{"id":3830,"date":"2022-10-27T10:56:14","date_gmt":"2022-10-26T21:56:14","guid":{"rendered":"http:\/\/blogs.lincoln.ac.nz\/gis\/?p=3830"},"modified":"2023-05-07T01:55:46","modified_gmt":"2023-05-07T01:55:46","slug":"orderly-streams","status":"publish","type":"post","link":"https:\/\/blogs.lincoln.ac.nz\/gis\/orderly-streams\/","title":{"rendered":"Orderly Streams"},"content":{"rendered":"<p><em>Stream order is a way to categorise river reaches by size.\u00a0 In this post we see how\u00a0to\u00a0add stream orders to a derived stream network.<\/em><\/p>\n<p>As the temperatures warm up, the tramping season has already gotten underway in our house so keen daughter Islay recently dragged me up the short but steep track to <a href=\"https:\/\/www.doc.govt.nz\/parks-and-recreation\/places-to-go\/canterbury\/places\/arthurs-pass-national-park\/things-to-do\/huts\/carroll-hut\/\" target=\"_blank\" rel=\"noopener noreferrer\">Carroll Hut<\/a> in Arthur&#8217;s Pass National Park, just north of Otira of State Highway 73:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3934\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly1.jpg\" alt=\"\" width=\"1010\" height=\"743\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly1.jpg 1010w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly1-300x221.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly1-768x565.jpg 768w\" sizes=\"auto, (max-width: 1010px) 100vw, 1010px\" \/><\/a><\/p>\n<p>While we weren&#8217;t on the main divide here, we were above treeline and in the area where you could expect to find small headwater streams and the occasional scenic tarn:<\/p>\n<figure id=\"attachment_3936\" aria-describedby=\"caption-attachment-3936\" style=\"width: 1066px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/carroll-hut-1920.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-3936\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/carroll-hut-1920.jpg\" alt=\"\" width=\"1066\" height=\"600\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/carroll-hut-1920.jpg 1066w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/carroll-hut-1920-300x169.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/carroll-hut-1920-1024x576.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/carroll-hut-1920-768x432.jpg 768w\" sizes=\"auto, (max-width: 1066px) 100vw, 1066px\" \/><\/a><figcaption id=\"caption-attachment-3936\" class=\"wp-caption-text\"><span style=\"font-size: 8pt\"><em>https:\/\/www.doc.govt.nz\/parks-and-recreation\/places-to-go\/canterbury\/places\/arthurs-pass-national-park\/things-to-do\/huts\/carroll-hut\/<\/em><\/span><\/figcaption><\/figure>\n<p>One of the things I really enjoy about tramping is that it gives you some time to finally think about a few things, unfettered by the daily stress of the to-do list.\u00a0 This time, my thoughts turned (amongst other things) to streams, and in particular, <a href=\"https:\/\/www.thoughtco.com\/what-is-stream-order-1435354#:~:text=The%20world's%20largest%20river%2C%20the,steep%20and%20flow%20more%20slowly.\" target=\"_blank\" rel=\"noopener noreferrer\">stream order<\/a>.<\/p>\n<p>Stream order is a way to categorise streams within a hierarchy of relative size. If you picture the streams in a catchment as all being connected together and building up a linear network, you&#8217;re partially on your way.\u00a0 Starting near the catchment boundary, we first encounter order 1 streams, being those headwater streams that seem to start from nowhere.\u00a0 As we move down the catchment, more streams combine\u00a0to become larger rivers, and the order increases.<\/p>\n<p>As we move down the catchment, these <a href=\"https:\/\/www.youtube.com\/watch?v=MPhHl2DpD4E\" target=\"_blank\" rel=\"noopener noreferrer\">1<sup>st<\/sup> order<\/a> streams join up to make 2<sup>nd<\/sup> order streams, which then join up to make 3<sup>rd<\/sup> order and up we go.\u00a0 There are a few simple rules that help determine stream order:<\/p>\n<ul>\n<li>First order streams\u00a0are the headwaters of streams, typically high in the catchment and small in size;<\/li>\n<li>When two first order streams join at a confluence, they combine to make a second order stream;<\/li>\n<li>If a first order stream flows into a second order stream, it remains second order.\u00a0 The order only increases when two reaches of the same order join.<\/li>\n<\/ul>\n<p>This diagram might help to explain this:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/350px-Flussordnung_Strahler.svg_.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3937\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/350px-Flussordnung_Strahler.svg_.png\" alt=\"\" width=\"350\" height=\"224\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/350px-Flussordnung_Strahler.svg_.png 350w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/350px-Flussordnung_Strahler.svg_-300x192.png 300w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/a><\/p>\n<p>We have to start at the catchment boundary and move down for this to work properly.\u00a0 Up at Carroll Hut we were definitely in stream order 1 territory &#8211; the places where rivers begin:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/streamstart.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3938\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/streamstart.jpg\" alt=\"\" width=\"730\" height=\"886\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/streamstart.jpg 730w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/streamstart-247x300.jpg 247w\" sizes=\"auto, (max-width: 730px) 100vw, 730px\" \/><\/a><\/p>\n<p>This (sadly unnamed but not unloved) stream flows down past the hut:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/downstream.