{"help":"https://catalogue.cioos.ca/api/3/action/help_show?name=package_show","success":true,"result":{"id":"44754736-c8be-49b1-8806-a0ca4a78255a","ecv":[],"eov":["other"],"url":null,"name":"ca-cioos_4be1cc5e-8846-4fba-bd94-16ca933faab8","tags":[],"type":"dataset","notes":"Les 5, 15 et 17 août 2012, TRSI a recueilli des données d'images hyperspectrales, LiDAR et numériques dans quatre sites de projet à l'île Calvert, en Colombie-Britannique et à proximité, à l'aide d'un avion à voilure fixe doté d'un système LiDAR et d'un capteur hyperspectral. Un système combiné GPS/INS (Inertial Navigation System) a été utilisé pour l'altitude et la position de l'avion. Au total, 477,22 km^2 ont été parcourus lors de cette mission avec une hauteur de vol de 1150 mètres au-dessus du niveau du sol (AGL) visant à obtenir une résolution spatiale de 1,5 mètre pour l'imagerie hyperspectrale. \n\nL'imagerie hyperspectrale a été livrée sous la forme d'un ensemble de 94 « scènes » longues et étroites, chacune correspondant approximativement à une ligne de vol individuelle (à partir d'une mission de vol en quadrillage). De cette façon, les dimensions et l'orientation varient quelque peu d'une scène à l'autre. Il y a principalement des scènes nord-sud et ouest-est qui couvrent la longueur et la largeur des îles Calvert et Hécate et une partie du continent au nord. Dans certains cas, il y a un chevauchement incohérent entre les scènes ; dans d'autres, l'imagerie est alignée au niveau des coutures ou avec un petit espace entre les deux. Bien que les détails concernant le post-traitement effectué sur les images par l'entrepreneur soient insuffisants, les hypothèses suivantes ont été formulées sur la base de l'analyse : \n\n• L'imagerie a été géorrectifiée (le MNT utilisé est inconnu). \n• L'imagerie a été corrigée radiométriquement dans une certaine mesure, bien qu'il soit prouvé que seuls quelques fichiers d'étalonnage ont été utilisés de manière incohérente pour toutes les scènes pendant la correction radiométrique, et que les zones qui se chevauchent entre les scènes présentent parfois de grandes variations dans les valeurs des pixels de radiance des mêmes entités sur C'est le même groupe. \n• Aucune correction atmosphérique n'a été effectuée sur l'imagerie. \n\nLes spécifications techniques de toutes les scènes sont les suivantes : \n\nFormat raster : fichiers .dat ENVI\nType de raster : entier non signé 16 bits\nProjection : UTM Zone 9\nDate : NAD 83\nGéoïde : HT 2.0\nPlateforme de capteur : capteur de modèle hyperspectral AISA non spécifié. \nHauteur de vol : 1150 m AGL\nFréquence d'images : 43 ips\nRésolution spatiale : 2 m\nPrécision horizontale : +/- 2 pixels\nPlage spectrale : 392 — 996 nm\nNombre de groupes par scène : 132\nRésolution spectrale : ~ 4,25 nm\nLes valeurs de pixel représentent la radiance en (mw/cm^2*str*um) * 100\nValeur NoData = 0. \n\n\nTableau de couverture spectrale des bandes \nBande # Longueur d'onde (nm)\n1 392,730011\n2 396.980011\n3 401.220001\n4 405.470001\n5 409.720001\n6 413.970001\n7 418.220001\n8 422.459991\n9 426.709991\n10 430.959991\n1 435.220001\n12 439.630005\n13 444.079987\n14 448,540009\n15 452.98999\n16 457.450012\n17 461.899994\n18 466.350006\n19 470,809998\n20 475.26001\n21 479.720001\n22 484.170013\n23 488.630005\n24 493.079987\n25 497,529999\n26 501.98999\n27 506.440002\n28 510.899994\n29 515.349976\n30 519.799988\n31 524.26001\n32 528.710022\n33 533.16983\n34 537,6 1995\n35 542.070007\n36 546,559998\n37 551.169983\n38 555.789978\n39 560,409973\n40 565.030029\n41 569.650024\n42 574.27002\n43 578.890015\n44 583.51001\n45 588.140015\n46 592.76001\n47 597.380005\n48 602\n49 606.6.1995\n50 611.23999\n51 615.859985\n52 620.47998\n53 625.109985\n54 629.72998\n55 634.349976\n56 638,969971\n57 643.590027\n58 648.210022\n59 652.830017\n60 657.460022\n61 662.080017\n62 666.700012\n63 671.320007\n64 675.940002\n65 680.570007\n66 685.190002\n67 689.809998\n68 694.429993\n69 699.059998\n70 703.710022\n71 708.349976\n72 713\n73 717.640015\n74 722.289978\n75 726.929993\n76 731.580017\n7 736,21971\n78 740.859985\n79 745,51001\n80 750,15973\n81 754.880005\n82 759,609985\n83 764.340027\n84 769.070007\n85 773,799988\n86 778.530029\n87 783.26001\n88 787.9899\n89 792.719971\n90 797.450012\n91 802.179993\n92 806.909973\n93 811.640015\n94 816.369995\n95 821.099976\n96 825.830017\n97 830.549988\n98 835.27002\n99 839.98999\n100 844.710022\n101 849,429993\n102 854.150024\n103 858,869995\n104 863.590027\n105 868,309998\n106 873.030029\n107 877,75\n108 882.469971\n109 887.190002\n110 891.900024\n11 896.61995\n112 901.340027\n113 906.059998\n114 910.780029\n115 915.51001\n116 920,25\n117 924.97998\n18 929.71997\n119 934.460022\n120 939.190002\n121 943.929993\n12 948,65973\n123 953.400024\n124 958.130005\n125 962,869995\n126 967.599976\n127 972.340027\n128 977.080017\n129 981.809998\n130 986,549988\n131 991.280029\n132 996.02002\n\nEn raison des contraintes météorologiques et temporelles auxquelles l'entrepreneur est confronté, il existe plusieurs petites lacunes dans les données à l'intérieur des limites du projet. De plus, de petites lacunes rectangulaires