publication . Other literature type . Article . 2018

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

Julie Transon; Raphaël d’Andrimont; Alexandre Maugnard; Pierre Defourny;
  • Published: 23 Jan 2018
  • Publisher: MDPI AG
Abstract
In the last few decades, researchers have developed a plethora of hyperspectral Earth Observation (EO) remote sensing techniques, analysis and applications. While hyperspectral exploratory sensors are demonstrating their potential, Sentinel-2 multispectral satellite remote sensing is now providing free, open, global and systematic high resolution visible and infrared imagery at a short revisit time. Its recent launch suggests potential synergies between multi- and hyper-spectral data. This study, therefore, reviews 20 years of research and applications in satellite hyperspectral remote sensing through the analysis of Earth observation hyperspectral sensors’ publ...
Subjects
free text keywords: hyperspectral imaging, hyperspectral applications, Hyperion, EnMAP, HISUI, PRISMA, TianGong-1, Shalom, HyspIRI, HypXIM, Sentinel-2, Earth observation, Science, Q, General Earth and Planetary Sciences, Image resolution, Remote sensing, Geology, Infrared imagery, Satellite, Multispectral image, Vegetation
205 references, page 1 of 14

European Space Agency (ESA). Earth Observation History on Technology Introduction; Technical Report; ESA: Paris, France, 2017.

Review of EnMAP Scientific Potential and Preparation Phase. In Proceedings of the 6th EARSeL SIG IS Workshop, Tel Aviv, Israel, 16-19 March 2009; pp. 1-5.

Lu, P.; Wang, L.; Niu, Z.; Li, L.; Zhang, W. Prediction of Soil Properties Using Laboratory VIS-NIR Spectroscopy and Hyperion Imagery. J. Geochem. Explor. 2013, 132, 26-33.

Wang, J.; He, T.; Lv, C.; Chen, Y.; Jian, W. Mapping Soil Organic Matter Based on Land Degradation Spectral Response Units Using Hyperion Images. Int. J. Appl. Earth Obs. Geoinform. 2010, 12, S171-S180.

Gomez, C.; Viscarra Rossel, R.A.; McBratney, A.B. Soil Organic Carbon Prediction by Hyperspectral Remote Sensing and Field VIS-NIR Spectroscopy: An Australian Case Study. Geoderma 2008, 146, 403-411. [OpenAIRE]

Steinberg, A.; Chabrillat, S.; Stevens, A.; Segl, K.; Foerster, S. Prediction of Common Surface Soil Properties Based on Vis-NIR Airborne and Simulated EnMAP Imaging Spectroscopy Data: Prediction Accuracy and Influence of Spatial Resolution. Remote Sens. 2016, 8, 613. [OpenAIRE]

Kruse, F.A.; Boardman, J.W.; Huntington, J.F. Comparison of Airborne Hyperspectral Data and EO-1 Hyperion for Mineral Mapping. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1388-1400.

Kruse, F.A. Comparison of AVIRIS and Hyperion for hyperspectral mineral mapping. In Proceedings of the 11th JPL Airborne Geoscience Workshop, Pasadena, CA, USA, 4-8 March 2002; pp. 4-8.

Guanter, L.; Kaufmann, H.; Foerster, S.; Brosinsky, A.; Wulf, H.; Bochow, M.; Boesche, N.; Brell, M.; Buddenbaum, H.; Chabrillat, S.; et al. EnMAP Science Plan-Environmental Mapping and Analysis Program; Technical Report; GFZ Data Services: Potsdam, Germany, 2016.

Govender, M.; Chetty, K.; Bulcock, H. A Review of Hyperspectral Remote Sensing and its Application in Vegetation and Water Resource Studies. Water SA 2007, 33, 145-151.

Van der Meer, F.D.; van der Werff, H.M.A.; van Ruitenbeek, F.J.A.; Hecker, C.A.; Bakker, W.H.; Noomen, M.F.; van der Meijde, M.; Carranza, E.J.M.; de Smeth, J.B.; Woldai, T. Multi- and Hyperspectral Geologic Remote Sensing: A Review. Int. J. Appl. Earth Obs. Geoinform. 2012, 14, 112-128.

Yang, C.C.M. Hyperspectral imagery for mapping yield for precision agriculture. In Hyperspectral Imaging Technology in Food and Agriculture, 1st ed.; Park, B., Lu, R., Eds.; Springer Science & Business Media: London, UK, 2015; Chapter 12, pp. 289-292.

Folkman, M.; Pearlman, J.; Lushalan, L.; Jarecke, P. EO-1/Hyperion hyperspectral imager design, development, characterization, and calibration. Proc. SPIE 2001, 4151, 40-51. [OpenAIRE]

14. Labate, D.; Ceccherini, M.; Cisbani, A.; De Cosmo, V.; Galeazzi, C.; Giunti, L.; Melozzi, M.; Pieraccini, S.; Stagi, M. The PRISMA Payload Optomechanical Design, a High Performance Instrument for a New Hyperspectral Mission. Acta Astronaut. 2009, 65, 1429-1436. [OpenAIRE]

15. Kashimura, O.; Hirose, K.; Tachikawa, T.; Tanii, J. Hyperspectral Space-Borne Sensor HISUI and its Data Application. In Proceedings of the 34th Asian Conference on Remote Sensing, Bali, Indonesia, 20-24 October 2013.

