{"id":238,"date":"2016-08-02T18:13:21","date_gmt":"2016-08-02T17:13:21","guid":{"rendered":"http:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/?page_id=238"},"modified":"2016-08-02T18:15:57","modified_gmt":"2016-08-02T17:15:57","slug":"5-6-radiometric-and-temporal-resolution","status":"publish","type":"page","link":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/5-sensor-technology\/5-6-radiometric-and-temporal-resolution\/","title":{"rendered":"5.6. Radiometric and Temporal Resolution"},"content":{"rendered":"<hr \/>\n<p><strong>Objectives<\/strong><\/p>\n<p id=\"ta106_21_2\" class=\"block\">This learning object considers two further aspects of resolution in remote sensing: radiometric and temporal resolution.<\/p>\n<hr \/>\n<p class=\"block\"><strong>Radiometric Resolution<\/strong><\/p>\n<p>The number of unique values that can be recorded by a sensor when measuring reflected or emitted electromagnetic radiation is quantified as a number (e.g. 256, 2047, etc.) expressed in bits. The higher the radiometric resolution, the better the quality of the data. Bits are expressed as powers of 2, starting from 0<\/p>\n<p>1 bit = 2<sup>1<\/sup>, in other words the sensor can record values of 0 and 1<\/p>\n<p>2 bit = 2<sup>2<\/sup>, the sensor can record values of 0, 1, 2 and 3<\/p>\n<p>3 bit = 2<sup>3<\/sup> = 8<\/p>\n<p>Similarly, an 8 bit sensor can record values from 0 to 255 (because 2<sup>8<\/sup> = 256)<\/p>\n<p>The effects of changing the bits available for storage of a conventional photograph can be seen in the examples below, which represent 256, 4 and 2 shades between white and black<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.35-300x215.jpg\" class=\"alignnone wp-image-239 \" height=\"146\" width=\"204\" srcset=\"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.35-300x215.jpg 300w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.35-768x551.jpg 768w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.35-1024x734.jpg 1024w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.35.jpg 1181w\" sizes=\"auto, (max-width: 204px) 100vw, 204px\" \/> <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.36-300x215.jpg\" class=\"alignnone wp-image-240 \" height=\"145\" width=\"202\" srcset=\"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.36-300x215.jpg 300w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.36-768x551.jpg 768w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.36-1024x734.jpg 1024w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.36.jpg 1181w\" sizes=\"auto, (max-width: 202px) 100vw, 202px\" \/> <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.37-300x215.jpg\" class=\"alignnone wp-image-241 \" height=\"144\" width=\"201\" srcset=\"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.37-300x215.jpg 300w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.37-768x551.jpg 768w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.37-1024x734.jpg 1024w, https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.37.jpg 1181w\" sizes=\"auto, (max-width: 201px) 100vw, 201px\" \/><\/p>\n<p>(Image source: David Martin)<\/p>\n<p><strong>Temporal Resolution<\/strong><\/p>\n<p>Temporal resolution refers to the shortest period of time in which a sensor will revisit, or pass over, the same spot on the surface of the Earth.\u00a0 Because there is some degree of overlap in the imaging swaths of adjacent orbits of most satellites and this overlap increases with increasing latitude, some areas of the Earth tend to be re-imaged more frequently than others &#8211; overlaps are shown by the yellow areas in the map below. Landsat has a temporal resolution of 16 days, whereas AVHRR has a temporal resolution of just 12 hours.\u00a0 The temporal interval is strongly related to the type of orbit of the platform.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.38.png\" class=\"alignnone wp-image-242 size-full\" height=\"205\" width=\"253\" \/><\/p>\n<p>(Image source: CCRS)<\/p>\n<hr \/>\n<p><strong>Reflection<\/strong><\/p>\n<p>Which of the following images has the higher radiometric resolution?<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.39.jpg\" class=\"alignnone wp-image-243 size-full\" height=\"246\" width=\"128\" \/> <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-content\/uploads\/sites\/106\/2016\/08\/5.40.jpg\" class=\"alignnone wp-image-244 size-full\" height=\"246\" width=\"128\" \/><\/p>\n<p>\r\n<script>\/\/ <![CDATA[\r\nfunction showFunct() { document.getElementById(\"hideshow\").style.display = \"block\"; } function hideFunct() { document.getElementById(\"hideshow\").style.display = \"none\"; }\r\n\/\/ ]]><\/script>\r\n<\/p>\r\n<p style=\"text-decoration: underline; color: #336699;\" onclick=\"showFunct()\">Show Answer<\/p>\r\n<div id=\"hideshow\" style=\"display: none;\">\r\n<p>The image on the right has the higher radiometric resolution.  More bits have been used to store the information about each pixel, hence there are a greater range of grey values visible in this image. <\/p>\r\n<p style=\"text-decoration: underline; color: #336699; text-align: right;\" button=\"\" onclick=\"hideFunct()\">Hide Answer<\/p>\r\n<\/div>\n<hr \/>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Objectives This learning object considers two further aspects of resolution in remote sensing: radiometric and temporal resolution. Radiometric Resolution The number of unique values that can be recorded by a sensor when measuring reflected or emitted electromagnetic radiation is quantified as a number (e.g. 256, 2047, etc.) expressed in bits. The higher the radiometric resolution, [&hellip;]<\/p>\n","protected":false},"author":1726,"featured_media":0,"parent":179,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-238","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/pages\/238","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/users\/1726"}],"replies":[{"embeddable":true,"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/comments?post=238"}],"version-history":[{"count":3,"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/pages\/238\/revisions"}],"predecessor-version":[{"id":247,"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/pages\/238\/revisions\/247"}],"up":[{"embeddable":true,"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/pages\/179"}],"wp:attachment":[{"href":"https:\/\/generic.wordpress.soton.ac.uk\/rs4eo\/wp-json\/wp\/v2\/media?parent=238"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}