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This spot along the edge of White POint's freshwater lake is adjacent to the tennis, shufleboard, Bothouse and lawngame areas. Groups enjoy leisurely BBQ's long into the evening from here!
at a very low tide at White Point, looking at the ruins of swimming pools from before the 1933 earthquake
Three RAW files processed with Olympus Viewer 3, stitched with Hugin and converted to JPEG format with Irfanview.
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ImageDescription - OLYMPUS DIGITAL CAMERA
Make - OLYMPUS IMAGING CORP.
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Orientation - Top left
XResolution - 314
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DateTime - 2013:08:02 14:50:25
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DateTimeOriginal - 2013:08:02 14:50:25
DateTimeDigitized - 2013:08:02 14:50:25
ComponentsConfiguration - YCbCr
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LightSource - Auto
Flash - Flash not fired, auto mode
FocalLength - 61 mm
UserComment -
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ExifImageWidth - 3648
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FileSource - DSC - Digital still camera
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Carl Zeiss C Sonnar 1,5/50 ZM T* @Sony NEX-7 'removed AA-Filter' @f/5.6 1/320 ISO800. Short Lens Hood. Tilted UV/IR-Cut Filter. Development with RawTherapee. without sharpening. whitepoint. ca correction. auto white balance. no color profile. no bw. all nine chanel mixer to 100. no demosaicing. 80% jpg.