systématiques sont présentes dans de nombreuses scènes (elles ne sont pas liées et s'ajoutent à celles dues aux « contraintes météorologiques et temporelles » indiquées par l'entrepreneur).","state":"active","title":"Imagerie hyperspectrale - Calvert Island - 2012","author":null,"extras":[{"key":"access_constraints","value":""},{"key":"contact-email","value":"data@hakai.org"},{"key":"encoding","value":"utf8"},{"key":"guid","value":"ca.cioos_4be1cc5e-8846-4fba-bd94-16ca933faab8"},{"key":"h_job_id","value":"57f74d59-ff35-4fa8-b2ef-c10850d5f373"},{"key":"h_object_id","value":"1672238a-c3b9-448e-8cbf-c836b28b1dda"},{"key":"h_source_id","value":"9704fc28-20f2-4eb1-92d5-b5b47fc23354"},{"key":"h_source_title","value":"CIOOS Pacific"},{"key":"h_source_url","value":"https://catalogue.cioospacific.ca"},{"key":"harvest_object_id","value":"1672238a-c3b9-448e-8cbf-c836b28b1dda"},{"key":"harvest_source_id","value":"9704fc28-20f2-4eb1-92d5-b5b47fc23354"},{"key":"harvest_source_organization","value":"{\"id\": \"f6f187f7-19f2-4273-a45a-5d9406204873\", \"name\": \"cioos-pacific\", \"title\": \"SIOOC-Pacifique\", \"type\": \"organization\", \"description\": \"\", \"image_url\": \"\", \"created\": \"2026-07-31T15:58:21.015456\", \"is_organization\": true, \"approval_status\": \"approved\", \"state\": \"active\", \"description_translated\": {\"en\": \"The Canadian Integrated Ocean Observing System (CIOOS) Pacific is the regional hub of the National CIOOS for ocean data aggregation on Canada\\u2019s west coast.\", \"fr\": \"Le Syst\\u00e8me int\\u00e9gr\\u00e9 d\\u2019observation des oc\\u00e9ans canadien (SIOOC) Pacifique est la plaque tournante r\\u00e9gionale du SIOOC national pour l\\u2019agr\\u00e9gation des donn\\u00e9es oc\\u00e9aniques sur la c\\u00f4te ouest du Canada.\"}, \"display_name\": \"CIOOS-Pacific\", \"external_home_url\": \"https://cioospacific.ca\", \"image_display_url\": \"\", \"image_url_translated\": {\"en\": \"https://catalogue.cioos.ca/base/images/logos/cioos-pacific_logo_RA_EN.png\", \"fr\": \"https://catalogue.cioos.ca/base/images/logos/cioos-pacific_logo_RA_FR.png\"}, \"num_followers\": 0, \"title_translated\": {\"en\": \"CIOOS-Pacific\", \"fr\": \"SIOOC-Pacifique\"}, \"organization-uri\": [{\"authority\": \"\", \"code\": \"\", \"code-space\": \"\", \"version\": \"\"}]}"},{"key":"harvest_source_title","value":"CIOOS Pacific"},{"key":"legal-constraints-reference-code","value":"CC-BY-4.0"},{"key":"licence","value":"Appropriate credit must be given to Hakai Institute and the authors of the dataset."},{"key":"metadata-date","value":"2026-05-25T19:14:10.423Z"},{"key":"metadata_created_source","value":"2025-11-08T00:16:01.504033"},{"key":"metadata_modified_source","value":"2026-05-26T07:15:34.730557"},{"key":"responsible-party","value":"[{\"name\": \"Hakai Institute\", \"roles\": [\"resourceProvider\", \"distributor\", \"owner\", \"pointOfContact\", \"principalInvestigator\", \"custodian\", \"editor\", \"processor\"]}, {\"name\": \"Tula Foundation\", \"roles\": [\"funder\"]}]"},{"key":"spatial_harvester","value":"true"},{"key":"uri","value":"https://catalogue.hakai.org/dataset/ca-cioos_4be1cc5e-8846-4fba-bd94-16ca933faab8"},{"key":"use-constraints","value":"Appropriate credit must be given to Hakai Institute and the authors of the dataset."},{"key":"use-constraints-code","value":"licence"},{"key":"xml_modified_date","value":"2026-05-25 19:14:00"}],"groups":[{"id":"1b19a03b-cb31-4258-92b2-e1e2f74235ca","name":"resorg_hakai-institute","type":"resorg","state":"active","title":"Hakai Institute","created":"2026-07-31T16:03:25.855614","image_url":"","description":"","display_name":"Hakai Institute","num_followers":0,"approval_status":"approved","is_organization":false,"title_translated":{"en":"Hakai Institute","fr":"Hakai Institute"},"image_display_url":"","image_url_translated":{},"description_translated":{}},{"id":"7f153c5c-b35d-47d1-9be1-f391f7b91a47","name":"resorg_terra-remote-sensing-inc-","type":"resorg","state":"active","title":"Terra Remote Sensing Inc.","created":"2026-09-22T21:19:15.342436","image_url":"","description":"","display_name":"Terra Remote Sensing Inc.","num_followers":0,"approval_status":"approved","is_organization":false,"title_translated":{"en":"Terra Remote Sensing Inc.","fr":"Terra Remote Sensing Inc."},"image_display_url":"","image_url_translated":{},"description_translated":{}},{"id":"39f5a807-a1b2-4b34-9ad4-66caaa81ba5a","name":"resorg_university-of-northern-british-columbia","type":"resorg","state":"active","title":"University of Northern British Columbia","created":"2026-09-22T21:19:15.257511","image_url":"","description":"","display_name":"University of Northern British Columbia","num_followers":0,"approval_status":"approved","is_organization":false,"title_translated":{"en":"University of Northern British Columbia","fr":"University of Northern British