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paper17845524013651101153198238
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Engineer,14525862013665120168197252297342382407
Stinger1884586201365691120175223268308
Ghaffarian22175862013670125175205235285325353403458
Technologies4905987013660105145200255300328373422450495537
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Contractor13485987013665110165200240290330365410450
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practices/guidelines3347348901365191141181216245285330371396445500528580625653681736781823
document4195348901365297137192272317372407
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Guidelines49053489013670125153205250278307362407448
on53783489013645100
Geometric31503608013670115160240285320360388428
Accuracy36033608013665105145200240290330379
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Quality41883608013670125175204232267315
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Lidar4628360801366089140190230
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QA/QC52833608013670135160230295
processes.3150372801365292137177222263305350392417
These35923728013660115160201246
efforts3863372801364575105150190225267
broadly4155372801365090135185237265313
fall4493372801363080109137
under46553728013655110162207247
the4927372801363590135
following5087372801363075103131176246275330378
steps:5490372801364277122173215240
•32503848013655
Defining33503848013670115143170225253308357
procedures3732384801365191136176221273328368413455
for4212384801363075114
measuring43523848013680125175216271311340395443
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defining4878396801365297124152207235290339
three5242396801363590130175220
Data54873968013670120155205
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(DQMs)41184088013630100170255297327
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the3837420801363590135
use3997420801365596141
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natural37974328013655105140195235285313
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the5500432801363590135
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the3837456801363590135
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lidar5463456801362957109159199
system3350468801364290132167212292
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These32504808013660115160202247
steps3522480801364176121173215
are3762480801365090135
encapsulated39224808013645100140190241283338366416451496548
in4495480801362883
the4604480801363590135
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shown5242480801364297142212267
in3150492801362883
Figure3258492801366089137192232277
1.3560492801365075
The36604928013660115160
framework3845492801363070120200245315360400453
is4324492801362870
designed4419492801365196138166215270315366
such4810492801364297137192
that5027492801363590140175
the5227492801363590135
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the4038504801363590135
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inter-swath4827504801362883118163203233275345395430485
and53375048013650105156
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lidar3655516801362857108158198
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are4090516801365090135
independent4250516801362984135180232277332384429484519
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instrument.4908528801362984125160200255335380435470495
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the3568540801363590135
three3728540801363590130175220
steps,3973540801364277122174215240
most42385408013680125167202
of4465540801364575
the4565540801363590135
efforts4725540801364575105150190225267
of5017540801364575
the5117540801363590135
Cal/52775408013665115143168
Val31505528013665115143
Working33185528013689134174227255310359
Group37025528013670110155210261
have39885528013655105154199
focused4212552801363075115170211256308
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methodologies50335528013680125160215260312357385430479507552594
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to3808564801363580
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the4295564801363590135
inter-swath4455564801362984119164203233275345395430485
goodness4965564801364994139190245290332374
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lidar3525576801362857108158198
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many46425768013680130185233
organizations4900576801364585134184239267310360395424469524565
specify3150588801364293138178207237285
requirements3460588801364085135190218258303383428483518560
for4045588801363075115
inter-swath4185588801362883118163203233275345395430485
accuracy4695588801365090130185225275315363
(Heidemann50835888013630105150178230275355405460515
2012),31506008013650100150200230255
or3430600801364585
ask3540600801365092145
for3710600801363075115
calibration3850600801364090119147197237287322350395450
reports4325600801364085137182222257299
or4649600801364585
generic4759600801364893148193233261301
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(NGS36536128013630104174230
2009;39086128013650101151201226
NGA41596128013673143208
2012).43926128013650100150200230255
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these5090612801363690135177222
specifications5337612801364294139178315062480136285683123173208237282337378
do3553624801365297
not36756248013655100135
detail3835624801365297132182210238
how4099624801365599170
the4294624801363590135
testing4454624801363580121156185240288
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be5069624801365095
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are4023636801365090135
acceptable,4183636801365190130175227262312362391436461
etc.4669636801364580120145
Therefore,48396368013660115160200245275320359404430
there5294636801363590135174219
is3150648801362870
no32456488013655100
widely3370648801367098150195223272
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data.50956608013652102137187212
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is5428660801362970
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that3537672801363590140175
the3737672801363590135
ASPRS38976728013665121181246303
approved42256728013650102153193238287332383
document4633672801365297137192272317372407
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the5205684801363590135
quality536568480136501051551843150696801362863112
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lidar3387696801362856108158198
data,36106968013652102137187212
which38476968013670125153193248
will4120696801367099127155
improve43006968013629109160200245294339
the4664696801363590135
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