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/6: Agriculture, Ecosystems and Bio-Diversity]

Document type:: Multivolume work

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Chapter

Title:: EVALUATION OF WHEAT GROWTH MONITORING METHODS BASED ON HYPERSPECTRAL DATA OF LATER GRAIN FILLING AND HEADING STAGES IN WESTERN AUSTRALIA T. Nakanishi, Y. Imai, T. Morita, Y. Akamatsu, S. Odagawa, T. Takeda and O. Kashimura

Document type:: Multivolume work

Structure type:: Chapter

320000 330000 340000 350000 A i 1 3 H 1 $ 2 i i ë ä Legend d E Lo HyMap Fight Arca. Paddock Estimated LOf (8) E £n 8 E 3 2 ac 0 25005000 10,000 Meters (d) Ash Content 320000 220000 340000 350000 N A soon - 8650000 6840000 Legend Ouadrat 320000 290000 240000 350000 0 2.500 5.000 10,000 Meters. LILILBI[ R22 (e) HyMap Imagery of Later Grain Filling Stage ane 300000 0800007 ^ Yin zz 8840000 Legend d ENS Quadrat Estimated Moisture M 0 2500 5000 10.000 Meters (f) Head Moisture Figure 7: Estimation Maps based on HyMap Imagery 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 6. CONCLUSION Estimation methods for the wheat yield, quality, and growth conditions were evaluated using both the ground-based and airborne hyperspectral data of the suburbs of Mullewa, Western Australia. This study revealed that the head moisture was well estimated by the multi regression analysis using the hyperspectral data of the later grain filling stage. This also indicated that the grain weight was well estimated by the PLS regression analysis, and the grain nitrogen content rate and ash content were well estimated by the multi regression analysis using the hyperspectral data of the heading stage. To sum up, this study achieved certain results of the development of the monitoring method for the wheat yield, quality, and growth conditions using hyperspectral data of the later grain filling and heading stages. For the future, the estimation accuracy will be improved by modifying the estimation methods. It is also possible that the estimation methods will be examined in different regions. 7. ACKNOWLEDGEMENT This study was conducted as part of the project, "The 2009 and 2010 Research and Development of the Fundamental Technology for Next-generation Satellite Utilizations, of the former Earth Remote Sensing Data Analysis Center (ERSDAC). We sincerely thank Dr. Tom Cudahy and Dr. Ian C Lau at the Commonwealth Scientific and Industrial Research Organization (CSIRO) and Mr. Buddy Wheaton and Dr. Daniel Carter at the Department of Agriculture and Food, Western Australia (DAFWA) for their help in the field study and airborne observations. 8. REFERENCES Imai, Y., Morita, T., Akamatsu, Y., Odagawa, S., Takeda, T., and Kashimura, O., 2011. Evaluation of wheat growth monitoring methods based on hyperspectral data in western Australia. In: IGARSS 2011: IEEE International Geoscience and Remote Sensing Symposium Proceedings, pp. 3338-3341. Inoue, Y., Pefiuelas, P., Miyata, A., and Mano, M., 2008. Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements in rice. In: Remote Sensing of Environment, vol. 1112, pp. 156-172. Shibayama, M. and Akiyama, T., 1989. Seasonal visible, near- infrared and mid-infrared spectra of rice canopies in relation to LAI and above-ground dry phytomass. In: Remote Sensing of Environment, vol. 27, pp. 119-127. Intel ® Fle “D KEY ABS] The | diffic Work to as heath differ WV2 spect spect depei calibi pine in ca subti pres fores usua arbo and are | com Laui abur beer regi distr veg The conc reso Spec gree nea regi ban

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