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Web-LiDAR Forest Inventory: LiDARstand3D application

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Forest Inventory

Be the first to like this. No Downloads. Views Total views. Actions Shares. This result relates to the spacing being used in the plantation 4 x 3 , suggesting that if spacing is reduced in the study site, the 3 x 3 filter may have better performance while the 5 x 5 filter, worse. Results are also very satisfactory in relation to Norway Spruce and Scots Pine forests in the work of Maltamo et al.

The result found by McCombs et al. Morsdof et al. This is partly due to canopy outspreading spacing between tree crowns is often less than 1 m. Other results can be found in Koch et al. Results reveal an accuracy of Despite proving more effective with 3 x 3 filtering than IDW Tables 2 and 3 , TIN was not thought of as ideal, since all Errors were higher than with 5 x 5 filtering, demonstrating that the latter is more suitable for the tree spacing being studied.

It was noted that TIN interpolation tends to misrepresent the shape of tree crowns, as they tend to be rendered triangular Figures 5j , 7i and 7j inside the red square. IDW interpolation, in turn, tends to preserve the shape of tree crowns, as illustrated in Figure 6 , as a result of the high resolution optical image.

Another point to note is that when only canopy information is evaluated, a greater error is generated than when information is evaluated of combined canopy with branches and undergrowth for the entire population Figures 7a to 7j. This difference was found to be due to trees having impaired height growth as a result of a soil or fertilization condition, causing them to be suppressed in relation to the rest of the population.

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This assertion is illustrated by Figures 5a to 5e , which show that trees below canopy height level were not detected in the dominant tree layer. By removing the error obtained from analysis of the population in relation to 1st pulse information excluding soil, it was found that it is possible to generate a percentage of suppressed trees in the stand, as illustrated in Table 6 and in situations found in Figures 5 and 7. Another important observation was that besides the number of trees present in the stand, height information which is more difficult to obtain and often less precise in forest inventories is also generated for each tree detected.

The above information can be very useful for assessing stand quality and site quality and for improving volume modeling, since suppressed trees will have less volume than the rest of the population. It was possible to generate a specific methodology to obtain forest inventory data, more specifically to do tree count in stands of Eucalyptus sp.

Forest Inventory: Methodology and Applications

For that, it was essential to use only information on branches and crown canopy, as obtained by using 1st pulse LIDAR data. The 5 x 5 local maximum filter succeeded in detecting treetops, allowing tree count in stands aged 3 years, providing an error of trees 1.

Inverse distance weighted interpolation IDW proved more effective than the triangulated irregular network TIN procedure in characterizing tree canopy status for Eucalyptus sp. With the proposed methodology, it was possible to indicate the number of suppressed trees in cloned stands of Eucalyptus sp. There are many challenges yet to be faced in order to use the full potential of information provided by LIDAR.

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Other studies should be conducted in order to evaluate this methodology for different stand ages, tree spacing and topographic conditions. Principles of geographical information systems. New York: Oxford University, Lavras: UFLA, Mapping and monitoring forest remanants: a multi-scale analysis of spatio-temporal data. Thesis Ph. CROW, P.

Woodland vegetation and its implications for archaeological survey using LiDAR. Forestry , Amsterdam, v. Scientia Forestalis , Piracicaba, n. Estimation of forestry stand parameters using laser scanning data intemperature, structurally rich natural European beech Fagus sylvatica and Norway spruce Picea abies forests. IOKI, k. Estimating stand volume in broad-leaved forest using discrete-return LiDAR: plot-based approach.

Landscape Ecological Engeneering , London, v.

Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp

Sensoriamento remoto do ambiente: uma perspectiva em recursos terrestres. JUPP, D. Estimating forest LAI profiles and structural parameters using a ground-based laser called Echidna. Tree Physiology , Amsterdam, v. This book has been developed as a forest inventory textbook for students and could also serve as a handbook for practical foresters.

We have set out to keep the mathematics in the book at a fairly non-technical level, and therefore, although we deal with many issues that include highly sophisticated methodology, we try to present first and foremost the ideas behind them. For foresters who need more details, references are given to more advanced scientific papers and books in the fields of statistics and biometrics. Forest inventory books deal mostly with sampling and measurement issues, as found here in section I, but since forest inventories in many countries involve much more than this, we have also included material on forestry applications.