DOI: 10.1016/j.jag.2014.06.004
Scopus记录号: 2-s2.0-84907965453
论文题名: Grassland habitat mapping by intra-annual time series analysis -Comparison of RapidEye and TerraSAR-X satellite data
作者: Schuster C ; , Schmidt T ; , Conrad C ; , Kleinschmit B ; , Förster M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 34, 期: 1 起始页码: 25
结束页码: 34
语种: 英语
英文关键词: Feature selection
; Natura 2000
; RapidEye
; Semi-natural grassland habitats
; TerraSAR-X
; Time series
Scopus关键词: grassland
; habitat
; mapping
; multispectral image
; nature reserve
; satellite data
; TerraSAR-X
; time series analysis
; Germany
英文摘要: Remote sensing concepts are needed to monitor open landscape habitats for environmental change and biodiversity loss. However, existing operational approaches are limited to the monitoring of European dryheaths only. They need to be extended to further habitats. Thus far, reported studies lack the exploitation of intra-annual time series of high spatial resolution data to take advantage of the vegetations' phenolog-ical differences. In this study, we investigated the usefulness of such data to classify grassland habitats ina nature reserve area in northeastern Germany. Intra-annual time series of 21 observations were used,acquired by a multi-spectral (RapidEye) and a synthetic aperture radar (TerraSAR-X) satellite system, to differentiate seven grassland classes using a Support Vector Machine classifier. The classification accuracy was evaluated and compared with respect to the sensor type - multi-spectral or radar - and the numberof acquisitions needed. Our results showed that very dense time series allowed for very high accuracy classifications (>90%) of small scale vegetation types. The classification for TerraSAR-X obtained similar accuracy as compared to RapidEye although distinctly more acquisitions were needed. This study intro-duces a new approach to enable the monitoring of small-scale grassland habitats and gives an estimate of the amount of data required for operational surveys. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79592
Appears in Collections: 气候变化事实与影响
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作者单位: Geoinformation Science Lab, Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, Berlin, Germany; Geoinformation in Environmental Planning Lab, Technischet Berlin, Straße dUniversitaes 17. Juni 145, Berlin, Germany; Department of Remote Sensing, Julius-Maximilians-Universität Würzburg, Oswald-Külpe-Weg 86, Würzburg, Germany; Department of Geography and Geology, Julius-Maximilians-Universität Würzburg, Oswald-Külpe-Weg 86, Würzburg, Germany
Recommended Citation:
Schuster C,, Schmidt T,, Conrad C,et al. Grassland habitat mapping by intra-annual time series analysis -Comparison of RapidEye and TerraSAR-X satellite data[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,34(1)