Analysis of Relationship between Vegetation Indices and Land Surface Temperature using GIS and Python in Middle Ganga Plain, India

Aman Arora, M. A. Siddiqui, Manish Pandey
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Abstract

Global vegetation dynamics is a significant phenomenon being monitored from space. This study attempts to establish relationship among vegetation changes and land surface temperature using the data derived from satellite products in the Middle Ganga Plain, India using python programming. Ten years of MODIS Land Surface Temperature (LST) on board Terra, Normalized Difference Vegetation Index/Enhanced Vegetation Index (NDVI/EVI) (1km spatial and 8-days composite temporal resolution for LST and 250m spatial and 16-days composite for NDVI/EVI) has been used in this study. The average LST for the month of January was 23.0°C which fell to 15.7°C for the same month in 2015; whereas in March it was recorded to be 35.3°C and reduced to 32.3°C in 2015. Mean NDVI value has been recorded to be 0.44 in January 2000 which has slightly increased to reach 0.50 for the same month in 2015. For the month of September, it was recorded at 0.49 in 2000 and 0.52 for the same month in 2015. This paper attempts to analyze the spatio-temporal distribution and empirical relationship of vegetation cover and LST using Python.
基于GIS和Python的印度恒河平原中部植被指数与地表温度关系分析
全球植被动态是从空间监测的一个重要现象。本研究利用印度恒河平原中部的卫星产品数据,利用python编程建立植被变化与地表温度的关系。本文利用10年陆地MODIS地表温度(LST)、归一化植被指数/增强植被指数(NDVI/EVI) (LST空间分辨率为1km, 8天复合时间分辨率;NDVI/EVI空间分辨率为250m, 16天复合时间分辨率)。1月平均地表温度为23.0°C, 2015年1月降至15.7°C;而今年3月的记录是35.3°C, 2015年降至32.3°C。2000年1月的平均NDVI值为0.44,2015年1月略有上升,达到0.50。2000年9月为0.49,2015年9月为0.52。本文试图利用Python分析植被覆盖与地表温度的时空分布及其经验关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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