Quantitative Evaluation of Leaf Inclination Angle Distribution on Leaf Area Index Retrieval of Coniferous Canopies

<div class="floats-full-page floats-full-page-figure"><h2>Figure 4</h2><div class="floats-full-page-caption"><div>(a) Needle samples and (b) the partially enlarged details of automatically extracted needles (white lines) and the reconstructed point clouds.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://d31iiq90dwlpfy.cloudfront.net/articles/remotesensing/volume-2021/2708904/figures/2708904.fig.004.svgz" name="2708904.fig.004" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 4 | Quantitative Evaluation of Leaf Inclination Angle Distribution on Leaf Area Index Retrieval of Coniferous Canopies

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Figure 4: Quantitative Evaluation of Leaf Inclination Angle Distribution on Leaf Area Index Retrieval of Coniferous Canopies

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Figure 4

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<p>The <em>Journal of Remote Sensing</em>, an Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.</p>


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<p>The <em>Journal of Remote Sensing’s</em> editorial board is led by Yirong Wu (Aerospace Information Research Institute, Chinese Academy of Sciences)&nbsp;and is comprised of experts who have made significant and well recognized contributions to the field.</p>


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More special issue details

<p><em>Journal of Remote Sensing</em> is now accepting submissions for its first two special issues:</p>

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<p><a href="https://spj.sciencemag.org/journal-of-remote-sensing-special-issues/GEE">Remote Sensing for Environmental and Societal Changes Using Google Earth Engine</a></p>

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<p><a href="https://spj.sciencemag.org/journal-of-remote-sensing-special-issues/radiation-transfer-modeling/">Radiation Transfer Modeling With Radiation Transfer Model Intercomparison Vegetation Canopies</a></p>


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Journal of Remote Sensing | Science Partner Journal

The Journal of Remote Sensing, an Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.