Abstract
The present chapter focuses on different on airborne datasets that can be used in forest monitoring. A wide range of aerial platforms and several remote sensing tools are provided in this chapter. In mapping of forest biophysical and biochemical parameters, drone systems and LiDAR (Light Detection and Ranging) are quite common as they provide significantly higher spatial resolution datasets. Fine-scale information about vegetation like nontimber qualities will be provided via better integrations of airborne laser scanning data with other remote sensing datasets to enhance sustainable forest management. Drones have recently found an application in forestry, where the interest in this field of technology is growing because of high-resolution data that can be easily obtained at relatively low costs and in short period of time. Drones additionally play a major role in filling the gaps in information that’s usually obtained by manned craft or satellite remote sensing, and they provide several advantages for each analysis and sensible applications, notably in forestry and land use generally. Aerial remote sensing information can be used to assist space-based, in-depth resource surveys or as an extra source of knowledge.