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Matthew Maimaitiyiming

Saint Louis University

23

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720

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Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning

2021 Isprs Journal of Photogrammetry and Remote Sensing
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Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology

2020 Remote Sensing
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Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality

2019 Remote Sensing
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Vegetation Index Weighted Canopy Volume Model (CVMVI) for soybean biomass estimation from Unmanned Aerial System-based RGB imagery

2019 Isprs Journal of Photogrammetry and Remote Sensing
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Using Visual Ozone Damage Scores and Spectroscopy to Quantify Soybean Responses to Background Ozone

2019 Remote Sensing
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Effects of Ambient Ozone on Soybean Biophysical Variables and Mineral Nutrient Accumulation

2018 Remote Sensing
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Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

2017 Isprs Journal of Photogrammetry and Remote Sensing
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Spectral separability analysis of five soybean cultivars with different ozone tolerance using hyperspectral field spectroscopy

2016 IGARSS | International Geoscience and Remote Sensing Symposium
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Discriminating Spectral Signatures Among and Within Two Closely Related Grapevine Species

2016 Photogrammetric Engineering and Remote Sensing
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Dynamics of land surface temperature (LST) in response to land use and land cover (LULC) changes in the Weigan and Kuqa river oasis, Xinjiang, China

2016 Arabian Journal of Geosciences
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Citations (18)