NASA Technical Reports Server (NASA) · 1978 · 24 citations · 0 references
Natural ResourcesEntomologyForestryForest EntomologyForest ManagementRemote SensingChange DetectionForest Change DetectionLand Cover Change DetectionRemote Sensing Change DetectionVegetation Change DetectionVegetation MonitoringChange Detection From Multispectral ImageryChange Detection From Remote SensingForest Pest OutbreaksMultispectral Image AnalysisPest Damage DetectionRemote Sensing Damage DetectionSatellite Change DetectionSatellite Image Change Detection
The overall objective of a research effort at NASA's Goddard Space Flight Center is to develop and evaluate digital image processing techniques that will facilitate the assessment of the intensity and spatial distribution of forest insect damage in Northeastern U.S. forests using remotely sensed data from Landsats 1, 2 and C. Automated change detection techniques are presently being investigated as a method of isolating the areas of change in the forest canopy resulting from pest outbreaks. In order to follow the change detection approach, Landsat scene correction and overlay capabilities are utilized to provide multispectral/multitemporal image files of 'defoliation' and 'nondefoliation' forest stand conditions.