{"id":471,"date":"2023-04-30T15:07:51","date_gmt":"2023-04-30T07:07:51","guid":{"rendered":"https:\/\/www.artixels.com\/wp1\/?p=471"},"modified":"2025-05-02T19:41:43","modified_gmt":"2025-05-02T11:41:43","slug":"lunar-orbital-data","status":"publish","type":"post","link":"https:\/\/www.artixels.com\/wp1\/2023\/04\/30\/lunar-orbital-data\/","title":{"rendered":"Using Lunar Orbital Data (production)"},"content":{"rendered":"\n<p class=\"has-small-font-size wp-block-paragraph\">FATface&#8217;s recent project <a href=\"https:\/\/www.artixels.com\/wp1\/2023\/03\/01\/wandering-earth-2\/\">The Wandering Earth II<\/a> did offer an opportunity of researching modern scientific data available for our moon and I learned quite a bit from it.<\/p>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\">Most moon related data available these days rely on NASA&#8217;s <a href=\"https:\/\/www.lroc.asu.edu\/about\">Lunar Reconnaissance Orbiter (LRO)<\/a>, a spacecraft which is now orbiting the moon. Its daily data output rate reaches 155 GBytes per day. The LRO website provides many useful means to help us understand our moon which includes a very useful interative 3D navigation tools called <a href=\"https:\/\/quickmap.lroc.asu.edu\/\">QuickMap<\/a> (see below).  QuickMap is extremely useful when people want to discuss about the moon such as locating a crater or explore the lighting condition on the moon, etc. <\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2025\/05\/quickmap.jpg\" alt=\"\" class=\"wp-image-546\" srcset=\"https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2025\/05\/quickmap.jpg 512w, https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2025\/05\/quickmap-300x300.jpg 300w, https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2025\/05\/quickmap-150x150.jpg 150w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><\/figure>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\">Scientists all over the world would research and create derivative dataset using LROC data and other moon research data.  Since we were interested in Digital Elevation Models (DEM) of the moon and we discovered some useful datasets from <a href=\"https:\/\/imbrium.mit.edu\/\">MIT<\/a>.   They used the data collected by the laser altimeter (LOLA) on the LRO to derive useful <a href=\"https:\/\/imbrium.mit.edu\/BROWSE\/LOLA_GDR\/CYLINDRICAL\/ELEVATION\/\">DEM data<\/a>. <\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"732\" src=\"https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/LOLA_sample.jpg\" alt=\"\" class=\"wp-image-554\" srcset=\"https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/LOLA_sample.jpg 1024w, https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/LOLA_sample-300x214.jpg 300w, https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/LOLA_sample-768x549.jpg 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">DEM data are available in many different precisions<\/figcaption><\/figure>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\">As an exercise, we collected a set of high resolution DEM data bitmaps (in .IMG format of PDS standard).  Via the <a href=\"https:\/\/github.com\/OSGeo\/gdal\">GDAL python library<\/a>, we were able to read these data into numpy arrays and successfully stitched and exported them using <a href=\"https:\/\/github.com\/AcademySoftwareFoundation\/OpenImageIO\">OpenImageIO<\/a> library into a 16-bit OpenEXR for displacement use.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"923\" src=\"https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/mooncake_usdview-1024x923.jpg\" alt=\"\" class=\"wp-image-555\" srcset=\"https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/mooncake_usdview-1024x923.jpg 1024w, https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/mooncake_usdview-300x270.jpg 300w, https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/mooncake_usdview-768x692.jpg 768w, https:\/\/www.artixels.com\/wp1\/wp-content\/uploads\/2023\/04\/mooncake_usdview.jpg 1147w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Baked geometry from Arnold using the LOLA DEM data<\/figcaption><\/figure>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\">As a side note, the size of these <a href=\"https:\/\/ode.rsl.wustl.edu\/moon\/\">scientific data<\/a> could become difficult to manage quickly.  I had a case where I could produce a map up to a resolution of 184320 x 92160.  In fact, no commercial image processing packages could reliably load and display it.  So far, only <a href=\"https:\/\/www.gimp.org\/\">GIMP<\/a> could reliably load, display and edit it.  In most cases, I used OpenImageIO processing and numpy library to process these data programmatically for reliability reasons.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>FATface&#8217;s recent project The Wandering Earth II did offer an opportunity of researching modern scientific data available for our moon and I learned quite a bit from it. Most moon related data available these days rely on NASA&#8217;s Lunar Reconnaissance Orbiter (LRO), a spacecraft which is now orbiting the moon. Its daily data output rate [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":536,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10,8,7],"tags":[],"class_list":["post-471","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-pin","category-rnd","category-vfx"],"_links":{"self":[{"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/posts\/471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/comments?post=471"}],"version-history":[{"count":13,"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/posts\/471\/revisions"}],"predecessor-version":[{"id":628,"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/posts\/471\/revisions\/628"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/media\/536"}],"wp:attachment":[{"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/media?parent=471"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/categories?post=471"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.artixels.com\/wp1\/wp-json\/wp\/v2\/tags?post=471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}