Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Canopy Height Model (CHM)"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 50-61 (2022)
Recently, remote sensing (RS) technology are becoming an increasingly important technology in estimating forest growing stem volume (GSV), and the saturation issue of spectral variables from various optical sensors severely hinders the improvement of
Externí odkaz:
https://doaj.org/article/43372cd0644c49cfa2a3fd2435e3feb5
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Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2596 (2023)
The technology of remote sensing-assisted tree species classification is increasingly developing, but the rapid refinement of tree species classification on a large scale is still challenging. As one of the treasures of ecological resources in China,
Externí odkaz:
https://doaj.org/article/66453d0a7b7f4e94b33b247291c76c0b
Autor:
Yu Tian, Zhengfu Bian, Shaogang Lei, Chuning Ji, Yibo Zhao, Shubi Zhang, Lei Duan, Vladimir Sedlak
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12187-12198 (2021)
This study addressed the problems of difficult parameter selection of ground point filtering algorithm, slow speed, and susceptibility to wrong classification points of the traditional interpolation algorithm in extracting canopy height model from de
Externí odkaz:
https://doaj.org/article/b86709d96808478c8dec9be5c49c28c1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1055-1067 (2020)
Accurate individual tree segmentation is an important basis for the subsequent calculation and analysis of forestry parameters. However, rasterized canopy height model based methods often suffer from 3-D information loss due to the interpolation oper
Externí odkaz:
https://doaj.org/article/11d5e1d506ef416480a87e0c1410cdda
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 166 (2022)
The interferometric synthetic aperture radar (InSAR) technique based on time–frequency (TF) analysis has great potential for mapping the forest canopy height model (CHM) at regional and global scales, as it benefits from the additional InSAR observ
Externí odkaz:
https://doaj.org/article/dbc589a03ef94a31b09310165cc2fd9c
Akademický článek
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Autor:
Xuewei Zhang, Kefei Zhang, Suqin Wu, Hongtao Shi, Yaqin Sun, Yindi Zhao, Erjiang Fu, Shuo Chen, Chaofa Bian, Wei Ban
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5087 (2022)
The leaf area index (LAI) is critical for the respiration, transpiration, and photosynthesis of crops. Color indices (CIs) and vegetation indices (VIs) extracted from unmanned aerial vehicle (UAV) imagery have been widely applied to the monitoring of
Externí odkaz:
https://doaj.org/article/d7973141a35549a182d4804028d242a9
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2867 (2022)
Guayule (Parthenium argentatum Gray) is a perennial desert shrub currently under investigation as a viable commercial alternative to the Pará rubber tree (Hevea brasiliensis), the traditional source of natural rubber. Previous studies on guayule hav
Externí odkaz:
https://doaj.org/article/2f2e442804e94c3382f7568c321032c1