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Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China

Field-measured spectra are critical for remote sensing physical modelling, retrieval of structural, biophysical, and biochemical parameters, and other practical applications. We present a library of field spectra, which includes (1) portable field spectroradiometer measurements of vegetation, soil,...

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Detalles Bibliográficos
Autores principales: Wen, Jianguang, Wu, Xiaodan, Xiao, Qing, Liu, Qinhuo, Ma, Mingguo, Zheng, Xingming, Qu, Yonghua, Jin, Rui, You, DongQin, Tang, Yong, Lin, Xingwen, Yu, Wenpin, Gong, Baochang, Yang, Jian, Han, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239449/
https://www.ncbi.nlm.nih.gov/pubmed/37270574
http://dx.doi.org/10.1038/s41597-023-02265-1
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author Wen, Jianguang
Wu, Xiaodan
Xiao, Qing
Liu, Qinhuo
Ma, Mingguo
Zheng, Xingming
Qu, Yonghua
Jin, Rui
You, DongQin
Tang, Yong
Lin, Xingwen
Yu, Wenpin
Gong, Baochang
Yang, Jian
Han, Yuan
author_facet Wen, Jianguang
Wu, Xiaodan
Xiao, Qing
Liu, Qinhuo
Ma, Mingguo
Zheng, Xingming
Qu, Yonghua
Jin, Rui
You, DongQin
Tang, Yong
Lin, Xingwen
Yu, Wenpin
Gong, Baochang
Yang, Jian
Han, Yuan
author_sort Wen, Jianguang
collection PubMed
description Field-measured spectra are critical for remote sensing physical modelling, retrieval of structural, biophysical, and biochemical parameters, and other practical applications. We present a library of field spectra, which includes (1) portable field spectroradiometer measurements of vegetation, soil, and snow in the full-wave band, (2) multi-angle spectra measurements of desert vegetation, chernozems, and snow with consideration of the anisotropic reflectance of land surface, (3) multi-scale spectra measurements of leaf and canopy of different vegetation cover surfaces, and (4) continuous reflectance spectra time-series data revealing vegetation growth dynamics of maize, rice, wheat, rape, grassland, and so on. To the best of our knowledge, this library is unique in simultaneously providing full-band, multi-angle, multi-scale spectral measurements of the main surface elements of China covering a large spatial extent over a 10-year period. Furthermore, the 101 by 101 satellite pixels of Landsat ETM/OLI and MODIS surface reflectance centered around the field site were extracted, providing a vital linkage between ground measurements and satellite observations. The code language used for this work is Matlab 2016a.
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spelling pubmed-102394492023-06-05 Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China Wen, Jianguang Wu, Xiaodan Xiao, Qing Liu, Qinhuo Ma, Mingguo Zheng, Xingming Qu, Yonghua Jin, Rui You, DongQin Tang, Yong Lin, Xingwen Yu, Wenpin Gong, Baochang Yang, Jian Han, Yuan Sci Data Data Descriptor Field-measured spectra are critical for remote sensing physical modelling, retrieval of structural, biophysical, and biochemical parameters, and other practical applications. We present a library of field spectra, which includes (1) portable field spectroradiometer measurements of vegetation, soil, and snow in the full-wave band, (2) multi-angle spectra measurements of desert vegetation, chernozems, and snow with consideration of the anisotropic reflectance of land surface, (3) multi-scale spectra measurements of leaf and canopy of different vegetation cover surfaces, and (4) continuous reflectance spectra time-series data revealing vegetation growth dynamics of maize, rice, wheat, rape, grassland, and so on. To the best of our knowledge, this library is unique in simultaneously providing full-band, multi-angle, multi-scale spectral measurements of the main surface elements of China covering a large spatial extent over a 10-year period. Furthermore, the 101 by 101 satellite pixels of Landsat ETM/OLI and MODIS surface reflectance centered around the field site were extracted, providing a vital linkage between ground measurements and satellite observations. The code language used for this work is Matlab 2016a. Nature Publishing Group UK 2023-06-03 /pmc/articles/PMC10239449/ /pubmed/37270574 http://dx.doi.org/10.1038/s41597-023-02265-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Wen, Jianguang
Wu, Xiaodan
Xiao, Qing
Liu, Qinhuo
Ma, Mingguo
Zheng, Xingming
Qu, Yonghua
Jin, Rui
You, DongQin
Tang, Yong
Lin, Xingwen
Yu, Wenpin
Gong, Baochang
Yang, Jian
Han, Yuan
Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China
title Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China
title_full Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China
title_fullStr Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China
title_full_unstemmed Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China
title_short Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China
title_sort full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in china
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239449/
https://www.ncbi.nlm.nih.gov/pubmed/37270574
http://dx.doi.org/10.1038/s41597-023-02265-1
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