Titlebook: Remote Sensing of Forest Environments; Concepts and Case St Michael A. Wulder,Steven E. Franklin Book 2003 Springer Science+Business Media

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Rationale and Conceptual Framework for Classification Approaches to Assess Forest Resources and Propd that multispectral digital images are composed of multivariate measurement vectors for each and every pixel. The hundreds of thousands of such vectors typically making up an image could be treated as class descriptors, and the spectral bands as explanatory variables related to categories of intere

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Remote Sensing of Forests Over Timeing to environmental conditions; physical appearance such as colour and size may change due to phenology or human disturbance. At the stand level, the structure of forest canopies may change in terms of horizontal measures of canopy closure and gap size and shape and vertical measures of number of l

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Regional Forest Land Cover Characterisation using Medium Spatial Resolution Satellite Dataor management decision-making and for scientific analysis. While such information can be derived using coarse spatial resolution satellite data (e.g. .; .; .; Cihlar et al., Chapter 12), many regional applications require more spatial and thematic details than can be derived by using coarse resoluti

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Modeling Forest Productivity Using Data Acquired Through Remote Sensingentory surveys supplemented with aerial stereo-photography. The development of physiologically-based process models, which predict forest growth based on underlying physiological processes, and digital remote sensing in combination improve our ability to interpret and to predict forest growth patter