{"id":111,"date":"2018-04-08T17:52:10","date_gmt":"2018-04-08T17:52:10","guid":{"rendered":"http:\/\/georgiageo.com\/?page_id=111"},"modified":"2020-03-04T04:41:32","modified_gmt":"2020-03-04T04:41:32","slug":"multispectral-imagery","status":"publish","type":"page","link":"https:\/\/georgiageo.com\/index.php\/multispectral-imagery\/","title":{"rendered":"Precision Ag Multispectral Imagery"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"111\" class=\"elementor elementor-111\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6d29796 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6d29796\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-56e1be6\" data-id=\"56e1be6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4cd854e elementor-widget elementor-widget-heading\" data-id=\"4cd854e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><h2>Multispectral Imagery.&nbsp; &nbsp; Accurate. Immediate. Anywhere.<\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5ceb191 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5ceb191\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-63e142d\" data-id=\"63e142d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-95fbff5 elementor-widget elementor-widget-heading\" data-id=\"95fbff5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">A Case for Multispectral Imagery<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1e2ca00 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1e2ca00\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-950053b\" data-id=\"950053b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-bef2d26 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bef2d26\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0f633be\" data-id=\"0f633be\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f9b22f5 elementor-widget elementor-widget-text-editor\" data-id=\"f9b22f5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Data Collected on 10 June, 2018<\/strong><\/p><ul><li>Peanut Stand Survey #1 -180 acres<\/li><li>Canopy appeared unaffected<\/li><li>Wet conditions in early 2018<\/li><li>Hot &amp; Dry thru May\/June<\/li><li>38 minutes Time-of-Flight (TOF)<\/li><li>Processed imagery on the spot (15 mins)<\/li><li>Widespread Stress revealed in the imagery<\/li><li>White mold had established underground<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-5c8df62\" data-id=\"5c8df62\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-081bb35 elementor-widget elementor-widget-image\" data-id=\"081bb35\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"296\" height=\"429\" src=\"https:\/\/georgiageo.com\/wp-content\/uploads\/2019\/03\/Picture1.png\" class=\"attachment-large size-large wp-image-1693\" alt=\"\" srcset=\"https:\/\/georgiageo.com\/wp-content\/uploads\/2019\/03\/Picture1.png 296w, https:\/\/georgiageo.com\/wp-content\/uploads\/2019\/03\/Picture1-207x300.png 207w\" sizes=\"(max-width: 296px) 100vw, 296px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-50de174 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"50de174\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5c469a0\" data-id=\"5c469a0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-cd37fd8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cd37fd8\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b0df4bf\" data-id=\"b0df4bf\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-52074b5 elementor-widget elementor-widget-image\" data-id=\"52074b5\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"391\" height=\"498\" src=\"https:\/\/georgiageo.com\/wp-content\/uploads\/2019\/03\/Picture2.png\" class=\"attachment-large size-large wp-image-1694\" alt=\"\" srcset=\"https:\/\/georgiageo.com\/wp-content\/uploads\/2019\/03\/Picture2.png 391w, https:\/\/georgiageo.com\/wp-content\/uploads\/2019\/03\/Picture2-236x300.png 236w\" sizes=\"(max-width: 391px) 100vw, 391px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-49b4a6f\" data-id=\"49b4a6f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7d96c8c elementor-widget elementor-widget-text-editor\" data-id=\"7d96c8c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Data re-collected on 21 June, 