利用时序归一化植被指数(NDVI)和增强植被指数(EVI)影像监测泰米尔纳德邦植被动态

Q4 Immunology and Microbiology
M V Priya, R Kalpana, S Pazhanivelan, R Kumaraperumal, K P Ragunath, G. Vanitha, Ashmitha Nihar, P J Prajesh, Vasumathi V
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引用次数: 0

摘要

植被指数是监测植被变化的重要工具。常用的植被指数,即归一化差异植被指数(NDVI)和增强植被指数(EVI)是由MODIS植被指数产品计算得到的。本研究旨在利用时序NDVI和EVI指数监测2011 - 2021年泰米尔纳德邦植被的季节动态。两个产品更有效地表征了全球范围的植被状态和过程。利用ArcGIS软件对数据源进行处理,提取NDVI和EVI值。植被强度和植被状态随时间的变化存在显著差异,NDVI值大于EVI值,表明泰米尔纳德邦生物量强度随时间变化。NDVI和EVI均值以阔叶林最高(0.83),EVI均值为0.38,农田次之(0.71),EVI均值为0.31,灌丛地NDVI和EVI均值最低(0.68),EVI均值为0.29。研究表明,MODIS提取的植被指数可以在短时间内提供有价值的植被状况信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring vegetation dynamics using multi-temporal Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) images of Tamil Nadu
Vegetation indices serve as an essential tool in monitoring variations in vegetation. The vegetation indices used often, viz., normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) were computed from MODIS vegetation index products. The present study aimed to monitor vegetation's seasonal dynamics by using time series NDVI and EVI indices in Tamil Nadu from 2011 to 2021. Two products characterize the global range of vegetation states and processes more effectively. The data sources were processed and the values of NDVI and EVI were extracted using ArcGIS software. There was a significant difference in vegetation intensity and status of vegetation over time, with NDVI having a larger value than EVI, indicating that biomass intensity varies over time in Tamil Nadu. Among the land cover classes, the deciduous forest showed the highest mean values for NDVI (0.83) and EVI (0.38), followed by cropland mean values of NDVI (0.71) and EVI (0.31) and the lowest NDVI (0.68) and EVI (0.29) was recorded in the scrubland. The study demonstrated that vegetation indices extracted from MODIS offered valuable information on vegetation status and condition at a short temporal time period.
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来源期刊
Journal of Applied and Natural Science
Journal of Applied and Natural Science Immunology and Microbiology-Immunology and Microbiology (all)
CiteScore
0.80
自引率
0.00%
发文量
168
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