全球植被健康指数（VHI）数据集（1982-2022）

植被健康原始数据由NOAA STAR中心（https://www.star.nesdis.noaa.gov）生产，首先基于AVHRR和VIIRS影像数据的可见光（VIS）、近红外（NIR）和热红外（10.3~11.3μm）等波段生产归一化植被指数（NDVI）和地表温度（LST）产品。然后考虑到气候和生态系统差异，使用多年的NDVI和LST产品，进行平滑和滤波处理，消除高频噪声，并针对地表异质性对数据进行调整。最后利用植被健康指数权重公式，将处理后的NDVI和LST生产为植被状况指数（VCI）、温度状况指数（TCI）和植被健康指数（VHI）产品。VHI值域范围为0~100，表征植被条件从极差（0）到极好（100）的变化。
数据集共包括AVHRR和VIIRS两组植被健康产品， AVHRR数据集从1982年-2022年，空间分辨率为4Km，时间分辨率为7天。VIIRS数据集从2012年-2022年，空间分辨率为1Km，时间分辨率为7天，实现了全球不同气候区域1982-2022年间的全球植被健康状况连续监测。

The original vegetation health data is produced by the NOAA STAR Center (https://www.star.nesdis.noaa.gov). Initially, Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) products are generated using visible (VIS), near-infrared (NIR), and thermal infrared (10.3–11.3 μm) bands from AVHRR and VIIRS satellite imagery. Next, accounting for variations in climate and ecosystems, multi-year NDVI and LST products are subjected to smoothing and filtering to remove high-frequency noise, with adjustments made to the data to address surface heterogeneity. Finally, leveraging the vegetation health index weighting formula, the processed NDVI and LST data are converted into three products: Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). The VHI values range from 0 to 100, representing vegetation conditions ranging from extremely poor (0) to extremely excellent (100).
The dataset comprises two sets of vegetation health products derived from AVHRR and VIIRS, respectively. The AVHRR dataset covers the period from 1982 to 2022, with a spatial resolution of 4 km and a temporal resolution of 7 days. The VIIRS dataset covers the period from 2012 to 2022, with a spatial resolution of 1 km and a temporal resolution of 7 days, enabling continuous global monitoring of vegetation health conditions across different climatic regions from 1982 to 2022.

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背景与挑战

背景概述

该数据集提供了1982年至2022年全球植被健康指数（VHI）的连续监测数据，基于AVHRR和VIIRS卫星影像生产，包括VCI、TCI和VHI产品，值域0-100反映植被健康状况。数据集分为两组：AVHRR数据（1982-2022年，4Km空间分辨率）和VIIRS数据（2012-2022年，1Km空间分辨率），时间分辨率均为7天，数据格式为栅格，总量80 GB，主要用于中国区域的遥感生态研究。