Land cover characterization and change detection for environmental monitoring of pan-Europe

被引:127
作者
Mücher, CA
Steinnocher, KT
Kressler, FP
Heunks, C
机构
[1] DLO, Winand Staring Ctr, NL-6700 AC Wageningen, Netherlands
[2] Austrian Res Ctr Seibersdorf, A-2444 Seibersdorf, Austria
关键词
D O I
10.1080/014311600210128
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Environmental studies need up-to-date and reliable information on land use and land cover. Such databases, which can be characterized by a high spatial accuracy and that can be updated easily, are currently not available for Europe as a whole. We investigated the applicability of satellite data for Pan-European Land Cover Monitoring (PELCOM). The main objective was to develop a method by which to obtain a 1 km spatial resolution pan-European land cover database that can be updated easily using National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA AVHRR) satellite data. The database will be used as input for environmental impact studies and climate research. The study takes full advantage of both multi-spectral and multi-temporal 1 km AVHRR data. The proposed methodology for land cover mapping has its limitations in monitoring changes due to the spatial resolution and the limited accuracy of AVHRR-derived land cover data. Therefore, a change detection technique based on the use of thematic fraction images highlights those areas where the proportions of the various land cover types have changed.
引用
收藏
页码:1159 / 1181
页数:23
相关论文
共 41 条
[1]  
ADAMS JB, 1986, J GEOPHYS RES-SOLID, V91, P8098, DOI 10.1029/JB091iB08p08098
[2]   Comparison of fuzzy c-means classification, linear mixture modelling and MLC probabilities as tools for unmixing coarse pixels [J].
Bastin, L .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (17) :3629-3648
[3]  
CEC, 1993, CORINE LAND COV TECH
[4]   AVHRR-derived vegetation mapping over Western Europe for use in numerical weather prediction models [J].
Champeaux, JL ;
Arcos, D ;
Bazile, E ;
Giard, D ;
Goutorbe, JP ;
Habets, F ;
Noilhan, J ;
Roujean, JL .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (6-7) :1183-1199
[5]   Vegetation parameters maps over Europe using NOAA/AVHRR in meteorological models [J].
Champeaux, JL ;
Arcos, D ;
Bazile, E ;
Giard, D ;
Noilhan, J .
IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, :1726-1728
[6]  
Coppin P. O. L. R., 1996, Remote Sensing Reviews, V13, P612, DOI [https://doi.org/10.1080/02757259609532305, DOI 10.1080/02757259609532305, 10.1080/02757259609532305]
[7]   SUBPIXEL MEASUREMENT OF TROPICAL FOREST COVER USING AVHRR DATA [J].
CROSS, AM ;
SETTLE, JJ ;
DRAKE, NA ;
PAIVINEN, RTM .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1991, 12 (05) :1119-1129
[8]   Subpixel forest cover in central Africa from multisensor, multitemporal data [J].
DeFries, R ;
Hansen, M ;
Steininger, M ;
Dubayah, R ;
Sohlberg, R ;
Townshend, J .
REMOTE SENSING OF ENVIRONMENT, 1997, 60 (03) :228-246
[9]   NDVI-DERIVED LAND-COVER CLASSIFICATIONS AT A GLOBAL-SCALE [J].
DEFRIES, RS ;
TOWNSHEND, JRG .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (17) :3567-3586
[10]  
*ESA, 1989, SHARP 1 TECHN SPEC C