浙江农业科学 ›› 2025, Vol. 66 ›› Issue (9): 2190-2193.DOI: 10.16178/j.issn.0528-9017.20250043

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基于时序NDVI图谱库的自然保护区植被覆盖变化时空特征研究

古超()   

  1. 中策资讯科技集团有限公司,陕西 西安 710000
  • 收稿日期:2025-01-16 出版日期:2025-09-11 发布日期:2025-10-14
  • 作者简介:古超(1993—),男,陕西西安人,工程师,硕士,研究方向为国土空间规划与设计,E-mail:zqlwqc65@163.com

Spatial and temporal characteristics of vegetation cover change in nature reserves based on time-series NDVI map database

GU Chao()   

  1. Zhongce Information Technology Group Co.,Ltd., Xi'an 710000, Shaanxi
  • Received:2025-01-16 Online:2025-09-11 Published:2025-10-14

摘要:

传统自然保护区植被覆盖变化研究方法多依赖于单一时点的遥感影像数据,难以全面捕捉植被覆盖的时空变化特征,且结果易受噪声干扰,准确性不足。因此,提出了一种基于时序NDVI图谱库的自然保护区植被覆盖变化时空特征研究方法。首先,通过整合多时点遥感数据,构建时序NDVI图谱库;基于图谱库,提取植被覆盖度相关数据,计算覆盖度并作出等级分类;在此基础上,采用时间序列分析、空间格局分析和时空动态变化分析等方法,结合覆盖度等级,全面揭示自然保护区植被覆盖变化的时空特征。研究结果显示,应用该方法后,能够有效地反映保护区植被覆盖变化时空特征,且植被覆盖度与实测数据之间的误差控制在0.3%以内,在反映植被覆盖情况方面具有较高的准确性。

关键词: 时序NDVI图谱库, 自然保护区, 植被覆盖, 变化, 时空特征

Abstract:

Traditional research methods on vegetation cover change in nature reserves mainly rely on remote sensing image data of a single time point, which is difficult to capture the spatial and temporal characteristics of vegetation cover comprehensively, and the results are susceptible to noise interference and lack of accuracy. Therefore, a method based on temporal NDVI map database was proposed to study the spatial and temporal characteristics of vegetation cover change in nature reserves. Firstly, by integrating multi-time point remote sensing data, the temporal NDVI map database was constructed. Based on the map database, the relevant data of vegetation coverage were extracted, and the coverage was calculated and classified. On this basis, using the methods of time series analysis, spatial pattern analysis and spatial and temporal dynamic change analysis, combined with the coverage level, the spatial and temporal characteristics of vegetation cover change in nature reserves were fully revealed. The results showed that this method can effectively reflect the temporal and spatial characteristics of vegetation cover change in protected areas, and the error between vegetation cover and measured data is controlled within 0.3%, which has a high accuracy in reflecting vegetation cover.

Key words: temporal NDVI map library, nature reserve, vegetation cover, change, spatial and temporal characteristics

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