Disturbance Detection and Diagnostics (D^3) Algorithm
| dc.contributor.author | House, Matthew N. | en |
| dc.contributor.author | Wynne, Randolph H. | en |
| dc.contributor.department | Forest Resources and Environmental Conservation | en |
| dc.date.accessioned | 2018-01-18T13:51:49Z | en |
| dc.date.available | 2018-01-18T13:51:49Z | en |
| dc.date.issued | 2018-01-16 | en |
| dc.description.abstract | The Virginia Tech Disturbance Detection and Diagnostics (D3) Program is written in FORTRAN 95. It is compiled as a command line executable program running on a PC. Designed to read and evaluate image stacks of NDVI values and evaluate individual pixels through time and identify them if they change as specified by the user input thresholds and parameters. This program is intended to identify disturbed forest pixels. | en |
| dc.description.sponsorship | US Geological Survey Grant: G12PC00073, “Making MultitemporalWork” | en |
| dc.description.sponsorship | Virginia Department of Forestry: "Mapping Virginia's Forest Conversion Hotspots": AT-1568 | en |
| dc.description.sponsorship | Virginia Agricultural Experiment Station and the McIntire-Stennis Program of NIFA, USDA: “Detecting and Forecasting the Consequences of Subtle and Gross Disturbance on Forest Carbon Cycl: Project Number 1007054 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/81838 | en |
| dc.language.iso | en_US | en |
| dc.rights | Creative Commons Attribution 3.0 United States | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | en |
| dc.subject | Fortran95 | en |
| dc.subject | remote sensing | en |
| dc.subject | Landsat | en |
| dc.subject | forest loss | en |
| dc.subject | LTSS | en |
| dc.subject | NDVI | en |
| dc.subject | rural development | en |
| dc.subject | trajectory | en |
| dc.subject | disturbance | en |
| dc.subject | forest change attribution | en |
| dc.title | Disturbance Detection and Diagnostics (D^3) Algorithm | en |
| dc.type | Dataset | en |