DOI: 10.1016/j.jag.2013.12.011
Scopus记录号: 2-s2.0-84897499577
论文题名: Ecological site classification of semiarid rangelands: Synergistic use of Landsat and Hyperion imagery
作者: Blanco P ; D ; , del Valle H ; F ; , Bouza P ; J ; , Metternicht G ; I ; , Hardtke L ; A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 29, 期: 1 起始页码: 11
结束页码: 21
语种: 英语
英文关键词: Ecological site
; Endmember selection
; Hyperion
; Land management
; Logistic regression
; Mixture tuned matched filtering
; Neural networks
Scopus关键词: accuracy assessment
; artificial neural network
; data processing
; ecological approach
; Hyperion
; image classification
; Landsat thematic mapper
; logistics
; pixel
; rangeland
; regression analysis
; satellite imagery
; semiarid region
; site characterization
; spectral resolution
; vegetation cover
; Argentina
; Patagonia
英文摘要: Ecological sites are the basic entity used in rangeland health assessment. This study evaluates the synergistic use of multi- and hyper-spectral satellite imagery for sub-pixel classification of ecological sites in semiarid rangelands. Hyperion and Landsat enhanced thematic mapper (ETM) data are included in a two-step procedure to mapping ecological sites in Patagonian rangelands of Argentina. Firstly, mixture tuned matched filtering and logistic regression analyses are used for Hyperion data processing to obtain ecological site probability images in the area covered by hyperspectral imagery. Secondly, artificial neural networks are applied to model the relationships between the spectral response patterns of Landsat and the probability images from Hyperion, and used to map ecological sites over the entire study area. Overall classification accuracy was 81% (kappa = 0.77) with relatively high accuracies for all ecological sites demonstrating that their spectral signatures are sufficiently distinct to be detectable. Better accuracies were obtained for shrub steppes with desert pavement (producer's and user's accuracies of 89% and 84%, respectively), and shrub-grass steppes associated to tertiary calcareous outcrops (producer's and user's accuracies of 100% and 86%, respectively), while poorer accuracies resulted for shrub-grass steppes on old alluvial plains (producer's and user's accuracies of 75% and 56%, respectively). Fuzzy maps of ecological sites as presented in this research can provide rangeland managers with a tool to stratify the landscape and organize ecological information for rangeland health assessment and monitoring, prioritizing and selecting appropriate management actions, and promoting the recovery of areas degraded in these environments. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79668
Appears in Collections: 气候变化事实与影响
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作者单位: National Patagonian Center-Argentinean National Research Council, Terrestrial Ecology Unit, Chubut U9120 ACD, Puerto Madryn, Chubut, Argentina; Institute of Environmental Studies, University of New South Wales, Sydney 2052, NSW, Australia
Recommended Citation:
Blanco P,D,, del Valle H,et al. Ecological site classification of semiarid rangelands: Synergistic use of Landsat and Hyperion imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,29(1)