Danielle Silva de Paula, J. O. Ortiz, S. Rosim, L. Namikawa
{"title":"A METHODOLOGY FOR DETERMINING AND ANALYZING PERMANENT PROTECTION AREAS OF PROPERTIES DECLARED IN THE RURAL ENVIRONMENTAL REGISTER- CAR","authors":"Danielle Silva de Paula, J. O. Ortiz, S. Rosim, L. Namikawa","doi":"10.1590/s1982-21702021000300016","DOIUrl":null,"url":null,"abstract":"The Permanent Protection Areas (PPA) are relevant to ensure vegetation around the drainage network. This paper presents an automated methodology for the extraction of drainage from the river and automated generation of PPA, and analysis of environmental adequacy. The methodology is based on geoprocessing and remote sensing techniques applied to RapidEye satellite images. The analyzed area covers a portion of the Paraiba do Sul river basin, located in the city of Sao Jose dos Campos (Southern Brazil). Land use and land cover were determined using a digital classifier and estimated within the APP of four rural properties bordering the river. The digital classification of the RapidEye images was evaluated based on the visual interpretation of high spatial resolution airborne orthophotos, as well as through random points that enabled the generation of the Kappa index and global accuracy, showing high agreement. The analysis shows the inadequate land use practice in some properties analyzed, indicating changes in the areas of PPA over the years analyzed. The results of this research show that the proposed methodology can be used for supervision purposes in properties declared in the Rural Environmental Registry (CAR), thus assisting in the decision-making process.","PeriodicalId":55347,"journal":{"name":"Boletim De Ciencias Geodesicas","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Boletim De Ciencias Geodesicas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/s1982-21702021000300016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
The Permanent Protection Areas (PPA) are relevant to ensure vegetation around the drainage network. This paper presents an automated methodology for the extraction of drainage from the river and automated generation of PPA, and analysis of environmental adequacy. The methodology is based on geoprocessing and remote sensing techniques applied to RapidEye satellite images. The analyzed area covers a portion of the Paraiba do Sul river basin, located in the city of Sao Jose dos Campos (Southern Brazil). Land use and land cover were determined using a digital classifier and estimated within the APP of four rural properties bordering the river. The digital classification of the RapidEye images was evaluated based on the visual interpretation of high spatial resolution airborne orthophotos, as well as through random points that enabled the generation of the Kappa index and global accuracy, showing high agreement. The analysis shows the inadequate land use practice in some properties analyzed, indicating changes in the areas of PPA over the years analyzed. The results of this research show that the proposed methodology can be used for supervision purposes in properties declared in the Rural Environmental Registry (CAR), thus assisting in the decision-making process.
期刊介绍:
The Boletim de Ciências Geodésicas publishes original papers in the area of Geodetic Sciences and correlated ones (Geodesy, Photogrammetry and Remote Sensing, Cartography and Geographic Information Systems).
Submitted articles must be unpublished, and should not be under consideration for publication in any other journal. Previous publication of the paper in conference proceedings would not violate the originality requirements. Articles must be written preferably in English language.