Grassland habitat mapping by intra-annual time series analysis - Comparison of RapidEye and TerraSAR-X satellite data

被引:124
作者
Schuster, Christian [1 ,2 ]
Schmidt, Tobias [2 ]
Conrad, Christopher [3 ]
Kleinschmit, Birgit [2 ]
Foerster, Michael [2 ]
机构
[1] Humboldt Univ, Dept Geog, Geoinformat Sci Lab, D-10099 Berlin, Germany
[2] Tech Univ Berlin, Geoinformat Environm Planning Lab, D-10623 Berlin, Germany
[3] Univ Wurzburg, Dept Remote Sensing, Dept Geog & Geol, D-97074 Wurzburg, Germany
来源
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2015年 / 34卷
关键词
Natura; 2000; Semi-natural grassland habitats; RapidEye; TerraSAR-X; Time series; Feature selection; IMAGE CLASSIFICATION; SPECTRAL REFLECTANCE; TEMPORAL RESOLUTION; CROP DISCRIMINATION; RADAR BACKSCATTER; SAR DATA; VEGETATION; PHENOLOGY; BIOMASS; RED;
D O I
10.1016/j.jag.2014.06.004
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
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 dry heaths 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' phenological differences. In this study, we investigated the usefulness of such data to classify grassland habitats in a 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 number of 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 introduces 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. (C) 2014 Elsevier B.V. All rights reserved.
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页码:25 / 34
页数:10
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