{"id":5755,"date":"2018-08-25T07:08:00","date_gmt":"2018-08-25T12:08:00","guid":{"rendered":"https:\/\/www.agron.iastate.edu\/glsi\/?p=5755"},"modified":"2025-09-29T07:00:31","modified_gmt":"2025-09-29T12:00:31","slug":"geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil","status":"publish","type":"post","link":"https:\/\/www.agron.iastate.edu\/glsi\/manuscripts\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\/","title":{"rendered":"Geomorphometric Segmentation of Complex Slope Elements to Improve Soil Mapping in Southeast Brazil"},"content":{"rendered":"<div class=\"paragraph-widget paragraph-widget--text-html\"><div class=\"text-content\">\n<p><a href=\"https:\/\/www.sciencedirect.com\/topics\/earth-and-planetary-sciences\/hillslope\">Hillslope<\/a> elements have considerable potential in predicting <a href=\"https:\/\/www.sciencedirect.com\/topics\/agricultural-and-biological-sciences\/soil-properties\">soil properties<\/a> and types in the landscape, making them likely to be a useful basis for detailed <a href=\"https:\/\/www.sciencedirect.com\/topics\/earth-and-planetary-sciences\/soil-mapping\">soil mapping<\/a>. The goal of this research was to apply a previously developed digital hillslope position (DHP) model, calibrate it as needed to a Brazilian landscape, and test its utility as a basis for identification of detailed soil map units. The study area covers 2500\u202fha and is located on the border between the municipalities of Piracicaba and Santa B\u00e1rbara d&#8217;Oeste, S\u00e3o Paulo state, Brazil. A <a href=\"https:\/\/www.sciencedirect.com\/topics\/earth-and-planetary-sciences\/digital-elevation-model\">digital elevation model<\/a>, with spatial resolution of 5\u202fm, was used to obtain slope gradient, profile curvature and relative elevation with different analysis scales. Hierarchical rules for these digital terrain derivatives were used to segment the landscape into hillslope positions. The user-calibrated hillslope position model was verified against local experience by identifying the hillslope position in the field and comparing it with the model classification using the Kappa statistic and a confusion matrix. Soil samples were collected across multiple hillslopes with different <a href=\"https:\/\/www.sciencedirect.com\/topics\/earth-and-planetary-sciences\/petrography\">lithologies<\/a>. The samples were analyzed for chemical composition and soil particle size separates. The measured soil properties were assessed for statistical significance by variance analysis among hillslope position, parent material, and the interaction between the two. Student&#8217;s <em>t<\/em>-tests were performed iteratively across each hillslope position within a given parent material to identify specifically which soil properties were significantly different among the hillslope position map units. Variance analysis of soil samples located within the respective parent material map units identified significant differences for all soil properties measured, but only for some soil properties when categorized by DHP. Focusing on the parent material with a sufficient quantity of samples, there was always at least one hillslope position that was significantly different from the others for each soil property. Because each of these map units presented a significant difference in at least one soil property, they are useful for detailed soil mapping.<\/p>\n<\/div><\/div>\n\n<div class=\"paragraph-widget paragraph-widget--text-html\"><div class=\"text-content\">\n<p>Marques, K., J.A. Dematt\u00ea, B.A. Miller, and I. Lepsch. 2018. Geomorphometric segmentation of complex slope elements to improve soil mapping in southeast Brazil. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S2352009417302651\" target=\"_blank\" rel=\"noreferrer noopener\">Geoderma Regional 14: e00175. doi: 10.1016\/j.geodrs.2018.e00175<\/a>.<\/p>\n<\/div><\/div>\n\n<div class=\"paragraph-widget paragraph-widget--text-html\"><div class=\"text-content\">\n<p><\/p>\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Hillslope elements have considerable potential in predicting soil properties and types in the landscape, making them likely to be a useful basis for detailed soil mapping. The goal of this research was to apply a previously developed digital hillslope position (DHP) model, calibrate it as needed to a Brazilian landscape, and test its utility as [&hellip;]<\/p>\n","protected":false},"author":3216,"featured_media":11200,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"ngg_post_thumbnail":0,"footnotes":""},"categories":[5,7],"tags":[47,274,51,121],"class_list":["post-5755","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-manuscripts","category-miller","tag-geomorphology","tag-geomorphometry","tag-hillslope-position","tag-soil-maps"],"acf":[],"featured_image_urls_v2":{"full":["https:\/\/www.agron.iastate.edu\/glsi\/files\/2025\/04\/Geomorphic-segmentation-of-complex-slope-elements.png",636,571,false],"thumbnail":["https:\/\/www.agron.iastate.edu\/glsi\/files\/2025\/04\/Geomorphic-segmentation-of-complex-slope-elements-150x150.png",150,150,true],"medium":["https:\/\/www.agron.iastate.edu\/glsi\/files\/2025\/04\/Geomorphic-segmentation-of-complex-slope-elements-300x269.png",300,269,true],"medium_large":["https:\/\/www.agron.iastate.edu\/glsi\/files\/2025\/04\/Geomorphic-segmentation-of-complex-slope-elements.png",636,571,false],"large":["https:\/\/www.agron.iastate.edu\/glsi\/files\/2025\/04\/Geomorphic-segmentation-of-complex-slope-elements.png",636,571,false],"1536x1536":["https:\/\/www.agron.iastate.edu\/glsi\/files\/2025\/04\/Geomorphic-segmentation-of-complex-slope-elements.png",636,571,false],"2048x2048":["https:\/\/www.agron.iastate.edu\/glsi\/files\/2025\/04\/Geomorphic-segmentation-of-complex-slope-elements.png",636,571,false]},"post_excerpt_stackable_v2":"<p>Hillslope