{"id":17673,"date":"2021-12-21T12:50:55","date_gmt":"2021-12-21T07:20:55","guid":{"rendered":"https:\/\/iihs.co.in\/knowledge-gateway\/?p=17673"},"modified":"2023-11-10T13:23:49","modified_gmt":"2023-11-10T07:53:49","slug":"a-cnn-based-method-for-sub-pixel-urban-land-cover-classification-using-landsat-5-tm-and-resourcesat-1-liss-iv-imagery","status":"publish","type":"post","link":"https:\/\/iihs.co.in\/knowledge-gateway\/a-cnn-based-method-for-sub-pixel-urban-land-cover-classification-using-landsat-5-tm-and-resourcesat-1-liss-iv-imagery\/","title":{"rendered":"A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery"},"content":{"rendered":"<div id='full_slider_1'  class='avia-fullwidth-slider main_color avia-shadow   avia-builder-el-0  el_before_av_layout_row  avia-builder-el-first   container_wrap sidebar_right'  ><div  class='avia-slideshow av-579juo9-6d4b3aa7ba6a8f7af9884a7c40e6a504 avia-slideshow-featured 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class='flex_cell_inner'><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kxfs1m0r-9fac908a46099cd7ff8ce80ef1cb430d\">\n#top .av-special-heading.av-kxfs1m0r-9fac908a46099cd7ff8ce80ef1cb430d{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-kxfs1m0r-9fac908a46099cd7ff8ce80ef1cb430d .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-kxfs1m0r-9fac908a46099cd7ff8ce80ef1cb430d .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-kxfs1m0r-9fac908a46099cd7ff8ce80ef1cb430d av-special-heading-h3  avia-builder-el-5  el_before_av_textblock  avia-builder-el-first '><h3 class='av-special-heading-tag'  itemprop=\"headline\"  >A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n<section  class='av_textblock_section av-kxfs3v6m-cb706a1a5e04223e3083401503138fb8 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p><span style=\"font-size: 13px; text-transform: none; color: #8a0000;\"><em>Krishna Kumar Perikamana, <a href=\"https:\/\/iihs.co.in\/iihs-people\/team\/krishnachandran-balakrishnan\/\" target=\"_blank\" rel=\"noopener\">Krishnachandran Balakrishnan<\/a>, Pratyush Tripathy <\/em>| 2021<\/span><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kxfs4rx3-c90c633da5ac1527b2204ef15cc67705 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p class=\"p2\">Abstract<\/p>\n<p class=\"p3\">Time series data of urban land cover is of great utility in analyzing urban growth patterns, changes in distribution of impervious surface and vegetation and resulting impacts on urban micro climate. While Landsat data is ideal for such analysis due to the long time series of free imagery, traditional per-pixel hard classification fails to yield full potential of the Landsat data. This paper proposes a sub-pixel classification method that leverages the temporal overlap of Landsat-5 TM and Resourcesat-1 LISS-IV sensors. We train a convolutional neural network to predict fractional land cover maps from 30m Landsat-5 TM data. The reference land cover fractions are estimated from a hard-classified 5.8m LISS-IV image for Bengaluru from 2011. Further, we demonstrate the generalizability and superior performance of the proposed model using data for Mumbai from 2009 and comparing it to the results obtained using a Random Forest classifier. For both Bengaluru (2011) and Mumbai (2009) data, Mean Absolute Percentage Error of our CNN model is in the range of 7.2 to 11.3 for both built-up and vegetation fraction prediction at the 30m cell level. Unlike most recent studies where validation is conducted using data for a limited spatial extent, our model has been trained and validated using data for the complete spatial extent of two mega cities for two different time periods. Hence it can reliably generate 30m built-up and vegetation fraction maps from Landsat-5 TM time series data to analyze long term urban growth patterns.<\/p>\n<\/div><\/section><br \/>\n<div  class='avia-button-wrap av-kxfs5bvf-6d61a1b2effa74f7d96831bde2d7a659-wrap avia-button-left  avia-builder-el-8  el_after_av_textblock  el_before_av_hr '><a href='https:\/\/arxiv.org\/abs\/2112.08841' class='avia-button av-kxfs5bvf-6d61a1b2effa74f7d96831bde2d7a659 avia-icon_select-yes-left-icon avia-size-medium avia-position-left avia-color-theme-color' target=\"_blank\" rel=\"noopener noreferrer\"><span class='avia_button_icon avia_button_icon_left' aria-hidden='true' data-av_icon='\ue82d' data-av_iconfont='entypo-fontello'><\/span><span class='avia_iconbox_title' >Access Paper<\/span><\/a><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-uwrxl-1215b57db2e2c212a78653320e2e7592\">\n#top 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class=\"tag-cloud-link tag-link-107 tag-link-position-8\" style=\"font-size: 