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APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION

ZHANG Bao-guang

ZHANG Bao-guang. APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION[J]. 中国地理科学, 2003, 13(3): 267-271.
引用本文: ZHANG Bao-guang. APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION[J]. 中国地理科学, 2003, 13(3): 267-271.
ZHANG Bao-guang. APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION[J]. Chinese Geographical Science, 2003, 13(3): 267-271.
Citation: ZHANG Bao-guang. APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION[J]. Chinese Geographical Science, 2003, 13(3): 267-271.

APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION

详细信息
    作者简介:

    ZHANG Bao-guang(1949- ), male, a native of Tianjin, professor, specialized in remote sensing image processing and mathematical statistics

  • 中图分类号: TP751

APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION

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出版历程
  • 收稿日期:  2002-10-31
  • 刊出日期:  2003-09-20

APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION

    作者简介:

    ZHANG Bao-guang(1949- ), male, a native of Tianjin, professor, specialized in remote sensing image processing and mathematical statistics

  • 中图分类号: TP751

摘要: This paper attempts to explore a new avenue of urban small-regional population estimation by remote sensing technology, creatively and comprehensively for the first time using a residence count method, area(density) method and model method, incorporating the application experience of American scholars in the light of the state of our country. Firstly, the author proposes theoretical basis for population estimation by remote sensing, on the basis of analysing and evaluating the history and state quo of application of methods of population estimation by remote sensing. Secondly, two original types of mathematical models of population estimation are developed on the basis of remote sensing data, taking Tianjin City as an example. By both of the mathematical models the regional population may be estimated from remote sensing variable values with high accuracy. The number of the independent variables in the latter model is somewhat smaller and the collection of remote sensing data is somewhat easier, but the deviation is a little larger. Finally, some viewpoints on the principled problems about the practical application of remote sensing to population estimation are put forward.

English Abstract

ZHANG Bao-guang. APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION[J]. 中国地理科学, 2003, 13(3): 267-271.
引用本文: ZHANG Bao-guang. APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION[J]. 中国地理科学, 2003, 13(3): 267-271.
ZHANG Bao-guang. APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION[J]. Chinese Geographical Science, 2003, 13(3): 267-271.
Citation: ZHANG Bao-guang. APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION[J]. Chinese Geographical Science, 2003, 13(3): 267-271.

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