Agricultural drought analysis for Thuraiyur taluk of Tiruchirappali District using NDVI and land surface temperature data

N. S., J. M., P. Geetha, K. Soman
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引用次数: 6

Abstract

Drastic changes in temperature and rainwater leads to the significant impact on drought which affects agricultural growth. Agricultural drought is a term which explains about reduction in the yield of crops due to abnormalities in rainfall as well as decline in soil moisture that affects agriculture, economy, social aspect, and environment. A trivial variation in the monsoon mainly affects the yield as well as the crops significantly. With the help of remote sensing data agricultural monitoring, management and assessment is done to calculate vegetation and temperature variations. Thuraiyur taluk in Tiruchirappalli District, of Tamilnadu (India) lies in a plain region between 11° 10′ N latitude and 78° 37′ E longitude. It depends mainly on the agriculture therefore the influence of drought affects the yield and the living of humans. The current study deals with the vegetation stress in the Thuraiyur taluk of Tiruchirappalli district with the usage of the Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI). The Landsat data is utilized for the computation of LST and NDVI. The mixture of LST and NDVI, helps to monitor agricultural drought and also as a counsel for farmers. By computing the relationship between LST and NDVI, it is noted that they have a high negative correlation. The correlation between LST and NDVI is −0.763 for the year 2013 and −0.685 for the year 2016. The LST when interrelated with the vegetation index helps to identify the agricultural drought, as demonstrated in the current study.
基于NDVI和地表温度的Tiruchirappali地区Thuraiyur taluk农业干旱分析
气温和雨水的剧烈变化对干旱产生了重大影响,影响了农业的生长。农业干旱是指由于降雨异常和土壤湿度下降而导致作物减产,影响农业、经济、社会和环境的一个术语。季风的微小变化主要影响产量和作物。利用遥感数据进行农业监测、管理和评价,计算植被和温度的变化。Thuraiyur taluk位于印度泰米尔纳德邦的Tiruchirappalli地区,位于北纬11°10′和东经78°37′之间的平原地区。它主要依赖于农业,因此干旱的影响影响到产量和人类的生活。利用地表温度(LST)和归一化植被指数(NDVI)对蒂鲁奇拉帕利(Tiruchirappalli)地区Thuraiyur taluk的植被胁迫进行了研究。利用Landsat数据计算地表温度和NDVI。LST和NDVI的结合有助于监测农业干旱,并为农民提供建议。通过计算LST与NDVI之间的关系,发现两者具有高度的负相关。2013年LST与NDVI的相关系数为- 0.763,2016年为- 0.685。当前研究表明,地表温度与植被指数相关联有助于识别农业干旱。
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