Subject
Creator
- Ayman F Habib, 0000-0001-6498-5951 1
- David R Johnson, 0000-0002-2364-340X 1
- Fu-Chen Chen, 0000-0002-6396-2798 1
- Keith A Cherkauer, 0000-0002-6938-5303 1
- Larry L. Biehl, 0000-0002-2322-2445 1
- Melba M Crawford 1
- Mitchell Tuinstra, 0000-0002-5322-6519 1
- Mohammad Jahanshahi 1
Type
- Dataset 2
Date
creator: Ed Delp, 0000-0002-2909-7323
Total is 2 Results
Structural attributes derived from Google Street View imagery, Louisiana coastal zone
10.4231/1TZX-BR43
David R Johnson
,
Ed Delp
,
Fu-Chen Chen
,
Mohammad Jahanshahi
07/28/2020
Structural attributes relevant to flood risk (foundation height/type, square footage, number of stories, building type), produced using machine learning for automated image analysis of GSV images.
flood risk Industrial Engineering Machine Learning structure attributes
Geospatial Image Data for Sorghum Phenotyping
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
Display #
Results 1 - 2 of 2