[3] [3] Kattenborn T, Maack J, Fassnacht F, et al. Mapping forest biomass from space Fusion of hyperspectral EO1-hyperion data and Tandem-X and WorldView-2 canopy height models［J］. International Journal of Applied Earth Observation and Geoinformation, 2015, 35: 359367.

[4] [4] Marshall M, Thenkabail P. Advantage of hyperspectral EO1 Hyperion over multispectral IKONOS, GeoEye1, WorldView2, Landsat ETM plus, and MODIS vegetation indices in crop biomass estimation［J］. Isprs Journal of Photogrammetry and Remote Sensing, 2015, 108: 205218.

[5] [5] Folkman M, Pearlman J, Liao L，et al. EO1 Hyperion hyperspectral imager design, development, characterization, and calibration［C］. SPIE, 2001, 4151: 4051.

[8] [8] Murchie S, Arvidson R, Bedin P, et al. Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) on Mars Reconnaissance Orbiter (MRO)［J］. Journal of Geophysical Research Atmospheres, 2007, 112(E5): 431433.

[9] [9] Straight S D, Doolittle C, Cooley T, et al．Tactical Satellite3 Mission Overview and Initial Lessons Learned［R］． Kirtland: Air Force Research Laboratory Space Vehicles Directorate, 2013．

[10] [10] Lucke R L, Corson M, McGlothlin N R, et al. The Hyperspectral Imager for the Coastal Ocean (HICO): fast build for the ISS［J］. SPIE， 2010， 7813: 78130D．

[11] [11] Lucke R L, Corson M, McGlothlin N R, et al. Hyperspectral imager for the coastal ocean: instrument description and first images［J］. Applied Optics, 2011, 50(11): 15011516.

[12] [12] Curtiss O. Davis. The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview［DB/OL］. https://www.ioccg.org/sensors/Davis_HICO_IOCCG15.pdf, 2011.

[13] [13] Lee C M, Cable M L, Hook S J, et al. An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities［J］. Remote Sensing of Environment, 2015, 167: 619.

[15] [15] The European Space Agency. MERIS Overview［DB/OL］.https://earth.esa.int/eogateway/instruments/meris/description, 2021.

[18] [18] Pan D L, Wang D F, He X Q. Study on Marine Application Potentiality of CMODIS/SZ3［J］. Engineering Sciences, 2004, 2(2): 15.

[24] [24] Dong S Y, Sun G Y, Du Y M, et al. Image Quality Assessment for Visual and Infrared Multi-spectral Imager of Gaofen5［J］. Remote Sensing Technology and Application, 2020, 35(2): 381388.