Matthew Maimaitiyiming

Orcid: 0000-0002-4241-6181

According to our database1, Matthew Maimaitiyiming authored at least 15 papers between 2014 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning.
Sensors, 2021

2020
Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology.
Remote. Sens., 2020

Using Visual Ozone Damage Scores and Spectroscopy to Quantify Soybean Responses to Background Ozone.
Remote. Sens., 2020

Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning.
Remote. Sens., 2020

Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR).
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality.
Remote. Sens., 2019

2018
Effects of Ambient Ozone on Soybean Biophysical Variables and Mineral Nutrient Accumulation.
Remote. Sens., 2018

2017
Early Detection of Plant Physiological Responses to Different Levels of Water Stress Using Reflectance Spectroscopy.
Remote. Sens., 2017

2016
Spectral separability analysis of five soybean cultivars with different ozone tolerance using hyperspectral field spectroscopy.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Estimating the Contribution of Loose Deposits to Potential Landslides Over Wenchuan Earthquake Zone, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Monitoring Soil Salinization in Keriya River Basin, Northwestern China Using Passive Reflective and Active Microwave Remote Sensing Data.
Remote. Sens., 2015

Remote Sensing Based Spatial Statistics to Document Tropical Rainforest Transition Pathways.
Remote. Sens., 2015

Characterizing Crop Responses to Background Ozone in Open-Air Agricultural Field by Using Reflectance Spectroscopy.
IEEE Geosci. Remote. Sens. Lett., 2015

Drivers of land cover and land use changes in St. Louis metropolitan area over the past 40 years characterized by remote sensing and census population data.
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
Estimating soil sand content using thermal infrared spectra in arid lands.
Int. J. Appl. Earth Obs. Geoinformation, 2014


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