DOI: 10.1016/j.jag.2016.07.011
Scopus记录号: 2-s2.0-84998673750
论文题名: Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain)
作者: Novelli A ; , Aguilar M ; A ; , Nemmaoui A ; , Aguilar F ; J ; , Tarantino E
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 403
结束页码: 411
语种: 英语
英文关键词: Greenhouses
; Landsat8 OLI
; Object-based classification
; Segmentation quality
; Sentinel-2 MSI
; WorldView-2
Scopus关键词: classification
; greenhouse gas
; image analysis
; Landsat
; segmentation
; Sentinel
; WorldView
; Almeria [Andalucia]
; Andalucia
; Spain
; Euclidia
英文摘要: This paper shows the first comparison between data from Sentinel-2 (S2) Multi Spectral Instrument (MSI) and Landsat 8 (L8) Operational Land Imager (OLI) headed up to greenhouse detection. Two closely related in time scenes, one for each sensor, were classified by using Object Based Image Analysis and Random Forest (RF). The RF input consisted of several object-based features computed from spectral bands and including mean values, spectral indices and textural features. S2 and L8 data comparisons were also extended using a common segmentation dataset extracted form VHR World-View 2 (WV2) imagery to test differences only due to their specific spectral contribution. The best band combinations to perform segmentation were found through a modified version of the Euclidian Distance 2 index. Four different RF classifications schemes were considered achieving 89.1%, 91.3%, 90.9% and 93.4% as the best overall accuracies respectively, evaluated over the whole study area. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80050
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: DICATECh, Politecnico di Bari, via Orabona 4C.A.PBari, Italy; Escuela Superior de Ingeniería de la Unversidad de Almeria (UAL), Almeria Ctra. Sacramento s/n − La Cañana de San Urbano Almería, Spain
Recommended Citation:
Novelli A,, Aguilar M,A,et al. Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain)[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52