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Land Use and Land Cover Mapping and Monitoring with Radar Remote Sensing

  • Zhixin Qi
  • , Anthony Gar On Yeh
  • , Xia Li
  • , Qianwen Lv

科研成果: 书/报告/会议事项章节章节同行评审

摘要

Remote sensing technology has been employed extensively in LULC investigation because of its capability to observe land surface consistently and repetitively and its advantages of cost and time savings for large areas. A LULC classification scheme has been developed for use with remote sensing data (Anderson et al., 1976). The main characteristics of this scheme are its emphasis on resources rather than people and its capability to provide different levels of classification according to the scale and spatial resolution of the images. The development of such a classification scheme has facilitated the mapping, modeling, and measurement of many LULC applications. The scheme includes four classification levels in accordance with the image scale (Table 22.1). However, the general relationship between the classification level and the data source is not intended to restrict uses to particular scales, either in the original data source or in the final map product. For example, Level I LULC information could be not only gathered by a LANDSAT type of satellite or high-altitude imagery, but also interpreted from conventional large-scale aircraft imagery or compiled by ground survey. Similarly, several Level II and III categories have been interpreted from LANDSAT data. The classification scheme for the first and second levels have been presented by Anderson et al. (1976) (Table 22.2). Levels beyond these two must be designed by users according to their needs.

源语言英语
主期刊名Remote Sensing Handbook, Volume IV (Six Volume Set)
主期刊副标题Forests, Biodiversity, Ecology, LULC, and Carbon, Second Edition
出版商CRC Press
343-391
页数49
6
ISBN(电子版)9781040196441
ISBN(印刷版)9781032891033
DOI
出版状态已出版 - 1 1月 2024
已对外发布

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 15 - 陆地生物
    可持续发展目标 15 陆地生物

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