2018<\/strong><\/p><ul><li>Peanut Stand Survey #2 -180 acres<\/li><li>Canopy appeared unaffected<\/li><li>38 minutes TOF<\/li><li>Processed imagery on the spot (15 mins)<\/li><li>Peanut stand condition after application of Elatus<\/li><li>Early intervention prevented a significant loss<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4416e76c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4416e76c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2e7889c1\" data-id=\"2e7889c1\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49fd45e7 elementor-widget elementor-widget-text-editor\" data-id=\"49fd45e7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h6>Imagine seeing crop conditions before you even leave the house.<\/h6><p><style>\n<!--<br \/> \/* Font Definitions *\/<br \/>@font-face<br \/>\t{font-family:\"\uff2d\uff33 \u660e\u671d\";<br \/>\tmso-font-charset:78;<br \/>\tmso-generic-font-family:auto;<br \/>\tmso-font-pitch:variable;<br \/>\tmso-font-signature:1 134676480 16 0 131072 0;}<br \/>@font-face<br \/>\t{font-family:\"\uff2d\uff33 \u660e\u671d\";<br \/>\tmso-font-charset:78;<br \/>\tmso-generic-font-family:auto;<br \/>\tmso-font-pitch:variable;<br \/>\tmso-font-signature:1 134676480 16 0 131072 0;}<br \/>@font-face<br \/>\t{font-family:Cambria;<br \/>\tpanose-1:2 4 5 3 5 4 6 3 2 4;<br \/>\tmso-font-charset:0;<br \/>\tmso-generic-font-family:auto;<br \/>\tmso-font-pitch:variable;<br \/>\tmso-font-signature:-536870145 1073743103 0 0 415 0;}<br \/> \/* Style Definitions *\/<br \/>p.MsoNormal, li.MsoNormal, div.MsoNormal<br \/>\t{mso-style-unhide:no;<br \/>\tmso-style-qformat:yes;<br \/>\tmso-style-parent:\"\";<br \/>\tmargin:0in;<br \/>\tmargin-bottom:.0001pt;<br \/>\tmso-pagination:widow-orphan;<br \/>\tfont-size:12.0pt;<br \/>\tfont-family:Cambria;<br \/>\tmso-ascii-font-family:Cambria;<br \/>\tmso-ascii-theme-font:minor-latin;<br \/>\tmso-fareast-font-family:\"\uff2d\uff33 \u660e\u671d\";<br \/>\tmso-fareast-theme-font:minor-fareast;<br \/>\tmso-hansi-font-family:Cambria;<br \/>\tmso-hansi-theme-font:minor-latin;<br \/>\tmso-bidi-font-family:\"Times New Roman\";<br \/>\tmso-bidi-theme-font:minor-bidi;}<br \/>.MsoChpDefault<br \/>\t{mso-style-type:export-only;<br \/>\tmso-default-props:yes;<br \/>\tfont-family:Cambria;<br \/>\tmso-ascii-font-family:Cambria;<br \/>\tmso-ascii-theme-font:minor-latin;<br \/>\tmso-fareast-font-family:\"\uff2d\uff33 \u660e\u671d\";<br \/>\tmso-fareast-theme-font:minor-fareast;<br \/>\tmso-hansi-font-family:Cambria;<br \/>\tmso-hansi-theme-font:minor-latin;<br \/>\tmso-bidi-font-family:\"Times New Roman\";<br \/>\tmso-bidi-theme-font:minor-bidi;}size:8.5in 11.0in;<br \/>\tmargin:1.0in 1.25in 1.0in 1.25in;<br \/>\tmso-header-margin:.5in;<br \/>\tmso-footer-margin:.5in;<br \/>\tmso-paper-source:0;}<br \/>div.WordSection1<br \/>\t{page:WordSecti<\/style><\/p><p>Georgia farmers and agronomists who use satellite crop health data in their Precision Ag programs now have a source for data delivered directly to their IOS and Android mobile device which is 480X more detailed than satellite imagery.\u00a0 Multispectral Imagery reveals crop performance by detecting chlorophyll content and the effects of pests, pathogens, irrigation issues, weeds, and other information needed to evaluate the health of a crop.<\/p><p><span style=\"color: #000000;\">\u00a0What kind of information can Georgia <\/span><span style=\"color: #000000;\"><span style=\"color: #000000;\"><span style=\"color: #ff0000;\">GEO<\/span><\/span> drone imagery provide?<\/span><\/p><ul><li><b> Emergence Analysis<\/b><\/li><li><b> Population (stand counts)<\/b><\/li><li><b>Chlorophyll and Nutrient content<br \/><\/b><\/li><li><b> Plant Height measurements (w\/in \u00bd\u201d of each other throughout the field)<\/b><\/li><li><b> Weed pressure (row crops and field crops)<\/b><\/li><li><b> Stress from Pathogens\/Pests\/Irrigation issues<\/b><\/li><li><b> Yield Estimates<\/b><\/li><li><b> Severe Storm Damage Assessment for claims<\/b><\/li><li><b>Data needed to formulate Variable-Rate Prescriptions<br \/><\/b><\/li><\/ul><p><span style=\"color: #000000;\">Georgia <\/span><span style=\"color: #000000;\"><span style=\"color: #000000;\"><span style=\"color: #ff0000;\">GEO<\/span><\/span> has the tools and analysis to enable the grower to track what is happening in the fields or orchards.