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  • 标题:Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification
  • 本地全文:下载
  • 作者:Vanessa Sousa da Silva ; Gabriela Salami ; Marília Isabelle Oliveira da Silva
  • 期刊名称:Geology, Ecology, and Landscapes
  • 电子版ISSN:2474-9508
  • 出版年度:2020
  • 卷号:4
  • 期号:2
  • 页码:159-169
  • DOI:10.1080/24749508.2019.1608409
  • 语种:English
  • 出版社:Taylor & Francis Group
  • 摘要:ABSTRACTVegetation indices are intended to emphasize the vegetation spectral behavior in relation to the soil and other terrestrial surface targets. The objective of this study was to evaluate the vegetation cover types present in the municipality of Campo Belo do Sul, Brazil, using data from five vegetation indices obtained through satellite images. In order to do so, calculations of the Normalized Difference Vegetation Index (NDVI), Soil-adjusted Vegetation Index (SAVI), Leaf Area Index (LAI), Enhanced Vegetation Index (EVI) and Normalized Difference Water Index (NDWI) were performed using Quantum Gis software. The generated maps allowed the detection of the different vegetation cover classes, thus the results indicated that there is no specific vegetation index that best represents all the evaluated classes in the study, however, NDVI, EVI, and SAVI had good adjustments in the majority of the thematic classes.
  • 关键词:KEYWORDSRemote sensingimage processingLandscape
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