PURR will have scheduled maintenance work on Thursday, June 27, 2024. This time the regular maintenance will also include a major operating system update. The platform should operate normally for most of the day, except for a 2-4 hour long outage in the afternoon starting at 2 PM (EDT). Please plan accordingly and we do apologize for any inconvenience.
close

Tags: Remote Sensing

All Categories (1-20 of 133)

  1. Row Selection in Remote Sensing for Maize and Sorghum

    2023-06-20 18:49:40 | Datasets | Contributor(s): Mitchell R Tuinstra, Seth A Tolley | doi:10.4231/PF9S-4G38

    Remote sensing data evaluates all row segments of a plot, but the repeatability of traits from different row segments has not been evaluated. We evaluated which row segments provide the best repeatability and yield prediction of remote sensing traits.

    https://purr.purdue.edu/publications/4250

  2. Modeling density surfaces of intraspecific classes using camera-trap distance sampling

    2023-02-07 15:54:51 | Datasets | Contributor(s): Rob Swihart, Zackary Delisle | doi:10.4231/RF5H-C895

    Density surface modelling of intraspecific classes using camera-trap-distance-sampling data and hierarchical generalized additive modelling.

    https://purr.purdue.edu/publications/4238

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

    2022-02-10 21:52:29 | Datasets | Contributor(s): Meng-yang Lin, Mitchell R Tuinstra | doi:10.4231/FPHP-0153

    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.

    https://purr.purdue.edu/publications/3958

  4. Geospatial Image Data for Sorghum Phenotyping

    2021-05-26 20:35:21 | Datasets | Contributor(s): Mitchell Tuinstra, Melba M Crawford, Ed Delp, Ayman F Habib, Keith A Cherkauer, Larry L. Biehl | doi:10.4231/MY7W-FH43

    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).

    https://purr.purdue.edu/publications/3167

  5. Indiana Statewide Normalized Digital Height Model (2016-2019)

    2021-02-15 20:04:28 | Datasets | Contributor(s): Jinha Jung, Sungchan Oh | doi:10.4231/QAA5-6J29

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

    https://purr.purdue.edu/publications/3708

  6. Indiana Statewide Digital Surface Model (2016-2019)

    2021-02-15 19:59:58 | Datasets | Contributor(s): Jinha Jung, Sungchan Oh | doi:10.4231/0D14-5Q79

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

    https://purr.purdue.edu/publications/3707

  7. 2017 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 16:48:45 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/6NW4-TB31

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

    https://purr.purdue.edu/publications/3661

  8. 2015 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 16:48:27 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/0NX5-RT34

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

    https://purr.purdue.edu/publications/3659

  9. 2018 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 16:48:07 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/KMK0-J993

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

    https://purr.purdue.edu/publications/3658

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

    2020-12-15 16:47:41 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/69H7-CV75

    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".

    https://purr.purdue.edu/publications/3657

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

    2019-12-20 18:30:47 | Datasets | Contributor(s): Beichen Lyu, Stuart D Smith, Keith Cherkauer, Katy Rainey | doi:10.4231/ZAD3-MG98

    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.

    https://purr.purdue.edu/publications/3319

  12. 220 Band AVIRIS Hyperspectral Image Data Set: June 12, 1992 Indian Pine Test Site 3

    2015-09-29 17:38:25 | Datasets | Contributor(s): Marion F. Baumgardner, Larry L. Biehl, David A. Landgrebe | doi:10.4231/R7RX991C

    This publication includes the AVIRIS hyperspectral image data for Indian Pine Test Site 3 along with the reference data for this site including observation notes and photos for the fields within the approximately 2 mile by 2 mile area.

    https://purr.purdue.edu/publications/1947

  13. Tower Sunflower Polarization (916403)

    2015-07-28 15:08:56 | Datasets | Contributor(s): Vern C. Vanderbilt | doi:10.4231/R73F4MJ6

    The purpose of this experiment was to characterize the polarization of a 100 meter by 100 meter sunflower plot at the Montfavet INRA facility, France

    https://purr.purdue.edu/publications/1967

  14. Purdue Agronomy Farm Corn Solar Radiation Intercepted (SRI) (841805)

    2015-07-28 00:00:00 | Datasets | Contributor(s): Kevin P. Gallo | doi:10.4231/R7B27S7R

    The objectives of this research are 1) the identification and measurement of corn crop canopy variables, 2) development of relationships between identified variables, and 3) development and testing of methods in corn crop yield models

    https://purr.purdue.edu/publications/1937

  15. Reference Panel Calibration (906502)

    2015-07-27 17:11:43 | Datasets | Contributor(s): Larry L. Biehl | doi:10.4231/R7BV7DJ5

    Reference Panel Calibration

    https://purr.purdue.edu/publications/1962

  16. Exotech 20C Wavelength Calibration (906501)

    2015-07-27 17:11:11 | Datasets | Contributor(s): Larry L. Biehl | doi:10.4231/R7GM858W

    Exotech 20C Wavelength Calibration Test

    https://purr.purdue.edu/publications/1961

  17. Andrea Szilágyi Soils Experiment 2 (901702)

    2015-07-27 17:10:37 | Datasets | Contributor(s): Andrea Szilágyi Kishné | doi:10.4231/R7MC8X07

    Andrea Szilagyi Soils2

    https://purr.purdue.edu/publications/1960

  18. Andrea Szilágyi Soils Experiment (901701)

    2015-07-27 17:09:59 | Datasets | Contributor(s): Andrea Szilágyi Kishné | doi:10.4231/R7R49NR0

    Andrea Szilagyi Soils

    https://purr.purdue.edu/publications/1959

  19. Reference Panel Calibration (896502)

    2015-07-27 17:08:52 | Datasets | Contributor(s): Larry L. Biehl | doi:10.4231/R7VX0DGZ

    Reference Panel Calibration Test

    https://purr.purdue.edu/publications/1958

  20. Exotech 20C Wavelength Calibration (896501)

    2015-07-27 17:08:30 | Datasets | Contributor(s): Larry L. Biehl | doi:10.4231/R70P0WZV

    Exotech 20C Wavelength Calibration

    https://purr.purdue.edu/publications/1957

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries and the Office of the Executive Vice President for Research and Partnerships, with support from additional campus partners.