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🍆🍳🍳🍳⚡️⚡️⚡️⚡️⚡️🐞🏮🐞KeyserSoze 🚥🚥🚥🚥🚥🚥🍳🍳🍳🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸♟♟♟♟♟🇫🇲🇫🇲⚡️⚡️MaxFieldSupreme⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️🐞🐞🏮⏲🏮⏲⏲⏲⏲🍒😂🐛🐛🐛🐛🐛🐵🐔🍆🍆🐸🐸🍳🍳🍳🍳🍳🍳🍳🍳🍳🍳🔬🔬🔬🔬🔬😷😷😷😷😷🐝🐝🔬🍳🍳🚥🚥🚥🍒🍒🍒🐞🐞🐞♟♟♟🐸🐸🍆🍆🐔🐔🐵🐵🐵🐛🐛🐛🍒🍒🏮⏲🏮🐞🐞😷🔬🔬🐝🐝🐝😷😷🔬🔬🔬🔬😷♟🍆🍆🍆🍆🇫🇲🇫🇲😷😷😷🇫🇲🍳🍳🔬🍳WasteLand😷♟Technicolor 🇲🇾🐸🐸🐸🐸🐸🐸🐸🐸♟♟♟♟Tom⚡️⚡️⚡️HarleyDavidson⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️🐸🐸🐸🐸🍆🐔🐔🐔🐔🐔🐔🐽🐽😂🐽🐽🐽🐽🍒🍒🚥🚥🔬😷😷🔬🔬🔬😷😷⚡️⚡️⚡️⚡️🐞🐞🐞🐞🐞🐞Vagina🐞🐞🐞🐞🐞🇫🇲🇫🇲🇫🇲🐝😷😷🔬🔬🔬🍆🍆♟♟♟🐸🐸🍳🍳🐝🐝😷🔬🔬🍳🍳🍆🍆🍆🐸🐸😷🐝🐝🐝😷🔬AlaskaMyrtleCreek🍳🔬😷😷🐸🐸🐸🐸🐸🐸🐸🐸🐸🔬🔬🔬🔬🔬⚡️⚡️🐞🐞🐞🐞🐞🐞🐛🐛🐛🐛🐛🐛🐛🐵🍒🍒🍒🍒🍒🍒🚥🚥🚥🚥🚥🐞🐞🐞🐞🐞🚥😷😷😷😷😷VH1⚡️MTV⚡️⚡️⚡️⚡️⚡️🍳🍳🍳🍳🙏🙏😷😷😷😷🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️🍒🍒🍒CourtYardMallExponentialAll🍆🍆🍆🚥🚥🔬🔬🔬🍒🐸🍒🐞🐞🐞🍳😷🐝🐝♟♟🇫🇲🍆🏮🏮⏲⏲⏲⏲⏲😷😷😷😷🍳🍳🍳🍳🍳🍳🐝🐝🐝♟♟🇫🇲🇫🇲🍆🍆🚥🐸🍒🍒🍒🔬🔬🔬SuperManTyonne🔬🔬🍒🍒🍒🍳🍳🍆🍆😷😷😷🐝🐝🐸🐸🐸🚥🚥🚥🚥🏮🏮🏮🐸⚡️⚡️⚡️⚡️🐞🐞⏲⏲⏲♟♟♟♟♟♟♟♟♟♟♟🚥🚥🇫🇲⚡️⚡️🐞🐞🐞🐞🐞🐝🐝🐝🐝🐸🐸🐸🐸🍒🍒🍒🍳🍳🍳🍆🍆🍆😷😷😷😷😷😷😷😷😷😷😷EricBaker⏲🏮🏮🐔🐔🐔🔬🐛🐛🐛🐛🐛🚥🚥🚥🐸🐸🐸🍒🍒🍒🍒🍒🍒🍳🍳🍳🐸🐸🐸🐸🐞🐞PatONeil🐛🐛🐞🐞🍳🍳🚥🚥🚥😷😷🍒🍒🍒🐸🐸🐞🐞🐸🐸🐸🍒Winston😷😷🔬🔬🔬⏲⏲⏲🍆🍆🍆🏮🏮⚡️⚡️⚡️⚡️♟♟🏮🏮🐛🐛🍳🍳🍳🚥🚥😷😷🔬🔬🔬🇫🇲🇫🇲🇫🇲🐵🐵🍆🇫🇲⏲⏲⏲🔬⏲🔬🔬🔬🔬⏲⏲⏲Charlene🍳🍳🍳🍳🔬🔬🇫🇲🇫🇲😷⚡️🐵🚥🚥⚡️🏮🏮🏮🍒🍒🐔🐔🐝🐝🐔🐸♟♟♟♟🐛🐛🐛🐛🏮🏮🏮⏲⏲🔬🔬🔬🔬🍳🍳🚥🚥⚡️⚡️⚡️⚡️⚡️⚡️🇫🇲🇫🇲😷😷😷♟♟♟🐞🐞🐞🐽🐽🐽🐽⚡️⚡️⚡️🚥🍳🍳🍳🍳🍆🍆🐸🐸ThrillKillKult🐞🐞🍆🍆🍆🚥🚥🚥🚥🍆🍆♟😷😷😷😷😷🔬🔬🐽🐽🐸🐸🐸🐸🐸🐸🐸🐸🐸🍒🍒🍒🐔JonathanSwift🐝🐝🐝🐞🐞🐞🍆🍆🍳🍆🍆⚡️⚡️⚡️⚡️🐸🐸🐸♟🍆🍆🍆🍆🚥🇫🇲🇫🇲🐝🐝🐝🐝🐵🐵🐵🐛🐔🐔⏲⏲🍒🍒🍒🔬🔬♟🐽🐸♟♟♟♟♟♟🍳🍳⚡️⚡️🐸♟😷♟🔬😷🔬🔬🔬🔬🔬😷😷🐞🐞🐞🐞🐞🍆🍆🍆🍆🍆🍳🍳🐸🐸🐸🐸🚥🚥🚥🚥🚥🚥🚥🐽🐽🐸🐸🐽🐽😷🐞Discipline🐞🐞🐞🐞🐞🐞🐞🐞🐞🐞🍳HannibalHarris 🙏🙏🙏🙏🙏⚡️⚡️⚡️⚡️⚡️⚡️🐸🚥🚥🚥🚥🚥🚥🍆♟♟♟♟♟😷😷🐽🐽😷😷♟⏲⏲⏲⏲🔬🔬🔬🔬🔬🔬🔬🔬🔬🔬🚥🍳🍳JonahHill ⚡️⚡️⚡️DiscGolf⚡️⚡️⚡️🐞🐞🐝🐝🐝🐛🐔⏲⏲😷😷😷🍒🍒🍒🔪🔪🔪🔪🐛🐛🐛🇫🇲🐸🐸🐸🐸🍆🐸🐸🐸🍳🐔🍆🍆🐽🐽🇫🇲🇫🇲♥️♥️🇫🇲🐔🐔♟♟🐞🐞🐝🍒😷😷😷😷🍳🐸🐸🐸🐸🐸GlobalWarmingUnicorn🐸🐸🐸🐸🐸SirAnthonyHopkins🐸🐸🐸🐸🐸🐸🇫🇲♥️♥️🐞🐞🐞🐞🐞♟♟🍳🐸🍆🍆🍆🍆🍆🍆🔬🇫🇲🇫🇲🇫🇲🇫🇲♥️♥️♥️🐞🍒🍒🍒😷BeowulfSirMixAlot😷😷😷😷🍒🍒♟♟🐞🐞🐞🐝🐝🐝🚥🚥🚥🚥🚥🐛🐛🐛♥️♥️⚡️🔪🔬🇫🇲🐽🐽🐽🍆🍆🍆PGA🍆🍆🍆🍆🍆🍆🐸🐸🍳🍳🍳🍳🐔🐔🐔🐔🐔🔬🔬🔬🔬🔬🔬🔬🎋🎋🎋🎋🎋🎋🎋🎋🎋🎋🎋🎋USPS🎋🎋🎋🎋🎋🎋🎋🍆🐃🐃🐃🍆🍆🎋🎋🎋🐃🐃💪💪🎿🎿🎿🎿🍺🚴♂️🚴♂️🚴♂️🚴🐔🐔🍻🍻SeaBright 