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| DOI | 10.1016/j.dib.2024.110297 |
| A satellite-derived dataset on vegetation phenology across Central Asia from 2001 to 2023 | |
| 发表日期 | 2024 |
| ISSN | 2352-3409 |
| 起始页码 | 54 |
| 卷号 | 54 |
| 英文摘要 | Satellite -observed land surface phenology (LSP) data have helped us better understand terrestrial ecosystem dynamics at large scales. However, uncertainties remain in comprehending LSP variations in Central Asian drylands. In this article, an LSP dataset covering Central Asia (45-100 degrees E, 33- 57 degrees N) is introduced. This LSP dataset was produced based on Moderate Resolution Imaging Spectroradiometer (MODIS) 0.05 -degree daily reflectance and land cover data. The phenological dynamics of drylands were tracked using the seasonal profiles of near -infrared reflectance of vegetation (NIRv). NIRv time series processing involved the following steps: identifying low -quality observations, smoothing the NIRv time series, and retrieving LSP metrics. In the smoothing step, a median filter was first applied to reduce spikes, after which the stationary wavelet transform (SWT) was used to smooth the NIRv time series. The SWT was performed using the Biorthogonal 1.1 wavelet at a decomposition level of 5. Seven LSP metrics were provided in this dataset, and they were categorized into the following three groups: (1) timing of key phenological events, (2) NIRv values essential for the detection of the phenological events throughout the growing season, and (3) NIRv value linked to vegetation growth state during the growing season. This LSP dataset is use ful for investigating dryland ecosystem dynamics in response to climate variations and human activities across Central Asia. (c) 2024 The Author(s). Published by Elsevier Inc. |
| 英文关键词 | Land surface phenology; Ecosystem dynamics; Drylands; Climate change; Remote sensing; MODIS; Near -infrared reflectance of vegetation |
| 语种 | 英语 |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS类目 | Multidisciplinary Sciences |
| WOS记录号 | WOS:001209498100001 |
| 来源期刊 | DATA IN BRIEF
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/298179 |
| 作者单位 | Beijing Normal University; Beijing Normal University |
| 推荐引用方式 GB/T 7714 | . A satellite-derived dataset on vegetation phenology across Central Asia from 2001 to 2023[J],2024,54. |
| APA | (2024).A satellite-derived dataset on vegetation phenology across Central Asia from 2001 to 2023.DATA IN BRIEF,54. |
| MLA | "A satellite-derived dataset on vegetation phenology across Central Asia from 2001 to 2023".DATA IN BRIEF 54(2024). |
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