Tao Cheng
Orcid: 0000-0002-4184-0730Affiliations:
- Nanjing Agricultural University, National Engineering and Technology Center for Information Agriculture, China
- University of California, Davis, CA, USA (2011 - 2013)
- University of Alberta, Edmonton, AB, Canada (PhD 2010)
According to our database1,
Tao Cheng
authored at least 67 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Geosci. Remote. Sens., 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
Annual 30 m winter wheat yield mapping in the Huang-Huai-Hai plain using crop growth model and long-term satellite images.
Comput. Electron. Agric., November, 2023
Towards practical semi-empirical models for the estimation of leaf and canopy water contents from hyperspectral reflectance.
Comput. Electron. Agric., November, 2023
A framework combined stacking ensemble algorithm to classify crop in complex agricultural landscape of high altitude regions with Gaofen-6 imagery and elevation data.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
Remote. Sens., July, 2023
Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing.
Comput. Electron. Agric., May, 2023
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023
An Adaptive Adversarial Patch-Generating Algorithm for Defending against the Intelligent Low, Slow, and Small Target.
Remote. Sens., March, 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
2022
MACA: A Relative Radiometric Correction Method for Multiflight Unmanned Aerial Vehicle Images Based on Concurrent Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning.
Remote. Sens., 2022
Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs.
Remote. Sens., 2022
Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review.
Comput. Electron. Agric., 2022
2021
AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Detection of Urban Built-Up Area Change From Sentinel-2 Images Using Multiband Temporal Texture and One-Class Random Forest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Estimation of Crop Yield From Combined Optical and SAR Imagery Using Gaussian Kernel Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation.
Remote. Sens., 2021
Early Detection of Powdery Mildew Disease and Accurate Quantification of Its Severity Using Hyperspectral Images in Wheat.
Remote. Sens., 2021
Estimating the Leaf Nitrogen Content with a New Feature Extracted from the Ultra-High Spectral and Spatial Resolution Images in Wheat.
Remote. Sens., 2021
AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Int. J. Appl. Earth Obs. Geoinformation, 2021
Improving Unmanned Aerial Vehicle (UAV) remote sensing of rice plant potassium accumulation by fusing spectral and textural information.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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
Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking.
Remote. Sens., 2020
Detection of phenology using an improved shape model on time-series vegetation index in wheat.
Comput. Electron. Agric., 2020
Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV).
Comput. Electron. Agric., 2020
DESTIN: A new method for delineating the boundaries of crop fields by fusing spatial and temporal information from WorldView and Planet satellite imagery.
Comput. Electron. Agric., 2020
Estimating aboveground and organ biomass of plant canopies across the entire season of rice growth with terrestrial laser scanning.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles.
Sensors, 2019
Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring.
Sensors, 2019
Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation.
Remote. Sens., 2019
Generating Red-Edge Images at 3 M Spatial Resolution by Fusing Sentinel-2 and Planet Satellite Products.
Remote. Sens., 2019
Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat.
Remote. Sens., 2019
Quantifying Chlorophyll Fluorescence Parameters from Hyperspectral Reflectance at the Leaf Scale under Various Nitrogen Treatment Regimes in Winter Wheat.
Remote. Sens., 2019
Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles.
Remote. Sens., 2019
A newly developed method to extract the optimal hyperspectral feature for monitoring leaf biomass in wheat.
Comput. Electron. Agric., 2019
Detection of wheat height using optimized multi-scan mode of LiDAR during the entire growth stages.
Comput. Electron. Agric., 2019
Exploiting the Textural Information of UAV Multispectral Imagery to Monitor Nitrogen Status in Rice.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle.
Remote. Sens., 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
Evaluation of One-Class Support Vector Classification for Mapping the Paddy Rice Planting Area in Jiangsu Province of China from Landsat 8 OLI Imagery.
Remote. Sens., 2018
Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index.
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
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Power and Difference of the Up-and-Downward Sun-Induced Chlorophyll Fluorescence on Detecting Leaf Nitrogen Content in Wheat at the Leaf Scale.
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
Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data.
Sensors, 2017
Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral Imagery.
Remote. Sens., 2017
Spectroscopic Estimation of Biomass in Canopy Components of Paddy Rice Using Dry Matter and Chlorophyll Indices.
Remote. Sens., 2017
2016
Remote. Sens., 2016
Assessment of spectral variation between rice canopy components using spectral feature analysis of near-ground hyperspectral imaging data.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 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
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Evaluation of a UAV-based hyperspectral frame camera for monitoring the leaf nitrogen concentration in rice.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Evaluation of Landsat 8 time series image stacks for predicitng yield and yield components of winter wheat.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Comparative analysis of vegetation indices, non-parametric and physical retrieval methods for monitoring nitrogen in wheat using UAV-based multispectral imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 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
Inversion of chlorophyll fluorescence parameters on vegetation indices at leaf scale.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Monitoring leaf area index after heading stage using hyperspectral remote sensing data in rice.
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
Remote. Sens., 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
2014
Detecting leaf nitrogen content in wheat with canopy hyperspectrum under different soil backgrounds.
Int. J. Appl. Earth Obs. Geoinformation, 2014