Published October 21, 2020 | Version 1.0
Dataset Open

PhotoSpec solar-induced fluorescence and meteorological data: Corn, Iowa, 2017

  • 1. UC Davis
  • 2. ROR icon California Institute of Technology
  • 3. UCLA
  • 4. University of Heidelberg

Description

Eddy‐covariance (EC) data were collected at long‐term and well‐characterized USDA agricultural flux towers within C4 (corn, Zea mays L.) cropping systems in central Iowa. Specific sites are Coles Field (42.488414°N, −93.522582°W) for the PhotoSpec comparison in 2017. These farming systems are typical for those in the Upper Midwest corn belt (more details in Dold et al., 2017, 2019). Data were excluded under unfavorable weather conditions (e.g., rainfall, low wind turbu- lence, and high humidity) (Baker & Griffis, 2005), screened for outliers (Dold et al., 2017), and gap‐filled. Turbulent CO2 fluxes were computed using the EC method (Burba, 2013), and then net ecosystem exchange was partitioned into GPP and ecosystem respiration (Re). We installed two PhotoSpec instruments in a corn field (Coles Field, 42.48655°N, −93.52641°W) in central Iowa following planting in late May 2017 and measured SIF until harvest in September 2017 (Magney, Frankenberg, et al., 2019). PhotoSpec consists of a 2D scanning telescope to guide reflected radiances into a set of high‐resolution spectrometers (Grossmann et al., 2018) to infer SIF using the solar Fraunhofer line in‐filling technique, similar to all current satellite retrievals. The scanning telescope was placed atop a 7‐m tower, and we calculate a "canopy average" of all viewing angles at a half-hourly time step to match the temporal resolution of flux tower data (following Magney, Frankenberg, et al., 2019). Because the scanning telescope revisits every measuring point within a half-hour, this canopy average is more representative of a hemispherical sensor with a footprint of a few meters around the tower (an average of all viewing directions). Notably, while the escape ratio and angular dependencies are an important consideration for tower‐based SIF measurements (Zeng et al., 2019), this makes little difference in our study for the canopy structure is relatively stable during the peaking growing season. More details on PhotoSpec retrievals and instrument specifications can be found in Grossmann et al. (2018). We also include pictures of the instrument at certain times during the growing season. More details can be found in the following publications: He, L., Magney, T., Dutta, D., Yin, Y., Köhler, P., Grossmann, K., … Frankenberg, C. (2020). From the ground to space: Using solar‐induced chlorophyll fluorescence (SIF) to estimate crop productivity. Geophysical Research Letters, 0–3. https://doi.org/10.1029/2020GL087474 Chang, C. Y., Guanter, L., Frankenberg, C., Köhler, P., Gu, L., Magney, T. S., … Sun, Y. (2020). Systematic assessment of retrieval methods for canopy far‐red solar‐induced chlorophyll fluorescence (SIF) using high‐frequency automated field spectroscopy. Journal of Geophysical Research: Biogeosciences. https://doi.org/10.1029/2019jg005533 Please contact Troy Magney at tmagney@ucdavis.edu if you would like access to higher resolution data.

Files

PhotoSpec3___2017-09-02_23-12-34-0869Z.jpg
Files (80.2 MB)
Name Size
md5:2c503506ecdc9f6b5c27a2fa0361c0a0
534.1 kB Preview Download
md5:8ac3134017cca0fdd3a86d8c8e1a26e2
770.2 kB Preview Download
md5:13b30b9bee7b81d3a771d27d7d83c146
67.5 MB Preview Download
md5:f7766416b7ac7adac71074dd04f5b862
473.7 kB Preview Download
md5:78cdd7156b9a760c2c6810fbc5d13fc5
2.8 MB Preview Download
md5:c474726c56002277d043ad4a522abd6e
527.9 kB Preview Download
md5:5b1da86ab3a134576edda6521c6cea96
643.5 kB Preview Download
md5:d8cbd60a6c3ab6369c97d2d77745d12c
386.7 kB Preview Download
md5:eec8fb234cc8c39ad036ad166c6be70a
605.6 kB Preview Download
md5:67026eaa38a5c28617025adb21092f11
516.7 kB Preview Download
md5:41e75dfcfaaecb278d174ae6cd658e4b
542.7 kB Preview Download
md5:069fb1de995ed2039d466c78482b33a2
472.5 kB Preview Download
md5:8d88b349d1f72acbd9ec6925351ac93c
473.3 kB Preview Download
md5:2a39c3094f31e524b2657d315338d34b
306.6 kB Preview Download
md5:2bf773e3f3467a9916825735f451335e
550.1 kB Preview Download
md5:12371889984834da81a5c4685369cfad
351.7 kB Preview Download
md5:e347d9d00ed677ac4bcf4e53974eb745
493.6 kB Preview Download
md5:eea12f2720f66c0777e8838a0e774c53
552.7 kB Preview Download
md5:a4d694c6c02316b066986bd93ce5ae8b
506.6 kB Preview Download
md5:b2d52a675a6c3c7f986a0501ec15498a
626.8 kB Preview Download
md5:d7a474300a1ea2090b585a2b73c0232f
578.2 kB Preview Download
md5:cea395ed9411f4b1e20160cc532ab5ba
19.9 kB Download

Additional details

Created:
September 8, 2022
Modified:
November 18, 2022