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This special issue of Forest Science, SAF’s internationally renowned forestry research journal, includes a dozen papers by many of the most important researchers in the remote sensing field.
Although remote sensing has been an integral part of forestry since the operational integration of aerial photographs into forest inventory in Canada in the 1920s, the rapid pace of sensor development and information needs in the past three decades has led to an explosion of forestry remote sensing research and applications.
“Demands on forests are increasing and the information required to sustainably manage forests in the face of this demand must also increase,” writes Randolph Wynne, associate professor of forestry at Virginia Tech and editor of the special issue. “Foresters are being asked to increase production of wood and fiber on an ever-decreasing land base while concomitantly maintaining the important supplies of public goods (viable fish and wildlife populations, clean water, and recreational opportunities) that well-managed forests have always provided. To meet this challenge, forest managers will require new types of information, and remote sensing will be an important piece of the overall information puzzle. The research results reported in this special issue of Forest Science will eventually lead to better information on, and therefore better management of, our forest resources.”
The papers in this special issue are a cross-section of the scope of data and applications in forestry remote sensing. Remotely sensed data types include aerial photographs, lidar data, hyperspectral images, radar data, and Earth resource satellite data. The data is being used for forest inventory, ecological land type delineation, harvest detection, chlorophyll mapping and monitoring, windthrow detection and mapping, and global forest cover mapping.
All papers were peer reviewed under the guidelines of Forest Science and first published as a special issue of that publication in June 2003. 148 pages, softcover
