Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite

S. C. D. Lima, J. M. D. Moraes Neto, Josilene P. Lima, Felipe C. de Lima, L. M. F. Saboya
{"title":"Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite","authors":"S. C. D. Lima, J. M. D. Moraes Neto, Josilene P. Lima, Felipe C. de Lima, L. M. F. Saboya","doi":"10.1590/1807-1929/agriambi.v27n8p632-642","DOIUrl":null,"url":null,"abstract":"ABSTRACT Indices based on data from remote sensors play an important role in the characterization, mapping and monitoring of a drought event. Thus, the objective of this study was to monitor the dynamics of agricultural drought, through the response of vegetation, in the semi-arid region that comprises the state of Paraíba, Brazil, through MODIS satellite products applied to the VCI (vegetation condition index), TCI (temperature condition index) and VHI (vegetation health index) indices, and to evaluate the correspondence of VHI index with standardized precipitation index (SPI) and agricultural standardized precipitation index (aSPI). In this study, values of NDVI (normalized difference vegetation index) and LST (land surface temperature) - covering the period between 2010 and 2020 - were used to estimate VCI, TCI and VHI. In addition, the correspondence of VHI with SPI and aSPI was evaluated at the 12-month time scale, conducted using Pearson’s correlation analysis. Characteristics of a stressed vegetation predominated in the study region, due to irregularity of precipitation and high temperatures, confirming the possibility of detection of droughts through VHI, VCI and TCI, and that the indices detected remotely and through local data are strongly correlated in drought detection.","PeriodicalId":21302,"journal":{"name":"Revista Brasileira de Engenharia Agrícola e Ambiental","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Engenharia Agrícola e Ambiental","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/1807-1929/agriambi.v27n8p632-642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACT Indices based on data from remote sensors play an important role in the characterization, mapping and monitoring of a drought event. Thus, the objective of this study was to monitor the dynamics of agricultural drought, through the response of vegetation, in the semi-arid region that comprises the state of Paraíba, Brazil, through MODIS satellite products applied to the VCI (vegetation condition index), TCI (temperature condition index) and VHI (vegetation health index) indices, and to evaluate the correspondence of VHI index with standardized precipitation index (SPI) and agricultural standardized precipitation index (aSPI). In this study, values of NDVI (normalized difference vegetation index) and LST (land surface temperature) - covering the period between 2010 and 2020 - were used to estimate VCI, TCI and VHI. In addition, the correspondence of VHI with SPI and aSPI was evaluated at the 12-month time scale, conducted using Pearson’s correlation analysis. Characteristics of a stressed vegetation predominated in the study region, due to irregularity of precipitation and high temperatures, confirming the possibility of detection of droughts through VHI, VCI and TCI, and that the indices detected remotely and through local data are strongly correlated in drought detection.
基于MODIS卫星指数的半干旱植被对农业干旱的响应
基于遥感数据的指数在干旱事件的表征、制图和监测中发挥着重要作用。因此,本研究的目的是监测包括巴西Paraíba州在内的半干旱地区的农业干旱动态,通过MODIS卫星产品应用于VCI(植被状况指数)、TCI(温度状况指数)和VHI(植被健康指数)指数。评价VHI指数与标准化降水指数(SPI)和农业标准化降水指数(aSPI)的对应关系。本研究利用2010 - 2020年NDVI(归一化植被指数)和LST(地表温度)值估算了VCI、TCI和VHI。此外,采用Pearson相关分析,在12个月的时间尺度上评估VHI与SPI和aSPI的对应关系。研究区由于降水的不均匀性和高温,主要表现为植被受胁迫的特征,这证实了通过VHI、VCI和TCI检测干旱的可能性,并且远程检测的指数与通过当地数据检测的指数在干旱检测中具有很强的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信