Articles | Volume 11, issue 1
Geosci. Instrum. Method. Data Syst., 11, 93–109, 2022
Geosci. Instrum. Method. Data Syst., 11, 93–109, 2022
Research article
16 Feb 2022
Research article | 16 Feb 2022

Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON)

Olli Nevalainen et al.

Related authors

Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO2 flux and remote sensing data
Maiju Linkosalmi, Juha-Pekka Tuovinen, Olli Nevalainen, Mikko Peltoniemi, Cemal Melih Taniş, Ali Nadir Arslan, Juuso Rainne, Annalea Lohila, Tuomas Laurila, and Mika Aurela
Biogeosciences Discuss.,,, 2022
Revised manuscript under review for BG
Short summary
Carbon dioxide fluxes and carbon balance of an agricultural grassland in southern Finland
Laura Heimsch, Annalea Lohila, Juha-Pekka Tuovinen, Henriikka Vekuri, Jussi Heinonsalo, Olli Nevalainen, Mika Korkiakoski, Jari Liski, Tuomas Laurila, and Liisa Kulmala
Biogeosciences, 18, 3467–3483,,, 2021
Short summary
E. Honkavaara, R. Näsi, R. Oliveira, N. Viljanen, J. Suomalainen, E. Khoramshahi, T. Hakala, O. Nevalainen, L. Markelin, M. Vuorinen, V. Kankaanhuhta, P. Lyytikäinen-Saarenmaa, and L. Haataja
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 429–434,,, 2020
E. Honkavaara, T. Hakala, O. Nevalainen, N. Viljanen, T. Rosnell, E. Khoramshahi, R. Näsi, R. Oliveira, and A. Tommaselli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 77–82,,, 2016
Technical Note: Multispectral lidar time series of pine canopy chlorophyll content
T. Hakala, O. Nevalainen, S. Kaasalainen, and R. Mäkipää
Biogeosciences, 12, 1629–1634,,, 2015
Short summary

Related subject area

System design
Development of a new centralized data acquisition system for seismic exploration
Feng Guo, Qisheng Zhang, Qimao Zhang, Wenhao Li, Yueyun Luo, Yuefeng Niu, and Shuaiqing Qiao
Geosci. Instrum. Method. Data Syst., 9, 255–266,,, 2020
Short summary
An autonomous low-power instrument platform for monitoring water and solid discharges in mesoscale rivers
Guillaume Nord, Yoann Michielin, Romain Biron, Michel Esteves, Guilhem Freche, Thomas Geay, Alexandre Hauet, Cédric Legoût, and Bernard Mercier
Geosci. Instrum. Method. Data Syst., 9, 41–67,,, 2020
Short summary
Instrument observation strategy for a new generation of three-axis-stabilized geostationary meteorological satellites from China
Jian Shang, Lei Yang, Pan Huang, Huizhi Yang, Chengbao Liu, Jing Wang, Lei Zhao, Shengxiong Zhou, Xiaodong Chen, and Zhiqing Zhang
Geosci. Instrum. Method. Data Syst., 8, 161–175,,, 2019
Short summary
Near-real-time environmental monitoring and large-volume data collection over slow communication links
Misha B. Krassovski, Glen E. Lyon, Jeffery S. Riggs, and Paul J. Hanson
Geosci. Instrum. Method. Data Syst., 7, 289–295,,, 2018
Short summary
A new device to mount portable energy-dispersive X-ray fluorescence spectrometers (p-ED-XRF) for semi-continuous analyses of split (sediment) cores and solid samples
Philipp Hoelzmann, Torsten Klein, Frank Kutz, and Brigitta Schütt
Geosci. Instrum. Method. Data Syst., 6, 93–101,,, 2017
Short summary

Cited articles

Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55,, 2015. 
Bossio, D. A., Cook-Patton, S. C., Ellis, P. W., Fargione, J., Sanderman, J., Smith, P., Wood, S., Zomer, R. J., von Unger, M., Emmer, I. M., and Griscom, B. W.: The role of soil carbon in natural climate solutions, Nat. Sustain., 3, 391–398,, 2020. 
Brisson, N., Mary, B., Ripoche, D., Jeuffroy, M. H., Ruget, F., Nicoullaud, B., Gate, P., Devienne-Barret, F., Antonioletti, R., Durr, C., Richard, G., Beaudoin, N., Recous, S., Tayot, X., Plenet, D., Cellier, P., Machet, J.-M., Meynard, J. M., and Delécolle, R.: STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn, Agronomie, 18, 311–346,, 1998. 
Buizza, R. and Richardson, D.: 25 years of ensemble forecasting at ECMWF Newsletter, 153, 20–31,, 2017. 
Chang, W., Cheng, J., Allaire, J., Xie, Y., and McPherson, J.: Shiny: web application framework for R, R package version 1.6.0, (last access: 15 February 2022), 2021. 
Short summary
Better monitoring of soil carbon sequestration is needed to understand the best carbon farming practices in different soils and climate conditions. We, the Field Observatory Network (FiON), have therefore established a methodology for monitoring and forecasting agricultural carbon sequestration by combining offline and near-real-time field measurements, weather data, satellite imagery, and modeling. To disseminate our work, we built a website called the Field Observatory (