Forest Canopy Mapping Using Synthetic Aperture Radar by Means of Pulse Coupled Neural Networks

Forest Canopy mapping is one of the significant factors in the evaluation of forest status and is an essential indicator of possible management interventions. Forest canopy cover, also known as canopy coverage or crown cover, is defined as the proportion of the forest floor covered by the vertical projection of the tree crowns. Estimation of forest canopy cover has recently become an important part of forest inventories. Using satellite imagery to estimate crown coverage has a long history. In this paper, an attempt has been made to demonstrate the potential of Pulse Coupled Neural Networks (PCNN) model for forest canopy mapping.