International Journal of Remote Sensing · 1995 · 112 citations · 9 references
Natural ResourcesForestryForest EcologyForest ManagementRemote SensingForest StructureStand Density EstimationStand MeasurementStand Structure AnalysisStand Structure AssessmentTree Height EstimationForest Structure MappingHigh-resolution Imagery AnalysisImage Texture AnalysisRemote Sensing-based Height EstimationStand Attribute EstimationStand Height ModelingStand Structure CharacterizationTree Density Estimation
Abstract The height and stocking of forest stands can be estimated with relatively high precision using an empirical model relating parameters extracted from the directional variogram of high resolution images and forest structure parameters. A geometrical-optical model of the forest was first used to generate images of artificial forest stands in order to establish the relation between tree size. tree density and image texture. The resulting equations were then applied on the computer generated images as well as on high resolution MEIS II images to predict the forest structure values. The results show a good concordance between actual and predicted values, even when spatial resolution was degraded from 0·36m to 2·16m.
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