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 2</h2><div class="floats-full-page-caption"><div>Spatial distribution of Google Earth image, PALSAR image, and the maximum Normalized Difference Vegetation Index (NDVImax) in Australia. (a) Google Earth image. (b) PALSAR false-color composite (red: HH, green: HV, and blue: HH-HV) in 2010. (c) The NDVImax image in 2010.</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.002.svgz" name="9784657.fig.002" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 2 | Annual Maps of Forests in Australia from Analyses of Microwave and Optical Images with FAO Forest Definition

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Figure 2: Annual Maps of Forests in Australia from Analyses of Microwave and Optical Images with FAO Forest Definition

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Figure 2

About this journal

<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.