M. Amorim, Messias Modesto dos Passos, Amanda Trindade Amorim
{"title":"<s:1> o Paulo-Paraná-Mato南格罗索省土地覆盖、地表温度特征及归一化植被指数差异","authors":"M. Amorim, Messias Modesto dos Passos, Amanda Trindade Amorim","doi":"10.17127/got/2022.24.007","DOIUrl":null,"url":null,"abstract":"The purpose of this article is to analyze the changes in land cover in the São Paulo-Paraná- Mato Grosso do Sul dividing line following the formation of lakes for the generation of energy from hydropower plants, considering the years 2001 and 2021, in addition to verify how the transformations in the landscape affected the vegetation cover and surface temperatures. To do this, images from the Landsat 7 and 8 satellites were used, as well as maps of land cover, and NDVI (Normalized Difference Vegetation Index) and surface temperatures were generated in order to analyze vegetation interference on the target temperatures. Among the available images, those that were suitable for this type of study (without cloud cover) were chosen on representative days of the dry season, taken on August 3, 2001, and on August 18, 2021, as well as of the rainy season, taken on February 7, 2021. The results showed that, even with minor changes in land cover in the period from 2001 to 2021, the decrease in vegetative vigor, as confirmed by the NDVI, in the dry period resulted in an increase in areas with higher target temperatures. It also showed that the spatial variability of surface temperatures in the São Paulo-Paraná-Mato Grosso do Sul dividing line does not depend solely on the transformations in the landscape but is rather directly related to the types of weather that provide greater or lesser precipitation totals in the period prior to the obtaining of the images. Therefore, it was demonstrated that changes in land cover alone do not respond to the variability and intensity of surface temperatures.","PeriodicalId":369350,"journal":{"name":"GOT - Journal of Geography and Spatial Planning","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Land cover and characteristics of surface temperatures and normalized difference vegetation index in the São Paulo-Paraná-Mato Grosso do Sul Division\",\"authors\":\"M. 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引用次数: 0
摘要
本文的目的是分析圣保罗-帕拉帕拉 -南马托格罗索州分界线在水电站发电湖泊形成后的土地覆盖变化,考虑到2001年和2021年,此外还验证了景观的变化如何影响植被覆盖和地表温度。为此,使用了Landsat 7和8卫星的图像,以及土地覆盖图,并生成了NDVI(归一化植被指数)和地表温度,以分析植被对目标温度的干扰。在可用的图像中,适合这种类型研究的图像(没有云层覆盖)是在2001年8月3日和2021年8月18日的旱季代表日以及2021年2月7日的雨季中选择的。结果表明,尽管2001 ~ 2021年土地覆被变化不大,但NDVI证实,干旱期植被活力下降导致目标温度较高的区域增加。它还表明,在 o Paulo-Paraná-Mato南格罗索州分界线上,地表温度的空间变异性并不仅仅取决于景观的变化,而是与在获得图像之前提供或多或少降水总量的天气类型直接相关。因此,地表温度的变率和强度对地表覆盖的变化没有响应。
Land cover and characteristics of surface temperatures and normalized difference vegetation index in the São Paulo-Paraná-Mato Grosso do Sul Division
The purpose of this article is to analyze the changes in land cover in the São Paulo-Paraná- Mato Grosso do Sul dividing line following the formation of lakes for the generation of energy from hydropower plants, considering the years 2001 and 2021, in addition to verify how the transformations in the landscape affected the vegetation cover and surface temperatures. To do this, images from the Landsat 7 and 8 satellites were used, as well as maps of land cover, and NDVI (Normalized Difference Vegetation Index) and surface temperatures were generated in order to analyze vegetation interference on the target temperatures. Among the available images, those that were suitable for this type of study (without cloud cover) were chosen on representative days of the dry season, taken on August 3, 2001, and on August 18, 2021, as well as of the rainy season, taken on February 7, 2021. The results showed that, even with minor changes in land cover in the period from 2001 to 2021, the decrease in vegetative vigor, as confirmed by the NDVI, in the dry period resulted in an increase in areas with higher target temperatures. It also showed that the spatial variability of surface temperatures in the São Paulo-Paraná-Mato Grosso do Sul dividing line does not depend solely on the transformations in the landscape but is rather directly related to the types of weather that provide greater or lesser precipitation totals in the period prior to the obtaining of the images. Therefore, it was demonstrated that changes in land cover alone do not respond to the variability and intensity of surface temperatures.