Columbia"},"image_display_url":"","image_url_translated":{},"description_translated":{}}],"isopen":true,"private":false,"spatial":{"type":"Polygon","coordinates":[[[-128.21594238281247,51.40948589555509],[-127.8094482421875,51.40948589555509],[-127.8094482421875,51.78993084774129],[-128.21594238281247,51.78993084774129],[-128.21594238281247,51.40948589555509]]]},"citation":{"en":"[{\\\"type\\\": \\\"dataset\\\", \\\"id\\\": \\\"ca.cioos_4be1cc5e-8846-4fba-bd94-16ca933faab8\\\", \\\"author\\\": [{\\\"given\\\": \\\"Terra\\\", \\\"family\\\": \\\"Remote Sensing Team\\\"}, {\\\"given\\\": \\\"Gordon\\\", \\\"family\\\": \\\"Frazer\\\"}, {\\\"given\\\": \\\"David\\\", \\\"family\\\": \\\"Mostyn\\\"}, {\\\"given\\\": \\\"Hakai\\\", \\\"family\\\": \\\"Geospatial\\\"}], \\\"issued\\\": [{\\\"date-parts\\\": [\\\"2016\\\", \\\"11\\\", \\\"20\\\"]}], \\\"abstract\\\": \\\"On August 5th, 15th ,and 17th , 2012, TRSI collected hyperspectral, LiDAR and digital image data in four project sites at and near Calvert Island, B.C. using a fixed wing aircraft with LiDAR system and a hyperspectral sensor. A combined GPS/INS System (Inertial Navigation System) was used for aircraft altitude and position. A total of 477.22 km^2 was covered on this mission with a flight height of 1150 meters above ground level (AGL) aiming to obtain 1.5 metre spatial resolution for hyperspectral Imagery. \\n\\nThe hyperspectral imagery was delivered as a set of 94 long and narrow swath \\u201cscenes\\u201d with each corresponding roughly to an individual flight line (from a grid pattern flight mission).  In this fashion the dimensions and orientation varies somewhat from scene to scene. Predominantly there are North-South and West-East scenes which cover the length and width of Calvert and Hecate Islands and a portion of the mainland to the north. There is an inconsistent overlap between scenes in some cases; in others the imagery aligns at the seams or with a small gap in between.  While details pertaining to post-processing performed on the imagery by the contractor are lacking, based on analysis the following assumptions have been made: \\n\\n\\u2022\\tThe imagery has been georectified (the DEM used is unknown). \\n\\u2022\\tThe imagery has been radiometrically corrected to some degree although there is evidence that only a few calibrations files were used inconsistently for all scenes during radiometric correction, and overlapping areas between scenes have sometimes large variations in radiance pixel values of the same features on the same band. \\n\\u2022\\tNo atmospheric correction has been performed on the imagery. \\n\\nThe technical specifications for all scenes are the following: \\n\\nRaster format: ENVI .dat files\\nRaster type: 16 bit unsigned integer\\nProjection:  UTM Zone 9\\nDatum: NAD 83\\nGeoid:  HT 2.0\\nSensor platform: AISA Hyperspectral unspecified model sensor. \\nFlying Height: 1150m AGL\\nFrame Rate: 43 FPS\\nSpatial Resolution: 2m\\nHorizontal accuracy: +/- 2 pixel\\nSpectral range: 392 \\u2013 996nm\\nNo. of Bands per scene: 132\\nSpectral resolution: ~4.25nm\\nPixel values represent radiance in (mw/cm^2*str*um)* 100\\nNoData Value = 0. \\n\\n\\nTable of band spectral coverage \\nBand #\\tWavelength (nm)\\n1\\t392.730011\\n2\\t396.980011\\n3\\t401.220001\\n4\\t405.470001\\n5\\t409.720001\\n6\\t413.970001\\n7\\t418.220001\\n8\\t422.459991\\n9\\t426.709991\\n10\\t430.959991\\n11\\t435.220001\\n12\\t439.630005\\n13\\t444.079987\\n14\\t448.540009\\n15\\t452.98999\\n16\\t457.450012\\n17\\t461.899994\\n18\\t466.350006\\n19\\t470.809998\\n20\\t475.26001\\n21\\t479.720001\\n22\\t484.170013\\n23\\t488.630005\\n24\\t493.079987\\n25\\t497.529999\\n26\\t501.98999\\n27\\t506.440002\\n28\\t510.899994\\n29\\t515.349976\\n30\\t519.799988\\n31\\t524.26001\\n32\\t528.710022\\n33\\t533.169983\\n34\\t537.619995\\n35\\t542.070007\\n36\\t546.559998\\n37\\t551.169983\\n38\\t555.789978\\n39\\t560.409973\\n40\\t565.030029\\n41\\t569.650024\\n42\\t574.27002\\n43\\t578.890015\\n44\\t583.51001\\n45\\t588.140015\\n46\\t592.76001\\n47\\t597.380005\\n48\\t602\\n49\\t606.619995\\n50\\t611.23999\\n51\\t615.859985\\n52\\t620.47998\\n53\\t625.109985\\n54\\t629.72998\\n55\\t634.349976\\n56\\t638.969971\\n57\\t643.590027\\n58\\t648.210022\\n59\\t652.830017\\n60\\t657.460022\\n61\\t662.080017\\n62\\t666.700012\\n63\\t671.320007\\n64\\t675.940002\\n65\\t680.570007\\n66\\t685.190002\\n67\\t689.809998\\n68\\t694.429993\\n69\\t699.059998\\n70\\t703.710022\\n71\\t708.349976\\n72\\t713\\n73\\t717.640015\\n74\\t722.289978\\n75\\t726.929993\\n76\\t731.580017\\n77\\t736.219971\\n78\\t740.859985\\n79\\t745.51001\\n80\\t750.159973\\n81\\t754.880005\\n82\\t759.609985\\n83\\t764.340027\\n84\\t769.070007\\n85\\t773.799988\\n86\\t778.530029\\n87\\t783.26001\\n88\\t787.98999\\n89\\t792.719971\\n90\\t797.450012\\n91\\t802.179993\\n92\\t806.909973\\n93\\t811.640015\\n94\\t816.369995\\n95\\t821.099976\\n96\\t825.830017\\n97\\t830.549988\\n98\\t835.27002\\n99\\t839.98999\\n100\\t844.710022\\n101\\t849.429993\\n102\\t854.150024\\n103\\t858.869995\\n104\\t863.590027\\n105\\t868.309998\\n106\\t873.030029\\n107\\t877.75\\n108\\t882.469971\\n109\\t887.190002\\n110\\t891.900024\\n111\\t896.619995\\n112\\t901.340027\\n113\\t906.059998\\n114\\t910.780029\\n115\\t915.51001\\n116\\t920.25\\n117\\t924.97998\\n118\\t929.719971\\n119\\t934.460022\\n120\\t939.190002\\n121\\t943.929993\\n122\\t948.659973\\n123\\t953.400024\\n124\\t958.130005\\n125\\t962.869995\\n126\\t967.599976\\n127\\t972.340027\\n128\\t977.080017\\n129\\t981.809998\\n130\\t986.549988\\n131\\t991.280029\\n132\\t996.02002\\n\\nDue to weather and time constraints faced by the contractor, several small data gaps exist within the project boundary. Additionally systematic small rectangular data gaps within many scenes are present (these are unrelated and additional to those due to \\u201cweather and time constraints\\u201d stated by the contractor).