205 references, page 1 of 14
Abstract
In the last few decades, researchers have developed a plethora of hyperspectral Earth Observation (EO) remote sensing techniques, analysis and applications. While hyperspectral exploratory sensors are demonstrating their potential, Sentinel-2 multispectral satellite remote sensing is now providing free, open, global and systematic high resolution visible and infrared imagery at a short revisit time. Its recent launch suggests potential synergies between multi- and hyper-spectral data. This study, therefore, reviews 20 years of research and applications in satellite hyperspectral remote sensing through the analysis of Earth observation hyperspectral sensors’ publ...
Subjects
free text keywords: hyperspectral imaging, hyperspectral applications, Hyperion, EnMAP, HISUI, PRISMA, TianGong-1, Shalom, HyspIRI, HypXIM, Sentinel-2, Earth observation, Science, Q, General Earth and Planetary Sciences, Image resolution, Remote sensing, Geology, Infrared imagery, Satellite, Multispectral image, Vegetation
205 references, page 1 of 14

European Space Agency (ESA). Earth Observation History on Technology Introduction; Technical Report; ESA: Paris, France, 2017.

Review of EnMAP Scientific Potential and Preparation Phase. In Proceedings of the 6th EARSeL SIG IS Workshop, Tel Aviv, Israel, 16-19 March 2009; pp. 1-5.

Lu, P.; Wang, L.; Niu, Z.; Li, L.; Zhang, W. Prediction of Soil Properties Using Laboratory VIS-NIR Spectroscopy and Hyperion Imagery. J. Geochem. Explor. 2013, 132, 26-33.

Wang, J.; He, T.; Lv, C.; Chen, Y.; Jian, W. Mapping Soil Organic Matter Based on Land Degradation Spectral Response Units Using Hyperion Images. Int. J. Appl. Earth Obs. Geoinform. 2010, 12, S171-S180.

Gomez, C.; Viscarra Rossel, R.A.; McBratney, A.B. Soil Organic Carbon Prediction by Hyperspectral Remote Sensing and Field VIS-NIR Spectroscopy: An Australian Case Study. Geoderma 2008, 146, 403-411. [OpenAIRE]

Steinberg, A.; Chabrillat, S.; Stevens, A.; Segl, K.; Foerster, S. Prediction of Common Surface Soil Properties Based on Vis-NIR Airborne and Simulated EnMAP Imaging Spectroscopy Data: Prediction Accuracy and Influence of Spatial Resolution. Remote Sens. 2016, 8, 613. [OpenAIRE]

Kruse, F.A.; Boardman, J.W.; Huntington, J.F. Comparison of Airborne Hyperspectral Data and EO-1 Hyperion for Mineral Mapping. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1388-1400.

Kruse, F.A. Comparison of AVIRIS and Hyperion for hyperspectral mineral mapping. In Proceedings of the 11th JPL Airborne Geoscience Workshop, Pasadena, CA, USA, 4-8 March 2002; pp. 4-8.

Guanter, L.; Kaufmann, H.; Foerster, S.; Brosinsky, A.; Wulf, H.; Bochow, M.; Boesche, N.; Brell, M.; Buddenbaum, H.; Chabrillat, S.; et al. EnMAP Science Plan-Environmental Mapping and Analysis Program; Technical Report; GFZ Data Services: Potsdam, Germany, 2016.

Govender, M.; Chetty, K.; Bulcock, H. A Review of Hyperspectral Remote Sensing and its Application in Vegetation and Water Resource Studies. Water SA 2007, 33, 145-151.

Van der Meer, F.D.; van der Werff, H.M.A.; van Ruitenbeek, F.J.A.; Hecker, C.A.; Bakker, W.H.; Noomen, M.F.; van der Meijde, M.; Carranza, E.J.M.; de Smeth, J.B.; Woldai, T. Multi- and Hyperspectral Geologic Remote Sensing: A Review. Int. J. Appl. Earth Obs. Geoinform. 2012, 14, 112-128.

Yang, C.C.M. Hyperspectral imagery for mapping yield for precision agriculture. In Hyperspectral Imaging Technology in Food and Agriculture, 1st ed.; Park, B., Lu, R., Eds.; Springer Science & Business Media: London, UK, 2015; Chapter 12, pp. 289-292.

Folkman, M.; Pearlman, J.; Lushalan, L.; Jarecke, P. EO-1/Hyperion hyperspectral imager design, development, characterization, and calibration. Proc. SPIE 2001, 4151, 40-51. [OpenAIRE]

14. Labate, D.; Ceccherini, M.; Cisbani, A.; De Cosmo, V.; Galeazzi, C.; Giunti, L.; Melozzi, M.; Pieraccini, S.; Stagi, M. The PRISMA Payload Optomechanical Design, a High Performance Instrument for a New Hyperspectral Mission. Acta Astronaut. 2009, 65, 1429-1436. [OpenAIRE]

15. Kashimura, O.; Hirose, K.; Tachikawa, T.; Tanii, J. Hyperspectral Space-Borne Sensor HISUI and its Data Application. In Proceedings of the 34th Asian Conference on Remote Sensing, Bali, Indonesia, 20-24 October 2013.

205 references, page 1 of 14
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publication . Other literature type . Article . 2018

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

Julie Transon; Raphaël d’Andrimont; Alexandre Maugnard; Pierre Defourny;