Estimation of canopy attributes in beech forests using true colour digital images from a small fixed-wing UAV

Chianucci, Francesco; Disperati, Leonardo; Guzzi, Donatella; Bianchini, Daniele; Nardino, Vanni; Lastri, Cinzia; Rindinella, Andrea; Corona, Piermaria

doi:10.1016/j.jag.2015.12.005

Cited by 158 publications

(110 citation statements)

References 41 publications

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“…Attualmente l'utilizzo di questi sistemi ha avuto un maggiore sviluppo nell'ambito dell'agricoltura di precisione (Castaldi et al 2016, Pelosi et al 2015; a livello forestale le prime esperienze ne hanno mostrato le potenzialità , Chianucci et al 2016a, Chirici 2016, promettenti per diversi motivi:…”

Section: Telerilevamento Delle Risorse Forestaliunclassified

“…• la risoluzione spaziale delle immagini ottiche da SAPR è particolarmente elevata (nell'ordine di pochi centimetri), come conseguenza della bassa quota di volo: questa caratteristica permette, ad esempio, l'identificazione della specie dei singoli alberi forestali, la perimetrazione di aree danneggiate o soggette a utilizzazioni, l'analisi della trasparenza delle chiome (Chianucci et al 2016a); • la risoluzione temporale: i bassi costi di manutenzione e di volo dei SAPR permettono di acquisire immagini della stessa area più frequentemente rispetto a quanto sia possibile con aeromobili con pilota o da satellite; è inoltre possibile effettuare nuove acquisizioni in tempi molto brevi nel caso di eventi specifici o monitoraggio real-time; • la possibilità di effettuare acquisizioni multi-sensore, data la disponibilità di SAPR dotati di strumenti sia ottici che multispettrali e, recentemente, anche LIDAR ("mini/micro LiDAR" - Fig. 4).…”

Section: Telerilevamento Delle Risorse Forestaliunclassified

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Precision forestry: concepts, tools and perspectives in Italy

Corona¹,

Chianucci²,

Quatrini³

et al. 2017

Forest@

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IntroduzioneNegli ultimi decenni è avvenuta una profonda trasformazione del settore forestale italiano, in linea con quanto osservato anche a livello europeo (MI-PAAF 2015). Il sorgere di nuove funzioni e ruoli produttivi e sociali attribuiti alle risorse forestali (sensu lato, incluse le aree verdi in ambito urbano, le piantagioni da legno e gli alberi fuori-foresta) hanno determinato una crescita dell'importanza, ma anche della complessità del sistema foresta-legno. In Italia esiste una significativa tradizione nella ricerca forestale e una radicata consapevolezza che l'innovazione e la competitività sono possibili grazie a un'alleanza tra iniziative di ricerca strategiche a scala nazionale con Abstract: Precision forestry: concepts, tools and perspectives in Italy.Recent advancements in informatics and communication technologies have led to an increasing employment of analytical and communication tools in forestry, including data from satellite, airborne, unmanned aerial vehichles, global positioning systems, and many sensors, devices and other geospatial tools. Precision forestry enables highly repeatable measurements, actions and processes to manage and harvest forest stands, simultaneously allowing information linkages between production and wood supply chain, involving resource managers and environmental community; all these factors are contributing to the wider goal of sustainable forest management. In this report, we review the most recent advances in the precision forestry applications and tools, with particular reference on advanced forest inventory, decision support systems, precision forest harvesting, and wood traceability. We discuss the opportunities and challenges towards implementing precision forest practices in forest management and planning and forest industry in Italy.

