EGU23-855, updated on 22 Mar 2023
https://doi.org/10.5194/egusphere-egu23-855
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Field validation and measurement of vegetation spectral indices using low cost microcontroller-based NDVI sensor in the Philippines and Southern Benin

Rinan Bayot1, Reena Macagga2, Pearl Sanchez1, Leonce Geoffroy Sossa3,4, and Mathias Hoffmann2
Rinan Bayot et al.
  • 1Agricultural Systems Institute, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031 College Laguna, Philippines
  • 2Leibniz Center for Agricultural Landscape Research (ZALF), Isotope Biogeochemistry and Gas Fluxes, Eberswalder Str. 84, 15374 Müncheberg, Germany
  • 3Université des Sciences, des Techniques et des Technologies de Bamako (USTTB), BP E 423, Bamako, Mali
  • 4Laboratoire d'Hydraulique et de Maitrise de l'Eau (LHME), Université d’Abomey-Calavi, 01 BP 526,Abomey-Calavi , Benin

How to cite: Bayot, R., Macagga, R., Sanchez, P., Sossa, L. G., and Hoffmann, M.: Field validation and measurement of vegetation spectral indices using low cost microcontroller-based NDVI sensor in the Philippines and Southern Benin, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-855, https://doi.org/10.5194/egusphere-egu23-855, 2023.

This abstract has been withdrawn on 22 Apr 2023.