Chenghai Yang

Orcid: 0000-0002-9898-628X

According to our database1, Chenghai Yang authored at least 46 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments.
Comput. Electron. Agric., January, 2024

2023
A PROSAIL model with a vegetation index lookup table optimized with in-situ statistics for rapeseed leaf area index estimation using diverse unmanned aerial vehicle sensors in the Yangtze River Basin.
Comput. Electron. Agric., December, 2023

Applying machine learning classifiers to Sentinel-2 imagery for early identification of cotton fields to advance boll weevil eradication.
Comput. Electron. Agric., October, 2023

Editorial for Special Issue: "Recent Progress in UAV-AI Remote Sensing".
Remote. Sens., September, 2023

Exploring Effective Detection and Spatial Pattern of Prickly Pear Cactus (Opuntia Genus) from Airborne Imagery before and after Prescribed Fires in the Edwards Plateau.
Remote. Sens., August, 2023

Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping.
Comput. Electron. Agric., August, 2023

Evaluation of spatial resolution on crop disease detection based on multiscale images and category variance ratio.
Comput. Electron. Agric., April, 2023

2022
Winter Wheat Nitrogen Estimation Based on Ground-Level and UAV-Mounted Sensors.
Sensors, 2022

Remote Sensing Monitoring of Rice Grain Protein Content Based on a Multidimensional Euclidean Distance Method.
Remote. Sens., 2022

Estimating Rangeland Fine Fuel Biomass in Western Texas Using High-Resolution Aerial Imagery and Machine Learning.
Remote. Sens., 2022

A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval.
Comput. Electron. Agric., 2022

GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing.
Comput. Electron. Agric., 2022

2021
Identification of Abandoned Jujube Fields Using Multi-Temporal High-Resolution Imagery and Machine Learning.
Remote. Sens., 2021

Crop height estimation based on UAV images: Methods, errors, and strategies.
Comput. Electron. Agric., 2021

Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Correction: Zhao, H., et al. Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. Remote Sensing 2020, 12, 1930.
Remote. Sens., 2020

Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization.
Remote. Sens., 2020

Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection.
Remote. Sens., 2020

Assessing the Effect of Real Spatial Resolution of In Situ UAV Multispectral Images on Seedling Rapeseed Growth Monitoring.
Remote. Sens., 2020

Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing.
Remote. Sens., 2020

A Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing.
Remote. Sens., 2020

Identification of Cotton Root Rot by Multifeature Selection from Sentinel-2 Images Using Random Forest.
Remote. Sens., 2020

2019
Spectral Heterogeneity Predicts Local-Scale Gamma and Beta Diversity of Mesic Grasslands.
Remote. Sens., 2019

Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery.
Remote. Sens., 2019

A shadow- eliminated vegetation index (SEVI) for removal of self and cast shadow effects on vegetation in rugged terrains.
Int. J. Digit. Earth, 2019

2018
Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification.
Remote. Sens., 2018

Image dehazing based on dark channel prior and brightness enhancement for agricultural remote sensing images from consumer-grade cameras.
Comput. Electron. Agric., 2018

2017
Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras.
Remote. Sens., 2017

Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping.
Remote. Sens., 2017

Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements.
Remote. Sens., 2017

Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot.
Remote. Sens., 2017

2016
Evaluation of an Airborne Remote Sensing Platform Consisting of Two Consumer-Grade Cameras for Crop Identification.
Remote. Sens., 2016

Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery.
Comput. Electron. Agric., 2016

2014
An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing.
Remote. Sens., 2014

2013
Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2013

Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture.
Proc. IEEE, 2013

2011
Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Linear unmixing of multidate hyperspectral imagery for crop yield estimation.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Mapping three invasive weeds using airborne hyperspectral imagery.
Ecol. Informatics, 2010

Spectral unmixing of airborne hyperspectral imagery for mapping giant reed infestations.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Unsupervised linear unmixing of hyperspectral image for crop yield estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Applying linear spectral unmixing to airborne hyperspectral imagery for mapping crop yield variability.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

2008
Mapping Riparian and Wetland Weeds with High Resolution Satellite Imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Using Airborne and Satellite Imagery to Distinguish and Map Black Mangrove Along the South Texas Gulf Coast.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2005
Airborne hyperspectral image analysis for grain sorghum yield variability mapping.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

2004
Citrus pest stress monitoring using airborne hyperspectral imagery.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004


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