Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

/ W. Ni, G. Sun, K. J. Ranson [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS) : Institute of Electrical and Electronics Engineers Inc., 2019. - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 (28 July 2019 through 2 August 2019, ) Conference code: 154792. - P4892-4895, DOI 10.1109/IGARSS.2019.8898106 . -
Аннотация: 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. © 2019 IEEE.

Scopus

Держатели документа:
Institute of Remote Sensing Applications of Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing, 100101, China
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, United States
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
Science Systems and Applications, Inc., 10210 Greenbelt Road, Lanham, MD 20706, United States
Institute of Forest Resource Information Technique, Chinese Academy of Forestry, Beijing, 100091, China
VN Sukachev Institute of Forest, Siberian Federal University, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Ni, W.; Sun, G.; Ranson, K. J.; Montesano, P.; Liu, Q.; Li, Z.; Kharuk, V. I.; Zhang, Z.

/ W. J. Ni, G. Q. Sun, K. J. Ranson [et al.] // 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS : IEEE, 2019. - IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (JUL 28-AUG 02, 2019, Yokohama, JAPAN). - P4892-4895. - (IEEE International Symposium on Geoscience and Remote Sensing IGARSS). - Cited References:15. - This study is sponsored by National Key R&D Program of China (2017YFA0603002), National Natural Science Foundation of China (Grant No. 41471311), National Basic Research Program of China (Grant No. 2013CB733401, 2013CB733404). . - РУБ Geosciences, Multidisciplinary + Remote Sensing

Аннотация: 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.

WOS

Держатели документа:
Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
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.
Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.
Siberian Fed Univ, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Ni, Wenjian; Sun, Guoqing; Ranson, Kenneth Jon; Montesano, Paul; Liu, Qinhuo; Li, Zengyuan; Kharuk, Vyacheslav I.; Zhang, Zhiyu; National Key R&D Program of China [2017YFA0603002]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [41471311]; National Basic Research Program of ChinaNational Basic Research Program of China [2013CB733401, 2013CB733404]