Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Wout Verhoef"'
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3914 (2020)
Vegetation radiative transfer models (RTMs) are important tools to understand biosphere-atmosphere interactions. The four-stream theory has been successfully applied to solve the radiative transfer problems in homogeneous canopies for both incident s
Externí odkaz:
https://doaj.org/article/e2d6fe2dcf0345c794620e2865e2bea0
Autor:
Feng Zhao, Yiqing Guo, Yanbo Huang, Wout Verhoef, Christiaan van der Tol, Bo Dai, Liangyun Liu, Huijie Zhao, Guang Liu
Publikováno v:
Remote Sensing, Vol 7, Iss 10, Pp 14179-14199 (2015)
In this study, backward and forward fluorescence radiance within the emission spectrum of 640–850 nm were measured for leaves of soybean, cotton, peanut and wheat using a hyperspectral spectroradiometer coupled with an integration sphere. Fluoresce
Externí odkaz:
https://doaj.org/article/a284a1fde8644adb9d7e362556ab7cc8
Publikováno v:
Remote Sensing, Vol 7, Iss 6, Pp 8019-8044 (2015)
Topography affects the fraction of direct and diffuse radiation received on a pixel and changes the sun–target–sensor geometry, resulting in variations in the observed radiance. Retrieval of surface–atmosphere properties from top of atmosphere
Externí odkaz:
https://doaj.org/article/6588921d1c4746b9940a61a0bdf8a4be
Publikováno v:
Remote Sensing, Vol 6, Iss 10, Pp 10171-10192 (2014)
A method for canopy Fluorescence Spectrum Reconstruction (FSR) is proposed in this study, which can be used to retrieve the solar-induced canopy fluorescence spectrum over the whole chlorophyll fluorescence emission region from 640–850 nm. Firstly,
Externí odkaz:
https://doaj.org/article/2ae0613fed404d9aa21c08cddb6cb8f7
Publikováno v:
Remote Sensing, Vol 11, Iss 22, p 2681 (2019)
Look-up table (LUT)-based canopy reflectance models are considered robust methods to estimate vegetation attributes from remotely sensed data. However, the LUT inversion approach is sensitive to measurements and model uncertainties, which raise the i
Externí odkaz:
https://doaj.org/article/0dcc448a461c469789e026961fd24589
Publikováno v:
Sensors, Vol 9, Iss 3, Pp 1409-1422 (2009)
The potential for directional optical and thermal imagery is very large. Field measurements have been performed with a goniometer on which thermal instruments were attached. In order to reduce dynamical effects the goniometer was adjusted to run in a
Externí odkaz:
https://doaj.org/article/76bddd452c7b4e8192cbf9def296ba28
Autor:
Feng Zhao, Weiwei Ma, Philipp Kohler, Xinxin Ma, Haochen Sun, Wout Verhoef, Jun Zhao, Yanbo Huang, Zhenjiang Li, Adib Khondoker Ratul
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d98183488e5966c467474eff3b55f804
https://doi.org/10.1109/tgrs.2022.3162726
https://doi.org/10.1109/tgrs.2022.3162726
Publikováno v:
Geoscientific Model Development, 14(7), 4697-4712. Copernicus
Geoscientific Model Development, Vol 14, Pp 4697-4712 (2021)
Geoscientific Model Development, Vol 14, Pp 4697-4712 (2021)
The Soil Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) model aims at linking satellite observations in the visible, infrared, and thermal domains with land surface processes in a physically based manner, and quantifying the microclim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41899bc6204ca3b51dcd4ea6a63bea25
https://doi.org/10.5194/gmd-14-4697-2021
https://doi.org/10.5194/gmd-14-4697-2021
Autor:
Feng Zhao, Zhenjiang Li, Wout Verhoef, Chongrui Fan, Hexuan Luan, Tiangang Yin, Jian Zhang, Zhunqiao Liu, Chiming Tong, Yunfei Bao
Publikováno v:
Remote sensing of environment, 277:113075, 1-17. Elsevier
Recent advances in instruments and retrieval methods enable measurements of solar-induced chlorophyll fluorescence (SIF) across a wide range of scales. Radiative transfer (RT) models for simulating scattering and (re-)absorption of SIF provide a powe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::559f818b96010a8af011f4158a73f131
https://doi.org/10.1016/j.rse.2022.113075
https://doi.org/10.1016/j.rse.2022.113075
Publikováno v:
Remote sensing of environment, 256:112328, 1-17. Elsevier
Estimation of essential vegetation properties from remote sensing is crucial for a quantitative understanding of the Earth system. Ill-posedness of the model inversion problem leads to multiple interpretations of one satellite observation, and using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36a9351ea76ac60d6530f5bdb6d08d55
https://research.utwente.nl/en/publications/52c23341-0e32-4ce3-8bfb-16069294bf30
https://research.utwente.nl/en/publications/52c23341-0e32-4ce3-8bfb-16069294bf30
