Search results for "Triangle Method"
showing 5 items of 5 documents
Stima da remoto delle caratteristiche evapotraspirative e di umidità del sistema suolo-vegetazione di un impianto viticolo su morfologia complessa
2009
Obiettivo della ricerca è la messa a punto di tecniche di elaborazione d’immagini telerilevate al fine di analizzare le caratteristiche evapotraspirative e di umidità del sistema suolo-vegetazione. La valutazione di tali grandezze è, infatti, di notevole interesse poiché consente alle aziende viticole di ottimizzare i processi di produzione nonché la qualità del prodotto. L’evapotraspirazione effettiva del sistema suolo-vegetazione (ETa) è stata stimata mediante l’applicazione del SEBAL (Surface Energy Balance Algorithm for Land), un modello di bilancio energetico facente uso d’immagini telerilevate nel campo riflessivo ed emissivo dello spettro. Il modello, implementato nella versione Moun…
Exploring the use of Unmanned Aerial Vehicles (UAVs) with the simplified ‘triangle’ technique for soil water content and evaporative fraction retriev…
2020
Participation of Dr. Petropoulos has been funded by the ENViSIoN-EO Marie Skłodowska-Curie grant (grant No 752094), part of the European Union’s Horizon 2020 research and innovation programme. Part of the present collaborative work was also materialised in the framework of a short Term Scientific Mission (STSM) of the HARMONIOUS Cost Action which financially supported Dr Petropoulos’ visit between 4 to 15 February 2020 to the Department of Engineering of the University of Palermo, Italy. Η συμμετοχή του Δρ. Πετρόπουλου χρηματοδοτήθηκε από το πρόγραμμα της Ευρωπαϊκής Ένωσης για Έρευνα και Καινοτομία «Oρίζοντας 2020», δράση Marie Sklodowska - Curie , έργο ENViSIoN-EO (αριθ. 752094). Επίσης μέ…
Soil Water Content Assessment: Critical Issues Concerning the Operational Application of the Triangle Method
2015
Knowledge of soil water content plays a key role in water management efforts to improve irrigation efficiency. Among the indirect estimation methods of soil water content via Earth Observation data is the triangle method, used to analyze optical and thermal features because these are primarily controlled by water content within the near-surface evaporation layer and root zone in bare and vegetated soils. Although the soil-vegetation-atmosphere transfer theory describes the ongoing processes, theoretical models reveal limits for operational use. When applying simplified empirical formulations, meteorological forcing could be replaced with alternative variables when the above-canopy temperatu…
Surface soil humidity retrieval using remote sensing techniques: a triangle method validation
2010
Soil humidity plays a key-role in hydrological and agricultural processes. In the rainfall-runoff processes the knowledge of its spatial distribution is fundamental to accurately model these phenomena. Furthermore in agronomy and agricultural sciences, assessing the water content of the root zone is required in order to optimize the plant productivity and to improve the irrigation systems management. Despite the importance of this variable the in situ measurements techniques based on Time Domain Reflectometry (TDR) or on the standard thermo-gravimetric methods, are neither cost-effective nor representative of its spatial and temporal variability. Indirect estimations via Earth Observation (…
Soil water content assessment: Seasonal effects on the triangle method
2016
Among indirect estimations of the soil water content in the upper layer, the "triangle method" is based on the relationship between the optical and thermal features sensed via Earth Observation. These features are controlled by water content at surface and within root zone, but also by meteorological forcing including air temperature and humidity, and solar radiation. Night and day-time MODIS composite land-surface temperature (LST) allowed applying the thermal admittance version of the method; by taking into account the temporal admittance of the soil, this version was previously found achieving high accuracy in estimate the soil water content at high spatial resolution within a short time…