Tower-based remote sensing data for mixed-species boreal forest spring transition 2019 and 2020

Data includes remote sensing products from PhotoSpec for the 2019 and 2020 spring transition seasons as described in: Pierrat, Z., Nehemy, M. F., Roy, A., Magney, T., Parazoo, C., Laroque, C., Pappas, C., Sonnentag, O., Bowling, D. R., Seibt, U., Ramirez, A., Helgason, W., Barr, A., & Stutz, J. (2021). Tower-based remote sensing reveals mechanisms behind a two-phased spring transition in a mixed-species boreal forest. Journal of Geophysical Research: Biogeosciences. We provide daily averaged solar-induced chlorophyll fluorescence (SIF) in the red (680-686 nm) and far-red (745-758 nm) wavelength ranges, relative SIF (SIF/Intensity), chlorophyll-carotenoid index (CCI), photochemical reflectance index (PRI), near-infrared vegetation index (NIRv), normalized difference vegetation index (NDVI) for both black spruce (Picea mariana) and larch (Larix laricina) targets. We also provide the standard deviation of the diurnal variability of all measured products. Data were collected for the spring transition in both 2019 and 2020 using PhotoSpec. Additional measurement details can be found in the aforementioned citation.本数据集包含PhotoSpec在2019年与2020年春季过渡期获取的遥感产品，相关研究背景详见下述文献：Pierrat, Z.、Nehemy, M. F.、Roy, A.、Magney, T.、Parazoo, C.、Laroque, C.、Pappas, C.、Sonnentag, O.、Bowling, D. R.、Seibt, U.、Ramirez, A.、Helgason, W.、Barr, A. 与Stutz, J.（2021）发表于《地球物理学研究杂志：生物地球科学》（Journal of Geophysical Research: Biogeosciences）的论文《基于塔架遥感揭示混交寒带林两阶段春季过渡期的调控机制》。本数据集为黑云杉（Picea mariana）与落叶松（Larix laricina）两种目标植被提供了日平均的红光波段（680~686 nm）与远红光波段（745~758 nm）太阳诱导叶绿素荧光（solar-induced chlorophyll fluorescence, SIF）、相对太阳诱导叶绿素荧光（SIF/Intensity）、叶绿素-类胡萝卜素指数（chlorophyll-carotenoid index, CCI）、光化学反射指数（photochemical reflectance index, PRI）、近红外植被指数（near-infrared vegetation index, NIRv）以及归一化差异植被指数（normalized difference vegetation index, NDVI）。同时，本数据集还提供了所有测量产品的日变化标准差。本数据集的遥感数据均通过PhotoSpec采集自2019年与2020年的春季过渡期，更多测量细节可参见上述引用文献。