摘要
干旱是制约植被生长的重要因素,滇中地区干旱频发,喀斯特地貌广布,生态环境脆弱,研究植被对干旱的响应特征具有重要意义。本文利用滇中地区39个气象站点的标准化降水蒸散发指数(SPEI)数据和结合Landsat-OLI卫星遥感数据计算的归一化植被指数(NDVI),分析了1995—2018年NDVI时空分布特征和多时间尺度的SPEI变化特征及其相关关系,结果表明:1995—2018年间滇中地区SPEI和NDVI变化趋势接近,呈正相关关系,但变化速率有一定差异,在不同时间尺度上相关性表现为相关系数随时间尺度的增大而减弱,月尺度的SPEI与NDVI相关系数较好,r均大于0.45,表明NDVI对其有较强的响应关系。SPEI干旱指数能够反映滇中地区的干旱状况,月尺度的SPEI与植被的生长变化有一定的响应关系。
Drought is an important factor restricting the growth of vegetation.The drought in the central Yunnan is frequent,the Karst landform is widespread,and the ecological environment is fragile.It is of great significance to study the response characteristics of vegetation to drought.This paper analyzed the spatial and temporal distribution characteristics of NDVI from 1995 to 2018,the multi-time scale SPEI variation characteristics,and their correlations based on the standardized precipitation evapotranspiration index(SPEI)data of 39 meteorological stations in the entral Yunnan and the normalized difference vegetation index(NDVI)calculated using LandsatOLI satellite remote sensing data.The results showed that the trend of SPEI and NDVI in the central Yunnan is close to positive correlation from 1995 to 2018,but the change rate is different,and the correlation coefficient is weakened with the increase of time scale at different time scales.The correlation coefficient between SPEI and NDVI on the monthly scale is better,and r is greater than 0.45,indicating that NDVI has a strong response relationship.The SPEI drought index can reflect the drought conditions in the central Yunnan,and the SPEI on the monthly scale has a certain response relationship with the growth and change of vegetation.
作者
邓欢
程峰
王金亮
DENG Huan;CHENG Feng;WANG Jinliang(College of Tourism and Geography,Yunnan Normal University,Kunming 650500,China;Key Laboratory of Remote Sensing for Resources and Environment of Colleges and Universities of Yunnan Province,Kunming 650500,China;Science and Technology Innovation Team of Yunnan University,Kunming 650500,China)
出处
《测绘与空间地理信息》
2020年第11期51-55,共5页
Geomatics & Spatial Information Technology
基金
云南省教育厅基金(01300205020503174)
国家自然科学基金(41271230,41561048)资助。
关键词
滇中
干旱
SPEI
NDVI
遥感
the central Yunnan
drought
SPEI
NDVI
remote sensing
