non-photosynthetic fractional vegetation cover from Sentinel data[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2022,109:12. |
APA | Liu, Jiali,Fan, Jianrong,Yang, Chao,Xu, Fubao,&Zhang, Xiyu.(2022).Novel vegetation indices for estimating photosynthetic and non-photosynthetic fractional vegetation cover from Sentinel data.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,109,12. |
MLA | Liu, Jiali,et al."Novel vegetation indices for estimating photosynthetic and non-photosynthetic fractional vegetation cover from Sentinel data".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 109(2022):12. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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