Recognition of the invasive species Robinia pseudacacia from combined remote sensing and GIS sources

Somodi, Imelda; Čarni, Andraž; Ribeiro, Daniela; Podobnikar, Tomaž

doi:10.1016/j.biocon.2012.02.014

Cited by 47 publications

(25 citation statements)

References 52 publications

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“…The observed area is limited to the following extent: 16°10'3'' E, 46°37'33'' N and 16°10'47'' E, 46°37'47'' N, resulting area size of 0.4 km 2 . In the wooded areas, considerable tracts are overgrown with invasive species Robinia pseudoacacia (Repe, 2009;Somodi et al, 2012) (Figure 1 The level of students' understanding and ability to apply their knowledge of ISO 19157 was assessed with an aid of six designated tasks. …”

Section: Background Research Information Course Aims Objectives Andmentioning

confidence: 99%

“…The GNSS configuration was utilised with the support of digital orthophotos (Ortho photo, 2010) with resolution of 0.5 m and topographic base maps in scale 1 : 5,000 (Te meljni topografski …, 2006) and 1 : 25,000 (Državna topografska …, 1997). Obtained R. pseudoacacia areas were supplemented with the visual interpretation of the digital orthophotos taken during the flowering of the species in 2005 (Somodi et al, 2012).…”

Section: Datasets Considered As Ground Truthmentioning

confidence: 99%

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Sodelovalni in individualni pristop pri obrnjenem učenju z ocenjevanjem študentov na podlagi kontrole prostorskih podatkov

Bec¹,

Podobnikar

2015

dela

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A variant of flipped learning based on intensive usage of geomedia in geography and geo informatics has been developed and presented in the article. Students assessed quality of mapping according to ISO standard. The results show that individuals are considerably better than groups, especially in tasks which required the use of critical judgement, deep er understanding and creative thinking. However, groups are more successful in finding unique differences, where synergy effect of the collaborative learning is an important factor.Key words: flipped learning, individual and collaborative learning, Bloom's taxonomy, geomedia, didactics of geography, grading, spatial data quality SODELOVALNI IN INDIVIDUALNI PRISTOP PRI OBRNJENEM UČENJU Z OCENJEVANJEM ŠTUDENTOV NA PODLAGI KONTROLE PROSTORSKIH PODATKOVIzvleček V članku je predstavljena inovativna različica pristopa obrnjenega učenja, ki temelji na inten zivni uporabi geomedijev pri poučevanju geografije in geoinformatike. Študentje ocenjujejo kakovost kartiranja na podlagi ISO standarda. Rezultati kažejo, da so posamezniki bistveno boljši v primerjavi s skupinami pri tistih nalogah, ki zahtevajo kritično presojo, poglobljeno razumevanje snovi in kreativno razmišljanje. Skupine so uspešnejše pri ugotavljanju unikat nih razlik, kjer prihaja do izraza sinergijski efekt kot posledica sodelovalnega učenja.Ključne besede: obrnjeno učenje, individualno in sodelovalno učenje, Bloomova ta ksonomija, geomediji, didaktika geografije, ocenjevanje, kakovost prostorskih podatkov 104 Damijan Bec, Tomaž Podobnikar / Dela 44 • 2015 • 103-133

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Section: Background Research Information Course Aims Objectives Andmentioning

confidence: 99%

Section: Datasets Considered As Ground Truthmentioning

confidence: 99%

Sodelovalni in individualni pristop pri obrnjenem učenju z ocenjevanjem študentov na podlagi kontrole prostorskih podatkov

Bec¹,

Podobnikar

2015

dela

Self Cite

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“…1 приведены ссылки на рабо-ты, посвященные изучению разных элемен-тов растительного покрова с помощью дан-ных дистанционного зондирования. Nilsen et al, 2013;Chen et al, 2015Reese et al, 2014Stow et al, 2004Laurin et al, 2013 Луговые, степные, пустынные сообще-ства Schaffrath et al, Ткачук, 2012Шабанов и др., 2014;Владимиров и др., 2014;Мячина, 2014;Hou et al, 2014 Водная и прибреж-но-водная расти-тельность Попо-ва, Бычкова, 2012; Биологическое раз-нообразие растений (в целом) Распространение от-дельных видов рас-тений (как правило, редких или инвазив-ных) Peterson, 2005;Bradley, Mustard, 2006;GavierPizarro et al, 2012;Johnston et al, 2012;Somodi et al, 2012Pouteau et al, 2012Vanselow, Samimi, 2014Fuller, 2005Odindi et al, 2014 Оригинальные методы иссле-дований Проект, подразумевающий исполь-зование данных дистанционного зонди-рования, состоит из нескольких последо-вательных этапов. Минимальный их на-бор включает выбор и получение данных дистанционного зондирования (сравни-тельная характеристика открытых данных приведена в табл.…”

Section: Introductionunclassified

Open-source multispectral remote sensing data for the investigation of plant communities

Komarova¹,

Zhuravleva²,

Yablokov³

2016

Principles of the Ecology

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“…For plant species detection, proper timing of data acquisition is important because less distinct species might be detected only during certain phenological stages (Huang and Asner, 2009). The RS mapping strategy must reflect the morphological and structural features of the plant under study to choose the best phenological stage, such as the peak of flowering or certain vegetative features such as the structure of the canopy or spectral signature especially in the NIR part of spectrum (Jones et al, 2011;Dorigo et al, 2012;Somodi et al, 2012). Application of unmanned aerial vehicles (UAVs) can provide flexible data acquisition to support this requirement.…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicles for Alien Plant Species Detection and Monitoring

Dvořák

Müllerová

Bartaloš

et al. 2015

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

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ABSTRACT:Invasive species spread rapidly and their eradication is difficult. New methods enabling fast and efficient monitoring are urgently needed for their successful control. Remote sensing can improve early detection of invading plants and make their management more efficient and less expensive. In an ongoing project in the Czech Republic, we aim at developing innovative methods of mapping invasive plant species (semi-automatic detection algorithms) by using purposely designed unmanned aircraft (UAV). We examine possibilities for detection of two tree and two herb invasive species. Our aim is to establish fast, repeatable and efficient computerassisted method of timely monitoring, reducing the costs of extensive field campaigns. For finding the best detection algorithm we test various classification approaches (object-, pixel-based and hybrid). Thanks to its flexibility and low cost, UAV enables assessing the effect of phenological stage and spatial resolution, and is most suitable for monitoring the efficiency of eradication efforts. However, several challenges exist in UAV application, such as geometrical and radiometric distortions, high amount of data to be processed and legal constrains for the UAV flight missions over urban areas (often highly invaded). The newly proposed UAV approach shall serve invasive species researchers, management practitioners and policy makers.

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Recognition of the invasive species Robinia pseudacacia from combined remote sensing and GIS sources

Cited by 47 publications

References 52 publications

Sodelovalni in individualni pristop pri obrnjenem učenju z ocenjevanjem študentov na podlagi kontrole prostorskih podatkov

Sodelovalni in individualni pristop pri obrnjenem učenju z ocenjevanjem študentov na podlagi kontrole prostorskih podatkov

Open-source multispectral remote sensing data for the investigation of plant communities

Unmanned Aerial Vehicles for Alien Plant Species Detection and Monitoring

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