Datasets

subject: Remote Sensing

Total is 133 Results
Indiana Statewide Digital Surface Model (2016-2019)

10.4231/0D14-5Q79

Jinha Jung, 0000-0003-1176-3540, Sungchan Oh

02/16/2021

Digital Surface Model generated from the Indiana Statewide LiDAR data (2016 - 2019)

Civil Engineering Data Science High Performance Computing LiDAR Remote Sensing

Indiana Statewide Normalized Digital Height Model (2016-2019)

10.4231/QAA5-6J29

Jinha Jung, 0000-0003-1176-3540, Sungchan Oh

02/16/2021

Normalized Digital Height Model generated from the Indiana Statewide LiDAR data (2016 - 2019)

Civil Engineering Data Science High Performance Computing LiDAR Remote Sensing

Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

10.4231/FPHP-0153

Meng-yang Lin, Mitchell R Tuinstra, 0000-0002-5322-6519

02/11/2022

High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

Abiotic stress Agronomy Corn Ecophysiology High-throughput Phenotyping Machine Learning nitrogen content partial least square regression relative water content Remote Sensing Sorghum

Geospatial Image Data for Sorghum Phenotyping

10.4231/MY7W-FH43

Ayman F Habib, 0000-0001-6498-5951, Ed Delp, 0000-0002-2909-7323, Keith A Cherkauer, 0000-0002-6938-5303, Larry L. Biehl, 0000-0002-2322-2445, Melba M Crawford, Mitchell Tuinstra, 0000-0002-5322-6519

05/27/2021

This publication includes sample rgb and hyperspectral image data collected in 2018 by unmanned aerial systems for a Sorghum Phenotying and Trait Analysis project being conducted at Purdue's Agronomy Center for Research and Education (ACRE).

Agronomy hyperspectral Phenotyping Remote Sensing Sorghum UAS

HTP-Soy: An Aerial Image Set of Multi-category Soybean for High-Throughput Phenotyping (HTP)

10.4231/ZAD3-MG98

Beichen Lyu, Katy Rainey, 0000-0001-8541-5851, Keith Cherkauer, 0000-0002-6938-5303, Stuart D Smith

01/06/2020

The publication “HTP-Soy” contains 1,728 aerial images of soybean plots in the field and each image is categorized based on spatial, temporal, and genetic variations. Data is made available to encourage development of HTP applications.

Agricultural and Biological Engineering Computer Vision High-throughput Phenotyping Image Dataset Indiana Plant Breeding Remote Sensing Soybean Unmanned Aerial Systems

R Pipeline for Calculation of APSIM Parameters and Generating the XML File

10.4231/69H7-CV75

Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, Scott Chapman

12/15/2020

A pipeline to generate the XML parameter file for APSIM was developed in R. The files and R codes are reported in "R Pipeline for Calculation of APSIM Parameters and Generating the XML File".

Agronomy APSIM Crop Growth Models APSIM Pipeline Remote Sensing

2018 West Lafayette Simulation of 18 Sorghum Hybrids

10.4231/KMK0-J993

Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, Scott Chapman

12/15/2020

The model calibration step compares the APSIM simulated results with measured phenotypes in field trials. Parameter adjustments are reported in “SorghumXMLOutputUQ”.

2018 Sorghum Simulation Agronomy APSIM Crop Model Remote Sensing

2015 West Lafayette Simulation of 18 Sorghum Hybrids

10.4231/0NX5-RT34

Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, Scott Chapman

12/15/2020

The APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2015 West Lafayette.

2015 Sorghum Crop Simulation Agronomy Biophysical crop models Remote Sensing

2017 West Lafayette Simulation of 18 Sorghum Hybrids

10.4231/6NW4-TB31

Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, Scott Chapman

12/15/2020

The calibrated APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2017 West Lafayette.

2017 Sorghum simulation Agronomy APSIM Crop Model Remote Sensing

Spectral Separability of Wheat and Other Cover Crops in North Dakota (771215)

10.4231/R79P2ZK9

Marvin E. Bauer

04/21/2015

The purpose of this experiment is to determine the spectral separability of spring wheat and other cover types common to western North Dakota.

Agriculture Crop Science Crops Exotech 100 Exotech 20C-SW LARS radiometer Remote Sensing soil Soil Science solar illumination spectral observations spectrometer winter wheat

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