Jan van Aardt

Jan van Aardt

Rochester Institute of Technology

H-index: 38

North America-United States

About Jan van Aardt

Jan van Aardt, With an exceptional h-index of 38 and a recent h-index of 22 (since 2020), a distinguished researcher at Rochester Institute of Technology, specializes in the field of Remote sensing, light detection and ranging (lidar), imaging spectroscopy (hyperspectral), forest, structure.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring the Limits of Species Identification via a Convolutional Neural Network in a Complex Forest Scene through Simulated Imaging Spectroscopy

Relative Effectiveness of a Radionuclide (210Pb), Surface Elevation Table (SET), and LiDAR At Monitoring Mangrove Forest Surface Elevation Change

Maize grain and silage yield prediction of commercial fields using high-resolution UAS imagery

A comparison of traditional and machine learning corn yield models using hyperspectral UAS and Landsat imagery

Forecasting Table Beet Root Yield Using Spectral and Textural Features from Hyperspectral UAS Imagery

Estimation of Canopy Geometric Parameters from Full-Waveform Lidar Data for Leaf-to-Ecosystem Spectral Scaling

Evaluation of Lidar Data Collected from Different Platforms and Spatial Scales for Use in the Measurement of Forest Structure

White Mold and Weed Detection in Snap Beans Using UAS-Based Lidar

Jan van Aardt Information

University

Position

Professor Chester F. Carlson Center for Imaging Science

Citations(all)

5357

Citations(since 2020)

2265

Cited By

4046

hIndex(all)

38

hIndex(since 2020)

22

i10Index(all)

83

i10Index(since 2020)

50

Email

University Profile Page

Rochester Institute of Technology

Google Scholar

View Google Scholar Profile

Jan van Aardt Skills & Research Interests

Remote sensing

light detection and ranging (lidar)

imaging spectroscopy (hyperspectral)

forest

structure

Top articles of Jan van Aardt

Title

Journal

Author(s)

Publication Date

Exploring the Limits of Species Identification via a Convolutional Neural Network in a Complex Forest Scene through Simulated Imaging Spectroscopy

Remote Sensing

Manisha Das Chaity

Jan van Aardt

2024/1/28

Relative Effectiveness of a Radionuclide (210Pb), Surface Elevation Table (SET), and LiDAR At Monitoring Mangrove Forest Surface Elevation Change

Estuaries and Coasts

Richard A MacKenzie

Ken W Krauss

Nicole Cormier

Eugene Eperiam

Jan van Aardt

...

2023/12/12

Maize grain and silage yield prediction of commercial fields using high-resolution UAS imagery

Biosystems Engineering

S Sunoj

Benjamin Yeh

Manuel Marcaida III

Louis Longchamps

Jan van Aardt

...

2023/11/1

A comparison of traditional and machine learning corn yield models using hyperspectral UAS and Landsat imagery

Nathan M Burglewski

Quirine M Ketterings

Sunoj Shajahan

Jan Van Aardt

2023/6/13

Forecasting Table Beet Root Yield Using Spectral and Textural Features from Hyperspectral UAS Imagery

Remote Sensing

Mohammad S Saif

Robert Chancia

Sarah Pethybridge

Sean P Murphy

Amirhossein Hassanzadeh

...

2023/1/31

Estimation of Canopy Geometric Parameters from Full-Waveform Lidar Data for Leaf-to-Ecosystem Spectral Scaling

AGU Fall Meeting Abstracts

Keith Krause

Jan A van Aardt

Scott V Ollinger

Kedar Patki

Andrew Ouimette

...

2022/12

Evaluation of Lidar Data Collected from Different Platforms and Spatial Scales for Use in the Measurement of Forest Structure

AGU Fall Meeting Abstracts

Keith Krause

Jan A van Aardt

Christopher Michael Gough

Crystal Schaaf

David Orwig

2022/12

White Mold and Weed Detection in Snap Beans Using UAS-Based Lidar

Fei Zhang

Amirhossein Hassanzadeh

Julie Kikkert

Sarah Jane Pethybridge

Jan van Aardt

2022/7/17

Evaluation of Leaf Area Index (LAI) of Broadacre crops using UAS-Based LiDAR point clouds and multispectral imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Fei Zhang

Amirhossein Hassanzadeh

Julie Kikkert

Sarah Jane Pethybridge

Jan van Aardt

2022/5/5

The multiple dimensions of diversity: Advancing the science and application of structural diversity-ecosystem function interactions

AGU Fall Meeting Abstracts

Christopher Michael Gough

Jeff W Atkins

Robert Timothy Fahey

Brady S Hardiman

Ben P Bond-Lamberty

...

2022/12

Plant Counts in Dense Red Beet Crops: A Computer Vision Approach

Amirhossein Hassanzadeh

Jan van Aardt

Julie Kikkert

S Pethybridge

S Murphy

...

2021/7/11

Assessing grapevine nutrient status from unmanned aerial system (UAS) hyperspectral imagery

Remote Sensing

Robert Chancia

Terry Bates

Justine Vanden Heuvel

Jan van Aardt

2021/11/8

UAS-based Crop Yield Prediction Via Hyperspectral Imaging Using a Novel Feature Selection Module

AGU Fall Meeting Abstracts

Amirhossein Hassanzadeh

Jan van Aardt

2021/12

Predicting table beet root yield with multispectral UAS imagery

Remote Sensing

Robert Chancia

Jan van Aardt

Sarah Pethybridge

Daniel Cross

John Henderson

2021/6/2

Proposed method for statistical analysis of on-farm single strip treatment trials

Agronomy

Jason B Cho

Joseph Guinness

Tulsi Kharel

Ángel Maresma

Karl J Czymmek

...

2021/10/12

Assessing the Impact of Leaf Angle Distributions on Narrowband Vegetation Indices and LiDAR derived LAI measurements

AGU Fall Meeting Abstracts

Kedar Patki

Rob Wible

Keith Krause

Jan van Aardt

2021/12

Leaf bidirectional transmittance distribution function estimates and models for select deciduous tree species

IEEE Transactions on Geoscience and Remote Sensing

Benjamin D Roth

M Grady Saunders

Charles M Bachmann

Jan van Aardt

2021/2/17

Comparison of UAS-based structure-from-motion and LiDAR for structural characterization of short broadacre crops

Remote Sensing

Fei Zhang

Amirhossein Hassanzadeh

Julie Kikkert

Sarah Jane Pethybridge

Jan van Aardt

2021/10/4

Unmanned Aerial System (UAS) Imaging for Vineyard Nutrition: Comparing typical multispectral imagery with optimized band selection from hyperspectral imagery

AGU Fall Meeting Abstracts

Robert Chancia

Justine Vanden Heuvel

Terry Bates

Jan van Aardt

2021/12

Broadacre crop yield estimation using imaging spectroscopy from unmanned aerial systems (UAS): A field-based case study with snap bean

Remote Sensing

Amirhossein Hassanzadeh

Fei Zhang

Jan van Aardt

Sean P Murphy

Sarah J Pethybridge

2021/1

See List of Professors in Jan van Aardt University(Rochester Institute of Technology)