首页    期刊浏览 2024年07月01日 星期一
登录注册

文章基本信息

  • 标题:Mapping of Agricultural Activities Using Multi Temporal ASAR ENVISAT data
  • 本地全文:下载
  • 作者:S.M. Tavakkoli Sabour ; P. Lohmann ; U. Soergel
  • 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:2007
  • 卷号:XXXVI-1/W51
  • 出版社:Copernicus Publications
  • 摘要:Space borne radar data facilitates continuous monitoring of almost any location on the earth (limitations in polar zones) at quite low costs. Almost weather-independent operat ion of radar systems enables a reliable and continuous record of data from earth's surface. In the framework of an ESA pilot project (AO335), ENVISAT polarimetric SAR data of year 2004 are examined for their usefulness in environmental monitoring within a drinking water protection area, north east of the city Hanover in Germany. This is done by using ENVISAT ASAR images together with GIS information like topographic maps, orthophotos and also ground surveys. Because of only 2 polarisations of ASAR, with a coherent response of different vegetation types and the high variance of pixel values , the results from classification approaches using monotemporal images are unsatisfactory. Our experiments and the experience of other authors as well as the knowledge about crop phenology led to a multi-temporal classification approach improving the classical methods. In multi-temporal classification, images from different dates, which cover the phenological period of desired crops, are treated as bands of a multi-temporal image. The feas ibility and accuracy of this multi- temporal approach is evaluated using a pixel based approach. The benefit of some pixel based classification rules, the influence of some speckle filters on overall accuracy and the importance of adaptation to phenological period of crops are tested for this approach
  • 关键词:ASAR; Classification; Multi-Temporal; Land-use; Monitoring
国家哲学社会科学文献中心版权所有