Paper
24 November 1995 Mapping tropical forests: a bottom-up approach
France Gerard, Barry K. Wyatt, Andrew K. Millington, Jane Wellens
Author Affiliations +
Abstract
Attempts to map different tropical forest types on a continental scale had varying success. Remotely sensed reflectance from forest canopies responds not only, or even primarily, to the species composition, but to a large number of factors, including soil type, forest structure, shadows and penology. This paper describes how detailed field data from sites in Bolivia are being used to develop and improve methods of tropical forest mapping from small scale satellite imagery. The paper presents preliminary work towards a novel procedure which characterizes canopy roughness from observations of forest structure and classifies imagery into canopy roughness classes by establishing a link between the shadow pattern information in the imagery and the canopy roughness of the forests. The inversion of the procedure will subsequently provide a means to extract forest structure information from satellite imagery and to generate improved maps of the tropical forest zone.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
France Gerard, Barry K. Wyatt, Andrew K. Millington, and Jane Wellens "Mapping tropical forests: a bottom-up approach", Proc. SPIE 2585, Remote Sensing for Agriculture, Forestry, and Natural Resources, (24 November 1995); https://doi.org/10.1117/12.227195
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KEYWORDS
Data modeling

Sensors

Satellites

Optical character recognition

Satellite imaging

Earth observing sensors

Associative arrays

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