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  • 标题:GIS AND REMOTE SENSING TECHNIQUES APPLIED FOR LAND-USE SUITABILITY STUDY
  • 本地全文:下载
  • 作者:Gabriela Ippoliti ; Magaly O. Mortara ; Ana Carolina Rezende
  • 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:592-597
  • 出版社:Copernicus Publications
  • 摘要:The purpose of this work is the evaluation of discrepancies in the current land-use/land-cover (LU/LC) and the land-use capability (LUC) for agriculture in S.o Paulo State, Brazil. The LU/LC map was produced by processing and interpreting a Landsat TM image. Soil map, topographic maps and ground truth data were used as ancillary data for image analysis. After image interpretation, the thematic map resulted in the following LU/LC classes: urban/developed, water, agriculture, pasture and forest. A triangular irregular network (TIN) was interpolated from contour lines and elevation points (VIPs) considering drainage as breaklines. The slope map was created from DEM with 30 meters cell resolution and it was recoded in 5 classes. The soil map was converted into a grid. Both slope map and soil map were combined and the LUC map was created. The criteria for evaluating LUC classes were based on USDA approach. The combination of both LU/LC and LUC maps allowed the production of land-use suitability (LUS) map in which discrepancies could be detected as a result. The class "suitable land-use" is the predominant class in the study area. In decreasing order follow: "underused" and "overused" land classes. This information can be used for decision-making, management and monitoring agricultural areas in order to avoid soil sustainability losses. The methodology used here may be improved by changing the image processing techniques for the LU/LC map production as well as by using multitemporal images in order to detect perennial and temporary cultures in the study area
  • 关键词:Remote Sensing; Geographic Information Systems; Land-use suitability; Land-use capability
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