Forest and Grassland Resources Research >
Subalpine Coniferous Forest Crown Information Automatic Extraction Based on Optical UAV Remote Sensing Imagery
Received date: 2017-04-25
Revised date: 2017-05-25
Online published: 2020-09-24
As the main part for trees to obtain light energy and convert energy,crown plays an important role in monitoring tree growth,estimating tree biomass and so on.Timely and accurate acquisition of crown parameter information can help to study tree growth status and forest dynamic changes,and improve forest management effectively.With superiorities of low cost,safety,flexible take-off and landing,ability to fly under cloud,hyper spatial image resolution,UAV (Unmanned Aerial Vehicle) remote sensing is very suitable for obtaining remote sensing imagery of crown of subalpine coniferous forest.We extracted tree crowns and crown parameters such as the transmeridional crown,north-south crown,number of trees per unit area,and density of subalpine coniferous forest in one region of Sichuan Gongga Mountains from fixed-wing UAV images based on object-based image analysis method.The visual interpretation result was taken as reference data to verify the precision.The results showed that extraction accuracies of transmeridional crown,north-south crown,number of trees per unit area,density were 0.77,0.86,0.99 and 0.92 respectively.This result indicated high effectiveness and reliability of forest crown information automatic extraction based on optical UAV remote imagery,and UAV remote sensing can meet the demands of evaluating subalpine coniferous forest growth status and monitoring dynamic changes.
Meimei WANG , Jiayuan LIN , Yi LIN , Yi LI . Subalpine Coniferous Forest Crown Information Automatic Extraction Based on Optical UAV Remote Sensing Imagery[J]. Forest and Grassland Resources Research, 2017 , 0(4) : 82 -88 . DOI: 10.13466/j.cnki.lyzygl.2017.04.013
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