14.434782608696pt;\" aria-label=\"Culture (10 items)\">Culture<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/data-and-metrics\/\" class=\"tag-cloud-link tag-link-103 tag-link-position-9\" style=\"font-size: 18.347826086957pt;\" aria-label=\"Data and Metrics (30 items)\">Data and Metrics<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/design\/\" class=\"tag-cloud-link tag-link-145 tag-link-position-10\" style=\"font-size: 11.478260869565pt;\" aria-label=\"Design (4 items)\">Design<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/economic-development\/\" class=\"tag-cloud-link tag-link-99 tag-link-position-11\" style=\"font-size: 18.95652173913pt;\" aria-label=\"Economic Development (35 items)\">Economic Development<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/ecosystem\/\" class=\"tag-cloud-link tag-link-152 tag-link-position-12\" style=\"font-size: 15.826086956522pt;\" aria-label=\"Ecosystem (15 items)\">Ecosystem<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/energy\/\" class=\"tag-cloud-link tag-link-160 tag-link-position-13\" style=\"font-size: 11.478260869565pt;\" aria-label=\"Energy (4 items)\">Energy<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/environment-and-climate\/\" class=\"tag-cloud-link tag-link-104 tag-link-position-14\" style=\"font-size: 22pt;\" aria-label=\"Environment and Climate (80 items)\">Environment and Climate<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/equity\/\" class=\"tag-cloud-link tag-link-94 tag-link-position-15\" style=\"font-size: 9.5652173913043pt;\" aria-label=\"Equity (2 items)\">Equity<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/gender\/\" class=\"tag-cloud-link tag-link-110 tag-link-position-16\" style=\"font-size: 11.478260869565pt;\" aria-label=\"Gender (4 items)\">Gender<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/ghs-pop\/\" class=\"tag-cloud-link tag-link-183 tag-link-position-17\" style=\"font-size: 8pt;\" aria-label=\"GHS-POP (1 item)\">GHS-POP<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/governance\/\" class=\"tag-cloud-link tag-link-102 tag-link-position-18\" style=\"font-size: 18pt;\" aria-label=\"Governance (27 items)\">Governance<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/gynecology-and-obstetrics\/\" class=\"tag-cloud-link tag-link-188 tag-link-position-19\" style=\"font-size: 8pt;\" aria-label=\"Gynecology And Obstetrics (1 item)\">Gynecology And Obstetrics<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/health\/\" class=\"tag-cloud-link tag-link-151 tag-link-position-20\" style=\"font-size: 9.5652173913043pt;\" aria-label=\"Health (2 items)\">Health<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/higher-education\/\" class=\"tag-cloud-link tag-link-195 tag-link-position-21\" style=\"font-size: 8pt;\" aria-label=\"higher education (1 item)\">higher education<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/housing\/\" class=\"tag-cloud-link tag-link-13 tag-link-position-22\" style=\"font-size: 18pt;\" aria-label=\"Housing (27 items)\">Housing<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/human-development\/\" class=\"tag-cloud-link tag-link-100 tag-link-position-23\" style=\"font-size: 15.652173913043pt;\" aria-label=\"Human Development (14 items)\">Human Development<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/india\/\" class=\"tag-cloud-link tag-link-182 tag-link-position-24\" style=\"font-size: 8pt;\" aria-label=\"India (1 item)\">India<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/industrial-policy\/\" class=\"tag-cloud-link tag-link-80 tag-link-position-25\" style=\"font-size: 9.5652173913043pt;\" aria-label=\"Industrial Policy (2 items)\">Industrial Policy<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/institutional-structures\/\" class=\"tag-cloud-link tag-link-197 tag-link-position-26\" style=\"font-size: 8pt;\" aria-label=\"institutional structures (1 item)\">institutional structures<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/instructional-design\/\" class=\"tag-cloud-link tag-link-150 tag-link-position-27\" style=\"font-size: 9.5652173913043pt;\" aria-label=\"Instructional Design (2 items)\">Instructional Design<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/ipcc\/\" class=\"tag-cloud-link tag-link-126 tag-link-position-28\" style=\"font-size: 9.5652173913043pt;\" aria-label=\"IPCC (2 items)\">IPCC<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/knowledge\/\" class=\"tag-cloud-link tag-link-143 tag-link-position-29\" style=\"font-size: 10.608695652174pt;\" aria-label=\"Knowledge (3 items)\">Knowledge<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/land\/\" class=\"tag-cloud-link