LOS Analysis Simulation considering Canopy Cover

Abstract

The primary factors of the LOS(Line-of-Sight) analysis process are terrain height, camera capacity, and canopy cover. The canopy cover rate differs depending on the changing season, and its value is influenced by the tree density, tree height, and etc. This study generated the canopy cover value based on relationship between NDVI(Normalized Difference Vegetation Index) and DMT(Density Measure % of Tree/Canopy Cover), which is a digital map attribute, and then performed the LOS analysis on six station of test sites. As results, It was found that NDVI and DMT are correlated with each other through the experiments. Based on this finding, new DMT map can be generated using NDVI. Also, There is a difference between the result of visibility analysis using the present DMT and one using a new DMT. Especially, the spatial distributions of the detected visible areas are significantly different between the two visibility analysis results.

A Genetic Algorithm to Solve the Optimum Location Problem for Surveillance Sensors

“…This map provides six types of coverage; OBS (obstacles), SLP (slope/surface configuration, SMC (soil/surface materials), SDR (surface drainage), TRN (transportation), VEG (vegetation), as shown in Fig. 1. VEG coverage, which has the most influential factor for a sensor s detection level, is the main input source among various types of coverage (Lee et al, 2006;Kong et al, 2012). VEG coverage is composed of three layers; VEGAREA, VGWAREA, VGFAREA.…”

“…Visibility is influenced by terrain elevation, the performance of the observation device, trees coverage and other environmental factors (Kong et al, 2012). For visibility analysis, we perform viewshed analysis to create the detection probability map.…”