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2nd Annual GIS Conference Sponsored by The Office of the Lieutenant Governor St Croix, U.S.V.I. June 22-23, 2006 Mike Aslaksen Acting Chief, Remote Sensing Division Acting Chief, Remote Sensing Division NOAA NOAA’s National Geodetic Survey National Geodetic Survey NOAA’s Geospatial Response Activities during the 2005 Hurricane Season NOAA’s Geospatial role in the NRP - Provides law enforcement and security capabilities, nautical charting, surveys, tidal and geodetic services, and geo-referenced coastal imagery. #13 – Public Safety and Security - Conducts emergency hydrographic surveys, search and recovery, and obstruction location to assist safe vessel movement. #11 - Agriculture and Natural Resources • Nutrition assistance • Animal and plant disease/pest response • Food safety and security • Natural and cultural resources and historic properties protection and restoration - Provides charts and maps for coastal and territorial waters and the Great Lakes. - Conducts emergency hydrographic surveys, search and recovery, and obstruction location to assist safe vessel movement. #10 - Oil and Hazardous Materials Response • Oil and hazardous materials (chemical, biological, radiological, etc.) response • Environmental safety and short- and long-term cleanup *Explicit roles in ESF’s 1,2,4,9,10,12,13,14, and 15 How Geospatial Technologies are currently used at NOAA to support Emergency Response • Geodetic/Surveying – importance of accurate elevations (evacuation routes, levee heights, rebuilding), supporting remote sensing operations • Imagery and other remotely sensed data - satellite and airborne • Hydrographic data - clearing waterways, marine debris detection • Modeling, Existing Data Availability, GIS Applications, HAZMAT support a “a FE as, ee +45, ‘ad E.. =| rm = Dd’ eographic Information tm: oye Systems Layers > i “ws ¢ 4 a baal mn WX ‘ae &> sd /- =F oe > ar raat a. / Sal =i iF I. 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Red shows power outage areas. September 12, 2005 after landfall. Most power restored. Small area still Out, shown in red. DMSP Optical Linescan System Puricane KATRINA has hit land and is moving north at 15mph. It has max sustained winds of 150mph and gust of 184mph. i — eh eed = a [——__ ene 7% wy oe ‘ ty ”~ es 2 zy ¥3 wa tw % id *, ’ Sie et ai * if bd MISSISSIPPI ¥. + | - * A fe ia ~ en ay Pe .' LO Ul: ANA = ae P| oS | - aA ine = att et wu \ “at ey Xd i, * NSO, » 7 “eB ‘- gh GULP Ob MEXICO. 3 . i a LIS hol an? AR 4 | 4 MOE >. This isa geographical reference 159 fii Oe ees = a Tag ies | se RE ais Hydrographic Survey Assets NRT1, NRT2, NRT3, NRT4, NRT 5, NRT6 Thomas Jefferson Nancy Foster SAIC Fugro NOAA Hurricane Katrina and Rita Response: Emergency Hydrographic Surveys In Support of Reopening Ports and Waterways Office of Coast Survey and Office of Marine and Aviation Operations rH Mio argc bn eared oy to Lied eee Eee ete Me OE Been ak pee eg ide THES: eRe mms ae gem > aR: aon Tee ni pa as begs (om hen eget mec eller oe) é ? nari ake Charles