Dong Li
Orcid: 0000-0002-3897-7322Affiliations:
- Nanjing Agricultural University, NETCIA, Jiangsu Key Laboratory for Information Agriculture, China
According to our database1,
Dong Li
authored at least 15 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Assessing the Sensitivity of Semiempirical Models to Spectral Data Quality and Sensor Settings When Estimating Leaf Chlorophyll Content.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Towards practical semi-empirical models for the estimation of leaf and canopy water contents from hyperspectral reflectance.
Comput. Electron. Agric., November, 2023
Integration of Canopy Water Removal and Spectral Triangle Index for Improved Estimations of Leaf Nitrogen and Grain Protein Concentrations in Winter Wheat.
IEEE Trans. Geosci. Remote. Sens., 2023
2020
Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery.
Remote. Sens., 2020
2019
Quantifying Chlorophyll Fluorescence Parameters from Hyperspectral Reflectance at the Leaf Scale under Various Nitrogen Treatment Regimes in Winter Wheat.
Remote. Sens., 2019
2018
Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice.
Remote. Sens., 2018
Difference and Potential of the Upward and Downward Sun-Induced Chlorophyll Fluorescence on Detecting Leaf Nitrogen Concentration in Wheat.
Remote. Sens., 2018
Detecting Rice Blast Disease Using Model Inverted Biochemical Variables from Close-Range Reflectance Imagery of Fresh Leaves.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
BRDF Effect on the Estimation of Canopy Chlorophyll Content in Paddy Rice from UAV-Based Hyperspectral Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Improved Estimation of Leaf Chlorophyll Content from Non-Noon Reflectance Spectra of Wheat Canopies by Avoiding the Effect of Soil Background.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018
2017
Spectroscopic Estimation of Biomass in Canopy Components of Paddy Rice Using Dry Matter and Chlorophyll Indices.
Remote. Sens., 2017
2016
Retrieval of LEAF pigment content using wavelet-based prospect inversion from leaf reflectance spectra.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Wavelet-based PROSPECT inversion for retrieving leaf mass per area (LMA) and equivalent water thickness (EWT) from leaf reflectance.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Towards decomposing the effects of foliar nitrogen content and canopy structure on rice canopy spectral variability through multi-scale spectral analysis.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
A wavelet-based technique for extracting the red edge position from vegetation reflectance spectra.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015