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/6: REMOTE SENSING DATA FUSION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: SYNTHETIC APERTURE RADAR (SAR) AND OPTICAL IMAGERY DATA FUSION: CROP YIELD ANALYSIS IN SOUTHEAST ASIA S. M. Parks

Document type:: Multivolume work

Structure type:: Chapter

es; HH scape in es using ration of B color input 2) input |. es in the periods re easily | purple ;; Color d of the epresent 1e fields e areas November 201 1 November 201 1 Figure 3: Top: ETM+ Image RGB= bands 5,4,3 from November 2011; Bottom: ENVISAT ASAR APS HV processed data from November 2011 A maximum likelihood classifier was used in ENVI to compare the ETM+ image alone, a minimum distance classifier was used for the single band SAR image, and the two images fused together. The results are shown in Figure 4 below. November 2011 November 2011 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 November 20 11 Vegetation Classes dd Unclaz zHded Plce deldz Fore zl om Figure 4: Top: ETM+ Classification, Middle: SAR Classification, Bottom: Fused ETM+ and SAR classification 4. CONCLUSION A combination of optical data with SAR data is an effective method to delineate rice crops in the Ganges Delta of Bangladesh as it gives more detail than using the optical image alone, and less noise than when using the SAR image on its own. The multi-temporal SAR data makes it easier to visualize the location of the rice crops as they change during the growing cycle, and the combination of fusing optical data with the processed SAR data allows for a more accurate classification of the rice fields for more accurate crop yield mapping. 5. REFERENCES Abu Bakar, S., Shaari, A., Chuah, H. T., & Ewe, H. T. (1997). SAR Backscatter Response of Various Growth Stages of Wetland Rice Paddy in Malaysia. Retrieved 04 04, 2012, from Asian Associaton on Remote Sensing: http://a-a-r- s.org/acrs/proceeding/ACRS1997/Papers/AGS97-1.htm Karjalainen, M., Kuittinen, R., Junnikkala, V., Karvonen, T., Nguyen, M. H., & Tran, H. T. (2010, 02 05). Rice yield estimation using SAR images, meteorological data and GIS. Retrieved 04 10, 2012, from European Space Agency publications: http://earth.esa.int/pub/ESA_DOC/gothenburg/23 lkarja.pdf Liew, S. C., Kam, S. P., Tuong, T.-P., Chen, P., Minh, V.-Q., Balababa, L., et al. (1997). Delineation of Rice Cropping Systems in the Mekong River Delta using Multitemporal ERS Synthetic Aperture Radar. Retrieved 04 06, 2012, from ESA

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