To consistently and repeatedly monitor forests over large areas, it is desirable to use remote sensing data and automated image analysis techniques. Several types of remote sensing data, including Aerial photography, Optical Multispectral Scanner, Radar, Lidar (Laser) and Videographic data have been used by forest research and operational agencies to detect, identify, classify, evaluate and measure various forest cover types and their changes.