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:: CLOUD DETECTION BASED ON DECISION TREE OVER TIBETAN PLATEAU WITH MODIS DATA Lina Xu, Shenghui Fang, Ruiging Niu, Jiong Li

Document type:: Multivolume work

Structure type:: Chapter

is less than 0; water would be confirmed based on the MODIS band2. The repectivity is lower than 0.1. Thirdly, cloud mask can be obtained. At last, 10-day composites were selected to obtain the real pixel of background. | | | snow | | water | | soil | | Vegetation | Figure3. The decision tree of cloud detection With a great deal repeating scenes coming from the same area the cloud pixel can be replaced by “its” real surface types, such as snow pixel or vegetation or water. S. RESULTS AND DISCUSSION With the launch of NASA’s MODIS instrument, much research working has been paid on developing all kinds of land surface applications that include the development of snow mapping algorithm for the MODIS data. But clouds have a very similar reflectance as snow. So it is very difficult to distinguish clouds from snow. In this study, a decision tree method was applied to reduce the cloud covered pixels from the MODIS snow cover data.Figure4 shows the cloud mask based on the decision tree. Every scenes of the same area were computed to get the cloud mask. Figure4. Cloud mask based on the decision tree Because the daily data will be available, it is easy to composite. Figure 5 shows the results. Snow and other surface can be mapped accurately. However, it is extremely rare to obtain more data to validate the method. And if there is a storm during the time interval the results would be unbelievable. More research should be done on cloud detection and removal. Figure5. The results of 10-day composite snow mapping 6. ACKNOWLEDGE The authors would like to thank the Earth Observing System Data center for the MODIS data This research was funded by the National High-Tech Research and Development Plan of China under Grant (Project No. 2009AA122004), the special Fund for Scientific Research (Grant No.02092411) and State Basic Research Development Program of China (Grant No. 2008CB425703). 7. REFERENCES Ackerman, Strabala, et.al., 2002. Discriminating clear sky from cloud with MODIS algorithm Theoretical basis document. Hulley, G., 2008. A new methodology for cloud detection and classification with ASTER data. Geophysical research letters, 35(1),L16812, pp.1-6. Kathlee, S., 2005. MODIS cloud mask user's guide. University of Wisconsin--Madison King, M.D., Y.J. Kaufman, W.P.Menzel, et. al, 1992. Remote sensing of cloud, aerosol, and water vapour properties from the moderate resolution imaging spectrometer./EEE Transactions on Geoscience and remote sensing, 30, pp.1-27. Partridge, G. W. and Platt, C. M. R., 1976. Radiative processes in meterorology and climatology. Elsevier Scientific Publishing Company, Amsterdam. Rango, A., 1996. Spaceborne remote sensing for snow hydrology applications. Hydrological Sciences Journal, 41(4), pp.477-494. Xu, L., Niu, R., et al. Snow cover mapping over the Tibetan plateau with MODIS and ASTER data. Second International Conference on Earth Observation for Global Changes, Proceedings of SPIE - The International Society for Optical Engineering, v 7471. * Env Univ b KEY ABST Mapp mappi optica but m: accura the un the M object spectr: cover for fis identi that h: 1.1 B Monit inforn (Hill ¢ identi as ro (Kenc Detert scale ı of ree typica image Howe such ı Also, unrepi insuff monit fine s but th An ali which expen visual of usi digitiz expen autom extren as sat metho

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