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Airborne Lidar technology in support of forest management

As a renewable resource, forest quantity and quality can be improved through management activities, especially for plantations. Good management operation need reliable forest stand information and dynamic monitoring. During the past two decades, the lidar-derived fine-resolution forest parameter information, which usually shown as gridded cells with attributes like height and density, has been used operationally for forest stand maps. The forest stand map provide is the fundamental information at operational forest management planning unit. Meanwhile, high resolution aerial photos are used successfully to segment into the forest stand polygons. The hyperspectral spectrum data provide species composition information for these forest polygons. These provide the fundamental information for forest management planning. After the management activities have been operated, the ALS technologies can be used to evaluate the implementation and effects together with other imagery sensed data. We used the CAF’s LiCHy (LiDAR, CCD and Hyperspectral Integrated Airborne Observation System) to estimate several typical forest parameters in the North and South of China, including species composition, dominate height, crown base height mean height, volume density, biomass, and canopy closure. The operations including pruning and thinning were also monitored and evaluated. After the stratification with species group information from hyperspectral image, the overall accuracies are over 90% for mean height and volume density. The management operations also showed clear patterns vertically or horizontally.

Yong Pang
Chinese Academy of Forestry
China

Wen Jia
Chinese Academy of Forestry
China

Zengyuan Li
Chinese Academy of Forestry
China

 


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