👽👽👽👾👾☦️☦️☦️☦️☦️☦️⚡️⚡️⚡️⚡️⚡️FishBoy 🐝🐝🐝🐝💪🎋🎋🎋🎋🎋🎋🎋⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️🍻♥️♥️♥️🐸🐸Brie🐸🐸🐞🐞🐞🐞🐞🐞🐞🐞🍒🍒🍒😷😷😷⚡️⚡️♟♟🐞🚥🚥🚥⏲AntiChristScythe ⏲⏲⏲🍳🍳🍳🍳🍳🍳🍳🍆🍆🐸🐸🐸🐸🍆🐸🐸🐸🐸🇹🇷🇹🇷🇹🇷🐸🃏🍝📺📟📟🐔🐔🍝🍝🍝🍆🇲🇾Dansko🇲🇾☦️⏲⏲🐸🃏🇻🇮🃏🍳🍳🍳🍳🐔🐔🐔🐔🐔🐔AlienAntFarm🐔🐔🐔🐔🍳🐔🍆🍆🍆🍆🚴♂️Radioshack🚴♂️🚴♂️🚴♂️🚴♂️🚴♂️🌀🍺🐝🐝🐃🚴🚴🐃🐃🌀🎿🍻🍻🎿🐃🐃🐃🍺☦️☦️LAID💪💪💪💪💪💪🐃🐃🐃☦️☦️☦️🐃🍻🎿🍳🃏🍝🍝⏲⏲📟🍝🍝🚴🌀🌀🌀☦️🐃🐃💪💪🐔🐔🐔Rollerskate🍻🍻🍳🃏WrongTrousers🐔🐔🃏🃏🇻🇮🇮🇲⏲📟📟🐸🚴🚴🚴🌀🌀🍆🍆🍆🐔🐔🐔🐔💪🐃☦️☦️Brix🚴♂️🚴♂️🚴♂️🍺🌀🍺🍺🌀🚴🚴🚴🐝🐝🐝🍻🍻🎿🍳🍳🃏🍝🍝🍝🍆🍆🍆⏲🃏EvergreenAll🇻🇮🇮🇲🇹🇷🇹🇷📺🐸📟📟⏲🐝🐝🐝🐝🐝💪💪💪💪🐃🐃🐃🐃🐃🐃🐔🐔🐔🐔🍆🍆🍆🌀🌀🍺🍺🚴♂️🚴♂️☦️🐃Sunnies💪💪Vancouver💪💪🐃☦️☦️🐃💪💪💪💪💪💪Charles💪💪💪💪💪💪💪💪IRS💪💪💪💪💪💪💪🎿🍻🎿💪💪💪🐔🐔🍆🍆🍆🌀🌀🍺🍺🍆🐝🐝🐝🐝🐝🐝🐝🐝🚴🍆🐃🍆🍆🐃🐃🐃VA🍻🐃🐃🍻🍻🍻🍻🚴🚴🚴🚴🚴BaxterPadAll🎋🚴🚴🚴🍻🐃🐃🐃🚴♂️☦️☦️☦️🍆🐔🍆🍆🐔☦️☦️☦️☦️NortonAntiVirus 🐝🐝☦️☦️☦️☦️☦️☦️☦️☦️🍺⏲🍺🍺🌀🌀🌀🍺🍺🚴♂️🚴♂️🚴♂️🚴♂️🚴♂️📟🃏🐸🍳📺📺📺📺📺🍳🍳🍳🐸🇲🇾🇲🇾🇲🇾🃏🃏🃏🃏🌀⏲⏲⏲🌀🐝🐝🍝🍝🍝🍝🍝🍝🍝🇹🇷🇻🇮RalphFiennes🌀🌀🍺🍆🐔🍆🍆🍆🐝🇹🇷🇹🇷🇻🇮🇻🇮⏲📟📟🃏🇮🇹🍳🐸🇲🇾🇲🇾🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🌎🌎🌎🌎🇺🇸🇺🇸🇺🇸🇺🇸🌎🏈💵💵💸💸💵🌎🇺🇸🇺🇸🇺🇸🇺🇸🙏🙏🙏🙏🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🌎🌎🌎🌎🌎🌎🏈🏈💵💵💵💵💵🏈🏈🌎🌎🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸GrizzlyMan🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸KingofEngland🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸CIA🇺🇸🇺🇸🇺🇸🌎🇺🇸🇲🇾🇺🇸🌎🌎🌎🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🌎🌎🌎🌎🌎🌎🌎🌎🌎🌎🌎🌎Bath&BodyWorks🇺🇸🇺🇸🇺🇸🌎🌎💵💵🇲🇾🇲🇾💵🙏🙏🌎🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🌎🌎🌎🌎🌎🌎🇺🇸🇺🇸🇺🇸🇺🇸🏈🇺🇸🍆🍆🇻🇮🍆🍆🇮🇹📟💸💸🙏🍆🃏🃏🃏🐸🐸🐸🐸🐸🐸🐸🐸K9Crack🐸🐸🐸🐸🐸🐸🇹🇷📟🍳🍳🍳🍳🍳🍳🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🌎🌎🌎🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸CIA🇺🇸🌎🌎🌎🌎🌎🐸🐸🌎🌎🌎🌎🌎OrangeCounty🇺🇸🇺🇸🌎🌎🐸🐸🐸🐸🐸🐸InsaneInTheBrain🇺🇸🇺🇸🇺🇸🌎🌎🐸🍳🐸🍳🍳🍳🍳🍳🍳🍳🍳🇹🇷🇹🇷🇹🇷🇹🇷🇹🇷BoxMan🇺🇸🇺🇸🇺🇸🍳🍳🌎🌎🍆🍆🍆🍆🍆📟🍆SunsetBLVD📟🙏🏈🏈🏈💸🇻🇮🍳🍳🍳🍳🍳🍳🍳🍳🍳🍳🍳WestCliffDrive🍳🍳🐸🐸🏈💸🙏WestPoint🍳🍳🇺🇸🇺🇸🏈🏈🍆🍆🍆🍆📟📟🇻🇮🇻🇮🇻🇮🇻🇮⏲⏲⏲🇲🇾🐸🐸🐸🌎🌎🇺🇸🇺🇸🇺🇸🍳🇺🇸🇺🇸WestWing🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🌎🌎🌎🌎🐸UniversalStudiosFosterFarmsBBKing🇺🇸🇺🇸🌎🍳🐸🐸🐸🐸⏲⏲⏲🇲🇾🇲🇾🇲🇾🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🌎🐸🐸🐸🐸⏲⏲🍆🍆⏲📟📟📟🐝🐝🐝🐝🐝🐝🐝🐝🙏🙏🙏🙏🇺🇸🇺🇸♟♟🐸🐸🐸🐸🐸Intel🇺🇸🇺🇸🇺🇸🍆🍆🍆🍆♟HPDComputerRepair 🇻🇮🇻🇮🇻🇮🌀🌀🌀🌀MicrosoftExponentialAllNow ♟🍳🍳🍳🍳🍳🍳🍳🍳🍳🍳🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣SPCA💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣💣🌊🌊🌊🌊🌊🌊🌊🌊⛄️⛄️🌊🌊🌊🌊🌊🌊🌊💧☄️☄️☄️☄️☄️☄️☄️☄️☄️☄️☄️💧💧💧💧💧💧⛄️🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊🌊 LemonTreesOnMercury TJ Angela Davis is the race war that Laos planned for Helter Skelter MumiaAbuJamal is SergeLutens TheDieIsCast, ChickenDiapers ThisIsNotNews WildOrchid TwiggyRamirez SpaceDog DevilsNight Brie IRS BrownVsBoardOfEducation Brown’sCleaners GuantanamoBay BraveLittleToaster WhatABoutCanada??? Lemmy Lenning&Co Tazo CompassTechnicolor ComplexPTSDServiceAnimals BohemianRhapsodyTechnicolor QueenOfTheDammed TwoFoldLV
TJ Is Angela Davis’ replacement TheDieIsCast LisaRoweCIAJOB SusannaKaysenCIAJOB VillainKillers SpaceGhost ThisIsNotNews ThisIsRENT Job Mathews Job Mathews KingJames Job Job Job TheDieIsCast TheBlackCrowesAtSunrise KristenWarren KROQ BushBabyArtPi Roxy, LoveItBabe ButterBeanBoquet LittleAmsterdam Transformer NewYorkJew & BeverlyHillsJew TheDieIsCast FiddlerOnTheRoof SafewayPharmacy Starbucks BitchNewYork RopeWrappedRoostBars MyrtleCreek Devil’sNight Fish&Game LemonadeTone LemonTreesOnMercury Shari’sHouseOfPi WestCliffLabs LemonTreesOnMercury TJ LemonadeTone