Articles | Volume 13, issue 16
https://doi.org/10.5194/bg-13-4673-2016
https://doi.org/10.5194/bg-13-4673-2016
Research article
 | 
22 Aug 2016
Research article |  | 22 Aug 2016

A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures

Rebecca N. Handcock, D. L. Gobbett, Luciano A. González, Greg J. Bishop-Hurley, and Sharon L. McGavin

Related subject area

Biogeophysics: Environmental Optics
Assessment of carbon mass in a Mediterranean downy oak ecosystem using airborne lidar and NASA Global Ecosystem Dynamics Investigation (GEDI) data
Maëlie Chazette, Patrick Chazette, Ilja M. Reiter, Xiaoxia Shang, Julien Totems, Jean-Philippe Orts, Irène Xueref-Remy, and Nicolas Montes
Biogeosciences, 21, 3289–3303, https://doi.org/10.5194/bg-21-3289-2024,https://doi.org/10.5194/bg-21-3289-2024, 2024
Short summary
Unveiling spatial and temporal heterogeneity of a tropical forest canopy using high-resolution NIRv, FCVI, and NIRvrad from UAS observations
Trina Merrick, Stephanie Pau, Matteo Detto, Eben N. Broadbent, Stephanie A. Bohlman, Christopher J. Still, and Angelica M. Almeyda Zambrano
Biogeosciences, 18, 6077–6091, https://doi.org/10.5194/bg-18-6077-2021,https://doi.org/10.5194/bg-18-6077-2021, 2021
Short summary
Assessing shaded-leaf effects on photochemical reflectance index (PRI) for water stress detection in winter wheat
Xin Yang, Shishi Liu, Yinuo Liu, Xifeng Ren, and Hang Su
Biogeosciences, 16, 2937–2947, https://doi.org/10.5194/bg-16-2937-2019,https://doi.org/10.5194/bg-16-2937-2019, 2019
Short summary
On estimating the gross primary productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance
Sofia Cerasoli, Manuel Campagnolo, Joana Faria, Carla Nogueira, and Maria da Conceição Caldeira
Biogeosciences, 15, 5455–5471, https://doi.org/10.5194/bg-15-5455-2018,https://doi.org/10.5194/bg-15-5455-2018, 2018
Short summary
Spring blooms in the Baltic Sea have weakened but lengthened from 2000 to 2014
Philipp M. M. Groetsch, Stefan G. H. Simis, Marieke A. Eleveld, and Steef W. M. Peters
Biogeosciences, 13, 4959–4973, https://doi.org/10.5194/bg-13-4959-2016,https://doi.org/10.5194/bg-13-4959-2016, 2016
Short summary

Cited articles

Allen, M. F., Vargas, R., Graham, E. A., Swenson, W., Hamilton, M., Taggart, M., Harmon, T. C., Rat'Ko, A., Rundel, P., Fulkerson, B., and Estrin, D.: Soil Sensor Technology: Life within a Pixel, BioScience, 57, 859–867, https://doi.org/10.1641/B571008, 2007.
Asner, G. P.: Biophysical and biochemical sources of variability in canopy reflectance, Remote Sens. Environ., 64, 234–253, 1998.
Baldridge, A. M., Hook, S. J., Grove, C. I., and Rivera, G.: The ASTER spectral library version 2.0, Remote Sens. Environ., 113, 711–715, https://doi.org/10.1016/j.rse.2008.11.007, 2009.
Basu, S. and Meckesheimer, M.: Automatic outlier detection for time series: An application to sensor data, Knowl. Inf. Syst., 11, 137–154, 2007.
Download
Short summary
Proximal sensors can assist in managing feed in livestock production systems but raw data needs calibration to biophysical values such as biomass and ground cover. Our pilot project monitored tropical pastures for 18 months using digital cameras, multispectral sensors, soil moisture sensors, and field observations. We developed stringent data cleaning rules that are applicable to other sensor projects. Proximal sensors were found to deliver continual and timely pasture data.
Altmetrics
Final-revised paper
Preprint