eprintid: 11483
rev_number: 6
eprint_status: archive
userid: 3170
dir: disk0/00/01/14/83
datestamp: 2020-04-10 11:42:22
lastmod: 2020-04-10 11:42:22
status_changed: 2020-04-10 11:42:22
type: article
metadata_visibility: show
creators_name: Akuraju, V R
creators_name: Ryu, D
creators_name: Western, A W
creators_name: Ian Young, R
icrisatcreators_name: Akuraju, V R
affiliation: Department of Insfrastructure Engineering, The university of melbourne, parkville, victoria, australia
affiliation: ICRISAT (Patancheru)
country: Australia
country: India
title: Towards estimating root‐zone soil moisture using surface multispectral and thermal sensing: A spectral and hydrometeorological dataset from the Dookie experiment site, Victoria, Australia
ispublished: pub
subjects: s2.11
divisions: CRPS2
full_text_status: restricted
keywords: Soil Science
abstract: 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.
date: 2019-04
date_type: published
publication: Hydrological Processes (TSI)
volume: 33
number: 14
publisher: Wiley
pagerange: 2037-2043
id_number: doi:10.1002/hyp.13459
refereed: TRUE
issn: 0885-6087
official_url: https://doi.org/10.1002/hyp.13459
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.1002%2Fhyp.13459&btnG=
related_url_type: pub
citation:   Akuraju, V R and Ryu, D and Western, A W and Ian Young, R  (2019) Towards estimating root‐zone soil moisture using surface multispectral and thermal sensing: A spectral and hydrometeorological dataset from the Dookie experiment site, Victoria, Australia.  Hydrological Processes (TSI), 33 (14).  pp. 2037-2043.  ISSN 0885-6087     
document_url: http://oar.icrisat.org/11483/1/HYP_AKURAJU_16447463.pdf