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3939\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/downstream.jpg\" alt=\"\" width=\"1277\" height=\"894\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/downstream.jpg 1277w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/downstream-300x210.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/downstream-1024x717.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/downstream-768x538.jpg 768w\" sizes=\"auto, (max-width: 1277px) 100vw, 1277px\" \/><\/a><\/p>\n<p>and then basically goes over a cliff:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/waterfall.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3940\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/waterfall.jpg\" alt=\"\" width=\"731\" height=\"736\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/waterfall.jpg 731w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/waterfall-298x300.jpg 298w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/waterfall-150x150.jpg 150w\" sizes=\"auto, (max-width: 731px) 100vw, 731px\" \/><\/a><\/p>\n<p>before precipitously dropping 500 m over the course of about 1.5 horizontal kms to eventually meet Kelly Creek (3<sup>rd<\/sup> order),<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/KellyUp.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3941\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/KellyUp.jpg\" alt=\"\" width=\"675\" height=\"839\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/KellyUp.jpg 675w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/KellyUp-241x300.jpg 241w\" sizes=\"auto, (max-width: 675px) 100vw, 675px\" \/><\/a><\/p>\n<p>which then flows on to meet the Otira down at State Highway 73,<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/KellyDown.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3942\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/KellyDown.jpg\" alt=\"\" width=\"691\" height=\"748\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/KellyDown.jpg 691w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/KellyDown-277x300.jpg 277w\" sizes=\"auto, (max-width: 691px) 100vw, 691px\" \/><\/a><\/p>\n<p>which then flows to the Taramakau and hence to the coast near Kumara Junction, all the while increasing the stream order.\u00a0 By the time the Taramakau reaches the coast, its order has increased to 6.<\/p>\n<p>Looking at the River Environment Classification layer (version 1), we can see how the streams in this area have been mapped (and we now know <a href=\"http:\/\/blogs.lincoln.ac.nz\/gis\/burning-the-streams\/\">how these were created<\/a>):<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3943\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly2.jpg\" alt=\"\" width=\"1029\" height=\"704\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly2.jpg 1029w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly2-300x205.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly2-1024x701.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Kelly2-768x525.jpg 768w\" sizes=\"auto, (max-width: 1029px) 100vw, 1029px\" \/><\/a><\/p>\n<p>(Darker, thicker lines are from REC, lighter, thinner ones are on the topo map.)\u00a0 From this image you can see that some of the streams on the topomap are underestimated a bit by the REC while others are overestimated.<\/p>\n<p>One of the nice things about the River Environment Classification layers is that all reaches have a stream order attribute &#8211; it&#8217;s the ORDER_ attribute in REC version 1:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/REC1SO.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3944\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/REC1SO.jpg\" alt=\"\" width=\"948\" height=\"414\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/REC1SO.jpg 948w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/REC1SO-300x131.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/REC1SO-768x335.jpg 768w\" sizes=\"auto, (max-width: 948px) 100vw, 948px\" \/><\/a><\/p>\n<p>I can use this to my advantage and map the rivers using <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/mapping\/layer-properties\/graduated-symbols.htm\" target=\"_blank\" rel=\"noopener noreferrer\">Graduated Symbols<\/a> with this attribute to make their different sizes a bit more apparent (plus a bit of transparency to the topo basemap to help emphasise the streams):<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOSymbol2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3945\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOSymbol2.jpg\" alt=\"\" width=\"1184\" height=\"733\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOSymbol2.jpg 1184w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOSymbol2-300x186.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOSymbol2-1024x634.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOSymbol2-768x475.jpg 768w\" sizes=\"auto, (max-width: 1184px) 100vw, 1184px\" \/><\/a><\/p>\n<p>We can go a step further and label the reaches with their order:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/labels.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3946\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/labels.jpg\" alt=\"\" width=\"1023\" height=\"710\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/labels.jpg 1023w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/labels-300x208.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/labels-768x533.jpg 768w\" sizes=\"auto, (max-width: 1023px) 100vw, 1023px\" \/><\/a><\/p>\n<p>Here we can see stream orders ranging from 1 up to 4 on the Otira River.\u00a0 It may be a good time to raise the question of how these orders got added to the data.\u00a0 After all, there are close to 60,000 reaches in this layer.