subject: Remote Sensing type: dataset
10.4231/0D14-5Q79
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
10.4231/QAA5-6J29
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
10.4231/ZAD3-MG98
Beichen Lyu , Katy Rainey , Keith Cherkauer , 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
10.4231/MY7W-FH43
Ayman F Habib , Ed Delp , Keith A Cherkauer , Larry L. Biehl , Melba M Crawford , Mitchell Tuinstra
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
10.4231/69H7-CV75
Kai-Wei Yang , Mitchell Tuinstra , 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
10.4231/KMK0-J993
Kai-Wei Yang , Mitchell Tuinstra , 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
10.4231/0NX5-RT34
Kai-Wei Yang , Mitchell Tuinstra , 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
10.4231/6NW4-TB31
Kai-Wei Yang , Mitchell Tuinstra , 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
10.4231/R79P2ZK9
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
10.4231/R7TM7825
04/21/2015
The objective of this experiment is to determine if various small grains can be discriminated from each other based on their spectral reflectance.
Agriculture barley Crop Science Crops durum Exotech 100 Exotech 20C-SW LARS oats radiometer Remote Sensing Soil Science solar illumination spectral observations spectrometer spring wheat
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