XXII ISPRS Congress 2012: Technical Commission VII

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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:: 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/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: FULL WAVEFORM ACTIVE HYPERSPECTRAL LIDAR T. Hakala, J. Suomalainen, S. Kaasalainen

Document type:: Multivolume work

Structure type:: Chapter

3. CONCLUSION We present the first prototype of a full waveform hyperspectral terrestrial laser scanner and its first applications in the remote sensing of vegetation. The instrument provides a novel approach for one shot spectral imaging and laser scanning by producing hyperspectral 3D point clouds. The spectra can be used in, e.g., visualization and automated classification of the point cloud and calculation of spectral indices for extraction of target physical properties. The new type of data opens up new possibilities for more efficient and automatic retrieval of distinctive target properties, leading to improved monitoring tools for remote sensing applications, e.g., 3D-distribution of chlorophyll or water concentration in vegetation. At this stage the instrument is optimized for short range terrestrial applications, but we believe that, as technology matures, hyperspectral laser scanners with extended distance and spectral range will also become available from commercial manufacturers. 3.1 References Dudley JM, Genty G and Coen S (2006) Supercontinuum generation in photonic crystal fiber. Reviews of Modern Physics 78(4): 1135. Haboudane D, Miller JR, Pattey E, Zarco-Tejada PJ and Strachan IB (2004) Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment 90(3): 337-352. Hakala T, Suomalainen J, Kaasalainen S and Chen Y (2012) Full Waveform Hyperspectral LiDAR for Terrestrial Laser Scanning. Submitted to Optics Express. Hapke B (1993) Theory of Reflectance and Emittance Spectroscopy. Cambridge, UK: Cambridge University Press. Honkavaara E, Markelin L, Rosnell T and Nurminen K (2012) Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry. ISPRS Journal of Photogrammetry and Remote Sensing 67: 13-26. Johnson B, Joseph R, Nischan M, Newbury A, Kerekes J, Barclay H, et al. (1999) A Compact, Active Hyperspectral Imaging System for the Detection of Concealed Targets. : International Society for Optical Engineering (SPIE). Jones TG, Coops NC and Sharma T (2010) Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada. Remote Sensing of Environment 114(12): 2841-2852. Kudlinski A, Lelek M, Barviau B, Audry L and Mussot A (2010) Efficient blue conversion from a 1064 nm microchip laser in long photonic crystal fiber tapers for fluorescence microscopy. Optics Express 18(16): 16640-16645. Nischan M, Joseph R, Libby J and Kerekes J (2003) Active spectral imaging. Lincoln Laboratory Journal 14: 131-144. Penuelas J, Filella I, Biel C, Serrano L and Save R (1993) The reflectance at the 950—970 nm region as an indicator of plant 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 water status. International Journal of Remote Sensing 14(10): 1887-1905. Pfennigbauer M and Ullrich A (2011) Multi-Wavelength Airborne Laser Scanning. : ILMF 2011. Puttonen E, Jaakkola A, Litkey P and Hyyppä J (2011) Tree Classification with Fused Mobile Laser Scanning and Hyperspectral Data. Sensors 11(5): 5158-5182. Puttonen E, Suomalainen J, Hakala T, Ràikkónen E, Kaartinen H, Kaasalainen S, et al. (2010) Tree species classification from fused active hyperspectral reflectance and LIDAR measurements. Forest Ecology and Management 260(10): 1843-1852. Suomalainen J, Hakala T, Kaartinen H, Ráikkónen E and Kaasalainen S (2011) Demonstration of a virtual active hyperspectral LiDAR in automated point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing. Thomas V, McCaughey J, Treitz P, Finch D, Noland T and Rich L (2009) Spatial modelling of photosynthesis for a boreal mixedwood forest by integrating micrometeorological, lidar and hyperspectral remote sensing data. Agricultural and Forest Meteorology 149(3-4): 639-654. Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8(2): 127-150.

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