XXII ISPRS Congress 2012: Technical Commission VII

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Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/4: METHODS FOR LAND COVER CLASSIFICATION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ACCURACY EVALUATION OF TWO GLOBAL LAND COVER DATA SETS OVER WETLANDS OF CHINA Z. G. Niu, Y. X. Shan, P. Gong

Document type:: Multivolume work

Structure type:: Chapter

not only very low, but also greatly different due to the various samples they used in validation. Until now, traditional manual interpretation is still the most effective method to assess the precision of the classification and it is also regarded as the highest precision classification method. In addition, there is no precedent comparison of global data set with the thematic products among all the research. Due to the wetland category’s complexity, the wetland is usually treated as other different types in different land cover classification schemes, and this is the reason why there is such a low accuracy for wetlands in all the above comparison research among the global land cover data sets. Based on the Landsat TM images across China, Niu et al. (Niu ef al., 2009) had completed the wetland mapping by manual interpretation. The two global land cover data sets-GLC2000 and MOD12Q1 were evaluated based on China wetland mapping products in this study, and the results of evaluation are discussed. 2. DATA SOURCES AND PROCESSING 2.1 Data preparation GLC2000 global land cover data have been produced by an international partnership of 30 research groups coordinated by the European Commission’s Joint Research Centre, based primarily on SPOT 4-VEGETATION daily 1-km data from November 1999 to December 2000(Loveland ef al., 2000). The global classification scheme is assigned to a LCCS land cover legend (Herold et al., 2008) . The MODIS land cover product (MOD12Q1) is based on the spectral information supplied by the MODIS sensor on-board Terra. All monthly inputs have been produced from MODIS Levels 2 and 3 data between November 2000 and December 2001 and include seven spectral bands, the enhanced vegetation index (EVI), spatial texture, land surface temperature, snow cover, elevation and a water mask (Strahler ef a/., 1999). The classification combines prior and posterior probabilities to assign the most probable class for International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia each location on the globe based on the IGBP classification scheme with 17 classes (Loveland et al, 2000). The classification uses a universal supervised approach with a multi-temporal decision tree algorithm and selects the training region from the high resolution image together with the ancillary data sets (Friedl ef al., 2002). The wetland map of China was produced by IRSA (Institute of Remote Sensing Application Chinese Academy of Sciences) based on completely manual interpretation with the minimum cartographic unit area of 9 hectares (Niu ef al., 2009). The wetland classification system is based on the Ramsar Convention and the classification of China National Forest Bureau during the first wetland survey between 1995 and 2001(Gong et al., 2010). 2.2 The crosswalk between different classification systems for the wetland The wetlands contain different land types in each global land cover data set because the global data sets and the reference data adopt different classification systems. But we cannot divide the available wetland types into more detailed classes so as to make the wetland class one-to-one correspondence among these different classification systems. Therefore the IGBP classification system that contained the least wetland-related types was chosen as the standard one. Then wetland types in the reference data set and wetland-related landcover types in the LCCS were converted to the IGBP system (table 1). There are two wetland-related types in the MOD12Q1 including permanent wetland and water. Permanent wetland can be considered as peatland to a very great extent (Pflugmacher ef al., 2007). In order to be distinguished from other wetland terms, permanent wetland was named as “peatland” and water was named as “wetland water” in our research. In addition, the paddyfields which were not included in the reference data sets were not assessed. Table 1 the crossover between different classification systems MOD12Q1 GLC2000 Reference data IGBP legend (2/17) LCCS legend (4/22) the wetland of china legend (14/15) Value Class name Value Class name Value Class name Tree Cover, ; 7 resulady flooded 11 Intertidal zone/Shoal/Bay Tree Cover, 12 Marine marshes P : 8 regularly flooded, ermanen ; 11 wetland saline water 14 Estuarine Deltas/ | sandy Regularly flooded islands 15 Shrub and/or Herbaceous 22 Flood wetlands Cover 24 Inland marshes 13 Estuarine water 15 Lagoons 21 River 23 Lakes 0 Water Bodies 20 Water bodies 31 Reservoirs / Ponds 32 Artificial river channels 33 seawater fish farms/salt flats 35 landscaping and recreational water bodies

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