水土保持研究2024，Vol.31Issue(1)：260-268,9.DOI:10.13869/j.cnki.rswc.2024.01.045
基于GoogleEarthEngine的黄土高原植被覆盖度时空变化特征分析
Analysis on the Characteristics of the Spatiotemporal Change in Vegetation Coverage on the Loess Plateau Using the Google Earth Engine
摘要
Abstract
[Objective]This study aims to explore the vegetation cover change and its response of climate factors for coping with global climate change and promoting the ecological protection and high-quality devel-opment of the Loess Plateau.[Methods]Based on NDVI,temperature and precipitation data of the Loess Plateau from 2001 to 2020,pixel dichotomy,linear regression and time lag partial correlation analysis models were used to characterize the vegetation cover change on the Loess Plateau and its response mechanism to climate factors.[Results]The annual vegetation coverage in the Loess Plateau had increased at a rate of 0.076/decade in past two decades with a predominantly significant spatial distribution of pronounced growth.The areas of vegetation cover that fluctuated greatly accounted for 38.29％of the whole area.The relation-ship between monthly vegetation cover,temperature and precipitation on the Loess Plateau was significantly positive correlation,and precipitation was the main factor affecting vegetation change.The lag time of vege-tation response to precipitation was mainly 3 months,and the lag time of vegetation response to temperature existed spatial differences between southeast(0～1 month)and northwest(2～3 months).[Conclusion]The vegetation changes in the Loess Plateau were primarily influenced by precipitation.Over the course of 20 years,there had been a favorable recovery of vegetation.However,there were significant fluctuations in this change.Future efforts should continue to focus on ecological conservation work in order to ensure the consol-idation of these improvements.关键词
植被覆盖度/GEE/时滞相关/气候变化/黄土高原Key words
vegetation coverage/Google Earth Engine/lagged correlations/climate change/Loess Plateau分类
农业科技引用本文复制引用
姚楠,董国涛,薛华柱..基于GoogleEarthEngine的黄土高原植被覆盖度时空变化特征分析[J].水土保持研究,2024,31(1):260-268,9.基金项目
国家自然科学基金项目(51779099,51779209,51909099) （51779099,51779209,51909099）
国家重点研发计划项目(2016YFC0402400) （2016YFC0402400）
