Sensitivity of Estimated Total Canopy SIF Emission to Remotely Sensed LAI and BRDF Products

<div class="floats-full-page floats-full-page-figure"><h2>Figure 7</h2><div class="floats-full-page-caption"><div>Statistics of uncertainties (%) in LAI (first row) and <svg height="11.927pt" id="M135" style="vertical-align:-3.291101pt" version="1.1" viewbox="-0.0498162 -8.6359 8.54313 11.927" width="8.54313pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M244 607C244 633 228 655 200 655C166 655 146 618 146 594C146 564 166 546 191 546C221 546 244 574 244 607ZM222 91L209 114C184 94 148 66 133 66C127 66 124 73 130 96L201 370C213 416 211 448 191 448C162 448 88 407 29 352L42 328C73 354 104 371 114 371C120 371 119 365 115 345L53 92C32 5 45 -12 68 -12C103 -12 186 50 222 91Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,3.484,3.132)"><path d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"></path></g></svg> (second row) from three LAI products: MCD15 (first column), VNP15 (second column), and CGLS (third column). For comparison purpose, uncertainties in LAI and <svg height="11.927pt" id="M136" style="vertical-align:-3.291101pt" version="1.1" viewbox="-0.0498162 -8.6359 8.54313 11.927" width="8.54313pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M244 607C244 633 228 655 200 655C166 655 146 618 146 594C146 564 166 546 191 546C221 546 244 574 244 607ZM222 91L209 114C184 94 148 66 133 66C127 66 124 73 130 96L201 370C213 416 211 448 191 448C162 448 88 407 29 352L42 328C73 354 104 371 114 371C120 371 119 365 115 345L53 92C32 5 45 -12 68 -12C103 -12 186 50 222 91Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,3.484,3.132)"><path d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"></path></g></svg> were normalized by LAI and <span class="nowrap"><svg height="11.927pt" id="M137" style="vertical-align:-3.291101pt" version="1.1" viewbox="-0.0498162 -8.6359 8.54313 11.927" width="8.54313pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M244 607C244 633 228 655 200 655C166 655 146 618 146 594C146 564 166 546 191 546C221 546 244 574 244 607ZM222 91L209 114C184 94 148 66 133 66C127 66 124 73 130 96L201 370C213 416 211 448 191 448C162 448 88 407 29 352L42 328C73 354 104 371 114 371C120 371 119 365 115 345L53 92C32 5 45 -12 68 -12C103 -12 186 50 222 91Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,3.484,3.132)"><path d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"></path></g></svg>,</span> respectively, and shown in percentage (%).</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-2021/9795837/figures/9795837.fig.007.svgz" name="9795837.fig.007" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 7 | Sensitivity of Estimated Total Canopy SIF Emission to Remotely Sensed LAI and BRDF Products

title

Figure 7: Sensitivity of Estimated Total Canopy SIF Emission to Remotely Sensed LAI and BRDF Products

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Figure 7

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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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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.