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Virginia Tech

Identifying Forest Conversion Hotspots in the Commonwealth of Virginia using Multitemporal Landsat Data and Known Change Indicators

Abstract

dc:description.abstract

This study examines the effectiveness of using the Normalized Difference Vegetation Index (NDVI) derived from 1326 different Landsat Thematic Mapper and Enhanced Thematic Mapper images in finding isolated housing starts within the Commonwealth of Virginia's forests. Individual NDVI images were stacked by year for the years 1995-2011 and the yearly maximum for each pixel was extracted, resulting in a 17-year image stack of all yearly maxima (a 98.7% data reduction). Using location data from housing starts and well permits, known previously forested housing starts were isolated from all other forest disturbance types. Samples from housing starts and other forest disturbances, as well as from undisturbed forest, were used to derive vegetation index thresholds enabling separation of disturbed from undisturbed forest. Disturbances, once identified, were separated accurately (overall accuracy = 85.4 percent, F-statistic = 0.86) into housing starts and other forest disturbances using a classification tree and only two variables from the Disturbance Detection and Diagnostics (D3) algorithm: the maximum NDVI in the available recovery period and the slope between the NDVI value at the time of the disturbance and the maximum NDVI in the available recovery period. Landsat time series stacks thus show promise for identifying even the small changes associated with exurban development.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Forestry
Department dc:contributor.department
Forest Resources and Environmental Conservation
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • House, Matthew Neal
Chair dc:contributor.committeechair
  • Wynne, Randolph H.
Committee members dc:contributor.committeemember
  • Radtke, Philip J.
  • Thomas, Valerie A.

Subjects

dc:subject × 10

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:11091
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/86139

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

House, Matthew Neal. Identifying Forest Conversion Hotspots in the Commonwealth of Virginia using Multitemporal Landsat Data and Known Change Indicators. masters thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/86139