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- W4242007974 abstract "Abstract Risk assessment requires information on exposure, sensitivity, condition, and resiliency of entities under investigation. In environmental contexts, this typically requires geographically specific information that can often be obtained most quickly and at least cost through remote sensing in conjunction with geographic information systems (GISs). We introduce and illustrate major aspects of remote sensing using forest fires as an example context. Signal selection is considered for the electromagnetic spectrum, along with formulation of pseudosignals as environmental indicators. Conventional classification sets the stage for modeling of spatial interaction among signals as polypatterns. Detection of landscape changes is considered in both conventional and image modeling modes. Need for partnership between remote sensing analyst and risk analyst is underscored." @default.
- W4242007974 created "2022-05-12" @default.
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- W4242007974 date "2008-07-15" @default.
- W4242007974 modified "2023-10-18" @default.
- W4242007974 title "Remote Sensing" @default.
- W4242007974 cites W2503447338 @default.
- W4242007974 doi "https://doi.org/10.1002/9780470061596.risk0318" @default.
- W4242007974 hasPublicationYear "2008" @default.
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