Carine Klauberg

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
BACKGROUND LiDAR remote sensing is a rapidly evolving technology for quantifying a variety of forest attributes, including aboveground carbon (AGC). Pulse density influences the acquisition cost of LiDAR, and grid cell size influences AGC prediction using plot-based methods; however, little work has evaluated the effects of LiDAR pulse density and cell size(More)
Titica vine provides useful raw fiber material. Using sampling schemes that reduce sampling error can provide direction for sustainable forest management of this vine. Sampling systematically with rectangular plots (10 × 25 m) promoted lower error and greater accuracy in the inventory of titica vines in tropical rainforest The titica vine (Heteropsis spp.)(More)
  • 1