\\\", \\\"edition-date\\\": \\\"\\\", \\\"publisher\\\": \\\"Hakai Institute\\\", \\\"title\\\": \\\"Hyperspectral Imagery - Calvert Island - 2012\\\", \\\"version\\\": \\\"1.0\\\", \\\"DOI\\\": \\\"10.21966/64tt-jh34\\\", \\\"language\\\": \\\"en\\\", \\\"URL\\\": \\\"https://catalogue.hakai.org/dataset/ca-cioos_4be1cc5e-8846-4fba-bd94-16ca933faab8?local=en\\\"}]","fr":"[{\\\"type\\\": \\\"dataset\\\", \\\"id\\\": \\\"ca.cioos_4be1cc5e-8846-4fba-bd94-16ca933faab8\\\", \\\"author\\\": [{\\\"given\\\": \\\"Terra\\\", \\\"family\\\": \\\"Remote Sensing Team\\\"}, {\\\"given\\\": \\\"Gordon\\\", \\\"family\\\": \\\"Frazer\\\"}, {\\\"given\\\": \\\"David\\\", \\\"family\\\": \\\"Mostyn\\\"}, {\\\"given\\\": \\\"Hakai\\\", \\\"family\\\": \\\"Geospatial\\\"}], \\\"issued\\\": [{\\\"date-parts\\\": [\\\"2016\\\", \\\"11\\\", \\\"20\\\"]}], \\\"abstract\\\": \\\"Les 5, 15 et 17 ao\\u00fbt 2012, TRSI a recueilli des donn\\u00e9es d'images hyperspectrales, LiDAR et num\\u00e9riques dans quatre sites de projet \\u00e0 l'\\u00eele Calvert, en Colombie-Britannique et \\u00e0 proximit\\u00e9, \\u00e0 l'aide d'un avion \\u00e0 voilure fixe dot\\u00e9 d'un syst\\u00e8me LiDAR et d'un capteur hyperspectral. Un syst\\u00e8me combin\\u00e9 GPS/INS (Inertial Navigation System) a \\u00e9t\\u00e9 utilis\\u00e9 pour l'altitude et la position de l'avion. Au total, 477,22 km^2 ont \\u00e9t\\u00e9 parcourus lors de cette mission avec une hauteur de vol de 1150 m\\u00e8tres au-dessus du niveau du sol (AGL) visant \\u00e0 obtenir une r\\u00e9solution spatiale de 1,5 m\\u00e8tre pour l'imagerie hyperspectrale. \\n\\nL'imagerie hyperspectrale a \\u00e9t\\u00e9 livr\\u00e9e sous la forme d'un ensemble de 94 \\u00ab\\u00a0sc\\u00e8nes\\u00a0\\u00bb longues et \\u00e9troites, chacune correspondant approximativement \\u00e0 une ligne de vol individuelle (\\u00e0 partir d'une mission de vol en quadrillage). De cette fa\\u00e7on, les dimensions et l'orientation varient quelque peu d'une sc\\u00e8ne \\u00e0 l'autre. Il y a principalement des sc\\u00e8nes nord-sud et ouest-est qui couvrent la longueur et la largeur des \\u00eeles Calvert et H\\u00e9cate et une partie du continent au nord. Dans certains cas, il y a un chevauchement incoh\\u00e9rent entre les sc\\u00e8nes\\u00a0; dans d'autres, l'imagerie est align\\u00e9e au niveau des coutures ou avec un petit espace entre les deux. Bien que les d\\u00e9tails concernant le post-traitement effectu\\u00e9 sur les images par l'entrepreneur soient insuffisants, les hypoth\\u00e8ses suivantes ont \\u00e9t\\u00e9 formul\\u00e9es sur la base de l'analyse\\u00a0: \\n\\n\\u2022 L'imagerie a \\u00e9t\\u00e9 g\\u00e9orrectifi\\u00e9e (le MNT utilis\\u00e9 est inconnu). \\n\\u2022 L'imagerie a \\u00e9t\\u00e9 corrig\\u00e9e radiom\\u00e9triquement dans une certaine mesure, bien qu'il soit prouv\\u00e9 que seuls quelques fichiers d'\\u00e9talonnage ont \\u00e9t\\u00e9 utilis\\u00e9s de mani\\u00e8re incoh\\u00e9rente pour toutes les sc\\u00e8nes pendant la correction radiom\\u00e9trique, et que les zones qui se chevauchent entre les sc\\u00e8nes pr\\u00e9sentent parfois de grandes variations dans les valeurs des pixels de radiance des m\\u00eames entit\\u00e9s sur C'est le m\\u00eame groupe. \\n\\u2022 Aucune correction atmosph\\u00e9rique n'a \\u00e9t\\u00e9 effectu\\u00e9e sur l'imagerie. \\n\\nLes sp\\u00e9cifications techniques de toutes les sc\\u00e8nes sont les suivantes\\u00a0: \\n\\nFormat raster\\u00a0: fichiers .dat ENVI\\nType de raster\\u00a0: entier non sign\\u00e9 16 bits\\nProjection\\u00a0: UTM Zone 9\\nDate\\u00a0: NAD 83\\nG\\u00e9o\\u00efde\\u00a0: HT 2.0\\nPlateforme de capteur\\u00a0: capteur de mod\\u00e8le hyperspectral AISA non sp\\u00e9cifi\\u00e9. \\nHauteur de vol\\u00a0: 1150 m AGL\\nFr\\u00e9quence d'images\\u00a0: 43 ips\\nR\\u00e9solution spatiale\\u00a0: 2 m\\nPr\\u00e9cision horizontale\\u00a0: +/- 2 pixels\\nPlage spectrale\\u00a0: 392 \\u2014 996 nm\\nNombre de groupes par sc\\u00e8ne\\u00a0: 132\\nR\\u00e9solution spectrale\\u00a0: ~ 4,25 nm\\nLes valeurs de pixel repr\\u00e9sentent la radiance en (mw/cm^2*str*um) * 100\\nValeur NoData = 0. \\n\\n\\nTableau de couverture spectrale des bandes \\nBande # Longueur d'onde (nm)\\n1 392,730011\\n2 396.980011\\n3 401.220001\\n4 405.470001\\n5 409.720001\\n6 413.970001\\n7 418.220001\\n8 422.459991\\n9 426.709991\\n10 430.959991\\n1 435.220001\\n12 439.630005\\n13 444.079987\\n14 448,540009\\n15 452.98999\\n16 457.450012\\n17 461.899994\\n18 466.350006\\n19 470,809998\\n20 475.26001\\n21 479.720001\\n22 484.170013\\n23 488.630005\\n24 493.079987\\n25 497,529999\\n26 