中国科学数据（中英文网络版）2025，Vol.10Issue(2)：555-568,14.DOI:10.11922/11-6035.csd.2024.0067.zh
长江三角洲地区1984-2023年30 m年最大植被指数数据集
A dataset of annual maximum vegetation indices at a 30-meter resolution in the Yangtze River Delta from 1984 to 2023
摘要
Abstract
Vegetation growth is crucial for evaluating the regional ecological environment.In recent years,rapid urbanization in the Yangtze River Delta has led to the widespread conversion of natural surfaces and agricultural land into construction areas,resulting in a substantial loss of vegetation area,and exerting pressure on the ecological environment and spatial resources.Satellite remote sensing is an effective tool for conducting continuous monitoring of ecosystems in both temporal and spatial dimensions.This study,based on the Google Earth Engine(GEE)cloud platform,utilized Landsat series satellite products to generate a dataset of the annual maximum Normalized Difference Vegetation Index(NDVI),Enhanced Vegetation Index(EVI),and Kernel Normalized Difference Vegetation Index(kNDVI)at a 30-meter resolution in the Yangtze River Delta from 1984 to 2023.The dataset can reflect the regional vegetation growth conditions and long-term temporal change characteristics.To ensure the accuracy and reliability of the data,linear interpolation and the Savitzky-Golay filter are employed to smooth the bands,effectively removing noise in the spectral domain.The stable long-term image product MODIS 13Q1 was employed to verify the occurrence dates of the annual maximum values of the three vegetation indices,enhancing the readability and usability of the data.The dataset provides robust data support for the spatiotemporal evolution of vegetation coverage and related research in the Yangtze River Delta.关键词
植被指数/长江三角洲/NDVI/EVI/kNDVI/1984-2023/遥感产品Key words
vegetation index/Yangtze River Delta/NDVI/EVI/kNDVI/1984-2023/remote sensing product引用本文复制引用
曾珂,慈萌瑶,朱泓恺,张淑怡,王玥,张艺玟,刘敏..长江三角洲地区1984-2023年30 m年最大植被指数数据集[J].中国科学数据（中英文网络版）,2025,10(2):555-568,14.基金项目
国家重点研发计划(2022YFF0802104) （2022YFF0802104）
上海市"科技创新行动计划"社会发展科技攻关项目(22dz1202600). National Key Research and Development Program of China(2022YFF0802104) （22dz1202600）
Science and Technology Commission of Shanghai Municipality(22dz1202600). （22dz1202600）
