Applying Infrared Thermography to Soil Surface Temperature Monitoring: Case Study of a High-Resolution 48 h Survey in a Vineyard (Anadia, Portugal).

biochar infrared thermography remote sensing soil surface temperature

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
25 Apr 2020
Historique:
received: 27 03 2020
revised: 14 04 2020
accepted: 20 04 2020
entrez: 30 4 2020
pubmed: 30 4 2020
medline: 30 4 2020
Statut: epublish

Résumé

The soil surface albedo decreases with an increasing biochar application rate as a power decay function, but the net impact of biochar application on soil temperature dynamics remains to be clarified. The objective of this study was to assess the potential of infrared thermography (IRT) sensing by monitoring soil surface temperature (SST) with a high spatiotemporal and thermal resolution in a scalable agricultural application. We monitored soil surface temperature (SST) variations over a 48 h period for three treatments in a vineyard: bare soil (plot S), 100% biochar cover (plot B), and biochar-amended topsoil (plot SB). The SST of all plots was monitored at 30 min intervals with a tripod-mounted IR thermal camera. The soil temperature at 10 cm depth in the S and SB plots was monitored continuously with a 5 min resolution probe. Plot B had greater daily SST variations, reached a higher daily temperature peak relative to the other plots, and showed a faster rate of T increase during the day. However, on both days, the SST of plot B dipped below that of the control treatment (plot S) and biochar-amended soil (plot SB) from about 18:00 onward and throughout the night. The diurnal patterns/variations in the IRT-measured SSTs were closely related to those in the soil temperature at a 10 cm depth, confirming that biochar-amended soils showed lower thermal inertia than the unamended soil. The experiment provided interesting insights into SST variations at a local scale. The case study may be further developed using fully automated SST monitoring protocols at a larger scale for a range of environmental and agricultural applications.

Identifiants

pubmed: 32344911
pii: s20092444
doi: 10.3390/s20092444
pmc: PMC7250030
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

William Frodella (W)

Department of Earth Sciences, University of Firenze, Via La Pira 4, 50121 Firenze, Italy.

Giacomo Lazzeri (G)

Department of Earth Sciences, University of Firenze, Via La Pira 4, 50121 Firenze, Italy.

Sandro Moretti (S)

Department of Earth Sciences, University of Firenze, Via La Pira 4, 50121 Firenze, Italy.

Jacob Keizer (J)

Department of Environment and Planning, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.

Frank G A Verheijen (FGA)

Department of Environment and Planning, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.

Classifications MeSH