H Ruopu Li , Ph.D. Assistant Professor Department of Geography and - PowerPoint PPT Presentation

ASMR 2017 Mo rg a nto wn, WV April 11, 2017 GE OCODING L OCAT IONS OF HIST ORIC RE CL AMAT ION RE SE ARCH SIT E S USING GOOGL E E ART H Ruopu Li , Ph.D. Assistant Professor Department of Geography and Environmental Resources Southern Illinois University-Carbondale

I NT RODUCT I ON • T he Ame ric a n So c ie ty o f Mining a nd Re c la ma tio n (ASMR) ha s b e e n pub lishing a nnua l c o nfe re nc e pro c e e ding s a nd jo urna l a rtic le s. • Aro und 30 ye a rs o f c o lle c tio n o f lite ra ture o n mining re c la ma tio n • Ma ny re se a rc h site s we re do c ume nte d b ut we re no t g e o c o de d • Mo re e ffic ie nt use o f the ASMR re so urc e s is a ffe c te d • Go o g le E a rth c a n pro vide a pla tfo rm fo r g e o g ra phic da ta sha ring , ma shup a nd e xplo ra tio n. • E a sy to use a nd fre e ly a va ila b le • Pla c e ma rks c a n b e inte g ra te d into a we b pa g e fo r we b ma p displa y • T he da ta fo rma t is wide ly suppo rte d

PROJE CT GOAL S • T o pro vide q ua lity-a ssure d g e o g ra phic re fe re nc e to pro c e e ding pa pe rs pub lishe d b y the ASMR during 1988-1997 (1028 pa pe rs) • T o pro vide tra ining o ppo rtunitie s o f g e o spa tia l te c hniq ue s fo r unde rg ra dua te a nd g ra dua te stude nts

ME T HODOL OGY

ME T HODOL OGY Ste p 1: Ma nua l inte rpre ta tio n a nd info rma tio n inputs • Re a d title s, a b stra c ts, full te xts, a nd ma ke a pla c e ma rk • E a c h stude nt wa s a ssig ne d with two ye a rs o f pro c e e ding s • A g ra dua te a ssista nt he lpe d inspe c t the da ta q ua lity • K ML o r K MZ da ta fo rma t • De ve lo p a pro je c t tuto ria l a nd ha ve mo nthly me e ting s to a ddre ss c o mmo n issue s a nd e nsure the pro g re ss

ME T HODOL OGY Ste p 2: L o a d the K ML / K MZ file s into a g e o da ta b a se • Using Arc GI S so ftwa re • K ML to L a ye r to o l • Re fo rma t the da ta with multiple fie lds • Arc GI S F ie ld c a lc ula to r • E rro rs c he c king a nd fixing Ste p 3: Da ta o rg a niza tio n a nd o utputs • K ML da ta o rg a nize d a s ye a rs a nd te c hnic a l divisio ns • E xc e l spre a dshe e t re q uire d b y the ASMR

RE SUL T S K ML / K MZ F o rma t MS E xc e l F o rma t

RE SUL T S A to ta l o f 765 pla c e ma rks

Unite d State s: 634 (82.8% ) Canada: 66 (8.6% ) Austr alia: 19 (2.5% ) Gr e at Br itain: 15 (2% ) ASMR Pr oc e e ding Site s 1988- 1997

DAT A QUAL I T Y • Qua lity Assura nc e a nd Qua lity Che c k (QAQC) • Po sitio na l a c c ura c y, a ttrib ute a c c ura c y, lo g ic a l c o nsiste nc y a nd da ta c o mple te ne ss we re c he c ke d • T hre e ste ps fo r da ta q ua lity a ssura nc e • Stude nt wo rke rs first c he c ke d the typo s, po sitio na l c o rre c tne ss, fo rma tting c o nsiste nc y a nd da ta c o mple te ne ss b e fo re the ir sub missio n; • T he g ra dua te a ssista nt c he c ke d the q ua lity o f the pro duc ts a nd pro vide d fe e db a c ks to the stude nt wo rke rs; • T he pro je c t PI inspe c te d the e ntire da ta se t a nd fixe d a ny ide ntifie d pro b le ms. • T he spa tia l a c c ura c y o f the pla c e ma rks still va rie s, de pe nding o n the de ta ils a va ila b le in the pa pe rs.

HOW T HI S PROJE CT BE NE F I T E D ST UDE NT S • I nvo lving a to ta l o f 5 unde rg ra dua te a nd 2 g ra dua te stude nts (inc luding my RA) thro ug h the SI U GI S Club • 6 stude nts re po rte d the re sults to the RA b i-we e kly • T he RA re po rte d to the pro je c t PI • Stude nts re c e ive d tra ining a nd a tte nde d pro je c t me e ting s re g ula rly • L ink c la ssro o m kno wle dg e to the re a l-wo rld pro b le m so lving • Addre sse d stude nts’ fina nc ia l ne e ds • Stre ng the ne d stude nts’ re sume s to c o mpe te in the jo b ma rke t SI U GI S Club

F UT URE DI RE CT I ON • T he ASMR pro c e e ding c o ntrib uto rs sho uld pro vide L a titude / L o ng itude a lo ng with the ir pa pe r sub missio n using Go o g le E a rth • Alte rna tive ly, a n e a sy-to -use o nline to o l c a n b e de ve lo pe d a nd inte g ra te d with the ASMR jo urna l we b site • Ma nua l inte rpre ta tio n is va lua b le …But no t e ffic ie nt • Optic a l c ha ra c te r re c o g nitio n (OCR) + Ma c hine L e a rning -> a uto ma tic g e o c o ding ? ? • F o rma tting issue s • Ho w to ma tc h mo re e xa c t lo c a tio ns? (inste a d o f the c e ntro ids o f a to wn)

SUMMARY • T his pro je c t pro duc e d a to ta l o f 765 pla c e ma rks c a te g o rize d b y ye a rs a nd te c hnic a l divisio ns using Go o g le E a rth; • T he da ta we re pro duc e d a s the K ML / K MZ a nd MS E xc e l fo rma ts to me e t the ne e ds o f the ASMR; • T he da ta we re tho ro ug hly QA/ QC’ e d; • T his pro je c t pro vide d va lua b le e duc a tio na l o ppo rtunitie s fo r stude nts.

ACK NOWL E DGME NT • We a ppre c ia te the g e ne ro us funding suppo rt fro m the Ame ric a n So c ie ty o f Mining a nd Re c la ma tio n • T he e ffo rts fro m the fo llo wing SI U stude nts we re ke y to the c o mple tio n o f this pro je c t: T a rig Mo ha me d, Bra ndo n Po lk, Ana sta sia Ma ra nto , K a itlyn Ho ltsc la w, Ja to ya Ha le , a nd E liza b e th Wilso n.

T HANK YOU • Que stio ns? • Co nta c t: • Ruo pu L i, So uthe rn I llino is Unive rsity-Ca rb o nda le • Ruo pu.L i@ siu.e du

10 T e c hnic al Divisions 10 Ye ar s of Confe r e nc e s 1 Wa te r Ma na g e me nt - mine wa te r tre a tme nt Wa te r Ma na g e me nt - hydro lo g y 2 E c o lo g y 3 F o re stry/ Wildlife 4 Ge o te c hnic a l E ng ine e ring 5 T a iling s 6 L a nduse Pla nning a nd De sig n 7 So il Ove rb urde n 8 E duc a tio n 9 Othe rs 10