Beaumont a7 orn [sete remap Ope een See em eta a tS aed Sie ie omar a ia ee are a rs | yA <7 De NOAA Assets Deployed , WNavigaton Response Team 7 7 1 Navigation Response Team 2 ‘ (avigation Response Team 4 Mavigation Response Team & NOA4 Ship THOMAS JEFFERSON avin 2 Nl48, Ship WanCy FOSTER “Te | NOAA Hydrographic Data Senices Providers a ™ Lk 1 wih eur = sev ecu le 4 Clearance Surveys iv Vaal eam Completed by Navigation Response Teams see Completed by Hydrographic Surrey Ship Modeling, Existing Data Availability, GIS Applications, HAZMAT support Vertical Datum Transformation (VDatum) 3-D Datums Orthometric Datums Tidal Datums MHHW, MHW, MTL, DTL, MLW, MLLW NAVD 88, NGVD 29 WGS 84, NAD 83 (86) Sea Level Rise Scenarios in North Carolina using VDatum Areas in NC inundated with a 30 cm SLR Entrance to Lake Union, WA Geospatial Data Development Topo LIDAR, Bathy LIDAR and IfSAR Coastal hazards / flooding Storm modeling Shoreline / beach change Coastal erosion Tsunami Inundation Visualization – Open access to all LIDAR – Currently contracting LIDAR collection for coastal counties – Coordinating data collection with federal, state and local organizations – Data distribution through LDart www.csc.noaa.gov/crs/tcm/ Geospatial Technology Used in Enhancing Storm Surge Guidance NOAA Storm Surge Action Plan – Recommendations to improve storm surge information and availability – Focused on making GIS-based tools for decision-support GIS Assistance and Geospatial Data Resources for Storm Response GIS assistance to FEMA – Forecast information and decision mapping based on NOAA forecast datasets Storm data resource guide – Links and description to storm related geospatial data – Data sources can be used in GIS for managing storm impacts Storm Mapping Tutorial – Assists in downloading, converting, and displaying NOAA forecast data in a GIS – Allows users to display NOAA data with local data to visualize storm impacts on a community Hazardous Materials •Provided information for USCG Search and Rescue •Working with Federal, State, and local agencies to identify, assess, prioritize, and mitigate oil and hazardous material spills •Providing guidance on vessel salvage and shoreline cleanup assessments •Conducting natural resource damage assessment to restore harm caused by major oil spills Known Gaps in Geospatial Preparedness and Suggested Solutions • Single coordinating authority for geospatial activities for emergency response – DHS, FEMA, USGS, NGA, NOAA, USNORTHCOM, HSOC? • Single agency POC required – Roles and responsibilities – Determine mix of platforms (satellite, airborne, waterborne, terrestrial) and sensors to meet the event driven need with consideration of input from the local level – Standardized deliverables – Standardized exploitation tools – Training – Required pre event data (Imagery, GIS, LIDAR, etc) • Develop Geospatial ESF for the National Response Plan DHS Office of Intelligence and Analysis designated by SECHOME as single Coordinating authority for geospatial data collection, exploitation, and coordination in Support/response to