501.98999\\n27 506.440002\\n28 510.899994\\n29 515.349976\\n30 519.799988\\n31 524.26001\\n32 528.710022\\n33 533.16983\\n34 537,6 1995\\n35 542.070007\\n36 546,559998\\n37 551.169983\\n38 555.789978\\n39 560,409973\\n40 565.030029\\n41 569.650024\\n42 574.27002\\n43 578.890015\\n44 583.51001\\n45 588.140015\\n46 592.76001\\n47 597.380005\\n48 602\\n49 606.6.1995\\n50 611.23999\\n51 615.859985\\n52 620.47998\\n53 625.109985\\n54 629.72998\\n55 634.349976\\n56 638,969971\\n57 643.590027\\n58 648.210022\\n59 652.830017\\n60 657.460022\\n61 662.080017\\n62 666.700012\\n63 671.320007\\n64 675.940002\\n65 680.570007\\n66 685.190002\\n67 689.809998\\n68 694.429993\\n69 699.059998\\n70 703.710022\\n71 708.349976\\n72 713\\n73 717.640015\\n74 722.289978\\n75 726.929993\\n76 731.580017\\n7 736,21971\\n78 740.859985\\n79 745,51001\\n80 750,15973\\n81 754.880005\\n82 759,609985\\n83 764.340027\\n84 769.070007\\n85 773,799988\\n86 778.530029\\n87 783.26001\\n88 787.9899\\n89 792.719971\\n90 797.450012\\n91 802.179993\\n92 806.909973\\n93 811.640015\\n94 816.369995\\n95 821.099976\\n96 825.830017\\n97 830.549988\\n98 835.27002\\n99 839.98999\\n100 844.710022\\n101 849,429993\\n102 854.150024\\n103 858,869995\\n104 863.590027\\n105 868,309998\\n106 873.030029\\n107 877,75\\n108 882.469971\\n109 887.190002\\n110 891.900024\\n11 896.61995\\n112 901.340027\\n113 906.059998\\n114 910.780029\\n115 915.51001\\n116 920,25\\n117 924.97998\\n18 929.71997\\n119 934.460022\\n120 939.190002\\n121 943.929993\\n12 948,65973\\n123 953.400024\\n124 958.130005\\n125 962,869995\\n126 967.599976\\n127 972.340027\\n128 977.080017\\n129 981.809998\\n130 986,549988\\n131 991.280029\\n132 996.02002\\n\\nEn raison des contraintes m\\u00e9t\\u00e9orologiques et temporelles auxquelles l'entrepreneur est confront\\u00e9, il existe plusieurs petites lacunes dans les donn\\u00e9es \\u00e0 l'int\\u00e9rieur des limites du projet. De plus, de petites lacunes rectangulaires syst\\u00e9matiques sont pr\\u00e9sentes dans de nombreuses sc\\u00e8nes (elles ne sont pas li\\u00e9es et s'ajoutent \\u00e0 celles dues aux \\u00ab\\u00a0contraintes m\\u00e9t\\u00e9orologiques et temporelles\\u00a0\\u00bb indiqu\\u00e9es par l'entrepreneur).\\\", \\\"edition-date\\\": \\\"\\\", \\\"publisher\\\": \\\"Hakai Institute\\\", \\\"title\\\": \\\"Imagerie hyperspectrale - Calvert Island - 2012\\\", \\\"version\\\": \\\"1.0\\\", \\\"DOI\\\": \\\"10.21966/64tt-jh34\\\", \\\"language\\\": \\\"fr\\\", \\\"URL\\\": \\\"https://catalogue.hakai.org/dataset/ca-cioos_4be1cc5e-8846-4fba-bd94-16ca933faab8?local=fr\\\"}]"},"keywords":{"en":["oceans","downloadable-data","hyperspectral","imagery","remote-sensing","terra","trsi","air-photo","areal-photography","orthoimage","other","airborne-coastal-observatory"],"fr":["autre"]},"num_tags":0,"progress":"completed","projects":["Airborne Coastal Observatory"],"owner_org":"f6f187f7-19f2-4273-a45a-5d9406204873","resources":[{"id":"8791c680-a943-41ba-bc94-bae9ff2c3d2e","url":"https://hecate.hakai.org/auth/access-request.php?ref=https://doi.org/10.21966/64tt-jh34","hash":"","name":"Formulaire de demande d'accès aux données Hakai en ligne","size":null,"state":"active","format":"HTML","created":"2026-05-26T07:15:34.823867","mimetype":null,"position":0,"url_type":null,"cache_url":null,"package_id":"44754736-c8be-49b1-8806-a0ca4a78255a","description":"Formulaire en ligne pour demander l'accès à des ensembles de données particuliers appartenant à Hakai","last_modified":null,"resource_type":null,"created_source":"2026-05-26T07:15:34.823867","mimetype_inner":null,"name_translated":{"en":"Hakai Data Access Online Request Form","fr":"Formulaire de demande d'accès aux données Hakai en ligne"},"datastore_active":false,"metadata_modified":"2026-09-22T21:19:15.480285","cache_last_updated":null,"description_translated":{"en":"Online form for requesting access to particular datasets owned by Hakai","fr":"Formulaire en ligne pour demander l'accès à des ensembles de données particuliers appartenant à Hakai"},"metadata_modified_source":"2026-05-26T07:15:34.739580","resource_locator_function":"","resource_locator_protocol":"WWW:LINK"}],"datacentre":[],"license_id":"CC-BY-4.0","maintainer":null,"distributor":[{"role":["distributor"],"individual-name":"","organisation-name":"Hakai Institute","contact-info_email":"data@hakai.org","organisation-uri_code":"https://ror.org/02pry0c91","organisation-uri_version":"","organisation-uri_authority":"","organisation-uri_code-space":""}],"license_url":"https://creativecommons.org/licenses/by/4.0/","author_email":null,"organization":{"id":"f6f187f7-19f2-4273-a45a-5d9406204873","name":"cioos-pacific","type":"organization","state":"active","title":"SIOOC-Pacifique","created":"2026-07-31T15:58:21.015456","image_url":"","description":"","display_name":"CIOOS-Pacific","num_followers":0,"approval_status":"approved","is_organization":true,"organization-uri":[{"code":"","version":"","authority":"","code-space":""}],"title_translated":{"en":"CIOOS-Pacific","fr":"SIOOC-Pacifique"},"external_home_url":"https://cioospacific.ca","image_display_url":"","image_url_translated":{"en":"https://catalogue.cioos.ca/base/images/logos/cioos-pacific_logo_RA_EN.png","fr":"https://catalogue.cioos.ca/base/images/logos/cioos-pacific_logo_RA_FR.png"},"description_translated":{"en":"The Canadian Integrated Ocean Observing System (CIOOS) Pacific is the regional hub of the National CIOOS for ocean data aggregation on Canada’s west coast.","fr":"Le Système intégré d’observation des océans canadien (SIOOC) Pacifique est la plaque tournante régionale du SIOOC national pour l’agrégation des données océaniques sur la côte ouest du Canada."