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首页> 外文期刊>American journal of applied sciences >Individual Species Crown Mapping in Taman Rimba Ilmu, University Malaya Using Airborne Hyperspectral Imaging | Science Publications
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Individual Species Crown Mapping in Taman Rimba Ilmu, University Malaya Using Airborne Hyperspectral Imaging | Science Publications

机译：使用机载高光谱成像技术在马来亚大学塔曼林巴伊尔穆的单个物种冠图绘制科学出版物

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> Problem statement: Accurate, current and cost-effective individual standing tree data are required by forest management communities for use in forest inventory over large areas. Currently, most of the forest mapping process is done directly on the ground using many technique such as the bearing-distance and also the other technique that use the computer software as a support, such as Tree MapperTM. Instead of ground data collection and where there are difficulties in reaching the individual trees, hyper spectral remote sensing technology is the best option to map the tree positions. Approach: A novel approach to generating an individual tree crown mapping estimated for a lowland dipterocarp forest of Taman Rimba Ilmu, University Malaya, Kuala Lumpur using an airborne hyperspatial (1 m2 ground resolution) imager was presented. Results: A total of 297 individual tree crowns comprising of 83 Xylopia sp., 79 Ixonanthes sp., 56 Hevea sp., 15 Streblus elongates, 14 Pellacalyx sp., 12 Endospermum diadenum, 11 Macaranga gigantea, 10 Cratoxylum sp., 10 Cannarium sp. and 7 Ixonanthes icosandra were identified and delineated as individual polygons in a study area plot of 2 ha. Conclusion/Recommendations: It was found out that individual tree crowns in University Malaya can be detected and counted with reasonable field measured to image derived mapping accuracy of 98.65%. This study implied that acceptable individual tree crown classification maps and algometric equations relating diameter at breast height (dbh) or crown area to biomass can be used to generate timber volume estimates with established crown-diameter-volume correlations.
机译： > 问题陈述：森林管理社区需要准确，当前和具有成本效益的独立立木数据，以用于大面积的森林清查。当前，大多数森林制图过程都是使用许多技术直接在地面上完成的，例如方位距离，以及使用计算机软件作为支持的其他技术，例如Tree Mapper TM 。高光谱遥感技术不是绘制地面数据并且难以到达单个树木的地方，而是绘制树木位置的最佳选择。 方法：一种新颖的方法，该方法使用空中超空间（1 m 2 ）为吉隆坡马来亚大学塔曼林巴伊尔穆（Taman Rimba Ilmu）的低地龙脑香林估计单个树冠图。地面分辨率）成像仪。 结果：总共297棵单独的树冠，包括83个 Xylopia sp。，79个 Ixonanthes sp。，56个 Hevea sp。，15个 Streblus伸长，14个 Pellacalyx sp。，12个 Endospermum diadenum ，11个 Macaranga gigantea ，10个 Cratoxylum sp。，10 Cannarium sp。在2公顷的研究区域中，将7个 Ixonanthes icosandra 标识为单个多边形。 结论/建议：研究发现，可以在合理的视野下对马来亚大学的单个树冠进行检测和计数，得出的图像制图精度为98.65％。这项研究表明，可以使用可接受的单个树冠分类图和将胸高（dbh）或树冠面积的直径与生物量相关联的算法方程，以建立树冠直径-体积相关性的木材体积估计值。

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