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/lp/springer-journals/a-changing-world-modern-remote-sensing-for-environmental-monitoring-of-DS7iqnFCNp
- Publisher
- Springer Netherlands
- Copyright
- © Springer Science+Business Media B.V. 2007
- ISBN
- 978-1-4020-4434-2
- Pages
- 65 –91
- DOI
- 10.1007/978-1-4020-4436-6_6
- Publisher site
- See Chapter on Publisher Site
Abstract
Contemporary and emerging remote sensing technologies, combined with biophysical first principles and modern spatial statistics allow for novel landscapes analyses at a range of spatial and temporal scales. In the past, supervised or un-supervised classification methods and the development of indices of landscape degradation and other derived products based on multi-spectral imagery of various resolutions has become a standard. Biophysical indices, such as leaf area index, fraction of photosynthetically-active radia- tion, phytomass or canopy chemistry, can be derived from the spectral properties of satellite imagery. Indices of changes in landscape composition and structure can be measured from the thematic maps origi- nating from remotely-sensed imagery. Additionally, 30-year or longer time series of historical remote sens- ing archives (Landsat, AVHRR) allow retrospective studies of the historical range of variability and the trajectories of both landscape elements and biophysical properties. A trade-off exists between high spatial and high temporal resolution when comparing platforms. Development of new, improved sensors and analysis techniques, such as sub-pixel classifications resulting in the development of continuous fields for formerly discrete classes, has reduced this trade-off. High spec- tral resolution and multiple view angles even enhance the potential for accurate retrieval of variables such as Albedo and
Published: Jan 1, 2007
Keywords: Land Cover; Normalize Difference Vegetation Index; Remote Sensing; Geographical Information System; Vegetation Index