Shi Lei, Fan Hongjian, Yang Liangyan, Jiang Yuetao, Sun Zenghui, Zhang Yuliang
Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co., Ltd and Xi'an Jiaotong University, Xi'an, Shaanxi, China; Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi'an, Shaanxi, China; School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Shaanxi Construction Land Engineering Quality Inspection Co., Ltd, Xi'an, Shaanxi, China E-mail:
Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co., Ltd and Xi'an Jiaotong University, Xi'an, Shaanxi, China; Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi'an, Shaanxi, China.
Water Sci Technol. 2023 Jul;88(2):430-442. doi: 10.2166/wst.2023.212.
This paper explores the relationship between normalized vegetation index (NDVI) response to precipitation and temperature conditions by analyzing the spatial and temporal variation of vegetation cover (NDVI) in Mu Us Desert during 2000-2019. MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Maximum Value Composites (MVC) is an internationally used statistical method for NDVI data. Based on MODIS remote sensing data, the NDVI of Mu Us Desert sandy land from 2000 to 2019 was analyzed by using the linear regression slope method. In 2000-2010 and 2010-2019, there was a difference in the change rate of vegetation index in Mu Us Desert, with the average slope of 0.0650/10a for the former and 0.0782/10a for the latter. The trends of NDVI values in the study area during 2000-2019 were roughly the same as those of precipitation, and slightly different from those of temperature, but the overall correlation between NDVI values and both was good. There is a significant positive correlation between NDVI and annual precipitation (0.687), and a weak correlation with temperature (0.264). The vegetation growth in Mu Us Desert is affected by both precipitation and temperature.
本文通过分析2000—2019年毛乌素沙漠植被覆盖度（归一化植被指数，NDVI）的时空变化，探讨了NDVI对降水和温度条件的响应关系。中分辨率成像光谱仪（MODIS）植被指数旨在对植被状况进行一致的时空比较。最大值合成法（MVC）是一种国际通用的NDVI数据统计方法。基于MODIS遥感数据，采用线性回归斜率法分析了2000—2019年毛乌素沙漠沙地的NDVI。2000—2010年和2010—2019年，毛乌素沙漠植被指数变化率存在差异，前者平均斜率为0.0650/10年，后者为0.0782/10年。2000—2019年研究区NDVI值的变化趋势与降水量大致相同，与气温变化趋势略有不同，但NDVI值与二者的总体相关性良好。NDVI与年降水量呈显著正相关（0.687），与气温呈弱相关（0.264）。毛乌素沙漠植被生长受降水和温度的共同影响。
