XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

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:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

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

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

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

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:: [VIII/8: Land]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PRODUCTS Haruhisa Shimoda, Kiyonari Fukue

Document type:: Multivolume work

Structure type:: Chapter

x, 99.3% S 5 99.0% = 2 = 97 À € 0 - SR (8000 clusters) 2 —e— NBAR (8000 clusters) 95 T T T 1 2 3 4 5 Time Separation Delta-t [months] Figure 9. Classification accuracies obtained by time-domain co-occurrence matrix which is defined with 8000 spectral clusters. The time-domain co-occurrence matrix defined with 8000 spectral cluster shows 396-496 higher classification accuracy than that of the time-domain co-occurrence matrix defined with reflectance. MODI2QI and MCDI12Q1 of MODIS land cover product which are respectively produced from SR and NBAR products showed classification accuracy of 81% and 96%, respectively. That is, the classification accuracy obtained by the time-domain co-occurrence matrix which is defined with spectral cluster is 3%-18% higher than that of MODIS land cover products. Classification accuracies of MODIS land cover product were measured by using same test samples. Because test samples were extracted from training area for classification of SR and NBAR products, it is fundamentally presumed that the accuracy of MOD12Q1 and MCD12Q1 products is lower than that of our classification results. However, we consider that these classification accuracies of SR and NBAR products showed good performance of the proposed simple classification method. Figure 10 shows the classification results obtained by cosine distance classifier in the case of the highest accuracy. 5. CONCLUSIONS Land cover classification for global scale were performed by using two kinds of multi-temporal MODIS reflectance products. The proposed method using the time-domain co-occurrence matrix and the non-parametric minimum distance classifier showed good classification performance compared with MOD12Q1 and MCD12Q1 MODIS land cover product. The highest classification accuracy was obtained when the non- parametric cosine distance classifier was driven by the time- domain co-occurrence matrix defined with spectral cluster and three or four months time-separation. And also, it was cleared that Surface Reflectance 8-Day L3 product and Nadir BRDF- Adjusted Reflectance product showed similar classification accuracy of 99% for IGBP-17 land cover categories. Future study should be carry out in our classification scheme in order to examine stability of classification for multiple years and to validate classification accuracy with more suitable test samples. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia (a) SR product (b) NBAR product Figure 10. Land cover classification results. Acknowledgements This study was supported by the JAXA GCOM-C project under contract "JX-PSPC-332027". REFERENCES Alan Srahler, Doug Muchoney, etc., 1 May 1999. MODIS Land Cover Product Algorithm Theoretical Basis Document (Version 5.0) E. F. Vermote and S. Y. Kotchenova, March, 2008. MOD09 (Surface Reflectance) Users Guide. Land Processes DAAC(EROS) in collaboration with the Department of Mathematics and Computer Science, South Dakota School of Mines and Technology, January 2006. MODIS Reprojection Tool User's Manual(Release 3.3a). Mikio Maeda, Kiyonari Fukue and Haruhisa Shimoda, 2010. Continental scale land cover classification using MODIS surface reflectance product. In: Proc. The 31th Asian Conference on Remote Sensing, Hanoi, Vietnam, pp.PS01-10-1- PS01-10-6.. Haruhisa — Shimoda and Kiyonari Fukue, 2011. CONTINENTAL SCALE LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PRODUCTS. In: 2011 IEEE International Geoscience & Remote Sensing Symposiums, Vancouver, Canada, pp. 692-695. Haruhisa Shimoda and Kiyonari Fukue, 2011. GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PRODUCTS. In: Proc. The 32nd Asian Conference on Remote Sensing, TAIPEI, pp.P_241_8-23-20-1-5. Inte SE KEY ABS] Soil e other northe outlet From let of basin soil c manag (78.0¢ found terrair Land water the nm additi soil « depos effect destru Irriga geogr degra the ef to 7 loss h Europ and S 1993) In ass proble area ( adopt condit are ar they a 2000) area s erosio global existit signif

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