A dataset of normalized difference vegetation index in the Three-river Headwaters during 2000-2018

Peixia Liu, Junbang Wang, Meng Wang, Xiaofang Sun, Duoping Zhu
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Abstract

Vegetation is an important component of the terrestrial ecosystem. The changes of vegetation are assumed to well indicate the dynamic changes of the ecosystem. However, the changing global climate and the intensifying human activities have a great effect on vegetation growth, which particularly highlights the implications to monitor and assess vegetation changes. Vegetation changes are usually measured by vegetation indexes. The normalized difference vegetation index (NDVI) based on remote sensing is widely used in the studies on vegetation changes and climate impact. In this study, we used the spectral reflectance data product (MOD09Q1) of the Moderate Resolution Imaging Spectrometer (MODIS) from 2000 to 2018 to calculate the NDVI (with a spatial resolution of 250m and temporal step of 8 days). The S-G filtering method of the TIMESAT3.2 software is applied to remove the noise in the NDVI time series for the reconstruction of time series. In this way, we finally obtained this dataset, which is open to the public for sharing and downloading. It is expected to support further studies on the dynamic changes of vegetation in the Three-river Headwaters.
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2000-2018年三江源区归一化植被指数差异数据集
植被是陆地生态系统的重要组成部分。植被的变化可以很好地反映生态系统的动态变化。然而,全球气候的变化和人类活动的加剧对植被的生长产生了巨大的影响,这尤其突出了监测和评估植被变化的意义。植被变化通常用植被指数来衡量。基于遥感的归一化植被指数(NDVI)广泛应用于植被变化和气候影响研究。本研究利用2000 - 2018年中分辨率成像光谱仪(MODIS)的光谱反射率数据产品(MOD09Q1)计算NDVI(空间分辨率为250m,时间步长为8天)。采用TIMESAT3.2软件的S-G滤波方法去除NDVI时间序列中的噪声,重建时间序列。通过这种方式,我们最终获得了这个数据集,并开放给公众分享和下载。为进一步研究三江源区植被动态变化提供了理论依据。
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