Incidents of National Significance DHS/IA has created Interagency Remote Sensing Coordination Cell (IRSCC) to Address these issues. •Chaired by DHS (OA/FEMA/HSOC) •Department of Commerce (NOAA) •Department of Defense (NORTHCOM) •Department of Interior (USGS) •National Geospatial – Intelligence Agency •U.S. Army Corps of Engineers Under review i a = a os INO VTH@SO M fi N Db” SHEEC U rep ey Light Detection And Ranging GPS Antenna Laser = Cannerr’| | IMI ia = ¥ a Riatice GPS Reference at ra a * a” a” a** a Feflective a* s* Ser face Reflective Surface Bare earth + Buildings Bare earth Image credit: www.californiacoastline.org UNCLASSIFIED Seal Rocks White Vector = LIDAR Derived MHW Shoreline Vertical Datum Transformation (VDatum) 3-D Datums Orthometric Datums Tidal Datums MHHW, MHW, MTL, DTL, MLW, MLLW NAVD 88, NGVD 29 WGS 84, NAD 83 (86) Topo Topo/Bathy LIDAR Concept of /Bathy LIDAR Concept of Operations Operations • Collect Topographic and Bathymetric at same temporal scale • Fly topographic LIDAR at the lowest low water for maximum shoreline/near shore rocks exposure • Fly bathymetric LIDAR at highest high water to maximize overlap with topographic LIDAR • Provide NOAA Hydrographic Ships with shoreline and near shore hydrographic data within days of acquisition Cape Edgecumbe, AK Cape Edgecumbe, AK LIDAR Demonstration LIDAR Demonstration Ship and Aircraft worked together closely to provide shoreline and hydro data within days instead of months NOAA Ship Rainier Tenix LADS Dash 8 NOAA Cessna Citation a me ee | i ot = A al a a iT resto ah oo FCA 2.56 3H ses [ie aa ‘Sd aie es on. 24] .s7e oe bar ao at it Sour fe! a, aes ee ~ oar) 1326 , ine a aa ye 14% sactho be “ a= Ef at = 4 pty ee Bian ae ee ba => eh a 1G 2 a) G.. 7 an Tact a 42 053 ae es a ae oe ft atae bt ad att oe ates Ha, Le z=! | ae ‘oO a at i | He a ae = shee es ahve Pipes meh si a Pg we art ee eee) If MEF Tr, se. , OT ed “al chi 12 2. a 2 43. ae | 7 ee Part ifare rat it 4 Ah ok, 1F if o AS ey ue oa) ee one Ena ee Ar: a ee a 2g Pog q51 Bee a ay gt was woe ae Al aia eS rae so “2 1& LH tet pa: y “oP a Pa oy nn ii al ie oe Doe Mae ne de ae fx Brae tl a erie, fk an, -l a Rei Mecgceficart 4 F324: oF or FLEE Fils F AS ate 1 nity a im co | Ole ete Mt. oo et Gz a0 oo ioe are i 49 Led oo rrr na Az | Paik oe air ue fe, fees - ie ae “e 13 _#t lire: FE , oo iy tee’ cS - Ek: Pe: ry, Ee ae Mae os fey hase of Fue Se fue 2405 tee ee os oy ba fey (ar en 5 A yw ‘. tra 15 a, ‘le Patent ui #e ray re a ak ae + ea ay hh rts 34 ae Huntiion with 03 RSD at i os oY Fi i. 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Fine Seu aes ia at. ] I t ' one a | ie ee ~ Les “a ach Fl: Fs fcabe 2 = Merging Topo/Bathy LIDAR Data Merging Topo/Bathy LIDAR Data • Cape Edgecumbe, AK – 4m LADS (Laser Airborne Depth Sounder) – 1m Optech 50 kHz ALTM • Data transformed to a common vertical reference using GPS techniques Topo LIDAR Bathy LIDAR Topo/Bathy LIDAR Merged with NOAA Chart a — — el eee ay N D) “<2 15) 16 17 tka 30 96 102 | 22 CHUTE ETAT LIT tt a Ld IL 34 Topo LIDAR MHW Shoreline 27) 28) 2 9] 30) 31 | | rope VE la iad 1 =. th Sy wi ee a <7 a8 lp fa 4; “A, *-|3 —— Rod Asad 3 pe not L ‘s boy 22 34 4 breakers VW W45 37 gud | ae =] et Ps \2 at Iz Fr tig ay 78 ey & ot 7 Lp ple ax 7 in y 7 i 8 [3 lH 12 Ip 10 I lA 11 16 its) Hydrographic Soundings (fathoms) Topographic Elevations (feet) — aie =, Py, 2 ai a = at — a See — es we Tr Sitka, AK Topographic and Bathymetric LIDAR = ——— — <= _—s = =“ we as = eee es = SS es =ee ees oe as) ae ax he ee — a aS Sar = eS = — -— <= ae 4 — ees = <> os =a ae ———= aS — = AB %S ~— Sere ae an Se 1 ae ~—s = ee = i “Eo os — = oe pee a = why as Tir ca ix ie WS sep tae am fies pe if ise oz =e ii re a ry mete a pts as al seer hte ii ak ae ope ey — part ieee = ~ Sige aioe i as sy Seal 7 oy meas Ol op gee eer et st iw pe em ae pid a3 —_ * ae are: aad ee Sei 2 4 a ae Vo pt a aca Sipe a 2 Sees i ie ora te ~ -_ ce es ge ate Ss ge — re as rial “a 2 stall uf = ee eet ar at a s% wat ein’ eC, A = a aH, me sealer eat Pot oe beigi ay, ae mth Abu, Sc iret Teed oh na net in lie, oot a Get My Mine in a an a ae a ce + Ph jy) ries ahi hs oe ns hah ire Fra, Me, 2 ‘i as Af we im wets a in ae Maiti mh tet ert 1, ae ee a ay han bir a ee Ur Ps, b Pia ty fate ye i meu a Be) rele Pot Seta Fries as ee Byte ah sain as ae Per mes pe a: te uh a A ‘ 2h olen ee oe iaey aie kee any es theta Ei ey. ea aL oe eee Fal oa a) hs A . ths a oH eo es Iya bef ioe ne rite et om, jen ae ae cet fees zt ie ptr cea? hens s Hr? ay Pe bl or Pea 2 est th toy vat ance a fa ep ee, it ie, a net sik i rie ag (3 7 Ee, Es ia i et me Per hs te Pa es fe May 2004 (Pre {an p.. aincN Pa iy dan bate af m2 i oT; . Ll Ay : = 2 ve E Ss. Difference: ptember 2004 At the S eI, a 1% * oo | oy ns ee i 5 ead September 2004 Ivan) = in ra oe “a T= a \ - oe 7? bi. Saale se ——— a a - tee — 7+ * oe Nar _—— < Sees — = eT ara an Difference: September 2004 ta Septembe Fa = =r | — hrs ard ‘ue he are ‘= to — ae September 2005 (Post Katrina) oe =o | Mr C | a. a aa a — ae a a = = Elevation ee | 0.2 4 #. 4 6 8 10 12 14 Meters August 31, a = — a —t —— ae —— os —— Difference ak ea ae =e 5 pie — = ss Erosion Accretion Fi a = =e rr ———— a ie 5. ——_ —— al = a North Fohiees —— i—_ EE May 2004 (Pre Ivan) - Sept 2004 (Post Ivan) Ad Pools Bag ree sino! Sound i atin 4 1 es ol cr deg h os aie a a | : is Bee i =] Gut of Memico Sept 2004 (Post Ivan) - Sept 2005 (Post Katrina) ives jo) Sound W a Lye . a A. ny = . t m 7 = F a wine = i — sat — ee ea Oifferance a Gif Adeuuco Erosion Accretion Sept 2005 (Post Katrina) - NOAA Photos ¥ -" | “al é \ G1 v% Asie V4 ab uA AK We. ut * a. af is aha, aa Mearth NASA EAARL Topo Lidar Data Post Katrina Survey for USGS NASA EAARL Topo Lidar Data Post Katrina Survey for USGS Topo Topo & Bathy to Measure Coastal Change & Bathy to Measure Coastal Change Scplcemtcr 16, 0A SopHomber 2h, 2084 reibce te Frio. ae Pirie, mL i | al imal im Vs phigh die = — om, —— a ohio a + —- heeeth a =o a Bh a Site F ee en, i. = poo, i = | oi eee a bear —_— | eo “ar el | on ie ee re Age A gem ae gees Bopp gee Hiss pai imal The Datum Transformation Roadmap NGVD 29 NAD 83 (86) NAVD 88 LMSL MHHW MHW MTL DTL MLW MLLW WGS 84 (G730) WGS 84 (orig.) ITRF97 ITRF94 ITRF96 ITRF93 ITRF92 ITRF91 ITRF90 ITRF89 ITRF88 SIO/MIT 92 NEOS 90 PNEOS 90 WGS 84 (G873) NAD 83 (86) -6.9001 WGS 84 (G873) -12.0000 feet NAVD 88 73.1061 LMSL 72.5713 MLLW 73.6934 NOAA/NGS GPS Receiver at Liberty State Park, NJ supporting the collection of airborne LIDAR and Photography over the WTC site. betrzt os “e a ja ry. § x ot le, F hiked l sd i a ji im i ke or bd 1} ea ferries fey 7? 