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  • 标题:STUDY OF THE VEGETAL COVERING AND LAND USE DYNAMICS IN THE REGION OF JIPARANÁRO USING CLASSIFICATION TECHNICS
  • 本地全文:下载
  • 作者:Nilo Sergio de Oliveira Andrade ; Luciana Spinelli Araujo ; Izaya Numata
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2000
  • 卷号:XXXIII Part B7(/1-4)
  • 页码:63-70
  • 出版社:Copernicus Publications
  • 摘要:The Brazilian Amazon has been object of anthropic activities (agronomic and cattle raising) that have been changing areas of forests into areas destined to the agriculture and pasture, contributing to the alteration of the environment. The evaluation of the vegetal covering and the land use is therefore indispensable for a rational planning that will overcome problems of uncontrolled development and deterioration of the environmental quality. However, high costs and difficulties of obtaining data in a short period characterize the conventional techniques used for that end. In this context, the analysis process and interpretation of images is an effective technique for the evaluation of that dynamics. The aim of this paper is to present the results obtained by the visual analysis and interpretation of Landsat Thematic Mapper (TM) imagery (Path/Row = 231/067) for years 1995 and 1997 using remote sensing techniques for mapping the classes of vegetal covering and land use in the study area, as well as the quantification of the area deforested in that period. It is also showed the results obtained with supervised and unsupervised classifiers. The major change occurred in the area was the mature (primary) and secondary forest that became bare soil and pasture, representing 69.79 Km 2 (6.35%) of the study area. The second more representative alteration was the bare soil that became pasture, representing 33.47 Km 2 or 3.05% of the total area
  • 关键词:Remote Sensing; land use/cover; visual analysis; image classification
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