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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生氣地

Remote Sensing of Forests Over Timeayers of understorey, height of each storey, etc. At the watershed level, forest ecosystem change can be evaluated by different landscape measurements such as fragmentation indices, matrix and corridor structure and system complexity. Changes at even larger scales are usually caused by human-induced environmental changes and climate changes.

Nonflammable

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Indirect Measurement of Forest Canopy Structure from , Optical Sensorsibing the relevant elements of the canopy structure, (ii) providing background information on the theory and practice of . measurements of canopy structure, together with their limitations, and (iii) suggesting strategies for generalising ground measurements into spatially extended estimations.

游行

過渡時期

Per-Pixel Analysis of Forest Structureing the development and use of per-pixel analytical techniques. The polarization domain is not covered in this Chapter. Some studies indicate the potential importance of polarization for estimating properties of plant foliage and canopies (e.g., .), and those were reviewed by ..

平淡而無味

Modeling Forest Productivity Using Data Acquired Through Remote Sensingd through remote sensing have served to initialize, update, and validate models. From these studies we document improvements in our ability to assess, project, and track present and future forest growth patterns in changing environments across landscapes.

GRAVE

National Scale Forest Information Extraction from Coarse Resolution Satellite Data, Part 1mapping at the national level. An accompanying Chapter (13) describes the use of the processed data sets to derive information on biophysical parameters, land cover change, and carbon uptake. The discussion draws heavily on our work in Canada but the findings are applicable to similar geographic and ecoclimatic conditions elsewhere.

夸張

Experiences in Field Data Collectionons, must be addressed, for example, what constitutes an appropriate data collection approach for the purposes of forest cover classification? What is the relative importance of canopy understorey information? How can direct ground observations be linked to observations from remote sensing platforms?

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