Evaluation of Urban Vegetation Phenology Using 250 m MODIS Vegetation Indices
文献类型：期刊论文
| 作者 | Zhang, Hongxin1,5; Wang, Xiaoyue3,4; Peng, Dailiang2 |
| 刊名 | PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 88期号:7页码:461-467 |
| ISSN号 | 0099-1112 |
| DOI | 10.14358/PERS.21-00049R3 |
| 通讯作者 | Wang, Xiaoyue(wangxy@igsnrr.ac.cn) |
| 英文摘要 | The dynamics o 'urban vegetation phenology play an important role in influencing human activities. Previous studies have shown high-resolution remote sensing as a tool for urban vegetation mapping, but the low temporal resolution of these data limits their use for phenological modeling. Then fore, it is of great significance to evaluate Moderate Resolution Imaging Spectroradiometer (MoDis) imagery for urban vegetation phenology monitoring. Here, we extracted the start and end of growing season (SOS and EOS) in urban ecosystems based on both the Normalized Difference Vegetation Index (soig) and the Enhanced Vegetation Index (EVI) from the 250 m MODIS vegetation indices product (MOD13Q1). Then the accuracies of the satellite-derived SOS and EOS were evaluated through comparing phenological observations at 18 ground sites. Results showed that SOS was most consistent with the prime of leaf unfolding date and EOS was most consistent with the beginning of leaf coloring date. Overall, Ell was found to have stronger predictive strength than NDVI in detecting urban vegetation phenology in terms of both higher correlation coefficients and lower root-mean-square errors. In addition, the dynamic threshold method was more accurate in deriving SOS, while the double logistic method had relatively higher accuracy in deriving EOS. |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; GROWING-SEASON ; SPRING PHENOLOGY ; TIME-SERIES ; CHINA ; NDVI ; TEMPERATE ; SATELLITE ; ECOSYSTEMS ; DYNAMICS |
| 资助项目 | National Natural Science Foundation of China[42071329] ; National Natural Science Foundation of China[41901359] ; Start-up Research Program of IGSNRR |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000847515200008 |
| 出版者 | AMER SOC PHOTOGRAMMETRY |
| 资助机构 | National Natural Science Foundation of China ; Start-up Research Program of IGSNRR |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/182183]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Xiaoyue |
| 作者单位 | 1.Hebei Technol Innovat Ctr Remote Sensing Identifi, Shijiazhuang 050024, Hebei, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 5.Hebei Normal Univ, Coll Geog Sci, Shijiazhuang 050024, Hebei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Hongxin,Wang, Xiaoyue,Peng, Dailiang. Evaluation of Urban Vegetation Phenology Using 250 m MODIS Vegetation Indices[J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,2022,88(7):461-467. |
| APA | Zhang, Hongxin,Wang, Xiaoyue,&Peng, Dailiang.(2022).Evaluation of Urban Vegetation Phenology Using 250 m MODIS Vegetation Indices.PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,88(7),461-467. |
| MLA | Zhang, Hongxin,et al."Evaluation of Urban Vegetation Phenology Using 250 m MODIS Vegetation Indices".PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 88.7(2022):461-467. |
入库方式： OAI收割
来源：地理科学与资源研究所
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