Hyperspectral remote sensing of tropical and sub-tropical forests
Our main motivation for this book is to illustrate the potential for hyperspectral remote sensing to provide tools and information to infer and assess ecosystem characteristics at various spatial and temporal scales in the tropics and subtropics. The greater sensitivity and finer spectral resolution provided by these data offer unprecedented opportunities to study in detail even the most remote and inaccessible areas. These data also provide a means for retrospective or ongoing assessments. Examples from the chapters cover a range of ecosystem types, including mangroves, wooded savannas, rain forests, and dry forests, thus providing a nearly global perspective with study sites in Central and South America, Africa, Australia, and Hawaii. In the broad field of remote sensing from the Earth and planetary sciences, hyperspectral sensors and data are a relatively new and untapped data source. Most frequently they have been applied in other environments for forestry, agricultural, mineral exploration, and geologic applications; in the tropics, however, they are still under-used. The diversity of tropical and subtropicalecosystems, while providing a complex and unique set of challenges to the use of hyperspectral data, also offers an ideal environment to develop, test, and apply new techniques. It is precisely the complex and dynamic nature of these ecosystems that makes them such interesting and exciting areas for research with hyperspectral data.
| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | spa |
| Published: |
Boca Raton, Florida CRC Press Taylor and Francis Group
c200
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| Subjects: | Sensores remotos, imágenes hiperespectrales, Procesamiento de imágenes, Bosques tropicales, |
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