1990-2022年蒙古国植被覆盖度数据集
收稿日期: 2024-08-01
录用日期: 2024-11-04
网络出版日期: 2025-02-05
基金资助
国家重点研发计划项目(2022YFE0119200);国家自然科学基金资助项目(41977059);国家自然科学基金资助项目(41501571)
Vegetation Cover Dataset of Mongolia from 1990 to 2022
Received date: 2024-08-01
Accepted date: 2024-11-04
Online published: 2025-02-05
蒙古高原是我国北方重要生态屏障,蒙古国生态功能的稳定与健康对于深入了解全球气候变暖的区域植被响应特征及筑牢我国北方生态屏障具有重要的理论与现实意义。植被覆盖度(FVC)是指评估地表植被覆盖程度的指标,通常用于衡量植被对地表的覆盖情况,是评价草原生态系统健康的重要指标之一,对及时监测草原植被的变化情况、发现草原退化和恢复的趋势具有重要意义。植被覆盖度的变化直接影响土壤侵蚀和水土流失,监测和控制植被覆盖度有助于减缓土壤侵蚀速度,维护草原生态系统的稳定性。本研究旨在生成并验证1990年至2022年间空间分辨率为1/12°的年度FVC数据集,以反映长时间序列下蒙古国植被覆盖度空间分布情况。为确保数据集的准确性和可靠性,研究结合了MOD13Q1数据进行计算校准和验证,以确保FVC计算的精度。本研究通过植被覆盖度数据集的构建,为蒙古国草原生态系统的保护与管理提供了科学依据。
数据摘要:
| 项目 | 描述 |
|---|---|
| 数据集名称 | 1990-2022年蒙古国植被覆盖度数据集 |
| 所属学科 | 生态学 |
| 研究主题 | 植被覆盖度计算 |
| 数据时间范围 | 1990-2022 |
| 时间分辨率 | 1年 |
| 数据地理空间覆盖 | (41°—53°N,87°—121°E) |
| 空间分辨率 | 1/12° |
| 数据类型与技术格式 | .tiff |
| 数据库(集)组成 | 数据集为1990-2022年年度蒙古国1/12°的植被覆盖度 |
| 数据量 | 7.47 MB |
| 主要数据指标 | NDVI、FVC |
| 数据可用性 | https://cstr.cn/17058.11.sciencedb.agriculture.00118 https://doi.org/10.57760/sciencedb.agriculture.00118 |
| 经费支持 | 国家重点研发计划项目(2022YFE0119200);国家自然科学基金项目(41977059, 41501571) |
杨梅焕, 李雅雯, 王涛 . 1990-2022年蒙古国植被覆盖度数据集[J]. 农业大数据学报, 2025 , 7(1) : 69 -76 . DOI: 10.19788/j.issn.2096-6369.100041
The Mongolian Plateau, a crucial ecological barrier in Northern China, necessitates stable and healthy ecological functions in Mongolia for understanding regional vegetation's response to global warming and reinforcing our northern ecological defenses. Fractional Vegetation Cover (FVC) is an indicator used to assess the extent of vegetation cover on the Earth's surface. It is commonly utilized to measure the coverage provided by vegetation, serving as a crucial metric for evaluating the health of grassland ecosystems. Monitoring changes in FVC is significant for promptly detecting trends in grassland degradation and recovery. Variations in FVC directly impact soil erosion and water loss, and monitoring and controlling FVC can help slow down soil erosion and maintain the stability of grassland ecosystems. This study aims to generate and validate an annual FVC dataset with a spatial resolution of 1/12° spanning from 1990 to 2022, with the objective of comprehensively reflecting the distribution of vegetation cover in Mongolia over an extended temporal series. To ensure the accuracy and reliability of the dataset, the study integrated MOD13Q1 data for computational calibration and validation, thereby guaranteeing the precision of FVC calculations. By constructing this FVC dataset, the study provides a scientific basis for the conservation and management of the grassland ecosystem in Mongolia.
Data summary:
| Item | Description |
|---|---|
| Dataset name | Vegetation Cover Dataset of Mongolia from 1990 to 2022 |
| Specific subject area | Ecology |
| Research topic | Vegetation Monitoring and Analysis |
| Time range | 1990-2022 |
| Temporal resolution | 1 year |
| Geographical scope | (41°—53°N,87°—121°E) |
| Spatial resolution | 1/12° |
| Data types and technical formats | .tiff |
| Dataset structure | The dataset is the annual 1/12°vegetation coverage of Mongolia from 1990 to 2022. |
| Volume of dataset | 7.47 MB |
| Key index in dataset | NDVI, FVC |
| Data accessibility |
https://cstr.cn/17058.11.sciencedb.agriculture.00118 https://doi.org/10.57760/sciencedb.agriculture.00118 |
| Financial support | The National Key Research and Development Program project (2022YFE0119200); National Natural Science Foundation of China projects (41977059, 41501571). |
Key words: Mongolia; vegetation coverage; spatiotemporal distribution
| [1] | PIAO S, WANG X, CIAIS P, et al. Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006. Global Change Biology, 2011, 17(10): 3228-3239. |
| [2] | YU Y, HUA T, CHEN L, et al. Divergent changes in vegetation greenness, productivity, and rainfall use efficiency are characteristic of ecological restoration towards high-quality development in the Yellow River Basin. Engineering, 2024, 34: 109-119. |
| [3] | YANG J, WAN Z, BORJIGIN S, et al. Changing trends of NDVI and their responses to climatic variation in different types of grassland in Inner Mongolia from 1982 to 2011. Sustainability, 2019, 11(12): 3256. |
| [4] | 陈芳, 刘虎俊, 刘淑娟, 等. 基于MODIS的蒙古国2003-2017 年荒漠化动态监测. 西北林学院学报, 2019, 34(5): 167-171. |
| [5] | 杜佳梦, 包刚, 佟斯琴, 等. 1982-2015年蒙古国植被覆盖变化及其与气候变化和人类活动的关系. 草业学报, 2021, 33(2):1-13. |
| [6] | CAO D, WEN S. Dynamic change and attribution regarding fractional vegetation coverage in Mengdong River Basin. Forests, 2024, 15(5) : 746-771. |
| [7] | 佟斯琴, 包玉海, 张巧凤, 等. 基于像元二分法和强度分析方法的内蒙古植被覆盖度时空变化规律分析. 生态环境学报, 2016, 25(5): 737-743. |
| [8] | 史培军, 李博, 李忠厚, 等. 大面积草地遥感估产技术研究——以内蒙古锡林郭勒草原估产为例. 草地学报, 1994, 2(1): 9-13. |
| [9] | XUE W, HAI L, DAO Y, et al. Changes in vegetation coverage and migration characteristics of center of gravity in the arid desert region of Northwest China in 30 recent years. Land, 2022, 11(10): 1688-1688. |
| [10] | 隋建红, 隋岩刚, 李超. 基于植被覆盖度变化的山东泰山区域生态修复工程效果研究. 山东国土资源, 2024, 40(6): 51-56. |
| [11] | 张艳楠, 牛建明, 张庆, 等. 植被指数在典型草原生物量遥感估测: 应用中的问题探讨. 草业学报, 2012, 1(1): 229-238. |
/
| 〈 |
|
〉 |