Marian Necula, Tudorel Andrei, Bogdan Oancea, Mihaela Păun
{"title":"Urban Green Index estimation based on data collected by remote sensing for Romanian cities","authors":"Marian Necula, Tudorel Andrei, Bogdan Oancea, Mihaela Păun","doi":"arxiv-2402.18618","DOIUrl":null,"url":null,"abstract":"The modernization of offi cial statistics involves the use of new data\nsources, such as data collected through remote sensing. The document contains a\ndescription of how an urban green index, derived from the SDG 11.7 objective,\nwas obtained for Romania's 41 county seat cities based on free data sets\ncollected by remote sensing from the European and North American space\nagencies. The main result is represented by an estimate of the areas of\nsurfaces covered with vegetation for the 40 county seat towns and the\nmunicipality of Bucharest, relative to the total surface. To estimate the area\ncovered with vegetation, we used two data sets obtained by remote sensing,\nnamely data provided by the MODIS mission, the TERRA satellite, and data\nprovided by the Sentinel 2 mission from the Copernicus space program. Based on\nthe results obtained, namely the surface area covered with vegetation,\nestimated in square kilometers, and the percentage of the total surface area or\nurban green index, we have created a national top of the county seat cities","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"2018 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Other Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2402.18618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The modernization of offi cial statistics involves the use of new data
sources, such as data collected through remote sensing. The document contains a
description of how an urban green index, derived from the SDG 11.7 objective,
was obtained for Romania's 41 county seat cities based on free data sets
collected by remote sensing from the European and North American space
agencies. The main result is represented by an estimate of the areas of
surfaces covered with vegetation for the 40 county seat towns and the
municipality of Bucharest, relative to the total surface. To estimate the area
covered with vegetation, we used two data sets obtained by remote sensing,
namely data provided by the MODIS mission, the TERRA satellite, and data
provided by the Sentinel 2 mission from the Copernicus space program. Based on
the results obtained, namely the surface area covered with vegetation,
estimated in square kilometers, and the percentage of the total surface area or
urban green index, we have created a national top of the county seat cities