TMZ TMobile TMART Angela Davis is the race war that Laos planned for Helter Skelter MumiaAbuJamal is SergeLutens TheDieIsCast, ChickenDiapers ThisIsNotNews WildOrchid TwiggyRamirez SpaceDog DevilsNight Brie IRS BrownVsBoardOfEducation Brown’sCleaners GuantanamoBay BraveLittleToaster WhatABoutCanada??? Lemmy Lenning&Co Tazo CompassTechnicolor ComplexPTSDServiceAnimals BohemianRhapsodyTechnicolor QueenOfTheDammed TwoFoldLV
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When I was very young my dad went away to work in North Africa to bring some money into the home, so I didn't see him for months at a time while I stayed at home with my mum. When he came home he used to bring some of the coolest presents with him and this is one of them I've treasured for over 30 years now and is a piece of coral which I have on my desk amongst some of the other trinkets.
It's almost spherical so I wanted to get a macro shot that showed the delicate pattern and overall shape of the coral.
Import to LightRoom, set whitepoint, darken out the background, raise the contrast and clarity sliders, blackslider raised a little, sharpen, very slight saturation and pop out to JPG.
now the corner of Battery & Murray Boulevard - White Point Gardens / Charleston, South Carolina / Post Card from my Grandmother's 1942 trip there
ThinkPad T430s HD+ (1600x900) LCD characteristics (B140RW02 V.1) contrast, brightness, and whitepoint
AGFA XPS 160 (expired 03/2006) in Rodinal 1+50
Developed at roughly 20 - 21°C for 17minutes. First minute full, after that 3 times per minute until 10 minute mark. after that 7 minutes without touching it.
