Towards estimating root‐zone soil moisture using surface multispectral and thermal sensing: A spectral and hydrometeorological dataset from the Dookie experiment site, Victoria, Australia

This paper describes surface hydrometeorological and spectral datasets collected from two tower sites located in the University of Melbourne's Dookie experimental farm, Victoria, Australia. The datasets were collected from different vegetation types including wheat, canola, and grazed pasture d...

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Bibliographic Details
Published in:Hydrological processes 2019-07, Vol.33 (14), p.2037-2043
Main Authors: Akuraju, Venkata Radha, Ryu, Dongryeol, Western, Andrew William, Ian Young, Rodger
Format: Article
Language:English
Subjects:
Air temperature
Datasets
Enthalpy
Experimental farms
Heat flux
Heat flux measurements
Heat transfer
Hydrometeorology
Pasture
Radiation
Radiation data
Relative humidity
Sensible heat
Sensible heat flux
Sensible heat transfer
Short wave radiation
Soil
Soil layers
Soil moisture
Soils
Wheat
Wind direction
Wind speed
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Summary:This paper describes surface hydrometeorological and spectral datasets collected from two tower sites located in the University of Melbourne's Dookie experimental farm, Victoria, Australia. The datasets were collected from different vegetation types including wheat, canola, and grazed pasture during the 2012, 2013, and 2014 cropping seasons. The dataset includes 30‐min frequency latent and sensible heat flux measurements and layer‐average soil moisture data at profile depths of 0–5, 0–30, 30–60, 60–90, and 90–120 cm. Air temperature, wind speed, wind direction, relative humidity, precipitation, and incoming and outgoing longwave and shortwave radiation data were also collected from two locations in the study area. The dataset described in this paper is available online.
ISSN:0885-6087
1099-1085
DOI:10.1002/hyp.13459