Sentence examples for accurate forest from inspiring English sources
Currently, the common and feasible way to estimate the most accurate forest biomass requires ground measurements and allometric models.
In recent years, LiDAR technology has provided accurate forest aboveground biomass (AGB) maps in several forest ecosystems, including tropical forests.
Thus, low-cost and accurate forest productivity assessment can be made, as well as allowing the collection of information in areas not sampled by forest inventory (Morgenroth and Visser 2013).
Timely and high spatial resolution remote sensing observations (in accordance with vegetation recovery rates) and an accurate forest baseline map against which to observe change, were critical inputs to the studies.
Approaching the question of the optimum size to best relate plot data to remote sensing data, Gobokken and Næsset[63] used a Monte Carlo analysis to explore the optimal size of fixed area plots in developing accurate forest inventory estimates.
Results also highlight the importance of analyzing human-induced fragmentation at a variety of selected sites and a range of spatial scales, and producing quality, accurate forest cover and change maps.
Therefore, a consistent and accurate national forest mask is crucial to assess national forest carbon stocks.
The method was verified to be reasonably accurate in forest, grassland and agricultural fields over a four week measurement campaign.
For shifts to be quantified, accurate historical forest disturbance estimates are required as a baseline for examining current trends.
Our results suggest that if the number of sample plots is adequate, i.e. 10 or more stand level inventory will provide accurate enough forest attributes estimates in conservation areas (minimum accuracy requirement of RMSE% is 20%50%%).
Our results suggest that if the number of sample plots is adequate, i.e. 10 or more using plot size 400 m2, stand level inventory will provide accurate enough forest attributes estimates in conservation areas (minimum accuracy requirement of RMSE% is 20%50%%).
