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Pregled bibliografske jedinice broj: 1065505

Spatial video remote sensing for urban vegetation mapping using vegetation indices


Rumora, Luka; Majić, Ivan; Miler, Mario; Medak, Damir
Spatial video remote sensing for urban vegetation mapping using vegetation indices // Urban Ecosystems, 2020 (2020), 1-13 doi:10.1007/s11252-020-01002-5 (međunarodna recenzija, članak, znanstveni)


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Naslov
Spatial video remote sensing for urban vegetation mapping using vegetation indices

Autori
Rumora, Luka ; Majić, Ivan ; Miler, Mario ; Medak, Damir

Izvornik
Urban Ecosystems (1083-8155) 2020 (2020); 1-13

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Urban vegetation ; Vegetation monitoring ; GoPro ; GBNDVI ; Spatial video

Sažetak
Urban vegetation is important because of the fast-growing urbanization. If we want cities to have sustainable growth and well-kept ecology, we need to develop a smart and efficient urban vegetation monitoring system. This paper examines the possibility of using a modified GoPro camera mounted on a car. The lens of a GoPro camera was replaced with the NDVI-7 lens to obtain blue, green and near-infrared band. The performance of four vegetation indices was tested: Blue normalized difference vegetation index (BNDVI), Green normalized difference vegetation index (GNDVI), Green-blue normalized difference vegetation index (GBNDVI), Blue-wide dynamic range vegetation index (BWDRVI). Based on those indices, binary classification was performed to classify objects in the scene as either vegetation or non-vegetation. Finally, the accuracy of each index was assessed on three different study sites. Results show that GBNDVI performs best for the given task with average classification accuracy of 95.10% for all study sites.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2016-06-5621 - Geoprostorno praćenje zelene infrastrukture na temelju terestričkih, zračnih i satelitskih snimaka (Damir Medak, )

Ustanove
Geodetski fakultet, Zagreb

Profili:

Avatar Url Mario Miler (autor)

Avatar Url Damir Medak (autor)

Avatar Url Luka Rumora (autor)

Citiraj ovu publikaciju

Rumora, Luka; Majić, Ivan; Miler, Mario; Medak, Damir
Spatial video remote sensing for urban vegetation mapping using vegetation indices // Urban Ecosystems, 2020 (2020), 1-13 doi:10.1007/s11252-020-01002-5 (međunarodna recenzija, članak, znanstveni)
Rumora, L., Majić, I., Miler, M. & Medak, D. (2020) Spatial video remote sensing for urban vegetation mapping using vegetation indices. Urban Ecosystems, 2020, 1-13 doi:10.1007/s11252-020-01002-5.
@article{article, year = {2020}, pages = {1-13}, DOI = {10.1007/s11252-020-01002-5}, keywords = {Urban vegetation, Vegetation monitoring, GoPro, GBNDVI, Spatial video}, journal = {Urban Ecosystems}, doi = {10.1007/s11252-020-01002-5}, volume = {2020}, issn = {1083-8155}, title = {Spatial video remote sensing for urban vegetation mapping using vegetation indices}, keyword = {Urban vegetation, Vegetation monitoring, GoPro, GBNDVI, Spatial video} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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