}},"license_title":"Creative Commons Attribution 4.0","num_resources":1,"resource-type":"dataset","bbox-east-long":"-127.8094482421875","bbox-north-lat":"51.78993084774129","bbox-south-lat":"51.40948589555509","bbox-west-long":"-128.21594238281247","creator_user_id":"fe6035ee-ed91-4ead-b5b2-4048232a22bb","temporal-extent":[{"end":"2012-08-17","begin":"2012-08-05"}],"vertical-extent":[{"max":"3000.0","min":"0.0"}],"aggregation-info":[{"initiative-type":"","association-type":"crossReference","aggregate-dataset-name":{"en":"Data Acquisition Report","fr":"Rapport d'acquisition de données"},"aggregate-dataset-identifier_code":"https://drive.google.com/drive/u/0/folders/0B5tZaev73xELV0Rib19SS3diSGM"}],"maintainer_email":null,"maintenance-note":"Generated from https://hakaiinstitute.github.io/hakai-metadata-entry-form#/en/hakai/qbqh6DF00XZq8MOpQ3kKkI9GUv43/-MU1SSXd3cG5UbzVYVW8","metadata_created":"2026-09-22T21:19:15.483302","notes_translated":{"en":"On August 5th, 15th ,and 17th , 2012, TRSI collected hyperspectral, LiDAR and digital image data in four project sites at and near Calvert Island, B.C. using a fixed wing aircraft with LiDAR system and a hyperspectral sensor. A combined GPS/INS System (Inertial Navigation System) was used for aircraft altitude and position. A total of 477.22 km^2 was covered on this mission with a flight height of 1150 meters above ground level (AGL) aiming to obtain 1.5 metre spatial resolution for hyperspectral Imagery. \n\nThe hyperspectral imagery was delivered as a set of 94 long and narrow swath “scenes” with each corresponding roughly to an individual flight line (from a grid pattern flight mission).  In this fashion the dimensions and orientation varies somewhat from scene to scene. Predominantly there are North-South and West-East scenes which cover the length and width of Calvert and Hecate Islands and a portion of the mainland to the north. There is an inconsistent overlap between scenes in some cases; in others the imagery aligns at the seams or with a small gap in between.  While details pertaining to post-processing performed on the imagery by the contractor are lacking, based on analysis the following assumptions have been made: \n\n•\tThe imagery has been georectified (the DEM used is unknown). \n•\tThe imagery has been radiometrically corrected to some degree although there is evidence that only a few calibrations files were used inconsistently for all scenes during radiometric correction, and overlapping areas between scenes have sometimes large variations in radiance pixel values of the same features on the same band. \n•\tNo atmospheric correction has been performed on the imagery. \n\nThe technical specifications for all scenes are the following: \n\nRaster format: ENVI .dat files\nRaster type: 16 bit unsigned integer\nProjection:  UTM Zone 9\nDatum: NAD 83\nGeoid:  HT 2.0\nSensor platform: AISA Hyperspectral unspecified model sensor. \nFlying Height: 1150m AGL\nFrame Rate: 43 FPS\nSpatial Resolution: 2m\nHorizontal accuracy: +/- 2 pixel\nSpectral range: 392 – 996nm\nNo. of Bands per scene: 132\nSpectral resolution: ~4.25nm\nPixel values represent radiance in (mw/cm^2*str*um)* 100\nNoData Value = 0. \n\n\nTable of band spectral coverage \nBand #\tWavelength (nm)\n1\t392.730011\n2\t396.980011\n3\t401.220001\n4\t405.470001\n5\t409.720001\n6\t413.970001\n7\t418.220001\n8\t422.459991\n9\t426.709991\n10\t430.959991\n11\t435.220001\n12\t439.630005\n13\t444.079987\n14\t448.540009\n15\t452.98999\n16\t457.450012\n17\t461.899994\n18\t466.350006\n19\t470.809998\n20\t475.26001\n21\t479.720001\n22\t484.170013\n23\t488.630005\n24\t493.079987\n25\t497.529999\n26\t501.98999\n27\t506.440002\n28\t510.899994\n29\t515.349976\n30\t519.799988\n31\t524.26001\n32\t528.710022\n33\t533.169983\n34\t537.619995\n35\t542.070007\n36\t546.559998\n37\t551.169983\n38\t555.789978\n39\t560.409973\n40\t565.030029\n41\t569.650024\n42\t574.27002\n43\t578.890015\n44\t583.51001\n45\t588.140015\n46\t592.76001\n47\t597.380005\n48\t602\n49\t606.619995\n50\t611.23999\n51\t615.859985\n52\t620.47998\n53\t625.109985\n54\t629.72998\n55\t634.349976\n56\t638.969971\n57\t643.590027\n58\t648.210022\n59\t652.830017\n60\t657.460022\n61\t662.080017\n62\t666.700012\n63\t671.320007\n64\t675.940002\n65\t680.570007\n66\t685.190002\n67\t689.809998\n68\t694.429993\n69\t699.059998\n70\t703.710022\n71\t708.349976\n72\t713\n73\t717.640015\n74\t722.289978\n75\t726.929993\n76\t731.580017\n77\t736.219971\n78\t740.859985\n79\t745.51001\n80\t750.159973\n81\t754.880005\n82\t759.609985\n83\t764.340027\n84\t769.070007\n85\t773.799988\n