Integrating high and moderate spatial resolution image data to estimate forest age structure

The collection of spatial information to quantify changes to the state and condition of the environment is a fundamental component of conservation or sustainable utilization of tropical and subtropical forests, Age is an important structural attribute of old-growth forests influencing biological diversity in Australia eucalypt forests. Aerial photograph interpretation has traditionally been used for mapping the age and structure of forest stands. However this method is subjective and is not able to accurately capture fine to landscape scale variation necessary for ecological studies. Identification and mapping of fine to landscape scale vegetative structural attributes will allow the compilation of information associated with Montreal Process indicators lb and ld, which seek to determine linkages between age structure and the diversity and abundance of forest fauna populations. This project integrated measurements of structural attributes derived from a canopy-height elevation model with results from a geometrical-optical/spectral mixture analysis model to map forest age structure at a landscape scale. The availability of multiple-scale data allows the transfer of high-resolution attributes to landscape scale monitoring. Multispectral image data were obtained from a DMSV (Digital Multi-Spectral Video) sensor over St Mary's State Forest in Southeast Queensland, Australia. Local scene variance levels for different forest tapes calculated from the DMSV data were used to optimize the tree density and canopy size output in a geometric-optical model applied to a Landsat Thematic Mapper (TU) data set. Airborne laser scanner data obtained over the project area were used to calibrate a digital filter to extract tree heights from a digital elevation model that was derived from scanned colour stereopairs. The modelled estimates of tree height, crown size, and tree density were used to produce a decision-tree classification of forest successional stage at a landscape scale. The results obtained (72% accuracy), were limited in validation, but demonstrate potential for using the multi-scale methodology to provide spatial information for forestry policy objectives (ie., monitoring forest age structure).

Delayed orbital hemorrhage after routine strabismus surgery

PURPOSE: To report a case of delayed rectus muscle hemorrhage after strabismus surgery. METHODS: Case report. RESULTS: Rectus muscle hemorrhage occurred 36 hours after strabismus surgery in a 26-year-old man, causing temporary loss of vision and reduced ocular motility. Urgent lateral cantholysis and orbital exploration to restore hemostasis were undertaken. Full recovery of vision occurred and a small residual motility disturbance was present 3 months postoperatively. CONCLUSION: Delayed rectus muscle hemorrhage post-strabismus surgery is rare but can have sight-threatening effects. When vision is threatened because of optic nerve compromise, urgent orbital exploration may allow full recovery of function. (Am J Ophthalmol 2001;131: 818-819, (C) 2001 by Elsevier Science Inc. All rights reserved.).