Yongchao Tian

Orcid: 0000-0002-6106-4505

According to our database1, Yongchao Tian authored at least 82 papers between 2008 and 2024.

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Bibliography

2024
Estimation of Rice Leaf Area Index Utilizing a Kalman Filter Fusion Methodology Based on Multi-Spectral Data Obtained from Unmanned Aerial Vehicles (UAVs).
Remote. Sens., June, 2024

Wheat Yield Robust Prediction in the Huang-Huai-Hai Plain by Coupling Multi-Source Data with Ensemble Model under Different Irrigation and Extreme Weather Events.
Remote. Sens., April, 2024

Monitoring Rice Leaf Nitrogen Content Based on the Canopy Structure Effect Corrected With a Novel Model PROSPECT-P.
IEEE Trans. Geosci. Remote. Sens., 2024

Multisource Remote Sensing Data-Driven Estimation of Rice Grain Starch Accumulation: Leveraging Matter Accumulation and Translocation Characteristics.
IEEE Trans. Geosci. Remote. Sens., 2024

Investigating data-driven approaches to optimize nitrogen recommendations for winter wheat.
Comput. Electron. Agric., 2024

A novel approach for estimating fractional cover of crops by correcting angular effect using radiative transfer models and UAV multi-angular spectral data.
Comput. Electron. Agric., 2024

Multi-source data fusion improved the potential of proximal fluorescence sensors in predicting nitrogen nutrition status across winter wheat growth stages.
Comput. Electron. Agric., 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

Improving yield prediction based on spatio-temporal deep learning approaches for winter wheat: A case study in Jiangsu Province, China.
Comput. Electron. Agric., October, 2023

Optimizing rice in-season nitrogen topdressing by coupling experimental and modeling data with machine learning algorithms.
Comput. Electron. Agric., June, 2023

Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing.
Comput. Electron. Agric., May, 2023

2022
Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning.
Remote. Sens., 2022

A deep learning method for oriented and small wheat spike detection (OSWSDet) in UAV images.
Comput. Electron. Agric., 2022

Improving wheat yield prediction integrating proximal sensing and weather data with machine learning.
Comput. Electron. Agric., 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
Estimation of Crop Yield From Combined Optical and SAR Imagery Using Gaussian Kernel Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Evaluation of Three Portable Optical Sensors for Non-Destructive Diagnosis of Nitrogen Status in Winter Wheat.
Sensors, 2021

A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5.
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

Retrieving potassium levels in wheat blades using normalised spectra.
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

A Comparative Assessment of Measures of Leaf Nitrogen in Rice Using Two Leaf-Clip Meters.
Sensors, 2020

Using an Active Sensor to Develop New Critical Nitrogen Dilution Curve for Winter Wheat.
Sensors, 2020

Use of an Active Canopy Sensor Mounted on an Unmanned Aerial Vehicle to Monitor the Growth and Nitrogen Status of Winter Wheat.
Remote. Sens., 2020

Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle.
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

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
Using a Portable Active Sensor to Monitor Growth Parameters and Predict Grain Yield of Winter Wheat.
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

Rapid Mosaicking of Unmanned Aerial Vehicle (UAV) Images for Crop Growth Monitoring Using the SIFT Algorithm.
Remote. Sens., 2019

Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages.
Remote. Sens., 2019

Estimation of Rice Growth Parameters Based on Linear Mixed-Effect Model Using Multispectral Images from Fixed-Wing Unmanned Aerial Vehicles.
Remote. Sens., 2019

Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation.
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

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

2018
Wireless Channel Propagation Characteristics and Modeling Research in Rice Field Sensor Networks.
Sensors, 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

A neural network method for the reconstruction of winter wheat yield series based on spatio-temporal heterogeneity.
Comput. Electron. Agric., 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

Improving the Estimation of Leaf Area Index in Winter Wheat at Regional Scale.
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

Comparison RGB Digital Camera with Active Canopy Sensor Based on UAV for Rice Nitrogen Status Monitoring.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017
Accelerating data preparation for big data analytics. (Accéler la préparation des données pour l'analyse du big data).
PhD thesis, 2017

DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data.
IEEE Trans. Big Data, 2017

Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data.
Sensors, 2017

Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China).
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

Bleach: A Distributed Stream Data Cleaning System.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

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

Determination of optimal hyperspectral variables to monitor wheat biomass.
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
Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration.
Remote. Sens., 2015

Exploring the Vertical Distribution of Structural Parameters and Light Radiation in Rice Canopies by the Coupling Model and Remote Sensing.
Remote. Sens., 2015

Design and Experimentation of Piezoelectric Crystal Sensor Array for Grain Cleaning Loss.
Int. J. Distributed Sens. Networks, 2015

Dissecting UbuntuOne: Autopsy of a Global-scale Personal Cloud Back-end.
Proceedings of the 2015 ACM Internet Measurement Conference, 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
Development of a Novel Bidirectional Canopy Reflectance Model for Row-Planted Rice and Wheat.
Remote. Sens., 2014

Detecting leaf nitrogen content in wheat with canopy hyperspectrum under different soil backgrounds.
Int. J. Appl. Earth Obs. Geoinformation, 2014

DiNoDB: Efficient Large-Scale Raw Data Analytics.
Proceedings of the First International Workshop on Bringing the Value of "Big Data" to Users, 2014

2013
Comparison and Intercalibration of Vegetation Indices from Different Sensors for Monitoring Above-Ground Plant Nitrogen Uptake in Winter Wheat.
Sensors, 2013

2010
Exploring hyperspectral bands and estimation indices for leaf nitrogen accumulation in wheat.
Int. J. Appl. Earth Obs. Geoinformation, 2010

2008
Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice.
Int. J. Appl. Earth Obs. Geoinformation, 2008


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