Annual Maps of Forests in Australia from Analyses of Microwave and Optical Images with FAO Forest Definition

<div class="floats-full-page floats-full-page-figure"><h2>Figure 10</h2><div class="floats-full-page-caption"><div>Histograms of forest pixels across ICESat canopy coverage distribution for the five forest maps. (a) Numbers of forest pixels for different canopy cover intervals. (b) Percentage of forest area for different canopy cover intervals. (c) Accumulated percentage of forest pixels for different canopy coverage intervals.</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-2021/9784657/figures/9784657.fig.0010.svgz" name="9784657.fig.0010" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 10 | Annual Maps of Forests in Australia from Analyses of Microwave and Optical Images with FAO Forest Definition

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Figure 10: Annual Maps of Forests in Australia from Analyses of Microwave and Optical Images with FAO Forest Definition

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Figure 10

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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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<p>Accepting submissions for 5 special issues! Visit our Special Issues page to learn more about these issues, which focus on <a href="https://spj.sciencemag.org/journal-of-remote-sensing-special-issues/gee/">Google Earth Engine</a>, <a href="https://spj.sciencemag.org/journal-of-remote-sensing-special-issues/radiation-transfer-modeling/">radiation transfer model intercomparison vegetation canopies</a>, <a href="https://spj.sciencemag.org/journal-of-remote-sensing-special-issues/deep-learning/">deep learning meets remote sensing</a>, <a href="https://spj.sciencemag.org/journal-of-remote-sensing-special-issues/time-series/">time series analysis</a>, and <a href="https://spj.sciencemag.org/journal-of-remote-sensing-special-issues/contemporary-satellites/" title="Link to contemporary satellites special issue">China's contemporary satellites</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.