{"title":"1999-2019年秘鲁通贝斯安戈斯图拉自然保护区NDVI趋势","authors":"Ruben Anthony Roque Quiroz","doi":"10.17268/manglar.2022.029","DOIUrl":null,"url":null,"abstract":"The Angostura Faical Regional Conservation Area is a protected area of the Equatorial Dry Forest, which seeks to guarantee the appropriate use of fauna and flora resources under sustainable practices by local populations, in addition to reducing the effects of climate change. Therefore, the trend of the Normalized Difference Vegetation Index (NDVI) in the Angostura Faical Regional Conservation Area was determined and the areas were quantified based on their trend over time. Geographic information systems, remote sensing and platforms such as Google Earth Engine made it possible to obtain data from Landsat 5-7-8 satellite images, and the R programming language was also used in the RStudio integrated development environment for statistical analysis with the Mann Kendall test which is qualitative in nature. It was found that in the time series the neutral trend predominates with a normal behavior in an area of 7,304,568 hectares, in a favorable case in the vegetation, 1,489,457 hectares were found with a positive trend and with a negative trend in the vegetation one surface of 0, 458 hectares located near the La Angostura creek where runoff is captured in rainy weather. It should be considered that the monitoring of the environment is of vital importance for the conservation of natural areas and of the utmost importance for those that provide an environmental service. For this reason, the behavior of our protected areas must be known in order to make decisions with foundations and taking hold of technology","PeriodicalId":34452,"journal":{"name":"Manglar","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NDVI trend in the Angostura Faical Regional Conservation Area of Tumbes, Peru, 1999-2019\",\"authors\":\"Ruben Anthony Roque Quiroz\",\"doi\":\"10.17268/manglar.2022.029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Angostura Faical Regional Conservation Area is a protected area of the Equatorial Dry Forest, which seeks to guarantee the appropriate use of fauna and flora resources under sustainable practices by local populations, in addition to reducing the effects of climate change. Therefore, the trend of the Normalized Difference Vegetation Index (NDVI) in the Angostura Faical Regional Conservation Area was determined and the areas were quantified based on their trend over time. Geographic information systems, remote sensing and platforms such as Google Earth Engine made it possible to obtain data from Landsat 5-7-8 satellite images, and the R programming language was also used in the RStudio integrated development environment for statistical analysis with the Mann Kendall test which is qualitative in nature. It was found that in the time series the neutral trend predominates with a normal behavior in an area of 7,304,568 hectares, in a favorable case in the vegetation, 1,489,457 hectares were found with a positive trend and with a negative trend in the vegetation one surface of 0, 458 hectares located near the La Angostura creek where runoff is captured in rainy weather. It should be considered that the monitoring of the environment is of vital importance for the conservation of natural areas and of the utmost importance for those that provide an environmental service. For this reason, the behavior of our protected areas must be known in order to make decisions with foundations and taking hold of technology\",\"PeriodicalId\":34452,\"journal\":{\"name\":\"Manglar\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Manglar\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17268/manglar.2022.029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Manglar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17268/manglar.2022.029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
NDVI trend in the Angostura Faical Regional Conservation Area of Tumbes, Peru, 1999-2019
The Angostura Faical Regional Conservation Area is a protected area of the Equatorial Dry Forest, which seeks to guarantee the appropriate use of fauna and flora resources under sustainable practices by local populations, in addition to reducing the effects of climate change. Therefore, the trend of the Normalized Difference Vegetation Index (NDVI) in the Angostura Faical Regional Conservation Area was determined and the areas were quantified based on their trend over time. Geographic information systems, remote sensing and platforms such as Google Earth Engine made it possible to obtain data from Landsat 5-7-8 satellite images, and the R programming language was also used in the RStudio integrated development environment for statistical analysis with the Mann Kendall test which is qualitative in nature. It was found that in the time series the neutral trend predominates with a normal behavior in an area of 7,304,568 hectares, in a favorable case in the vegetation, 1,489,457 hectares were found with a positive trend and with a negative trend in the vegetation one surface of 0, 458 hectares located near the La Angostura creek where runoff is captured in rainy weather. It should be considered that the monitoring of the environment is of vital importance for the conservation of natural areas and of the utmost importance for those that provide an environmental service. For this reason, the behavior of our protected areas must be known in order to make decisions with foundations and taking hold of technology