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Application of LiDAR Data & High-Resolution Satellite Image for Calculate Forest Biomass
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 Title & Authors
Application of LiDAR Data & High-Resolution Satellite Image for Calculate Forest Biomass
Lee, Hyun-Jik; Ru, Ji-Ho;
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 Abstract
As a result of the economical loss caused by unusual climate changes resulting from emission of excessive green house gases such as carbon dioxide which is expected to account for 5~20% of the world GDP by 2100, researching technologies regarding the reduction of carbon dioxide emission is being favored worldwide as a part of the high value-added industry. As one of the Annex II countries of Kyoto Protocol of 1997 that should keep the average emission rate of 5% by 2013, South Korea is also dedicated to the researches and industries of emission reduction. In this study, Application of LiDAR data & KOMPSAT-2 satellite image for calculated forest Biomass. Raw LiDAR data`s tree numbers and tree-high with field survey data resulted in 90% similarity of objects and an average of 0.3m difference in tree-high. Calculating the forest biomass through forest type information categorized as KOMPSAT-2 image and LiDAR data`s tree-high data of tree enabled the estimation of absorption and forest biomass of forest type, The similarity between the field survey average of 90% or higher were analyzed.
 Keywords
LiDAR data;High-Resoultuon Satellite Image;Forest Biomass;
 Language
Korean
 Cited by
1.
북한 지역 UN-REDD 등록 타당성 분석을 위한 위성영상 활용 : 금강산을 사례로,최진호;엄정섭;

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2.
산림 바이오매스를 산정하기 위한 위성영상의 분석,이현직;유지호;유영걸;

한국지형공간정보학회지, 2013. vol.21. 3, pp.63-71 crossref(new window)
3.
산림바이오매스 활용을 위한 데이터베이스 및 시스템 설계,이현직;구대성;유지호;

한국지형공간정보학회지, 2013. vol.21. 4, pp.13-20 crossref(new window)
4.
고밀도 LiDAR 자료를 이용한 산림자원 추출에 관한 연구,최영락;이종신;윤희천;

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5.
Calculation of Tree Height and Canopy Crown from Drone Images Using Segmentation,;;;;;;

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1.
Application of Satellite Image to Evaluate UN-REDD Registration Potential of North Korea : a Case Study of Mt.Geumgang, Journal of Korean Society for Geospatial Information System, 2012, 20, 4, 77  crossref(new windwow)
2.
Analysis of Satellite Images to Estimate Forest Biomass, Journal of Korean Society for Geospatial Information System, 2013, 21, 3, 63  crossref(new windwow)
3.
Calculation of Tree Height and Canopy Crown from Drone Images Using Segmentation, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 2015, 33, 6, 605  crossref(new windwow)
4.
Estimation of forest canopy height using orthoimage-refined digital elevation models, Landscape and Ecological Engineering, 2015, 11, 1, 73  crossref(new windwow)
5.
Extraction of Forest Resources Using High Density LiDAR Data, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 2015, 33, 2, 73  crossref(new windwow)
6.
Design of Database and System for Application of Forest Biomass, Journal of Korean Society for Geospatial Information System, 2013, 21, 4, 13  crossref(new windwow)
 References
1.
고신영, 2010, LiDAR를 이용한 산림 $CO_{2}$흡수량 산정연 구, 전북대학교 대학원 석사학위 논문.

2.
김소라, 이우균, 곽한빈, 최성호, 2009, KOMPSAT-2 영상을 이용한 산림의 이산화탄소 흡수량 추정, 2009 한국임학회지, 제98권, 제3호, pp.324-330.

3.
김현, 2010, GIS.RS 기법을 이용한 전라북도 산림의 바이오매스 추정, 전북대학교 대학원 박사학위논문.

4.
손영모, 이경학, 김래현, 표정기, 박인협, 손요환, 이영진, 김춘식, 2010, 산림 온실가스 인벤토리를 위한 주요수종별 탄소배출계수, 국립산림과학원.

5.
우충식, 윤호중, 정용호, 2007, 산지토사재해 발생구간 분석을 위한 항공사진 DTM에서의 수목필터링, 2007 한국지리정보학회지, 제10권, 제3호, pp.22-30.

6.
유지호, 2010, 고해상도 위성영상을 이용한 3차원 스마트 주제도 생성, 상지대 대학원 박사학위 논문.

7.
이현직, 유영걸, 유지호, 2009, 고해상도 위성영상 기반의 정밀 주제도 제작, 2009 한국지형공간정보학회 춘계학술대회 논문집, pp.258-260.

8.
임종수, 한원성, 황주호, 정상영, 조현국, 신만용, 2009, 위성영상자료 및 국가 산림자원조사 자료를 이용한 산림 바이오매스 추정, 2009 대한원격탐사학회지, 제25권, 제4호, pp.311-320.

9.
장안진, 김형태, 2008, 항공사진과 Lidar 데이터를 이용한 산림지역의 바이오매스 추정에 관한 연구, 2008 한국지리정보학회지, 제11권, 제3호, pp.166-173.

10.
Dirk Tiede, Christian Hoffmann, 2006, Process Oriented Object-Based Algorithms for Single Tree Detection using Laser Scanning, 2006 3D remote Sensing in Forestry, Vienna.

11.
Felix Morsdorf, 2004,, Lidar-Based Geometric Reconstucuion of Boreal Type Forest Stands at Single Tree Lever for Forest and Wildland Fire Management, 2004 Remote Sensing of Environment, vol.92, Issue 3, pp.353-362. crossref(new window)

12.
John R, Jensen. 2004, Introductory Digital Image Processing: A Remote Sensing Perspective, Person College Div.