Cherry blossom and ginkgo leaf coloration phenology dataset of China from 2009 to 2019 extracted from big data
文献类型：期刊论文
| 作者 | Wang, Shenghong; Liu, Haolong1; Qin, Xinyue; Dai, Junhu1; Liu, Jun |
| 刊名 | GEOSCIENCE DATA JOURNAL
 |
| 出版日期 | 2023-12-10 |
| 卷号 | N/A |
| 关键词 | big data cherry blossom ginkgo leaf coloration logistic regression phenology |
| DOI | 10.1002/gdj3.231 |
| 文献子类 | Article ; Data Paper ; Early Access |
| 英文摘要 | Ground-based phenological observation data are the most accurate phenological monitoring data currently available. Making effective use of available information on social media to retrieve phenological data is of considerable value in alleviating the lack of phenological data in regions with missing observation sites. In this study, a logistic curve fitting method was developed to extract phenological data on specific species from social media data. After verifying the relationship between the site observation data and the temperature, timing data for two typical phenological phenomena in China, namely cherry blossom flowering in spring and ginkgo leaf coloration in autumn were reconstructed and published. The data availability is from 2010 to 2019 in 176 cities and 2009 to 2018 in 155 cities. This dataset is an effective supplement for existing phenological data, and this method also provides a reference for obtaining phenological data for specific species. This study used a logistic curve fitting method to extract phenological timing data of specific species from social media, based on which the timing data for spring flowering of cherry blossoms and autumn coloration of ginkgo in China were validated and published. This makes a significant contribution, as this dataset is an effective complement to the phenological data not available, and the method also provides a reference for obtaining phenological data for other specific species.image |
| WOS关键词 | CLIMATE-CHANGE ; WOODY-PLANTS |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:001118612500001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200924]  |
| 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.Sichuan Univ, Tourism Sch, Chengdu, Peoples R China 2.Univ Chinese Acad Sci, CAS, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Shenghong,Liu, Haolong,Qin, Xinyue,et al. Cherry blossom and ginkgo leaf coloration phenology dataset of China from 2009 to 2019 extracted from big data[J]. GEOSCIENCE DATA JOURNAL,2023,N/A. |
| APA | Wang, Shenghong,Liu, Haolong,Qin, Xinyue,Dai, Junhu,&Liu, Jun.(2023).Cherry blossom and ginkgo leaf coloration phenology dataset of China from 2009 to 2019 extracted from big data.GEOSCIENCE DATA JOURNAL,N/A. |
| MLA | Wang, Shenghong,et al."Cherry blossom and ginkgo leaf coloration phenology dataset of China from 2009 to 2019 extracted from big data".GEOSCIENCE DATA JOURNAL N/A(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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