DOI: 10.1016/j.jag.2016.03.010
Scopus记录号: 2-s2.0-85019449798
论文题名: Using remote sensing products to classify landscape. A multi-spatial resolution approach
作者: García-Llamas P ; , Calvo L ; , Álvarez-Martínez J ; M ; , Suárez-Seoane S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 50 起始页码: 95
结束页码: 105
语种: 英语
英文关键词: CORINE
; Land cover
; NDVI
; NOAA
; Uncertainty
英文摘要: The European Landscape Convention encourages the inventory and characterization of landscapes for environmental management and planning actions. Among the range of data sources available for landscape classification, remote sensing has substantial applicability, although difficulties might arise when available data are not at the spatial resolution of operational interest. We evaluated the applicability of two remote sensing products informing on land cover (the categorical CORINE map at 30 m resolution and the continuous NDVI spectral index at 1 km resolution) in landscape classification across a range of spatial resolutions (30 m, 90 m, 180 m, 1 km), using the Cantabrian Mountains (NW Spain) as study case. Separate landscape classifications (using topography, urban influence and land cover as inputs) were accomplished, one per each land cover dataset and spatial resolution. Classification accuracy was estimated through confusion matrixes and uncertainty in terms of both membership probability and confusion indices. Regarding landscape classifications based on CORINE, both typology and number of landscape classes varied across spatial resolutions. Classification accuracy increased from 30 m (the original resolution of CORINE) to 90m, decreasing towards coarser resolutions. Uncertainty followed the opposite pattern. In the case of landscape classifications based on NDVI, the identified landscape patterns were geographically structured and showed little sensitivity to changes across spatial resolutions. Only the change from 1 km (the original resolution of NDVI) to 180 m improved classification accuracy. The value of confusion indices increased with resolution. We highlight the need for greater effort in selecting data sources at the suitable spatial resolution, matching regional peculiarities and minimizing error and uncertainty. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80074
Appears in Collections: 气候变化事实与影响
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作者单位: Biodiversity and Environmental Management Dpt., Faculty of Biological and Environmental Sciences, University of León, León, Spain; Environmental Hydraulics Institute “IH Cantabria”, C/Isabel Torres 15, Parque Científico y Tecnológico de Cantabria, Santander, Spain
Recommended Citation:
García-Llamas P,, Calvo L,, Álvarez-Martínez J,et al. Using remote sensing products to classify landscape. A multi-spatial resolution approach[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,50