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

This dataset contains the data, documentation, and scripts that compose the SPATIAL SCALING CHALLENGE organized in the framework of the SENSECO COST Action CA17143 “Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits” (https://www.senseco.eu/), by the Working Group 1. “Closing the scaling gap: from leaf measurements to satellite images” (https://www.senseco.eu/working-groups/wg1-scaling-gap/). The SPATIAL SCALING CHALLENGE is an open exercise where we challenge the remote sensing community to retrieve relevant vegetation biophysical and physiological variables such as leaf chlorophyll content (Cab), leaf area index (LAI), maximal carboxylation rate (Vcmax,25), and non-photochemical quenching (NPQ) from simulated (hyperspectral reflectance (HDRF), sun-induced chlorophyll fluorescence (F) and land surface temperature (LST)) imagery. 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. IMPORTANT: Additional data that can be used at the discretion of the participants have been released in https://doi.org/10.5281/zenodo.6530187 The SPATIAL SCALING CHALLENGE aims at gathering the community’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. STILL OPEN FOR PARTICIPATION! New deadline 31st of October 2022. Follow all the communications and updates of the SPATIAL SCALING CHALLENGE in the RG site: https://www.researchgate.net/project/Spatial-Scaling-Challenge-COST-Action-CA17134-SENSECO-Working-Group-1.

本数据集包含构成空间尺度挑战赛（SPATIAL SCALING CHALLENGE）的配套数据、文档与脚本。该赛事由SENSECO欧洲COST行动CA17143“面向可扩展生态生理性状时空传感的光学协同效应”（https://www.senseco.eu/）下属第一工作组“填补尺度鸿沟：从叶片测量到卫星影像”（https://www.senseco.eu/working-groups/wg1-scaling-gap/）组织举办。

空间尺度挑战赛是一项开放性赛事，旨在挑战遥感领域研究者从模拟的高光谱反射率（hyperspectral reflectance, HDRF）、太阳诱导叶绿素荧光（sun-induced chlorophyll fluorescence, F）与陆地表面温度（land surface temperature, LST）影像中，反演具有研究价值的植被生物物理与生理参数，包括叶片叶绿素含量（leaf chlorophyll content, Cab）、叶面积指数（leaf area index, LAI）、最大羧化速率（maximal carboxylation rate, Vcmax,25）以及非光化学淬灭（non-photochemical quenching, NPQ）。

本数据集包含模拟遥感数据与野外实测数据、数据说明文档，以及Matlab、Python与R语言脚本，便于参与者导入、处理数据并生成赛事要求的标准化参赛成果。

【重要提示】参与者可自行选用的额外数据集已发布于https://doi.org/10.5281/zenodo.6530187。

本挑战赛旨在汇聚遥感领域的专业知识与技术积累，解决不同性质变量带来的尺度转换难题。相关实践经验将被整理为一篇期刊论文，诚邀所有参与者投稿参与该论文的撰写。本赛事面向全球开放，欢迎植被生态生理遥感领域的博士生、青年科研人员与资深研究者、初创企业及相关公司报名参赛。

赛事仍在招募参与者！新截止日期为2022年10月31日。如需获取本挑战赛的所有通知与更新，请访问其ResearchGate项目页面：https://www.researchgate.net/project/Spatial-Scaling-Challenge-COST-Action-CA17134-SENSECO-Working-Group-1。