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Section: Telerilevamento Delle Risorse Forestaliunclassified

Precision forestry: concepts, tools and perspectives in Italy

Corona¹,

Chianucci²,

Quatrini³

et al. 2017

Forest@

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“…In addition, these characteristics may influence on ecosystem patterns and processes since essential nutrients and moisture are concentrated beneath canopy of plants in these open woodlands with sparse vegetation cover (Korhonen et al, 2006;Wallace et al, 2008;Chianucci et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…On the one hand, it is so expensive to apply satellite data with very high spatial resolution (e.g., WorldView-3 with 30 cm spatial resolution), and on the other hand, datasets acquired by digital cameras (such as UltraCam-D) and airborne platforms are not available in all places (Chianucci et al, 2016). Therefore, it seems necessary to use remotely sensed datasets with appropriate spatial resolution for vegetation mapping of individual plants that are available with reasonable cost and complexity.…”

Section: Introductionmentioning

confidence: 99%

Woodland Mapping at Single-Tree Levels Using Object-Oriented Classification of Unmanned Aerial Vehicle (Uav) Images

Chenari

Erfanifard

Dehghani

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Remotely sensed datasets offer a reliable means to precisely estimate biophysical characteristics of individual species sparsely distributed in open woodlands. Moreover, object-oriented classification has exhibited significant advantages over different classification methods for delineation of tree crowns and recognition of species in various types of ecosystems. However, it still is unclear if this widely-used classification method can have its advantages on unmanned aerial vehicle (UAV) digital images for mapping vegetation cover at single-tree levels. In this study, UAV orthoimagery was classified using object-oriented classification method for mapping a part of wild pistachio nature reserve in Zagros open woodlands, Fars Province, Iran. This research focused on recognizing two main species of the study area (i.e., wild pistachio and wild almond) and estimating their mean crown area. The orthoimage of study area was consisted of 1,076 images with spatial resolution of 3.47 cm which was georeferenced using 12 ground control points (RMSE=8 cm) gathered by real-time kinematic (RTK) method. The results showed that the UAV orthoimagery classified by object-oriented method efficiently estimated mean crown area of wild pistachios (52.09±24.67 m 2 ) and wild almonds (3.97±1.69 m 2 ) with no significant difference with their observed values (α=0.05). In addition, the results showed that wild pistachios (accuracy of 0.90 and precision of 0.92) and wild almonds (accuracy of 0.90 and precision of 0.89) were well recognized by image segmentation. In general, we concluded that UAV orthoimagery can efficiently produce precise biophysical data of vegetation stands at single-tree levels, which therefore is suitable for assessment and monitoring open woodlands.

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“…The studies are focusing on determining forest health (Dunford et al, 2009;Michez, et al, 2016), forest condition monitoring (Koh and Wich, 2012;Paneque-Galvez et al, 2014).Moreover they are focusing on crown analysis (Lisein et al, 2013;Wallace et al, 2013;Chianucci et al, 2015), tree species identification, tree height derivation (Wallace et al, 2012;Zarco-Tejada et al, 2014) and also on diameter at breast height derivation (Chischolm et al, 2013). …”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle Use for Wood Chips Pile Volume Estimation

Mokroš

Tabačák

Lieskovský

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission ICWG I/VbKEY WORDS: Unmanned aerial vehicle, wood chips pile, DJI Phantom, photogrammetry ABSTRACT:The rapid development of unmanned aerial vehicles is a challenge for applied research. Many technologies are developed and then researcher are looking up for their application in different sectors. Therefore, we decided to verify the use of the unmanned aerial vehicle for wood chips pile monitoring. We compared the use of GNSS device and unmanned aerial vehicle for volume estimation of four wood chips piles. We used DJI Phantom 3 Professional with the built-in camera and GNSS device (geoexplorer 6000). We used Agisoft photoscan for processing photos and ArcGIS for processing points. Volumes calculated from pictures were not statistically significantly different from amounts calculated from GNSS data and high correlation between them was found (p = 0.9993). We conclude that the use of unmanned aerial vehicle instead of the GNSS device does not lead to significantly different results. Tthe data collection consumed from almost 12 to 20 times less time with the use of UAV. Additionally, UAV provides documentation trough orthomosaic.

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Estimation of canopy attributes in beech forests using true colour digital images from a small fixed-wing UAV

Cited by 158 publications

References 41 publications

Precision forestry: concepts, tools and perspectives in Italy

Precision forestry: concepts, tools and perspectives in Italy

Woodland Mapping at Single-Tree Levels Using Object-Oriented Classification of Unmanned Aerial Vehicle (Uav) Images

Unmanned Aerial Vehicle Use for Wood Chips Pile Volume Estimation

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