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Tree Species Classification Using Plant Functional Traits and Leaf Spectral Properties along the Vertical Canopy Position
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 24
作者:
Zhang, Yicen
;
Wang, Junjie
;
Wu, Zhifeng
;
Lian, Juyu
;
Ye, Wanhui
;
Yu, Fangyuan
Adobe PDF(2861Kb)
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浏览/下载:44/0
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提交时间:2024/03/07
species classification
canopy layer
leaf hyperspectral data
data fusion
evergreen broad-leaved forest
Extending a canopy reflectance model for mangroves: A case study in south east queensland, Australia
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2022, 卷号: 316
作者:
Niu, Chunyue
;
Woodgate, William
;
Phinn, Stuart R.
;
Roelfsema, Chris M.
;
Su, Yanjun
Adobe PDF(11540Kb)
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浏览/下载:46/0
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提交时间:2024/03/07
Canopy reflectance modelling
Mangroves
Radiative transfer model
Fractional cover
Woody material
Hyperspectral characteristics and leaf area index monitoring of rice (Oryza sativa L.) under carbon dioxide concentration enrichment
期刊论文
SPECTROSCOPY LETTERS, 2021, 卷号: 54, 期号: 3, 页码: 231-243
作者:
Liu, Chao
;
Hu, Zhenghua
;
Kong, Rui
;
Yu, Lingfei
;
Wang, Yuanyuan
;
Chen, Shutao
;
Zhang, Xuesong
Adobe PDF(2003Kb)
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浏览/下载:122/0
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提交时间:2023/02/24
Carbon dioxide enrichment
inversion model
leaf area index
rice
spectral parameter
Hyperspectral characteristics and inversion model estimation of winter wheat under different elevated CO2 concentrations
期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 卷号: 42, 期号: 3, 页码: 1035-1053
作者:
Liu, Chao
;
Hu, Zhenghua
;
Islam, A. R. M. Towfiqul
;
Kong, Rui
;
Yu, Lingfei
;
Wang, Yuanyuan
Adobe PDF(2054Kb)
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浏览/下载:105/0
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提交时间:2023/02/24
Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize
期刊论文
BMC ECOLOGY, 2019, 卷号: 19
作者:
Zhang, F.
;
Zhou, G.
Adobe PDF(2272Kb)
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浏览/下载:108/0
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提交时间:2022/01/06
Canopy water content
Hyperspectral remote sensing
Leaf equivalent water thickness
Live fuel moisture content
Summer maize
Comparison of leaf area index inversion for grassland vegetation through remotely sensed spectra by unmanned aerial vehicle and field-based spectroradiometer
期刊论文
JOURNAL OF PLANT ECOLOGY, 2019, 卷号: 12, 期号: 3, 页码: 395-408
作者:
Sha, Zongyao
;
Wang, Yuwei
;
Bai, Yongfei
;
Zhao, Yujin
;
Jin, Hua
;
Na, Ya
;
Meng, Xiaoliang
Adobe PDF(2891Kb)
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浏览/下载:127/0
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提交时间:2022/01/06
grassland
leaf area index
unmanned aerial vehicle
vegetation index
remote sensing
Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment
期刊论文
GEODERMA, 2019, 卷号: 348, 页码: 37-44
作者:
Liu, Shangshi
;
Shen, Haihua
;
Chen, Songchao
;
Zhao, Xia
;
Biswas, Asim
;
Jia, Xiaolin
;
Shi, Zhou
;
Fang, Jingyun
Adobe PDF(2016Kb)
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浏览/下载:105/0
  |  
提交时间:2022/01/06
China's forest
Cubist model
Soil organic carbon
Visible-near-infrared spectroscopy
Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China
期刊论文
ECOLOGY AND EVOLUTION, 2017, 卷号: 7, 期号: 13, 页码: 4735-4744
作者:
Zhang, Feng
;
Zhou, Guangsheng
Adobe PDF(1823Kb)
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浏览/下载:126/0
  |  
提交时间:2022/03/28
canopy chlorophyll content
eddy covariance
hyperspectral remote sensing
light use efficiency
spectral vegetation indices
Estimating Soil Salinity in the Yellow River Delta, Eastern China-An Integrated Approach Using Spectral and Terrain Indices with the Generalized Additive Model
期刊论文
PEDOSPHERE, 2016, 卷号: 26, 期号: 5, 页码: 626-635
作者:
Song Chuangye
;
Ren Hongxu
;
Huang Chong
Adobe PDF(1814Kb)
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  |  
浏览/下载:149/0
  |  
提交时间:2022/07/08
Akaike's information criterion
digital elevation model
Landsat TM image
soil salt content
terrain in indices
vegetation cover
Remote estimation of the fraction of absorbed photosynthetically active radiation for a maize canopy in Northeast China
期刊论文
JOURNAL OF PLANT ECOLOGY, 2015, 卷号: 8, 期号: 4, 页码: 429-435
作者:
Zhang, Feng
;
Zhou, Guangsheng
;
Nilsson, Christer
Adobe PDF(925Kb)
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浏览/下载:97/0
  |  
提交时间:2022/09/13
fraction of absorbed photosynthetically active radiation
hyperspectral remote sensing
maize canopy
spectral vegetation indices