ηlis Forest using Portable lmaging Lidar Data by Hough Transform

Phyton(Austria)
Spccial issuct
"APGC 2004Ⅲ
Vol.4S
Fasc 4
(525)―(528)
Accurate Estimation of Tree Positions inん
1 102005
αF放 均件
ど
θ″
η l i s Forest using Portable lmaging Lidar Data by
Hough Transform
By
Y URAN01)&K OMASA2)
K c y w o r d st Hough transfonll、
Japancsc larch(と
cr′
た′
ο′
マ
β′
qρ,s)ttnrcst、
ponabic ir11
aging lidar、
rcmotc scnsing、
trcc positioll
S ti nllll a r v
U R A N O Y & O M A S A K 2 0 0 5 A c c u r a t c c slⅢ
llation oftrcc positions ill larix lcptolcpis fbr―
cst using portablc imaging lldar data by hotigh transftannPhyton(Hom、
―
Austria)45(4):(525)―
(528)
It、
vas rcpoltcd in IPCC 2000 that forcst is ollc of thC lllost impOItant carbon sinks oll
Ea“h Forcsts allcviatc cttccts of globalvarming
、
and absorb air pollutants as vcll
、 Esscntially、
ftlrcst in3alnagcilacnt plays an irnpoltant rolc in tackhng cnvironillcntal problcills
Mapping cxact position of trccs in forcst.、
vhich is onc colllpOncnt of forcst illanagcmcnt、
is not casy Duc to ttrcstざ complcx strtictttrc and tilldcrgrowths^mcasuring works arc difictllt and
takc longcr tilllc by mantial lllcthod
in this stildy、
a ground―bascd rclllotc scnsing techniquc to cstilllatc trcc pOsitions in Sorcst
has bccn dcvclopcd ttsing a poltablc illlaging lidar Thc tidar is a portablc lllcastェ
ring illstRlmcllt
、
vhich uscs ncar inara―
rcd lascr Thc lidar systclll is Only cOntrollcd by onc lllan and lllcasurcillcnts
oftrcc positions only takc a shortcr tilllc(l c abOllt 8 11lintltcs)
Nonllally.natural trccs do not gro、
v straight and lcan to Othcr dircctions ln this casc、
thc
lldar can not dircctly tncastirc thc foot of thc trccs bccatisc of thc tindcrgro、
vths Hcncc thc trcc
olll thc ccntcr of thc stcill at nlcastirablc licight(in l130St Cascs thc
POSitiOns that wcrc cstilllatcd針
lllcastlrablc hcight is 2 111 or illorc)arc qtlitc dittcrcnt fronl thc
lal actモ
trcc position and thc cl■
or iS
aboll1 0 8i nl lll RMSE(Root Mcan Sqtiarc Error)A Hollgh trallsbrm illcthod Was thcrcttrc tiscd
to cnablc thc lllcaStircincnt of icallingvcll
trccs
as as、
thosc covcrcd、
VthS
ith thick tindcrど
ro`
Ⅲ
Dcpartlllcnt of Agro―
Environnicntal Scicncc. TakushoktェUllivcrsity Hokkaido Jullior
va、Hokkaido 074-85ぷ S. Japan Fax i +81-164-23-4411、 c i13all:
Collcgc、4558 Mcmti、 Ftlkaga、
uran o“
takuShOku―
hc acJp
: Dcpanlllcllt Of Biological and EllvirolllllCntal Enginccrinど
、Thc Uni、rcrsitv of Tokvo l―
1_1 rayoi.
ヽ
Btlllkyo.Tokyo l13-8657、
Japan Fax: +81-3-5思
41-817S c illailt aolllasa“
で11lail ccc tト
的k y o a c J p
(526)
By cornparing thc cstimatcd trcc positions using Hough transforlll and thc mantial mcas―
urements of 24 trees in about 1200 m= Japanese larch(と
`′
′
ll qβ
′′
θ′
qβな)10rcst, statistical icsults
vcd an accuracy of0 16 m in RMSE
sho、
Introduction
An establishcd practicc of mcasuring trcc position is by thc use of somc
traditlonal incasuring instltlments such as mcasuring tapcn Clinometcrs‐
and pOckct
compasscs(AvERY&BURKHART 1983,HuscH&a1 1982,NAGUMO&MINOWA
1990,NIsHIo 1998)HowcVCr,thc usc of thcse inethods is difflcult and cntalls too
much timc and manpowcr(JAPAN ASSOCIATION OF FORESTRY
TECHNIQUE 1998)Hencen measurements of each tree by airbome lidar systcm
were studied(OMASA&a12000,2003)and nlCasurcmcnts of cach trcc by ground―
bascd portablc imaging lidar havc bccn cxamined(OMASA&a1 2002.URANO&
OMASA 2003),whiCh rcvcalcd thatthc mcasurcments were much casicr and did not
nccd much manpo、 vcr
Bascd on thc rcsults‐lllcasurcmcnt clrors comparing to actual trcc posi―
tions mcasurcd by cxisting mcthods using traditional instrtlments、vere 0 81 m in
RMSE(Root Mcan Squarc Error)(URAN0 2004)An attcmpt was thcrcforc madc
to fllrther improve this acctlracy Bccausc tree position uFaS regarded as thc ccntcr
oftree stem at a height,if a trcc lcans to othcr dircctions.thc trcc position、
vill bc
dittcrent fronl thc actual dcpcnding on lcaning degrec and measurement hcight
v c dcvclopcd a method using Hough translom to con―
Consequently,in this study、
sider leaning trees and so improvc thc cstimation oftree positlons in Japancsc larch
“
′
(とα′ホ ′
lr'rο
響 is)foreSt With thick undergrOwths using a poHablc imaging lidar in
order to detect trec positions of cach Japanese larch by the lidar on the ground.
