LandRS: a virtual constellation simulator for insar, lidar waveform and stereo imagery over mountainous forest landscapes : доклад, тезисы доклада

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Год издания: 2019

Ключевые слова: InSAR; stereo; lidar; waveform; LandSAR; LandStereo; LandLidar; forest; biomass; AGB RADAR BACKSCATTER MODEL; MICROWAVE BACKSCATTERING; L-BAND #331: The accurate mapping of forest AGB using remote sensing dataset is hindered by the saturation problem and the terrain effects. Direct measurement of forest spatial structures and terrains should be the solutions of these problems. However, the information of forest vertical structure and ground surface terrain are always mixed together in remote sensing datasets which can directly measure the elevations of ground objects. One potential way is to separate them is to synthesize InSAR, stereo imagery and lidar waveform. Theoretical model is needed for this effort. In this study, a unified model was presented, which can be used to simulate InSAR, stereo imagery and lidar waveforms over mountainous forest landscapes., waveform, stereo, lidar, LandStereo, LandSAR, LandLidar, InSAR, forest, biomass, AGB

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Издание

Журнал: 2019 IEEE International geoscience and remote sensing symposium (IGARSS 2019)

Номера страниц: 4892-4895

ISSN журнала: 21536996

Место издания: New York

Издатель: IEEE

Авторы

  • Ni Wenjian (Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China)
  • Sun Guoqing (Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA)
  • Ranson Kenneth Jon (NASA, Biospher Sci Lab, Goddard Space Flight Ctr, Code 618, Greenbelt, MD 20771 USA)
  • Montesano Paul (NASA, Biospher Sci Lab, Goddard Space Flight Ctr, Code 618, Greenbelt, MD 20771 USA; Sci Syst & Applicat Inc, 10210 Greenbelt Rd, Lanham, MD 20706 USA)
  • Liu Qinhuo (Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China)
  • Li Zengyuan (Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China)
  • Kharuk Vyacheslav I. (Siberian Fed Univ, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia)
  • Zhang Zhiyu (Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China)

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