LEAF: Logger for ecological and atmospheric factors

Ashley M. Matheny, Peter Marchetto, Je'aime Powell, Austin Rechner, Joon yee Chuah, Erica McCormick, Suzanne A. Pierce

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The fields of meteorology, surface- and groundwater hydrology, and forestry are often decoupled despite the fact that they occur simultaneously at the intersection of living systems and the physical environment. In this work, we describe a system that allows concurrent measurement of canopy throughfall, transpiration, air temperature, pressure, and humidity at multiple heights, in addition to soil moisture and several surface water parameters. LEAF is designed to be generalizable to many other hydrology and meteorology applications, and is modular such that it is easily adaptable for use with additional, diverse environmental monitoring sensors. This low-cost, light-weight, solar-powered system is capable of simultaneous streaming telemetry as well as local data logging via SD card.

Original languageEnglish (US)
Article numbere00079
JournalHardwareX
Volume6
DOIs
StatePublished - Oct 2019

Bibliographical note

Funding Information:
We owe thanks to all of the participants of the 2018 NSF IS-GEO RCN sensing workshop who worked with us to bring this project to fruition, along with the students of the Matheny lab and our excellent arborists without whom the second deployment in Austin, TX wouldn't have happened. We'd also like to thank the National Science Foundation EarthCube RCN IS-GEO RCN (award no. 1632211), the MNDRIVE RSAM initiative at the University of Minnesota, and the Planet Texas 2050 initiative at the University of Texas at Austin for their parts in funding the materials and travel expenses for this project.

Funding Information:
We owe thanks to all of the participants of the 2018 NSF IS-GEO RCN sensing workshop who worked with us to bring this project to fruition, along with the students of the Matheny lab and our excellent arborists without whom the second deployment in Austin, TX wouldn’t have happened. We’d also like to thank the National Science Foundation EarthCube RCN IS-GEO RCN (award no. 1632211), the MNDRIVE RSAM initiative at the University of Minnesota, and the Planet Texas 2050 initiative at the University of Texas at Austin for their parts in funding the materials and travel expenses for this project.

Publisher Copyright:
© 2019

Keywords

  • Arboreal system
  • IoT
  • Microclimate
  • Microcontroller
  • Micrometeorology
  • Particle electron
  • Precipitation
  • Rain gauge
  • Sap flux
  • Sensing systems
  • Sensors
  • Surface hydrology
  • Throughfall
  • Transpiration

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