elements have considerable potential in predicting soil properties and types in the landscape, making them likely to be a useful basis for detailed soil mapping. The goal of this research was to apply a previously developed digital hillslope position (DHP) model, calibrate it as needed to a Brazilian landscape, and test its utility as a basis for identification of detailed soil map units. The study area covers 2500\u202fha and is located on the border between the municipalities of Piracicaba and Santa B\u00e1rbara d&#8217;Oeste, S\u00e3o Paulo state, Brazil. A digital elevation model, with spatial resolution of 5\u202fm, was used to&hellip;<\/p>\n","category_list_v2":"<a href=\"https:\/\/www.agron.iastate.edu\/glsi\/category\/manuscripts\/\" rel=\"category tag\">Manuscripts<\/a>, <a href=\"https:\/\/www.agron.iastate.edu\/glsi\/category\/miller\/\" rel=\"category tag\">Miller<\/a>","author_info_v2":{"name":"Bradley Miller","url":"https:\/\/www.agron.iastate.edu\/glsi\/author\/millerba\/"},"comments_num_v2":"0 comments","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Geomorphometric Segmentation of Complex Slope Elements to Improve Soil Mapping in Southeast Brazil - Geospatial Laboratory for Soil Informatics<\/title>\n<meta name=\"description\" content=\"Focusing on the parent material with a sufficient quantity of samples, there was always at least one hillslope position that was significantly different from the others for each soil property. Because each of these map units presented a significant difference in at least one soil property, they are useful for detailed soil mapping.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.agron.iastate.edu\/glsi\/manuscripts\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Geomorphometric Segmentation of Complex Slope Elements to Improve Soil Mapping in Southeast Brazil - Geospatial Laboratory for Soil Informatics\" \/>\n<meta property=\"og:description\" content=\"Focusing on the parent material with a sufficient quantity of samples, there was always at least one hillslope position that was significantly different from the others for each soil property. Because each of these map units presented a significant difference in at least one soil property, they are useful for detailed soil mapping.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.agron.iastate.edu\/glsi\/manuscripts\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\/\" \/>\n<meta property=\"og:site_name\" content=\"Geospatial Laboratory for Soil Informatics\" \/>\n<meta property=\"article:published_time\" content=\"2018-08-25T12:08:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-29T12:00:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.agron.iastate.edu\/glsi\/files\/2025\/04\/Geomorphic-segmentation-of-complex-slope-elements.png\" \/>\n\t<meta property=\"og:image:width\" content=\"636\" \/>\n\t<meta property=\"og:image:height\" content=\"571\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Bradley Miller\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Bradley Miller\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/\"},\"author\":{\"name\":\"Bradley Miller\",\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/#\\\/schema\\\/person\\\/a96fa0c818314fce5f3928c232490277\"},\"headline\":\"Geomorphometric Segmentation of Complex Slope Elements to Improve Soil Mapping in Southeast Brazil\",\"datePublished\":\"2018-08-25T12:08:00+00:00\",\"dateModified\":\"2025-09-29T12:00:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/\"},\"wordCount\":365,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/files\\\/2025\\\/04\\\/Geomorphic-segmentation-of-complex-slope-elements.png\",\"keywords\":[\"geomorphology\",\"geomorphometry\",\"hillslope position\",\"soil maps\"],\"articleSection\":[\"Manuscripts\",\"Miller\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/\",\"url\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/\",\"name\":\"Geomorphometric Segmentation of Complex Slope Elements to Improve Soil Mapping in Southeast Brazil - Geospatial Laboratory for Soil Informatics\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/manuscripts\\\/geomorphometric-segmentation-of-complex-slope-elements-to-improve-soil-mapping-in-southeast-brazil\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.agron.iastate.edu\\\/glsi\\\/files\\\/2025\\\/04\\\/Geomorphic-segmentation-of-complex-slope-elements.png\",\"datePublished\":\"2018-08-25T12:08:00+00:00\",\"dateModified\":\"2025-09-29T12:00:31+00:00\",\"description\":\"Focusing on the parent material with a sufficient quantity of samples, there was always at least one hillslope position that was significantly different from the others for each soil property. 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