The Very High Resolution (VHR) imagery obtained from Unmanned Aerial Vehicle (UAV) has the potential to generate huge and comparably wealthy information on forest trees than the traditional forest inventories. Due to its effectiveness in providing faster and practically more reliable measurements on individual trees, UAV data has now been highly utilized in forestry applications. In the present study, VHR images from a UAV covering an area of about 0.35 km2 were used to estimate the tree heights and their crown diameter from a moist deciduous forest. UAV images with an average ground sample distance of 11.86 cm are processed for generating point cloud, Digital Elevation Model (DEM), Digital Terrain Model (DTM), ortho-images, and Digital Surface Model (DSM). From the generated DTM and DSM, Canopy Height Model (CHM) is obtained after which local maxima filter has been applied for raster smoothening to detect the crown top from which the individual tree heights were estimated. The diameter of the tree crown is assessed using the Inverse Watershed Segmentation (IWS) method. The result of this study shows that the trees present in the Kalesar forest area have a maximum height of 46 m. The result of this research is highly useful for the planners and decision-makers in biomass estimation and forest management.


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    Title :

    Estimation of Forest Tree Heights and Crown Diameter Using High Resolution Images from UAV: A Case Study of Kalesar, Haryana


    Additional title:

    Lecture Notes in Civil Engineering



    Conference:

    International Conference on Unmanned Aerial System in Geomatics ; 2019 ; Roorkee, India April 06, 2019 - April 07, 2019


    Published in:

    Proceedings of UASG 2019 ; Chapter : 22 ; 253-263


    Publication date :

    2020-02-23


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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