基于卫星遥感指数的卡纳塔克邦Kolar和Chikkaballapura地区干旱严重程度分析及植被状况预测

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引用次数: 2

摘要

干旱是一种影响深远的自然灾害,包括经济损失和土壤破坏,并威胁到居民的健康和生计。利用GIS和遥感技术对2015-2019年卡纳塔克邦半干旱区植被健康指数进行了观测。利用不同平台的30 m空间分辨率Landsat-8数据集图像识别植被状况指数和温度状况指数。VCI依赖于NDVI数据集。温度条件指数采用LST。结果,产生了VHI,并将干旱分为5类:无干旱、轻度、中度、重度和极端干旱。结果表明,Chinthamani taluk极端农业干旱的最高百分比约为740.20平方公里(20%)。西南季风显示Bagepalli约为397.70平方公里(18%),Sidhlaghatta taluk约为26%(338.55平方公里)。在东北季风中,Malur的极端干旱严重程度为22%(704.05平方公里),Mulubhagilu为26%(909.99平方公里),Bangarapete为21%(879.64平方公里)。在2015-2019年期间,该地区的农业和植被分别受到严重影响。在Kolar和Chikkaballapura地区的东北部都发生了严重到中度干旱。与其他研究年份相比,2016年和2017年的干旱程度较低。这项研究允许对决策者进行监测,解决干旱条件,并进行更有益的调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Drought Severity and Vegetation Condition Prediction Using Satellite Remote Sensing Indices in Kolar and Chikkaballapura Districts, Karnataka State
Drought is a natural hazard with far-reaching effects including economic losses, and soil damages, and threatens the health of residents and livelihood. The present research aimed to observe the vegetation health index across the semi-arid regions of Karnataka state in 2015-2019 using GIS and remote sensing techniques. Landsat-8 dataset images, with a 30 m spatial resolution and from various platforms were used to recognize the Vegetation Condition Index and Temperature Condition Index. The VCI is dependent on the NDVI datasets. The Temperature Condition Index used LST. As an outcome, the VHI was generated and classified into 5 categories of drought: no drought, mild, moderate, severe, and extreme drought. The results indicate that the highest % of the extreme agricultural drought found in Chinthamani taluk is about 740.20 squares Km (20%) area. In the S-W monsoon showed Bagepalli is about 397.70 squares Km (18%), and Sidhlaghatta taluk is about 26 % (338.55 squares Km). In the North-east Monsoon extreme drought severity was affected in Malur at 22% (704.05 squares Km), Mulubhagilu at 26 % (909.99 squares Km), and Bangarapete at 21% (879.64 sq. km) of the area have severely affected the agriculture and vegetation from 2015-2019 respectively. Severe to moderate drought occurred in the north–east part of both areas of Kolar and Chikkaballapura districts. 2016 and 2017 experienced a less level of drought % with compared to the other study years. This study allows the monitoring of decision-makers, resolves drought conditions, and investigates more beneficially.
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