A dataset of annual maximum vegetation indices at a 30-meter resolution for the Yangtze River Delta region from 1984 to 2023

This study is based on the Google Earth Engine (GEE) cloud platform, utilizing Landsat series products to generate a dataset of annual maximum vegetation indices (including NDVI, EVI, and kNDVI) at a 30-meter resolution for the Yangtze River Delta region of China from 1984 to 2023. 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 MODIS13Q1 was employed to verify the occurrence dates of the maximum values of the three vegetation indices, enhancing the readability and usability of the data. The construction of this dataset provides robust data support for the spatiotemporal evolution of vegetation coverage and related research in the Yangtze River Delta region. The dataset consists of three vegetation index datasets, hence, there are three folders named csj_ndvi, csj_evi, and csj_kndvi. Each folder contains three subfolders named nolisg_ + ndvi/evi/kndvi + _csj (original data), lisg_ + ndvi/evi/kndvi + _csj (data processed by linear interpolation and SG filtering, referred to as processed data), and qa_ + ndvi/evi/kndvi + _csj (quality assessment). Within each subfolder, spatial distribution data of annual maximum vegetation indices from 1984 to 2023 are included, with data format in *.tif.

本研究基于谷歌地球引擎（Google Earth Engine，GEE）云平台，利用陆地卫星（Landsat）系列产品，生成了1984年至2023年中国长江三角洲地区30米分辨率的年度最大植被指数数据集，涵盖归一化植被指数（NDVI）、增强型植被指数（EVI）以及核化归一化植被指数（kNDVI）。为保障数据的准确性与可靠性，本研究采用线性插值与萨维茨基-戈莱（Savitzky-Golay）滤波对波段进行平滑处理，有效去除光谱域内的噪声。本研究选用稳定的长期影像产品MODIS13Q1对三类植被指数的最大值出现日期进行验证，提升了数据集的可读性与可用性。本数据集共包含三类植被指数数据集，因此设有csj_ndvi、csj_evi与csj_kndvi三个文件夹。每个文件夹下均包含三个子文件夹：分别为nolisg_+ndvi/evi/kndvi+_csj（原始数据）、lisg_+ndvi/evi/kndvi+_csj（经线性插值与SG滤波处理后的数据集，简称处理后数据）以及qa_+ndvi/evi/kndvi+_csj（质量评估数据）。各子文件夹内均包含1984年至2023年的年度最大植被指数空间分布数据，数据格式为*.tif栅格文件。本数据集的构建为长江三角洲地区植被覆盖的时空演变及相关研究提供了坚实的数据支撑。

搜集汇总

背景与挑战

背景概述

该数据集提供了长江三角洲地区1984年至2023年的年最大植被指数，包括NDVI、EVI和kNDVI三种指数，空间分辨率为30米，基于Landsat卫星数据和Google Earth Engine平台生成。数据集经过线性插值和Savitzky-Golay滤波处理，以去除噪声并提高数据可靠性，并利用MODIS产品进行验证，旨在支持植被覆盖时空演变及相关研究。数据以.tif格式存储，总容量为411.01 GB，包含原始、处理和质控评估三个子集。