European forest cover mapping with high resolution satellite data: The Carpathians case study

被引:27
作者
Kozak, Jacek [1 ,2 ]
Estreguil, Christine [1 ]
Ostapowicz, Katarzyna [1 ,2 ]
机构
[1] European Commiss DG, Joint Res Ctr, Inst Environm & Sustainabil, Land Management & Nat Hazards Unit, I-21020 Ispra, Italy
[2] Jagiellonian Univ, Inst Geog & Spatial Management, PL-30387 Krakow, Poland
来源
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2008年 / 10卷 / 01期
关键词
European forests; large area mapping; landsat; image segmentation; CORINE land cover;
D O I
10.1016/j.jag.2007.04.003
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The aim of the study was to elaborate a methodology for forest mapping based on high resolution satellite data, relevant for reporting on forest cover and spatial pattern changes in Europe. The Carpathians were selected as a case study area and mapped using 24 Landsat scenes, processed independently with a supervised approach combining image segmentation, knowledge-based rules to extract a training set and the maximum likelihood decision rule. Validation was done with available very high resolution imagery. Overall accuracies per scene ranged from 93 to 96%. The labelling disagreement in overlapping areas of adjacent scenes was 6.8% on average. The proposed methodology is easily applicable to other regions in Europe. It allows an accurate forest-non-forest map to be obtained in a quick and cost effective manner, spatially more detailed than the currently available European data sets. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:44 / 55
页数:12
相关论文
共 42 条
[1]  
Abeyta AM, 1998, PHOTOGRAMM ENG REM S, V64, P59
[2]  
BAATZ M, 2001, ECOGNITION OBJECT OR
[3]   GLC2000:: a new approach to global land cover mapping from Earth observation data [J].
Bartholomé, E ;
Belward, AS .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (09) :1959-1977
[4]  
BOSSARD M, 1998, 38 EUR ENV AG
[5]   Land cover mapping of large areas from satellites: status and research priorities [J].
Cihlar, J .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (6-7) :1093-1114
[6]  
Congalton R., 2019, Assessing the accuracy of remotely sensed data: principles and practices
[7]  
Third, V3rd ed.
[8]   Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification [J].
Dorren, LKA ;
Maier, B ;
Seijmonsbergen, AC .
FOREST ECOLOGY AND MANAGEMENT, 2003, 183 (1-3) :31-46
[9]  
*EC DG JOINT RES C, 2001, 17240200012FIED ECDG
[10]  
ESTREGUIL C, 2004, WORKSH FOR BIOD REP