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南方科技大学公共卫生及应急管理学院2025级博士研究生招生报考通知

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[资源] 【分享】电子书Remote Sensing for Sustainable Forest Management

Applications of remote sensing to sustainable forest management are presented in
four categories that include classification of forest covertype, estimation of forest
structure, forest change detection, and forest modeling.Any categorization of the many remote sensing applications into a small number
of categories is constrained by the need to put a limit on the type of application
included in the category. The use of remote sensing to estimate some of the more
common forest inventory variables — height, age, crown closure — is reviewed
before considering other forest information that has potential to be provided by
remote sensing technology. The use of the term remote sensing began as a way of describing
some of the new imagery and analysis techniques acquired alongside aerial photography
during the height of the Cold War.
Remote sensing has always been a fascinating technology to produce pretty
pictures with a computer, and to many spatial analysts around the world this capability
will continue to be important. The public interest has grown enormously; it
is reasonably common today to see a satellite image illustrating a magazine or
newspaper article, to see remote sensing imagery in films and television, without
much particular explanation.

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