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Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine

ISPRS journal of photogrammetry and remote sensing, 2021-05, Vol.175, p.215-235

2021

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Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1284

2019

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Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing

GIScience and remote sensing, 2020-05, Vol.57 (4), p.510-525

2020

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UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.1827

2023

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Urban tree species classification using UAV-based multi-sensor data fusion and machine learning

GIScience and remote sensing, 2021-11, Vol.58 (8), p.1250-1275

2021

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Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning

Sensors (Basel, Switzerland), 2021-01, Vol.21 (3), p.742

2021

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Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1357

2020

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

ISPRS journal of photogrammetry and remote sensing, 2021-04, Vol.174, p.265-281

2021

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SBAS Analysis of Induced Ground Surface Deformation from Wastewater Injection in East Central Oklahoma, USA

Remote sensing (Basel, Switzerland), 2018-02, Vol.10 (2), p.283

2018

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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 sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.330

2019

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Early Detection of Wheat Yellow Rust Disease and Its Impact on Terminal Yield with Multi-Spectral UAV-Imagery

Remote sensing (Basel, Switzerland), 2023-06, Vol.15 (13), p.3301

2023

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Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1503

2018

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Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition

Scientific reports, 2024-07, Vol.14 (1), p.15063-16, Article 15063

2024

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Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (13), p.2082

2020

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Estimating tree-related power outages for regional utility network using airborne LiDAR data and spatial statistics

International journal of applied earth observation and geoinformation, 2021-08, Vol.100, p.102330, Article 102330

2021

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The Ballpark Effect: Spatial-Data-Driven Insights into Baseball’s Local Economic Impact

Applied sciences, 2024-09, Vol.14 (18), p.8134

2024

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

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.740

2019

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

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (17), p.3495

2021

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Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (19), p.4786

2022

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Predicting Terrorism in Europe with Remote Sensing, Spatial Statistics, and Machine Learning

ISPRS international journal of geo-information, 2022-04, Vol.11 (4), p.211

2022

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Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (1), p.155

2024

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Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy

PeerJ (San Francisco, CA), 2018-10, Vol.6, p.e5714-e5714, Article e5714

2018

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Multivariate Analysis and Anomaly Detection of a US Reservoir Sedimentation Data Set

Journal of hydrologic engineering, 2024-10, Vol.29 (5)

2024

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

Remote sensing (Basel, Switzerland), 2018-04, Vol.10 (4), p.562

2018

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Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (19), p.3216

2020

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Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine

Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing

UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping

Urban tree species classification using UAV-based multi-sensor data fusion and machine learning

Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning

Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning

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

SBAS Analysis of Induced Ground Surface Deformation from Wastewater Injection in East Central Oklahoma, USA

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

Early Detection of Wheat Yellow Rust Disease and Its Impact on Terminal Yield with Multi-Spectral UAV-Imagery

Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine

Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition

Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning

Estimating tree-related power outages for regional utility network using airborne LiDAR data and spatial statistics

The Ballpark Effect: Spatial-Data-Driven Insights into Baseball’s Local Economic Impact

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

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

Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data

Predicting Terrorism in Europe with Remote Sensing, Spatial Statistics, and Machine Learning

Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing

Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy

Multivariate Analysis and Anomaly Detection of a US Reservoir Sedimentation Data Set

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

Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology

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