cach stcnl、vas mcasurcd at rnuch highcr level frolll thc bottonl duc to forcsts'com―
plex strtlcture and undcrgroM/ths
Matcrial alld Mcthods
A Japancsc larch forcst、
vith thick undcrgro、
vths、
vas sclcctcd fljr thc study Thc forcst has
bccll lllanagcd ftar ccological sttidics for ycars Trccs arc about 40 ycars old
lt and
13 to
abo、
15 11l in
hcight in this torcst、
24 Japancsc larchcs in an arca of about 1200 111=、
vcrc lllcaSurCd usillg 、
LP卜
425HA a poltablc llllaging lidar systcnl produccd by RIEGL Its lllcast11■
blc rangc is bct、
c cn 2 111
and 60 m 、vith rangc accuracy of about 8 nllll. and horizontal and vcnical anglllar acctiracics arc
0 009 dcgrccs Thc lidar、
vas sct at a point、
vhcrc it can rccognisc as illany Japancsc larchcs as pos―
siblc lll thc arca Thc iand gradicnt、
vas conil■
llcd by incas、
lrinどa point on thcど
round frolll pltiral
dircctions by thc lidar Firstl、
vc dctcctcd thc stclll shapc of cach trcc tising 3-dilllcnsional datti ob―
t a i n c d b y t h c l i d a r T h c s t c l l l c c n t c r aA s にa
w h idc hb、
y t h c s t c m s h a p c a t a l l l c a s u r a b i c ahsc i g h t . 、
cstilllatcd by a 11lcthod dcscribcd by OMASA&a1 2002 1n ordcr to cstilllatc acctiratc trcc positions、
which mcant thc ccntcr of thc trcc bottolll、wc uscd Hough transゴ onll(H()UGH 1962、 NAKAGAヽ IA
1999)ヽ lsinどpoints of stcm ccntcrs in 3-dimcnsional coOrdinatc(Fig l )ThC intcrscction point
vccn thc linc calctilatcd by Hoに
bct、
lgh tratlsfor】
vas rcどardcd as thc trcc
n alld thc grotind surfacc 、
positlon
(527)
T群
1μ
群
シ
Stelll centers
E ︶ 〓 智 宮 一ゥ宮 ト
︵
Trcc
p蕊品n/―…'HOugh iine
()2 ()4
()6
08
1()
Rcla市
、c 、一
a 、i s ( m )
tirc
Fig i Estilllation of a trcc PoSitiOn inaxis
x― by Hotigh transfol■
ll Althotigh this tlど
ht)
vs x―
is y一
alld hciど
ollly sho、
axis and hctgh〔
and
キlidal data includc 3-dilllclls10nal coordinatcs(x a、
Rcsults and Discusslon
vs thc distriblltion of trccs at thc study sitc As a rcsult,cstima,
Fig 2 sho、
tion by Hough transform 、vas morc accurate than cstimation by cxisting mcthod
vith
comparing to thc actual Fig 3 sho、
v s thc crlor variations of both cstilllatlons、
distancc from thc lidar Thc cFOrS Ofthe estinlation by cxisting lllcthod arc incrcas―
ing as thc distancc命
olll thc lidar bccomcs lollgcr This is cxpcctcd sincc tllc accu―
racy of cxisting illetllod bccomcsvorsc
、 as tllc distancc ionl thc lidar bccollacs
ionger On tlle othcr hand、
cstilllation by Hollgh transforttl illlprove the accuracy
ドcd an sho、
racy
rcgardlcss ofthc distance flonl thc lidar Both statistical rcsilits
accl〕
of0 81 m and 0 161n in RMSE.rcspcctively
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Fig 2 Trcc positlon lllap OfJapancsc larch lorcst X axis
and v―
illctan rciati、
c cooiditlatcs
Vn Ⅲ
■Ⅲill thc tlgttrc
on thc grotilld surfacc as thc lidar sct point is 、
thc origill(、
y)=(00)ShOヽ
(528)
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Conscqucntly,this study concllldcd that nlcastlrcmcnts by thc lidar and cs―
tilllations by Hotlgh transfornl、
vcrc rc8ardcd as an accuratc mcthod to dctcct trcc
vith thick undcrgrowths This nlcthOd also givcs Othcr advan―
posttions in a forcst、
tagcs stich as fc、
v、vOrkcrs arc llccdcdn takcs lcsser tiine and no spccial skilis and
trainings arc rcquircd
R cfcrcnccs
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