Abstract

Rainfall and temperature are the key factors responsible for vegetation condition, health and growth. This research work analysis spatiotemporal phenomena in between SPI, LST and VIs in summer session from 2000 to 2018 in European Russia. This study used MODIS, NDVI, LST and TRMM data. The negative SPI values represent increasing drought events with reducing rainfall and vice-versa. Numerical consequences specify that mean annual rainfall, VIs variate according to SPI values and they completely change in the year 2004, 2009 and 2015. VIs also indirectly related to LST as high LST values (high temperature) associated with low VIs values (low vegetation) and vice-versa, with correlation coefficients 0.90. Correlation analysis of VIs, SPI and LST indicate close relationship in between vegetation, rainfall and temperature and this relationship can be used for near real time vegetation drought dynamics monitoring through satellite data for short term to long term changes in vegetation growth.

摘要

降雨和温度是影响植被状况、健康和生长的关键因素。本研究工作分析了 2000 年至 2018 年欧洲俄罗斯夏季会议 SPI、LST 和 VI 之间的时空现象。本研究使用 MODIS、NDVI、LST 和 TRMM 数据。负 SPI 值表示随着降雨减少而干旱事件增加，反之亦然。数值结果表明，平均年降雨量 VI 根据 SPI 值而变化，它们在 2004 年、2009 年和 2015 年完全改变。VI 也与 LST 间接相关，因为高 LST 值（高温）与低 VI 值（低植被）相关反之亦然，相关系数为 0.90。VIs、SPI和LST的相关分析表明植被之间的关系密切，