Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yaxiong Fan"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17876-17889 (2024)
Accurate estimation of forest aboveground biomass (AGB) is crucial for research on terrestrial carbon cycling and global climate change. In this study, we introduce an improved approach for estimating forest AGB combining P-band and X-band interferom
Externí odkaz:
https://doaj.org/article/644e9d688a4c4999a75d67dbe824cabe
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1909 (2023)
Radiometric terrain correction (RTC) is an important preprocessing step for synthetic aperture radar (SAR) data application in mountainous areas. At present, the RTC processing of SAR depends on the Range Doppler (RD) positioning model. However, the
Externí odkaz:
https://doaj.org/article/cc696a297eff4b3f9d26098f96076c93
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3070 (2022)
Forest height is an essential parameter used to derive important information about forest ecosystems, such as forest above-ground biomass. In this article, a forest height estimation approach combining P-band and X-band interferometric synthetic aper
Externí odkaz:
https://doaj.org/article/e821d0c15bad4fb6849358bf2210ca78
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 595 (2022)
The radiometric terrain correction (RTC) is an essential processing step for supervised classification applications of polarimetric synthetic aperture radar (PolSAR) over mountainous areas. However, the current angular variation effect (AVE) correcti
Externí odkaz:
https://doaj.org/article/b4ddf9a3a66f40cd97fda8be8362dc20
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-18
In this article, a multilevel model (MLM) for forest height inversion is introduced and investigated using X-band single-pass interferometric synthetic aperture radar (InSAR) coherence data. Compared with the two-level model (TLM), as a generalized m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b66df1ac77ac8554957e623239cb3d9
https://doi.org/10.1109/tgrs.2021.3072125
https://doi.org/10.1109/tgrs.2021.3072125
Publikováno v:
IGARSS
In this study, a simple semi-empirical model based on random volume over ground model framework was used to estimate forest canopy height through single-pass TanDEM-X interferometric coherence data. Many studies have showed that SINC model could have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54339c56970320c1a00eafe55e9637e2
https://doi.org/10.1109/igarss.2018.8518695
https://doi.org/10.1109/igarss.2018.8518695
Publikováno v:
IGARSS
In this paper, we studied the synergetic estimation approach of forest above ground biomass (AGB) based on the multidimensional SAR data (dual antenna X-band InSAR and P-band PolSAR data) that acquired by air-borne CASMSAR system of China. Firstly, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1012fed6b6a25b66a4e4b9cc4831abcc
https://doi.org/10.1109/igarss.2018.8518175
https://doi.org/10.1109/igarss.2018.8518175
Publikováno v:
IGARSS
In this paper, we focus on the topographic effects of InSAR interferometric land use (ILU) images and a corresponding terrain correction method is proposed. Firstly, Effective scattering area correction and angular variation effect correction are per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b353be88629935c62b297dfd996f83c2
https://doi.org/10.1109/igarss.2017.8126898
https://doi.org/10.1109/igarss.2017.8126898
Autor:
Zhao, Lei1,2 (AUTHOR) zhaolei@ifrit.ac.cn, Chen, Erxue1,2 (AUTHOR) chenerx@ifrit.ac.cn, Li, Zengyuan1,2 (AUTHOR), Fan, Yaxiong1,2 (AUTHOR), Xu, Kunpeng1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Apr2023, Vol. 15 Issue 7, p1909. 16p.
Autor:
Xu, Kunpeng1,2 (AUTHOR) xukp@ifrit.ac.cn, Zhao, Lei1,2 (AUTHOR) chenerx@ifrit.ac.cn, Chen, Erxue1,2 (AUTHOR) zengyuan.li@ifrit.ac.cn, Li, Kun3 (AUTHOR) likun@cast.casc, Liu, Dacheng4 (AUTHOR) dcliu@mail.ie.ac.cn, Li, Tao5 (AUTHOR) lit@lasac.cn, Li, Zengyuan1,2 (AUTHOR) fanyx@ifrit.ac.cn, Fan, Yaxiong1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Jul2022, Vol. 14 Issue 13, p3070-N.PAG. 25p.