20 ge 7 =, a i a <— i" — a e a = i, i Mf a e~ay Sae eS, al _— se a ¢ ? tenes a i! ies s aed — = * = te ea L oo F = © ot rr 4 aN ee «alts ee sh | =e a ie LE eS mar = toa a ot ete te —.) tm —* “ih tae = XE oe ae a = Tees => iS =, —— we ~~ — = 3 #J poe, ae =i ee, ao om re a * a4 — | ™ -< a ‘a= | "4 = ~ sb im, = <2 a = | ‘, - ame at | r\¢ = moh, i i: =) ae el a i FF te — i * So atl a ne <= er =e — = ta, Shee eee a - i ris. _ = a a bal id SS, = " 2 ras =. = —= —_ a, ——_ =< =— = i led — a gs all —— : - as — — ee ee = hn wy = i — = a= ee ee SS Ser “ie 7 _—< File es te Kee = — [os 2 i.e Saat” hace i ~% =) a a = »t == ee ieee at = oe = =; so 4 1 + = = . > +=. - _— ~ = —-. i a > — —_—s — >. = a alt i= =n ra = ae oe 2 > Ae. a | — Mey es =, = zy oe ih? eS ~~ a as Optech employee and ground LIDAR working at WTC NOAA Truck and equipment being set up at Pentagon f \ J \ aaes.= alge hs 4 i* sue _ P aft = ea a = nS a a -_ | 2 ——— a _ x. oo me eam = sy Ss = ie = ee ee ae, ee eo [a NOAA/NGS and Optech equipment set up at Pentagon VDatum VDatum • VDatum – Vertical Datum Transformation Tool – Supports 28 Datums • Incorporates Tidal Hydrodynamic Models – Translated through Local Mean Sea Level (LMSL) – Relations Interpolated among NAVD88 elevations on tidal benchmarks • Allows blending of data sets with different vertical datums – MLLW from nautical charts – NAVD 88 from topographic maps ——- a —————— = a | ees) ll O M & al LAY D) aa rh = IN = — 0 te ayuree hs om 2 i Fx —— Ty . pool wor ‘fees Shes a¥ | = ee 1 sal " Poe ms eel ee oe ew pet ee ag i —- ==) 1 =— — ry ag es eto re Pe a ae ea a =i i on Aas al a a a Pn Sa +. ae Fe 2 ee waked fy doen eee ghee teal = Sm ne cm ee 2 ee be a ae : an a i ee Sm a a 1) wart CJ arp Kate! a SAN FRANCISCO 3iin =—— ome = “t - Fis Cc @ ae | Ges Gare Fark = = =] Ke 2 # Pa “=F & a = Fray ce ial + | Ele, -k (if of Fy a — a ha o a teal el Ge (eA : r= ee " = ia 7 to sea le J ‘ eat omni animate eres ees oe oan . —- fr ad I at at, Cea a 2 go = Pte Pit Sol il, = \ eet” a Ce | —-- _— -_ Se —— ne = F a e é —_ a Peer | air =. © — = — a -- Pals i, “ah 7s tie. maa i , = .* - = , ‘7 Ag | —+ dete Mokeren Pare = el dae = a ~ —= —s, Be ae le ae r, ps i 1 or eee fei *. Se, ty a ae ie Bre i) Le ee Sr ee 19 = = || yt yt Té Contoured shoreline oo 18 44 3 » Pt lo from lidar re 26 Ss ‘ay » Rocks a 24 SG a \ CNT Hous eA, t Tp = 4 cane id : aOtt - = 4 b = <"59 fh < oF *riv AERO | =, 54 W Or " ae Roth 137 WOré ee i Wor wy Cc Ti ‘ SP "x" 52 BE a i yh a ~~ 80- Priv py wet oS be F W Or J | Pare SS ar 9 oe WOR Pry aidg 56 3g ‘4 a PS arate tee te 43 ND" ogi Np S| a Cc QR '2" of § + Wet, ie Q 20IL i ao ae —~ ifs a Oi Mikey, i 4aF Rees — AG B4 at ral 36 a a a) “fer = | Fo a = om CUPOLA ") ea “a5 He al A __-— a eM x a Pig? Kis a3 za Camas EP yore 33 oe = + ak oe “ew ya Hosp Stow E —-+=— = wa Fa 3) > “Fos xf Sw * 7/ GOl DEN GATE BRIDGE ay tng a ve SUSPENSION GRIDGL | a VERT Cl ?