按归一化差值计算的植被指数与南卡罗来纳州伊塔佩马市的地表温度分析

A. B. Birolo, C. A. Suski, Edilson José Santos Melo, Pedro Fernando Wengrzyn dos Passos, Vanessa Dafni Bard
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引用次数: 0

摘要

研究目的本研究使用归一化植被指数 (IVDN) 和地表温度 (TST) 对南卡罗来纳州伊塔佩马市进行分析,以确定热岛的出现及其与社会参与的关系。理论框架:文章中使用的概念与城市中存在的绿地有关,这些绿地可促进降低地表温度,防止形成热岛。方法:该方法是利用 2013 年和 2024 年的 WGS 1984 基准影像、Landsat 8、OLI 传感器(陆地成像仪,波段 4 和 5)来生成 IVDN,并利用 Landsat 图像来计算温度。为计算温度,使用了空间分辨率为 30 米的 Landsat 8 TIRS 传感器(热红外传感器,波段 10)。结果与讨论:结果显示,从时间上分析,陆地表面温度约为 16°C(最低)和 25°C(最高),IVDN 接近 0.5,这些地区的植物质量指数最高,因此地球表面温度最低。研究意义:这些结果有助于了解伊塔佩马/南锡市社会参与对 2030 年议程的贡献及其与气候变化的关系。原创性/价值:这篇文章使用了最新数据,并提出了更具体的结果,这些结果可用于在巴西多个城市创建绿地的项目中。
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 the Vegetation Index by Normalized Difference and the Land Surface Temperature of the Municipality of Itapema/SC
Objective: This study uses the Normalized Difference Vegetation Index (IVDN) and the Land Surface Temperature (TST) in the city of Itapema/SC, in order to enable the identification of the occurrence of heat islands and their relationship with the engagement of society.   Theoretical Framework: The concepts used in the article are related to the existence of green spaces within cities that promote the reduction of surface temperatures and prevent the formation of heat islands.   Method: The methodology was developed with Datum WGS 1984 images from the years 2013 and 2024, Landsat 8, OLI sensor (Operational Land Imager, bands 4 and 5) to generate the IVDN and, to calculate the temperature, a Landsat image was used. 8, TIRS sensor (Thermal Infrared Sensor, band 10) with spatial resolution of 30 meters.   Results and Discussion: The results show a temporal analysis with land surface temperatures around 16°C (minimum) and 25°C (maximum) and IVDN close to 0.5, which correspond to the areas with the highest plant mass indices, consequently, the lowest temperatures on the Earth's surface.   Implications of the Research: These results contributed to understanding the contribution of society's engagement in the municipality of Itapema/SC, towards the 2030 Agenda and its relationship with climate change.   Originality/Value: This article uses updated data and presents more tangible results, the use of which can be used in projects to create green spaces in several cities in Brazil.
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