Spatial and Temporal Variance of Soil and Meteorological Properties Affecting Sensor Performance-Phase 2
Abstract
An approach to increasing sensor performance and detection reliability for buried objects is to better understand which physical processes are dominant under certain environmental conditions. The present effort (Phase 2) builds on our previously published prior effort (Phase 1), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried-object detection. The study utilized a 3.05 3.05 m test plot in Hanover, New Hampshire. Unlike Phase 1, the current effort involved removing the soil from the test plot area, homogenizing the material, then reapplying it into eight discrete layers along with buried sensors and objects representing targets of interest. Each layer was compacted to a uniform density consistent with the background undisturbed density. Homogenization greatly reduced the microscale soil temperature variability, simplifying data analysis. The Phase 2 study spanned May-November 2018. Simultaneous measurements of soil temperature and moisture (as well as air temperature and humidity, cloud cover, and incoming solar radiation) were obtained daily and recorded at 15-minute intervals and coupled with thermal infrared and electro-optical image collection at 5-minute intervals.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 03, 2021
- Accession Number
- AD1146702
Entities
People
- Andrew P. Bernier
- Austin K. Workman
- B. F. Morriss
- Bonnie J. Jones
- Brandon K. Booker
- Charles E. Smith
- Christopher R. Williams
- Jason R. Dorvee
- Jay Clausen
- Keran J. Claffey
- Michele L. Maxson
- Rosa T. Affleck
- Stephen D. Newman
- Susan Frankenstein
- Terrance M. Sobecki
Organizations
- Engineer Research and Development Center