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2018 | 95 | 224-234
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3D Mapping by Photogrammetry and LiDAR in Forest Studies

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Aerial imagery have long been used for forest Inventories due to the high correlation between tree height and forest biophysical properties to determine the vertical canopy structure which is an important variable in forest inventories. The development in photogrammetric softwares and large availability of aerial imagery has carved the path in 3D mapping and has accelerated significantly the use of photogrammetry in forest inventory. There is tremendous capacity of 3D mapping which has been recognized in research, development and management of forest ecosystem. The aim of this article is to provide insights of 3D mapping (photogrammetry including Lidar) in forest-related disciplines. We utilizing the satellite stereo pair and LiDAR point cloud as a case study for producing the anaglyph map and Canopy Height Model (CHM) respectively. The study also revealed the area verses canopy height graph. Present study has some strength because it was demonstrated the use of advance software module of ARC/GIS and Erdas Imagine for 3D mapping using Photogrammetry and LiDAR data sets which is highly useful in forest management, planning and decision making.

Physical description
  • Vindhyan Ecology and Natural History Foundation, Mirzapur, Uttar Pradesh, India
  • Department of Mathematics, Ranchi University, Ranchi, Jharkhand, India
  • Vindhyan Ecology and Natural History Foundation, Mirzapur, Uttar Pradesh, India
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