Advertisement

VegMeasure: Image Processing Software for Grassland Vegetation Monitoring

  • Mounir Louhaichi
  • Sawsan Hassan
  • Douglas E. Johnson
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)

Abstract

Vegetative inventories, whether they are agronomic, ecologic, range, or forestry, often measure plant cover. Vegetation cover is a fundamental parameter in many studies of plant ecology. It is used to measure the surface of the ground exposed to the direct impact of rain drops, sunlight and it is also used to monitor changes in vegetation structure over time. VegMeasure®, an image processing software, was developed to monitor vegetation cover over a period of time, through utilizing green leaf and brightness algorithms as well as K-means classifications. This study demonstrates that digital image processing of vegetation can be fast and affordable, through creating a permanent digital record that can be revisited over time.

Keywords

Image processing Digital camera Central Asia Arid environment Rangelands 

Notes

Acknowledgements

This study was supported by the International Center for Agricultural Research in the Dry Areas (ICARDA), the VegMeasure project and the CGIAR Research Program on Livestock (CRP Livestock).

References

  1. 1.
    Congalton, R.G.: A review of assessing the accuracy of classification of remotely sensed data. Remote Sens. Environ. 37, 35–46 (1991)CrossRefGoogle Scholar
  2. 2.
    Louhaichi, M., Hassan, S., Clifton, K., Johnson, D.E.: A reliable and non-destructive method for estimating forage shrub cover and biomass in arid environments using digital vegetation charting technique. Agrofor. Syst. (2017).  https://doi.org/10.1007/s10457-017-0079-4CrossRefGoogle Scholar
  3. 3.
    Louhaichi, M., Johnson, M.D., Woerz, A.L., Jasra, A.W., Johnson, D.E.: Digital charting technique for monitoring rangeland vegetation cover at local scale. Int. J. Agric. Biol. 12, 406–410 (2010)Google Scholar
  4. 4.
    Royan, M., Sepehry, A., Salman Mahiny, A.: Estimating rangeland vegetation frequency & density using low-altitude aerial photographs. Iran. J. Appl. Ecol. 5(17), 1–10 (2016)CrossRefGoogle Scholar
  5. 5.
    Serrano, J., Sales-Baptista, E., Shahidian, S.Marques, da Silva, J., Ferraz de Oliveira, I., Lopes de Castro, J., Pereira, A., Cancela d’Abreu, M., de Carvalho, M.: Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes. Agrofor. Syst. 1, 1–15 (2018)Google Scholar
  6. 6.
    Tarhouni, M., Ben Salem, F., Tlili, A., Ouled Belgacem, A., Neffati, M., Louhaichi, M.: Measurement of the aboveground biomass of some rangeland species using a digital non-destructive technique. Bot. Lett. 163(3), 281–287 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mounir Louhaichi
    • 1
    • 2
  • Sawsan Hassan
    • 1
  • Douglas E. Johnson
    • 2
  1. 1.International Center for Agricultural Research in the Dry Areas (ICARDA)AmmanJordan
  2. 2.Department of Animal and Rangeland SciencesOregon State UniversityCorvallisUSA

Personalised recommendations