\u00a0 Hopefully no poor soul had to do this manually&#8230;\u00a0 To make life in some small way easier, there is a tool for doing this: the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/spatial-analyst\/stream-order.htm\" target=\"_blank\" rel=\"noopener noreferrer\">Stream Order<\/a> tool.\u00a0 Let&#8217;s go back to our Kaituna River example and see how we can use this.\u00a0 To keep things simple, I&#8217;ve clipped out the stream reaches inside my derived catchment &#8211; note the simplicity of the attribute table.\u00a0 There&#8217;s not much to it and certainly nothing about stream order:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3947\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K1.jpg\" alt=\"\" width=\"1035\" height=\"784\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K1.jpg 1035w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K1-300x227.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K1-1024x776.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K1-768x582.jpg 768w\" sizes=\"auto, (max-width: 1035px) 100vw, 1035px\" \/><\/a><\/p>\n<p>(Each record has a value of 1 for the grid_code attribute.)\u00a0 The stream order tool is pretty straightforward.\u00a0 I need my input stream and flow direction rasters and have to choose a specific method:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOTool-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3948\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOTool-1.jpg\" alt=\"\" width=\"260\" height=\"330\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOTool-1.jpg 260w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/SOTool-1-236x300.jpg 236w\" sizes=\"auto, (max-width: 260px) 100vw, 260px\" \/><\/a><\/p>\n<p>Between Shreve and Strahler, the latter is the more common method and we&#8217;ll go with that one (<a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/spatial-analyst\/how-stream-order-works.htm\" target=\"_blank\" rel=\"noopener noreferrer\">this<\/a> has some detail on the differences). (See <a href=\"http:\/\/blogs.lincoln.ac.nz\/gis\/burning-the-streams\/\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a> for where these file names came from.)<\/p>\n<p>Here&#8217;s the output after running Stream Order and converting the raster output to a vector polyline.\u00a0 The grid_code attribute now holds the stream order value, used with Graduated Symbols and labels turned on:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3949\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K2.jpg\" alt=\"\" width=\"1042\" height=\"810\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K2.jpg 1042w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K2-300x233.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K2-1024x796.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/K2-768x597.jpg 768w\" sizes=\"auto, (max-width: 1042px) 100vw, 1042px\" \/><\/a><\/p>\n<p>So there you have it &#8211; stream order is now baked in.<\/p>\n<p>Over the past two posts we&#8217;ve seen how to derive stream networks and catchments and also assign stream order values, giving us the power to create our own stream networks if we need to.\u00a0 (To be fair, NIWA&#8217;s already done that for us with the REC layers, but it&#8217;s nice to know where that all came from.\u00a0 <em>Ed. Is it?<\/em>)<\/p>\n<p>Stream order is a pretty fundamental way of categorising river reaches, one of several.\u00a0 To put this all in perspective, the highest order rivers we have in\u00a0Aotearoa are up to order 8 and include the Clutha, Waitaki, Rangitaiki, Whakatane and Wairoa Rivers.\u00a0 The Amazon River, at 12th order, is the largest in the world.<\/p>\n<p>We&#8217;ll end this post on an arty note.\u00a0 The highway back to Otautahi takes us past Cass, site of a rightly famous Rita Angus <a href=\"https:\/\/christchurchartgallery.org.nz\/collection\/69-74\/rita-angus\/cass\" target=\"_blank\" rel=\"noopener noreferrer\">painting of the highest order<\/a>.\u00a0 I&#8217;ve always wanted to stop in an have a look so this time we finally did:<\/p>\n<p><a href=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Cass.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3950\" src=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Cass.jpg\" alt=\"\" width=\"1178\" height=\"842\" srcset=\"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Cass.jpg 1178w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Cass-300x214.jpg 300w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Cass-1024x732.jpg 1024w, https:\/\/blogs.lincoln.ac.nz\/gis\/wp-content\/uploads\/sites\/3\/2022\/10\/Cass-768x549.jpg 768w\" sizes=\"auto, (max-width: 1178px) 100vw, 1178px\" \/><\/a><\/p>\n<p>Nice&#8230;!<\/p>\n<p>C<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Stream order is a way to categorise river reaches by size.\u00a0 In this post we see how\u00a0to\u00a0add stream orders to a derived stream network. As the temperatures warm up, the tramping season has already gotten underway in our house so keen daughter Islay recently dragged me up the short but steep track to Carroll Hut [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3830","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/posts\/3830","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/comments?post=3830"}],"version-history":[{"count":2,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/posts\/3830\/revisions"}],"predecessor-version":[{"id":4024,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/posts\/3830\/revisions\/4024"}],"wp:attachment":[{"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/media?parent=3830"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/categories?post=3830"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.lincoln.ac.nz\/gis\/wp-json\/wp\/v2\/tags?post=3830"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}