tag-link-108 tag-link-position-30\" style=\"font-size: 19.565217391304pt;\" aria-label=\"Land (42 items)\">Land<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/non-economic-loss\/\" class=\"tag-cloud-link tag-link-194 tag-link-position-31\" style=\"font-size: 8pt;\" aria-label=\"Non-Economic Loss &quot; (1 item)\">Non-Economic Loss &quot;<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/pedagogy\/\" class=\"tag-cloud-link tag-link-196 tag-link-position-32\" style=\"font-size: 8pt;\" aria-label=\"pedagogy (1 item)\">pedagogy<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/planning\/\" class=\"tag-cloud-link tag-link-106 tag-link-position-33\" style=\"font-size: 17.565217391304pt;\" aria-label=\"Planning (24 items)\">Planning<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/policies\/\" class=\"tag-cloud-link tag-link-146 tag-link-position-34\" style=\"font-size: 10.608695652174pt;\" aria-label=\"Policies (3 items)\">Policies<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/population-mapping\/\" class=\"tag-cloud-link tag-link-184 tag-link-position-35\" style=\"font-size: 8pt;\" aria-label=\"population mapping (1 item)\">population mapping<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/poverty-and-inequality\/\" class=\"tag-cloud-link tag-link-101 tag-link-position-36\" style=\"font-size: 17.391304347826pt;\" aria-label=\"Poverty and Inequality (23 items)\">Poverty and Inequality<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/research-communication\/\" class=\"tag-cloud-link tag-link-199 tag-link-position-37\" style=\"font-size: 8pt;\" aria-label=\"Bet365 लाइव क्रिकेट स्ट्रीमिंग Communication (1 item)\">Bet365 लाइव क्रिकेट स्ट्रीमिंग Communication<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/risk\/\" class=\"tag-cloud-link tag-link-97 tag-link-position-38\" style=\"font-size: 16.521739130435pt;\" aria-label=\"Risk (18 items)\">Risk<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/scholarly-publishing\/\" class=\"tag-cloud-link tag-link-130 tag-link-position-39\" style=\"font-size: 9.5652173913043pt;\" aria-label=\"Scholarly Publishing (2 items)\">Scholarly Publishing<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/science-gaps\/\" class=\"tag-cloud-link tag-link-193 tag-link-position-40\" style=\"font-size: 8pt;\" aria-label=\"Science Gaps (1 item)\">Science Gaps<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/sustainability\/\" class=\"tag-cloud-link tag-link-93 tag-link-position-41\" style=\"font-size: 12.782608695652pt;\" aria-label=\"Sustainability (6 items)\">Sustainability<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/transport\/\" class=\"tag-cloud-link tag-link-95 tag-link-position-42\" style=\"font-size: 12.173913043478pt;\" aria-label=\"Transport (5 items)\">Transport<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/urban-equality\/\" class=\"tag-cloud-link tag-link-198 tag-link-position-43\" style=\"font-size: 8pt;\" aria-label=\"urban equality (1 item)\">urban equality<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/urbanisation\/\" class=\"tag-cloud-link tag-link-88 tag-link-position-44\" style=\"font-size: 12.782608695652pt;\" aria-label=\"Urbanisation (6 items)\">Urbanisation<\/a>\n<a href=\"https:\/\/iihs.co.in\/knowledge-gateway\/tag\/water-and-sanitation\/\" class=\"tag-cloud-link tag-link-96 tag-link-position-45\" style=\"font-size: 17.826086956522pt;\" aria-label=\"Water and Sanitation (26 items)\">Water and Sanitation<\/a><\/div>\n<\/div><\/div><\/p>\n<\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p><em>Krishna Kumar Perikamana, Krishnachandran Balakrishnan, Pratyush Tripathy<\/em><\/p>\n<hr\/>\n","protected":false},"author":6,"featured_media":11834,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[71],"tags":[],"class_list":["post-17673","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-paper"],"_links":{"self":[{"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/posts\/17673","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/comments?post=17673"}],"version-history":[{"count":2,"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/posts\/17673\/revisions"}],"predecessor-version":[{"id":20261,"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/posts\/17673\/revisions\/20261"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/media\/11834"}],"wp:attachment":[{"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/media?parent=17673"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/categories?post=17673"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/iihs.co.in\/knowledge-gateway\/wp-json\/wp\/v2\/tags?post=17673"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}