The U.S. Department of Agriculture (USDA) today unveiled the new Southeast FireMap, a fire mapping tool for the Southeastern United States that enables resource managers to improve their regional or local approaches to managing wildfire risk and fire management needs through targeted prescribed burns and training. Fire management helps improve forest ecosystem health, increases timber values, reduces the risk of wildfire damage to life and property, reduces ticks and other pests, protects drinking water, and renews healthy ecosystems supporting wildlife habitat, especially in fire-dependent longleaf pine forests.
The SE FireMap version 1.0 decision support tool will map all detectable fires, including managed prescribed burns and wildfires, across nine states. The map and associated tools aim to improve fire management in urban and rural communities through remote sensing and will track both prescribed fire and wildfires throughout Virginia, North Carolina, South Carolina, Georgia, Florida, Alabama, Mississippi, Louisiana and Texas.
The SE FireMap version 1.0 is a Google Earth Engine product and data sharing is available for conservation and community planning purposes. To see the mapping products or request data sharing, visit the partnerships’ Wildland Fire Portal or the SE FireMap. For more information, the Southern Fire Exchange will host a webinar on April 16, 2021. Follow this link to register.
Peter Krzystek, Professor for Photogrammetry and Remote Sensing at Munich University of Applied Sciences tells about new investigations into the 3D mapping of forests.
Modern remote sensing sensors offer completely new possibilities for an extensive and detailed 3D capture of tree populations, making it possible to map at very large-scale. In particular, LiDAR is today an established technique for fast and highly accurate 3D scanning from the aircraft, helicopter or drone where pulses of visible or near-infrared laser light at a particular wavelength are used to create 3D images. These 3D images are typically made up of a high density of data points, known as ‘point clouds’. The new full waveform technology, which reconstructs the complete path of the laser beam through the vegetation, makes it possible to map the forest structures in 3D more precisely. Moreover, digital aerial cameras enable a detailed reconstruction of the forest surface and provide – if fused with LiDAR data – extra spectral information in the infrared range for a characterisation of the tree species. All in all, these new technologies are ideally suited for the automatic and cost-effective collection and characterisation of forest stands.