Downscaling on Demand: Examples in Forest Canopy Mapping

Authored by: Dale A. Quattrochi , Elizabeth A. Wentz , Nina Siu-Ngan Lam , Charles W. Emerson , Gordon M. Green , Sean C. Ahearn , Wenge Ni-Meister

Integrating Scale in Remote Sensing and GIS

Print publication date:  January  2017
Online publication date:  January  2017

Print ISBN: 9781482218268
eBook ISBN: 9781315373720
Adobe ISBN:

10.1201/9781315373720-9

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Abstract

Distributed processes dominate the computational landscape, from cloud computing to mobile apps, and on-demand access to spatial data has become routine. Web mapping services allow users to efficiently view large data sets by accessing small subsets on demand, and dynamic services are a part of familiar applications like route navigation, weather forecasting, and traffic monitoring. Most products based on remotely sensed data are published in static form, but on-demand processing offers some promising new possibilities, particularly related to problems of scale. In this chapter, we explore some of the potential of on-demand processing, using downscaling of forest canopy structure as an example.

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