Three decades of hyperspectral remote sensing of the Earth: A personal view

被引:572
|
作者
Goetz, Alexander F. H. [1 ,2 ]
机构
[1] Univ Colorado, CIRES, Ctr Study Earth Space, Boulder, CO 80309 USA
[2] Analyt Spectral Devices Inc, Boulder, CO 80301 USA
关键词
Imaging spectrometry; Hyperspectral imaging; Spectroscopy; Earth observations; Remote sensing applications; Sensor development; Historical perspective; AIRBORNE IMAGING SPECTROMETER; CUPRITE MINING DISTRICT; AVIRIS DATA; WATER-VAPOR; REFLECTANCE SPECTROSCOPY; GRAIN-SIZE; MU-M; VEGETATION; RESOLUTION; IMAGES;
D O I
10.1016/j.rse.2007.12.014
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Imaging spectrometry, or hyperspectral imaging as it is now called, has had a long history of development and measured acceptance by the scientific community. The impetus for the development of imaging spectrometry came in the 1970's from field spectral measurements in support of Landsat-1 data analysis. Progress required developments in electronics, computing and software throughout the 1980's and into the 1990's before a larger segment of the Earth observation community would embrace the technique. The hardware development took place at NASA/JPL beginning with the Airborne Imaging Spectrometer (AIS) in 1983. The airborne visible/infrared imaging spectrometer (AVIRIS) followed in 1987 and has proved to this day to be the prime provider of high-quality hyperspectral data for the scientific community. Other critical elements for the exploitation of this data source have been software, primarily ENVI, and field spectrometers such as those produced by Analytical Spectral Devices Inc. In addition, atmospheric correction algorithms have made it possible to reduce sensor radiance to spectral reflectance, the quantity required in all remote sensing applications. The applications cover the gambit of disciplines in Earth observations of the land and water. The further exploitation of hyperspectral imaging on a global basis awaits the launch of a high performance imaging spectrometer and more researchers with sufficient resources to take advantage of the vast information content inherent in the data. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:S5 / S16
页数:12
相关论文
共 50 条
  • [41] Three decades of pastoralist settlement dynamics in the Ethiopian Omo Delta based on remote sensing data
    Amos, Samira
    Mengistu, Sileshi
    Kleinschroth, Fritz
    [J]. HUMAN ECOLOGY, 2021, 49 (05) : 525 - 537
  • [42] THREE DECADES OF REMOTE SENSING ANALYSIS ON FOREST DECLINE RELATED TO CLIMATE CHANGE: A BIBLIOMETRIC STUDY
    Gallardo-Salazar, Jose Luis
    Saenz-Romero, Cuauhtemoc
    Lindig-Cisneros, Roberto
    Lopez-Toledo, Leonel
    Blanco-Garcia, Arnulfo
    Endara-Agramont, Angel R.
    [J]. CUADERNOS DE INVESTIGACION GEOGRAFICA, 2023, 49 (01): : 69 - 87
  • [43] Three decades of pastoralist settlement dynamics in the Ethiopian Omo Delta based on remote sensing data
    Samira Amos
    Sileshi Mengistu
    Fritz Kleinschroth
    [J]. Human Ecology, 2021, 49 : 525 - 537
  • [44] Special issue on hyperspectral remote sensing - Foreword
    Staenz, Karl
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2008, 34 : III - III
  • [45] Hyperspectral remote sensing for light pollution monitoring
    Barducci, Alessandro
    Benvenuti, Marco
    Bonora, Laura
    Castagnoli, Francesco
    Guzzi, Donatella
    Marcoionni, Paolo
    Pippi, Ivan
    [J]. ANNALS OF GEOPHYSICS, 2006, 49 (01) : 305 - 310
  • [46] A DBN for Hyperspectral Remote Sensing Image Classification
    Tong Guofeng
    Li Yong
    Cao Lihao
    Jin Chen
    [J]. PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 1757 - 1762
  • [47] Development and application of hyperspectral remote sensing in China
    Tong, QX
    Zheng, LF
    Xue, YQ
    [J]. HYPERSPECTRAL REMOTE SENSING AND APPLICATIONS, 1998, 3502 : 2 - 9
  • [48] The development of Chinese hyperspectral remote sensing technology
    Wang, JY
    Shu, R
    Xue, YQ
    [J]. INFRARED COMPONENTS AND THEIR APPLICATIONS, 2005, 5640 : 358 - 367
  • [49] Consideration of smoothing techniques for hyperspectral remote sensing
    Vaiphasa, C
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2006, 60 (02) : 91 - 99
  • [50] Hyperspectral Image Analysis techniques on Remote Sensing
    Iyer, R. Priyanka
    Raveendran, Archanaa
    Bhuvana, S. K. Thai
    Kavitha, R.
    [J]. 2017 IEEE 3RD INTERNATIONAL CONFERENCE ON SENSING, SIGNAL PROCESSING AND SECURITY (ICSSS), 2017, : 392 - 396