86\t778.530029\n87\t783.26001\n88\t787.98999\n89\t792.719971\n90\t797.450012\n91\t802.179993\n92\t806.909973\n93\t811.640015\n94\t816.369995\n95\t821.099976\n96\t825.830017\n97\t830.549988\n98\t835.27002\n99\t839.98999\n100\t844.710022\n101\t849.429993\n102\t854.150024\n103\t858.869995\n104\t863.590027\n105\t868.309998\n106\t873.030029\n107\t877.75\n108\t882.469971\n109\t887.190002\n110\t891.900024\n111\t896.619995\n112\t901.340027\n113\t906.059998\n114\t910.780029\n115\t915.51001\n116\t920.25\n117\t924.97998\n118\t929.719971\n119\t934.460022\n120\t939.190002\n121\t943.929993\n122\t948.659973\n123\t953.400024\n124\t958.130005\n125\t962.869995\n126\t967.599976\n127\t972.340027\n128\t977.080017\n129\t981.809998\n130\t986.549988\n131\t991.280029\n132\t996.02002\n\nDue to weather and time constraints faced by the contractor, several small data gaps exist within the project boundary. Additionally systematic small rectangular data gaps within many scenes are present (these are unrelated and additional to those due to “weather and time constraints” stated by the contractor).","fr":"Les 5, 15 et 17 août 2012, TRSI a recueilli des données d'images hyperspectrales, LiDAR et numériques dans quatre sites de projet à l'île Calvert, en Colombie-Britannique et à proximité, à l'aide d'un avion à voilure fixe doté d'un système LiDAR et d'un capteur hyperspectral. Un système combiné GPS/INS (Inertial Navigation System) a été utilisé pour l'altitude et la position de l'avion. Au total, 477,22 km^2 ont été parcourus lors de cette mission avec une hauteur de vol de 1150 mètres au-dessus du niveau du sol (AGL) visant à obtenir une résolution spatiale de 1,5 mètre pour l'imagerie hyperspectrale. \n\nL'imagerie hyperspectrale a été livrée sous la forme d'un ensemble de 94 « scènes » longues et étroites, chacune correspondant approximativement à une ligne de vol individuelle (à partir d'une mission de vol en quadrillage). De cette façon, les dimensions et l'orientation varient quelque peu d'une scène à l'autre. Il y a principalement des scènes nord-sud et ouest-est qui couvrent la longueur et la largeur des îles Calvert et Hécate et une partie du continent au nord. Dans certains cas, il y a un chevauchement incohérent entre les scènes ; dans d'autres, l'imagerie est alignée au niveau des coutures ou avec un petit espace entre les deux. Bien que les détails concernant le post-traitement effectué sur les images par l'entrepreneur soient insuffisants, les hypothèses suivantes ont été formulées sur la base de l'analyse : \n\n• L'imagerie a été géorrectifiée (le MNT utilisé est inconnu). \n• L'imagerie a été corrigée radiométriquement dans une certaine mesure, bien qu'il soit prouvé que seuls quelques fichiers d'étalonnage ont été utilisés de manière incohérente pour toutes les scènes pendant la correction radiométrique, et que les zones qui se chevauchent entre les scènes présentent parfois de grandes variations dans les valeurs des pixels de radiance des mêmes entités sur C'est le même groupe. \n• Aucune correction atmosphérique n'a été effectuée sur l'imagerie. \n\nLes spécifications techniques de toutes les scènes sont les suivantes : \n\nFormat raster : fichiers .dat ENVI\nType de raster : entier non signé 16 bits\nProjection : UTM Zone 9\nDate : NAD 83\nGéoïde : HT 2.0\nPlateforme de capteur : capteur de modèle hyperspectral AISA non spécifié. \nHauteur de vol : 1150 m AGL\nFréquence d'images : 43 ips\nRésolution spatiale : 2 m\nPrécision horizontale : +/- 2 pixels\nPlage spectrale : 392 — 996 nm\nNombre de groupes par scène : 132\nRésolution spectrale : ~ 4,25 nm\nLes valeurs de pixel représentent la radiance en (mw/cm^2*str*um) * 100\nValeur NoData = 0. \n\n\nTableau de couverture spectrale des bandes \nBande # Longueur d'onde (nm)\n1 392,730011\n2 396.980011\n3 401.220001\n4 405.470001\n5 409.720001\n6 413.970001\n7 418.220001\n8 422.459991\n9 426.709991\n10 430.959991\n1 435.220001\n12 439.630005\n13 444.079987\n14 448,540009\n15 452.98999\n16 457.450012\n17 461.899994\n18 466.350006\n19 470,809998\n20 475.26001\n21 479.720001\n22 484.170013\n23 488.630005\n24 493.079987\n25 497,529999\n26 501.98999\n27 506.440002\n28 510.899994\n29 515.349976\n30 519.799988\n31 524.26001\n32 528.710022\n33 533.16983\n34 537,6 1995\n35 542.070007\n36 546,559998\n37 551.169983\n38 555.789978\n39 560,409973\n40 565.030029\n41 569.650024\n42 574.27002\n43 578.890015\n44 583.51001\n45 588.140015\n46 592.76001\n47 597.380005\n48 602\n49 606.6.1995\n50 611.23999\n51 615.859985\n52 620.47998\n53 625.109985\n54 629.72998\n55 634.349976\n56 638,969971\n57 643.590027\n58 648.210022\n59 652.830017\n60 657.460022\n61 662.080017\n62 666.700012\n63 671.320007\n64 675.940002\n65 680.570007\n66 685.190002\n67 689.809998\n68 694.429993\n69 699.059998\n70 703.710022\n71 708.349976\n72 713\n73 717.640015\n74 722.289978\n75 726.929993\n76 731.580017\n7 736,21971\n78 740.859985\n79 745,51001\n80 750,15973\n81 754.880005\n82 759,609985\n83 764.340027\n84 769.070007\n85 773,799988\n86 778.530029\n87 783.26001\n88 787.9899\n89 792.719971\n90 797.450012\n91 802.179993\n92 806.909973\n93 811.640015\n94 816.369995\n95 