Automated mapping of water bodies using Landsat multispectral data

被引:171
作者
Verpoorter, Charles [1 ]
Kutser, Tiit [1 ,2 ]
Tranvik, Lars [1 ]
机构
[1] Uppsala Univ, Dept Ecol & Genet, S-75236 Uppsala, Sweden
[2] Univ Tartu, Estonian Marine Inst, EE-12618 Tallinn, Estonia
基金
瑞典研究理事会;
关键词
SIZE-DISTRIBUTION; INDEX NDWI; TM DATA; LAKES; CLASSIFICATION; IMAGERY; DELINEATION; RESERVOIRS; ABUNDANCE; ACCURACY;
D O I
10.4319/lom.2012.10.1037
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The assessment of the role of lakes and impoundments at regional and global scales, e.g., in biogeochemical cycles, requires good estimates of the areal extent and shape of water bodies. Upscaling to large regions, except in limited areas where precise maps are available, so far depends on statistical estimates of the number and size of lakes, which explains why estimates are poor. We present an automated procedure that allows mapping of the actual number, size, and distribution of lakes at large scale. Landsat 7 Enhanced Thematic Mapper Plus (ETM +) mosaics from the GeoCover Circa 2000 dataset covering the Earth land surfaces with 14.25 m spatial resolution were used as input data. We developed an approach called GWEM (GeoCover (TM) Water bodies Extraction Method) that combines remote sensing and GIS to extract water bodies and study their abundance and morphometry. All water bodies greater than 0.0002 km(2) were taken into account as lakes. The accuracy of the method was tested on Sweden, where detailed maps of lakes, based on in situ data and orthophotos, exist for the whole country. The proposed method produced accurate results. The largest sources of errors are shadows of mountains and clouds, since the GeoCover mosaics are not absolutely cloud free.
引用
收藏
页码:1037 / 1050
页数:14
相关论文
共 66 条
[1]  
[Alsdorf D. the NASA Surface Water Working Group the NASA Surface Water Working Group], 2003, EOS T AM GEOPHYS UN, V84, P269, DOI [DOI 10.1029/2003EO290001, 10.1029/2003EO290001]
[2]  
[Anonymous], 1999, REMOTE SENSING IMAGE
[3]  
[Anonymous], 1998, SWED INF MAP DAT GEO
[4]  
Bagli S., 2004, P INITIAL ECO IMAGIN
[5]   The boundless carbon cycle [J].
Battin, Tom J. ;
Luyssaert, Sebastiaan ;
Kaplan, Louis A. ;
Aufdenkampe, Anthony K. ;
Richter, Andreas ;
Tranvik, Lars J. .
NATURE GEOSCIENCE, 2009, 2 (09) :598-600
[6]  
Bennett M.W.A., 1987, Proceedings of the 4l Australasian Remote Sensing Conference, September 14-18, Adelaide, P682
[7]   Landsat monitoring of playa-lakes in the Spanish Monegros desert [J].
Castañeda, C ;
Herrero, J ;
Casterad, MA .
JOURNAL OF ARID ENVIRONMENTS, 2005, 63 (02) :497-516
[8]   Cloud detection in Landsat imagery of ice sheets using shadow matching technique and automatic normalized difference snow index threshold value decision [J].
Choi, H ;
Bindschadler, R .
REMOTE SENSING OF ENVIRONMENT, 2004, 91 (02) :237-242
[9]   Plumbing the global carbon cycle: Integrating inland waters into the terrestrial carbon budget [J].
Cole, J. J. ;
Prairie, Y. T. ;
Caraco, N. F. ;
McDowell, W. H. ;
Tranvik, L. J. ;
Striegl, R. G. ;
Duarte, C. M. ;
Kortelainen, P. ;
Downing, J. A. ;
Middelburg, J. J. ;
Melack, J. .
ECOSYSTEMS, 2007, 10 (01) :171-184
[10]  
Congalton RG, 2019, Assessing the accuracy of remotely sensed data: principles and practices, V3