Maitiniyazi Maimaitijiang

Orcid: 0000-0001-6153-1583

According to our database1, Maitiniyazi Maimaitijiang authored at least 25 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Using gross primary production data and deep transfer learning for crop yield prediction in the US Corn Belt.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning.
Sensors, December, 2023

Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Simultaneously Estimating Crop Yield and Seed Composition using Multitask Learning from UAV Multispectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data.
IEEE Trans. Geosci. Remote. Sens., 2022

Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning.
Sensors, 2022

A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt.
Remote. Sens., 2022

Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data.
Remote. Sens., 2022

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

Forest Conservation with Deep Learning: A Deeper Understanding of Human Geography around the Betampona Nature Reserve, Madagascar.
Remote. Sens., 2021

Estimating tree-related power outages for regional utility network using airborne LiDAR data and spatial statistics.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Crop Yield Prediction using Satellite/Uav Synergy and Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning.
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

Polly: A Tool for Rapid Data Integration and Analysis in Support of Agricultural Research and Education.
Internet Things, 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
Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning.
Sensors, 2019

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras.
Remote. Sens., 2019

A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture.
Frontiers Big Data, 2019

2018
Adaptive Trigonometric Transformation Function With Image Contrast and Color Enhancement: Application to Unmanned Aerial System Imagery.
IEEE Geosci. Remote. Sens. Lett., 2018

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


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