{"id":41,"date":"2017-03-08T15:37:04","date_gmt":"2017-03-08T06:37:04","guid":{"rendered":"http:\/\/red3dmap.osta.jp\/wpcms\/?page_id=41"},"modified":"2017-03-30T13:17:25","modified_gmt":"2017-03-30T04:17:25","slug":"top","status":"publish","type":"page","link":"https:\/\/www.rrim.jp\/","title":{"rendered":"RRIM"},"content":{"rendered":"<section class=\"container singletext\">\n<h2 class=\"page-tt\">What is Red Relief Image Map?<span class=\"red\">Red Rerief Image Map<\/span><\/h2>\n<p>\nRed Relief Image Map (RRIM) is a completely new 3D visualization method for topography using chroma of red color to slope and brightness of red color to ridge-valley value calculated from DEM.<\/p>\n<p>\nThe RRIM has overcame the shortness of traditional visualization methods, such as weakness for scaling, light direction dependence, necessary of stereoscope and filtering, can express details of topography by single image map.<\/p>\n<p>\nFor make the RRIM, we use the patented technology holed by Asia Air Survey, Co., Ltd., registered in Japan as well as US, China, and Taiwan.<\/p>\n<p>\nThe RRIM can be used for investigation of topographical features such as volcano, landslide and fault, also useful for remains and ancient tomb investigation, tourist guide map and mountain climber\u2019s map etc.\u3000[<a href=\"\/en\/patent\/\">patent information<\/a>]<\/p>\n<\/p>\n<\/section>\n<section class=\"container topbanner\">\n<!-- Either there are no banners, they are disabled or none qualified for this location! --><br \/>\n<\/section>\n<section class=\"container\">\n<h2 class=\"page-tt\">Invent of the RRIM and its characteristics<\/h2>\n<div class=\"two-row\">\n<div>\n<p>\nThe RRIM was originally invented in 2002 for visualize the result of airborne LiDAR measurement. The airborne LiDAR measurement can get a large amount of data. However, in the acquired data set, conventional contour map only can express the data which coincide with the specific contour interval. On the other hand, when using a large amount of data to create contour map, the distance between contours will be too narrow and very hard to express the ground surface with unevenness.\n<\/p>\n<p>\nUnder this situation, we express the ground surface as \u201cplan\u201d by \u201cchroma and brightness of red color\u201d instead of the \u201cline\u201d of contour. Using whole digital elevation data, the method can express the details of ground surface, available for very easy to understand the real topographical features of the site. Moreover, differ to aerial photos which need a pair for stereographic vision, this method use only single map to express 3D visualization.\n<\/p>\n<p>\nIn the RRIM, the ground surface is expressed as the steeper the redder, bright on ridges and dark in valley. The RRIM can express any scale of topography, especially very powerful to express micro topographical features.\n<\/p>\n<p class=\"caption\">\nComparison of topographical expression method (Chiba et al., 2011)Upper left: contour map; Upper right: Ortho image; Lower left: Contour map from airborne LiDAR; Lower right: RRIM\n<\/p>\n<\/p><\/div>\n<div><img decoding=\"async\" src=\"\/wpcms\/wp-content\/themes\/rrim-theme\/images\/pic-top-guide1.png\" alt=\"\"><\/div>\n<\/div>\n<\/section>\n<section class=\"container\">\n<h2 class=\"page-tt\">Principle of Red Relief Image Map<\/h2>\n<div class=\"two-row\">\n<div>\n<p>\nFor create the RRIM, slope gradient and positive openness and negative openness were calculated from DEM, ridge-valley value is calculated from positive and negative openness.<\/p>\n<p>\t<img decoding=\"async\" src=\"\/wpcms\/wp-content\/themes\/rrim-theme\/images\/pic-top-genri1-en.png\" alt=\"\" class=\"aligncenter\"><\/p>\n<p class=\"caption text-center\">Adjustment diagram  of  the Red Relief Image Map<\/p>\n<\/p><\/div>\n<div><img decoding=\"async\" src=\"\/wpcms\/wp-content\/themes\/rrim-theme\/images\/pic-top-flow1-en.png\" alt=\"\"><\/div>\n<\/div>\n<\/section>\n<section class=\"container-fluid grayzone\">\n<div class=\"container\">\n<h2 class=\"page-tt\">Interpretation using RRIM<\/h2>\n<\/p><\/div>\n<\/section>\n<section class=\"container\">\n<h2 class=\"page-tt\">The examples of using RRIM<\/h2>\n<h3 class=\"page-st\">Measurement of sediment displacement by Heliborne LiDAR<br \/>\n(The sediment-related disaster on July 16, 2010 inShobara-City,Hiroshima Prefecture)<br \/>\n<\/h3>\n<div class=\"two-row\">\n<div><img decoding=\"async\" src=\"\/wpcms\/wp-content\/themes\/rrim-theme\/images\/pic-top-ex1.png\" alt=\"\"><\/p>\n<p class=\"caption\">Tree created from airborne LiDAR measurement and detection of slope failures<\/p>\n<\/div>\n<div>\n<p>\nSmall landslides which difficult to be detected from aerial photos due to tree shadow, could be interpreted very clearly using the RRIM.<\/p>\n<p class=\"caption\">1) Takashi TSUCHIDA ,Yoshimitsu TAKEDA, Kiichiro OGAWA and Shinji NAKAI (2010): Preliminary report of landslide disasters in Shobara city, Hiroshima Prefecture, Japan triggered by the heavy rain storm on July 16th, 2010, Journal of JSNDS, 29-2, pp.245-257.<br \/>\n2) Masato NISHI, Shinyichiro HAYASHI, Takao YAMAKOSHI and Takeshi SHIMIZU (2010): The sediment disaster in Shobara city, Hiroshima, induced by July 16 2010 heavy rain by seasonal rain front, 52-9, pp.6-7.<\/p>\n<\/p><\/div>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>What is Red Relief Image Map?Red Rerief Image Map Red Relief Image Map (RRIM) is a completely new 3D visualization method for topography using chroma of red color to slope and brightness of red color to ridge-valley value calculated from DEM. The RRIM has overcame the shortness of traditional visualization methods, such as weakness for [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"home.php","meta":{"jetpack_post_was_ever_published":false,"_locale":"en_US","_original_post":"11","footnotes":""},"class_list":["post-41","page","type-page","status-publish","hentry","en-US"],"aioseo_notices":[],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/P8tOdL-F","_links":{"self":[{"href":"https:\/\/www.rrim.jp\/wp-json\/wp\/v2\/pages\/41","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rrim.jp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.rrim.jp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.rrim.jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rrim.jp\/wp-json\/wp\/v2\/comments?post=41"}],"version-history":[{"count":6,"href":"https:\/\/www.rrim.jp\/wp-json\/wp\/v2\/pages\/41\/revisions"}],"predecessor-version":[{"id":416,"href":"https:\/\/www.rrim.jp\/wp-json\/wp\/v2\/pages\/41\/revisions\/416"}],"wp:attachment":[{"href":"https:\/\/www.rrim.jp\/wp-json\/wp\/v2\/media?parent=41"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}