Spatial Scaling Challenge. COST Action CA17134 SENSECO. Working Group 1

<p>This dataset contains the data, documentation, and scripts that compose the <strong>SPATIAL SCALING CHALLENGE</strong> organized in the framework of the <strong>SENSECO COST Action CA17143</strong> &ldquo;Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits&rdquo; (<a href="https://www.senseco.eu/">https://www.senseco.eu/</a>), by the <strong>Working Group 1</strong><strong>.</strong> &ldquo;Closing the scaling gap: from leaf measurements to satellite images&rdquo; (<a href="https://www.senseco.eu/working-groups/wg1-scaling-gap/">https://www.senseco.eu/working-groups/wg1-scaling-gap/</a>).</p> <p>The <strong>SPATIAL SCALING CHALLENGE</strong> is an open exercise where we challenge the remote sensing community to retrieve relevant vegetation biophysical and physiological variables such as leaf chlorophyll content (<em>C</em>_ab), leaf area index (<em>LAI</em>), maximal carboxylation rate (V_c_max,25), and non-photochemical quenching (<em>NPQ</em>) from simulated (hyperspectral reflectance (<em>HDRF</em>), sun-induced chlorophyll fluorescence (<em>F</em>) and land surface temperature (<em>LST)</em>) imagery.</p> <p>The dataset contains the simulated remote sensing and field data, their description, and scripts in Matlab, Python, and R languages to facilitate importing and handling the data and producing the standardized outputs necessary to participate.</p> <p><strong>IMPORTANT:</strong>&nbsp;<strong>Additional data</strong> that can be used at the discretion of the participants have been released in&nbsp;<strong><a href="https://doi.org/10.5281/zenodo.6530187">https://doi.org/10.5281/zenodo.6530187</a></strong></p> <p>The <strong>SPATIAL SCALING CHALLENGE</strong> aims at gathering the community&rsquo;s expertise and knowledge to tackle the scaling problems posed by variables of different nature. These experiences will be summarized in a journal article where all the participants are invited to contribute. The exercise is internationally open. Ph.D. students, early career and senior researchers, spin-offs, and companies working in the field of remote sensing of vegetation ecophysiology are welcome to participate.</p> <p><strong>STILL OPEN FOR PARTICIPATION! New deadline&nbsp;31^st of October 2022.</strong></p> <p>Follow all the&nbsp;<strong>communications and updates</strong>&nbsp;of the&nbsp;<strong>SPATIAL SCALING CHALLENGE</strong>&nbsp;in the RG site:&nbsp;<strong><a href="https://www.researchgate.net/project/Spatial-Scaling-Challenge-COST-Action-CA17134-SENSECO-Working-Group-1">https://www.researchgate.net/project/Spatial-Scaling-Challenge-COST-Action-CA17134-SENSECO-Working-Group-1</a></strong>.</p> <p>&nbsp;</p>