¢4 FT CCNTLR VERI CL 213 Fl N PIER #| ee YoRI CL 21111 5 PIEF ae ee ie The serter of the span is ket | CWEEK 'S) marked by three white lights vertically in ling above a fixed \ Photo creen light or aach side er Chart Ae an ~~ | _—— : a \ Merine ae jal eal tema erm a << gs Set — Wa a oh x \ wat ae a *, a a i a Taam Age hi in nis c = ca ttt iM ie pote aie a 4 La lidar DEM Laser “Intensity” ee +8, oe ee =e 4, ab os <_ al A Pehle nS ake Shilshole Bay, WA Test Site Data shown by class ALTM 2050 Topo lidar LADS Bathy lidar SHOALS Bathy lidar NOAA Ship Multi-beam Data nn — a eee os a et ee +, al Sas Lb a Si... et shor a i Og in Sy ee <P RSS ey go ge Geospatial Data Application in Storm Surge Modeling and Habitat Mapping Benthic Habitat Mapping – High-resolution imagery for oyster and SAV mapping Oyster reefs mapped at low tide Topo/bathy integration activities (Gulf of Mexico) – Inventory of data resources and integration approaches – Gap analysis and investigation of data standards – Pilot topo/bathy data integration for the Storm Surge Action Plan GIS Layers Key Component of Risk and Vulnerability Assessment Tools Risk and Vulnerability Assessment Tools – Help to identify people, property, and resources that are at risk of injury, damage, or loss from hazardous incidents or natural hazards. Hazards Locator Tools (American Samoa, Kaua’i, O’ahu) – Streamlined means for users to identify their local multi-hazard risk and determine hazard mitigation techniques and practices for their location. View Hazards Risks Learn About Risks – Maps of alternative scenario designs – GIS-based 3-D views of site designs – Measured comparisons of the potential outcomes and impacts of each alternative Geospatial Technology Used to Explore Development Alternatives Laser Geolocation Equation: • Errors in XGPS, YGPS, ZGPS propagate directly to errors in the computed elevations of laser data points • cm-level vertical accuracy in final data products can only be achieved if you have cm-level vertical accuracy in the airborne kinematic GPS X Y Z X Y Z x R s t y R s z R s t f f f GPS GPS GPS l x l y l z           =        + − + − + − −         M δ δ δ cos sin sin cos cos Geospatial Data Development Land Cover and Imagery – Baseline of land cover classification and 30m Landsat imagery for coastal regions (coverage area in CCAP figure) – Enhance imagery in priority areas using high- resolution aerial and satellite imaging Aerial Imagery- ADS40, UltraCam, DMC, GeoScanner Satellite Imagery - Space Imaging IKONOS, DigitalGlobe Quickbird, ORBIMAGE OrbView Current priority areas - Major US ports, New England, Hawaii, MS/LA coast, SE coast Landsat ETM C-CAP product NOS Data Explorer www.oceanservice.noaa.gov/dataexplorer/ | el Sy ; 2 i —_ oN ee EE ———S=— ————— —_ a ——— — errr roa Pec eet a