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      The Challenges of Remote Monitoring of Wetlands

      Remote Sensing
      MDPI AG

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          Sources of variability in canopy reflectance and the convergent properties of plants.

          How plants interact with sunlight is central to the existence of life and provides a window to the functioning of ecosystems. Although the basic properties of leaf spectra have been known for decades, interpreting canopy-level spectra is more challenging because leaf-level effects are complicated by a host of stem- and canopy-level traits. Progress has been made through empirical analyses and models, although both methods have been hampered by a series of persistent challenges. Here, I review current understanding of plant spectral properties with respect to sources of uncertainty at leaf to canopy scales. I also discuss the role of evolutionary convergence in plant functioning and the difficulty of identifying individual properties among a suite of interrelated traits. A pattern that emerges suggests a synergy among the scattering effects of leaf-, stem- and canopy-level traits that becomes most apparent in the near-infrared (NIR) region. This explains the widespread and well-known importance of the NIR region in vegetation remote sensing, but presents an interesting paradox that has yet to be fully explored: that we can often gain more insight about the functioning of plants by examining wavelengths that are not used in photosynthesis than by examining those that are. © 2010 The Author. New Phytologist © 2010 New Phytologist Trust.
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            Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review

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              Remote Sensing of Mangrove Ecosystems: A Review

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                Author and article information

                Journal
                Remote Sensing
                Remote Sensing
                MDPI AG
                2072-4292
                August 2015
                August 24 2015
                : 7
                : 8
                : 10938-10950
                Article
                10.3390/rs70810938
                1aa2f668-8c81-4fee-9380-f01489e57fbf
                © 2015

                https://creativecommons.org/licenses/by/4.0/

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