821.099976\n96 825.830017\n97 830.549988\n98 835.27002\n99 839.98999\n100 844.710022\n101 849,429993\n102 854.150024\n103 858,869995\n104 863.590027\n105 868,309998\n106 873.030029\n107 877,75\n108 882.469971\n109 887.190002\n110 891.900024\n11 896.61995\n112 901.340027\n113 906.059998\n114 910.780029\n115 915.51001\n116 920,25\n117 924.97998\n18 929.71997\n119 934.460022\n120 939.190002\n121 943.929993\n12 948,65973\n123 953.400024\n124 958.130005\n125 962,869995\n126 967.599976\n127 972.340027\n128 977.080017\n129 981.809998\n130 986,549988\n131 991.280029\n132 996.02002\n\nEn raison des contraintes météorologiques et temporelles auxquelles l'entrepreneur est confronté, il existe plusieurs petites lacunes dans les données à l'intérieur des limites du projet. De plus, de petites lacunes rectangulaires systématiques sont présentes dans de nombreuses scènes (elles ne sont pas liées et s'ajoutent à celles dues aux « contraintes météorologiques et temporelles » indiquées par l'entrepreneur)."},"title_translated":{"en":"Hyperspectral Imagery - Calvert Island - 2012","fr":"Imagerie hyperspectrale - Calvert Island - 2012"},"xml_location_url":"https://metadata-generator-proxy.server.hakai.app/metadata/hakai/hyperspectral_imagery___calver_4be1c.xml","metadata-language":"en","metadata_modified":"2026-09-22T21:19:15.483306","frequency-of-update":"asNeeded","dataset-reference-date":[{"type":"creation","value":"2012-08-05"},{"type":"publication","value":"2016-11-20"}],"cited-responsible-party":[{"role":["originator","pointOfContact","processor","resourceProvider"],"individual-name":"Remote Sensing Team, Terra","organisation-name":"Hakai Institute","contact-info_email":"data@hakai.org","organisation-uri_code":"https://ror.org/02pry0c91","organisation-uri_version":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""},{"role":["author","originator","pointOfContact","processor"],"individual-name":"Frazer, Gordon","organisation-name":"University of Northern British Columbia","contact-info_email":"","organisation-uri_code":"https://ror.org/025wzwv46","organisation-uri_version":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""},{"role":["originator","pointOfContact"],"individual-name":"Mostyn, David","organisation-name":"Terra Remote Sensing Inc.","contact-info_email":"david.mostyn@terraremote.com","contact-info_online-resource":""},{"role":["custodian","pointOfContact","principalInvestigator","processor","editor"],"individual-name":"Hakai Geospatial","organisation-name":"Hakai Institute","contact-info_email":"data@hakai.org","organisation-uri_code":"https://ror.org/02pry0c91","organisation-uri_version":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""},{"role":"publisher","individual-name":"","organisation-name":"Hakai Institute","contact-info_email":"","organisation-uri_code":"https://ror.org/02pry0c91","organisation-uri_version":"","organisation-uri_authority":"","organisation-uri_code-space":""}],"metadata-reference-date":[{"type":"publication","value":"2022-03-03"},{"type":"revision","value":"2026-05-25"}],"relationships_as_object":[],"notes_translation_method":{"en":"","fr":"text translated using the Amazon translate service / texte traduit à l'aide du service de traduction Amazon"},"relationships_as_subject":[],"title_translation_method":{"en":"","fr":"text translated using the Amazon translate service / texte traduit à l'aide du service de traduction Amazon"},"metadata-point-of-contact":[{"role":["distributor","owner","pointOfContact","principalInvestigator","resourceProvider"],"individual-name":"","organisation-name":"Hakai Institute","contact-info_email":"data@hakai.org","individual-uri_code":"","organisation-uri_code":"https://ror.org/02pry0c91","organisation-uri_version":"","organisation-uri_authority":"","organisation-uri_code-space":""},{"role":["custodian","pointOfContact","principalInvestigator","processor","editor"],"individual-name":"Hakai Geospatial","organisation-name":"Hakai Institute","contact-info_email":"data@hakai.org","individual-uri_code":"","organisation-uri_code":"https://ror.org/02pry0c91","organisation-uri_version":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""},{"role":"funder","individual-name":"","organisation-name":"Tula Foundation","contact-info_email":"","individual-uri_code":"","organisation-uri_code":"https://ror.org/02pry0c91","organisation-uri_version":"","organisation-uri_authority":"","organisation-uri_code-space":""}],"included_in_data_catalogue":[{"url":"https://catalogue.cioos.ca","name":{"en":"CIOOS Catalogue","fr":"Catalogue du SIOOC"},"description":""},{"url":"https://catalogue.hakai.org","name":{"en":"Hakai Data Catalogue","fr":"Hakai Data Catalogue"},"description":{"en":"Science on the Coastal Margin","fr":"Science on the Coastal Margin"}},{"url":"https://catalogue.cioospacific.ca","name":{"en":"CIOOS Pacific","fr":"SIOOC Pacifique"},"description":{"en":"A description of the Catalogue","fr":"Une description du catalogue"}}],"keywords_translation_method":{"en":""},"unique-resource-identifier-full":[{"code":"https://doi.org/10.21966/64tt-jh34","version":"","authority":"","code-space":""}]}}