José Carlos de Souza, E. D. Lopes, Jocy Ana Paixão de Sousa, A. C. G. Martins, R. W. Lourenço
{"title":"利用像素间相关指数评估植物覆盖和量化的方法","authors":"José Carlos de Souza, E. D. Lopes, Jocy Ana Paixão de Sousa, A. C. G. Martins, R. W. Lourenço","doi":"10.4090/juee.2018.v12n2.245256","DOIUrl":null,"url":null,"abstract":"This study brings results on Normalized Difference Vegetation Index (NDVI), the Adjusted Vegetation Index of Soil (SAVI) and the Index of Water by Normalized Difference (NDWI) through a method that uses correlation matrices built on a pixel to pixel combination for spatial and temporal analysis of plant cover. The study was developed by using Landsat 8 images from January and August, 2015. Image processing was performed with ArcGis and Matlab building correlation matrices to evaluate variations of each index in Brazilian vegetation. Results showed decreasing values of the three indices from wet to dry period. Climatic conditions influenced on the vigor and moisture content of vegetation. The pixel to pixel correlation method is appropriated to study vegetation changes and quantify increase, decrease or maintenance of vegetation.","PeriodicalId":17594,"journal":{"name":"Journal of Urban and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"METHOD FOR EVALUATING PLANT COVER AND QUANTIFICATION USING PIXEL TO PIXEL CORRELATION INDICES\",\"authors\":\"José Carlos de Souza, E. D. Lopes, Jocy Ana Paixão de Sousa, A. C. G. Martins, R. W. Lourenço\",\"doi\":\"10.4090/juee.2018.v12n2.245256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study brings results on Normalized Difference Vegetation Index (NDVI), the Adjusted Vegetation Index of Soil (SAVI) and the Index of Water by Normalized Difference (NDWI) through a method that uses correlation matrices built on a pixel to pixel combination for spatial and temporal analysis of plant cover. The study was developed by using Landsat 8 images from January and August, 2015. Image processing was performed with ArcGis and Matlab building correlation matrices to evaluate variations of each index in Brazilian vegetation. Results showed decreasing values of the three indices from wet to dry period. Climatic conditions influenced on the vigor and moisture content of vegetation. The pixel to pixel correlation method is appropriated to study vegetation changes and quantify increase, decrease or maintenance of vegetation.\",\"PeriodicalId\":17594,\"journal\":{\"name\":\"Journal of Urban and Environmental Engineering\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Urban and Environmental Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4090/juee.2018.v12n2.245256\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Urban and Environmental Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4090/juee.2018.v12n2.245256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
METHOD FOR EVALUATING PLANT COVER AND QUANTIFICATION USING PIXEL TO PIXEL CORRELATION INDICES
This study brings results on Normalized Difference Vegetation Index (NDVI), the Adjusted Vegetation Index of Soil (SAVI) and the Index of Water by Normalized Difference (NDWI) through a method that uses correlation matrices built on a pixel to pixel combination for spatial and temporal analysis of plant cover. The study was developed by using Landsat 8 images from January and August, 2015. Image processing was performed with ArcGis and Matlab building correlation matrices to evaluate variations of each index in Brazilian vegetation. Results showed decreasing values of the three indices from wet to dry period. Climatic conditions influenced on the vigor and moisture content of vegetation. The pixel to pixel correlation method is appropriated to study vegetation changes and quantify increase, decrease or maintenance of vegetation.
期刊介绍：
Journal of Urban and Environmental Engineering (JUEE) provides a forum for original papers and for the exchange of information and views on significant developments in urban and environmental engineering worldwide. The scope of the journal includes: (a) Water Resources and Waste Management [...] (b) Constructions and Environment[...] (c) Urban Design[...] (d) Transportation Engineering[...] The Editors welcome original papers, scientific notes and discussions, in English, in those and related topics. All papers submitted to the Journal are peer reviewed by an international panel of Associate Editors and other experts. Authors are encouraged to suggest potential referees with their submission. Authors will have to confirm that the work, or any part of it, has not been published before and is not presently being considered for publication elsewhere.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