The negative looks pale, but still ok. Fixing blackpoint and whitepoint brought up all the beauty (at least in my eyes ;)
Will try with longer development-time on the next one..
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Took these at the beach yesterday, testing out my new Nikon D850 paired with my new 35mm f/1.4G. I used NiSi CPL filter, along with NiSi ND and soft grad filters.
Taken with a Mamiya Sekor 55mm adapted to my EOS 6D with a tilt-shift-adapter, on White Point Beach in Nova Scotia, Canada. (it's tilted...)
We have started on the scenic route, climbing a number of endless steep hills that go up and down and up and down. This is the view across the Bay looking at northern cape called Cape North (not to be confused with the village of Cape North which is on the Cabot Trail). Cape North, shown here in the background across the bay, is well north of the Cabot Trail.
In the 1980's "Sunshine Factory" was chosen as a replacement for "Old Pueblo." Fortunately it didn't go very far, although I suppose if you come from someplace like the midwest it makes sense.
Five RAW files processed with Olympus Viewer 3, stitched with Hugin and cropped with Irfanview.
(_8021502.orf-_8021506.orf)
See where this picture was taken. [?]
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When I made it to my first stop WhitePoint Gardens at the Battery in Charleston I spotted a local in his '72 Chevy C10 pick up. Had a nice rumble as it passed.
On Saturday, September 13, 1919, the last swarms of vacationers who packed the Corpus Christi beaches were were warned that a massive hurricane, which had gathered strength in the gulf for two weeks, was approaching the shore. Most ignored the warning in favor of the last weekend of the summer season, by Sunday afternoon the buildings on North Beach, battered by winds up to 110 miles per hour and storm tides up to 16 feet, began to break up.
By Monday morning, bodies and debris had begun to wash up on the shore at White Point, black oil from the storage tanks near Port Aransas covered everything. Over the next few days, more than 200 people worked to rescue survivors and retrieve the dead, bodies were taken to the West Portland schoolhouse on this site. Identifying the remains proved difficult: the bodies were broken, covered in oil, and in some cases whole families had perished, leaving no one to identify them. The remains were weighed on a cotton scale and taken almost a mile back toward the beach where they were found, they were laid to rest in a mass grave dug with a slip scraper.
More than 30 separate graves were dug from Indian Point near Portland to a spot about 20 miles up Nueces Bay, some of the larger graves measured 1400 feet wide and 3200 feet long, evidence indicates that all the bodies were moved to Rose Hill Cemetery in Corpus Christi and to other sites about a month later. The official death toll was 284; estimates place the actual number, including those lost at sea, at about 1,000. Property damage from the 1919 storm was estimated at about 20 million dollars. This gravesite and others serve as a reminder of the power of the elements. (2000) (Marker No. 14784)
To show the difference between a tripod and a non-tripod photo (the previous photo).
This shot is f/13, ISO200 and 15 seconds and still it was underexposed. You can see the noise of the CCD and the shadow of my tungsten livingroom light. Productphotography can give all sorts of choices, but the best way is to use a lot of (day)light and soft light from softboxes and strobes shooting in softboxes or through umbrellas to get the best mix of shutterspeed and aperture. Here you can also see some dirt on my CCD bottomleft which gets exposed for the same 15 seconds. Notice the big difference in directional light. The shadow is from my tungsten light fixture. Shadows are a no-no in productphotography, so you'll always want large lightsources and indirect light where possible or multiple lightsources to eliminate shadows.
Also notice the difference in whitebalance. Both photos were 'whitepoint graded' at the white part under the deepblue lettering, but this photo had whitebalance set to tungsten and the other one had automatic (A) set for it's whitebalance. Same 35mm lens and Nikon D80 camera.
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