\u00a0 Farmers spend their lives ensuring they have the best crop in a bid to sustain an income for the family and products for the world. Through the years, they've ensured they use up-to-date technology to realize the best yield for their efforts.<\/span><\/p><p><span style=\"color: #000000;\">Georgia <span style=\"color: #ff0000;\">GEO<\/span>\u00a0can provide this Data and Analysis.\u00a0 Immediately. On the edge of the field.\u00a0 Providing the grower with instant, actionable data.<\/span><\/p><h6><span style=\"color: #000000;\">\"Old\" new methods<\/span><\/h6><p><span style=\"color: #000000;\">Earth-observing satellite imagery is available and has been used, but due to the satellite\u2019s distance from Earth, the resolution required to see <em>EXACTLY <\/em>what is going in <em>YOUR<\/em> field is limited. Its orbit may not put the satellite over the field at the optimum time and even if it does, the weather must be perfect. Multispectral packages in manned aircraft or helicopters can be used, but those systems can be cost-prohibitive and still not match Georgia <\/span><span style=\"color: #000000;\"><span style=\"color: #000000;\"><span style=\"color: #ff0000;\">GEO's <\/span><\/span>detail.<br \/><\/span><\/p><h6>Superior Technology available immediately and on-demand<\/h6><p><span style=\"color: #000000;\">SlantRange sensors can be put to use at the perfect times of day and be brought up close and <img decoding=\"async\" src=\"http:\/\/georgiageo.com\/wp-content\/uploads\/2018\/03\/3p-lighter-square-150x150.png\" alt=\"\" width=\"150\" height=\"150\" \/>personal via drones flying just a couple of hundred <strong>feet<\/strong> high, rather than a couple of hundred\u00a0<strong>miles<\/strong> high. The grower can see what is going on out in the fields, at significantly less cost, and have detailed Actionable Data available. Right now...today.<\/span><\/p><p><span style=\"color: #000000;\">Time is\u00a0 critical, and data can be more perishable than an untreated stand.<\/span><\/p><h6><span style=\"color: #000000;\">Rifle vs. Shotgun<\/span><\/h6><p><span style=\"color: #000000;\">Save time, money, and expensive agricultural chemicals treating only the areas identified by the multispectral imagery.\u00a0 Multispectral geotagged data can be integrated into Precision-Ag variable rate applications.<\/span><\/p><h3>\u00a0<\/h3><h5>How Multispectral Sensing works: an in-depth discussion<\/h5><p>Receptors in the human eye can sense three basic colors: <span style=\"color: #ff0000;\">Red<\/span>, <span style=\"color: #339966;\">Green<\/span>, and <span style=\"color: #0000ff;\">Blue<\/span>. Our brain combines these basic colors of the spectrum to allow us to see all other colors.<\/p><h2><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/georgiageo.com\/wp-content\/uploads\/2018\/03\/thin-film-interference-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" \/><\/h2><p>Healthy plants ABSORB the <span style=\"color: #ff0000;\">red<\/span> and <span style=\"color: #0000ff;\">blue<\/span> spectra of light for photosynthesis. Conversely, healthy plants REFLECT most light in the <span style=\"color: #008000;\">green<\/span> spectrum and light in the near-infra-red (NIR) spectrum. This is why most healthy plants appear <span style=\"color: #339966;\">green<\/span> (chlorophyll pigment is also green and that is a contributor) but still, our human eyes cannot see NIR.<\/p><p>If a plant is unhealthy for whatever reason: drought, pathogens, pests, even overwatering, the reflected light from the leaves begins to change, even if it cannot be seen by the grower. As the plant become more stressed, the spongy layer of the leaves, which, due to internal cellular structures, begins to reflect NIR light differently. Sick plants are unable to absorb as much red and blue light and so begin to appear different. In the same way that oil on water reflects different wavelengths of light (colors) due to minute thickness variations in the oil layer, so does NIR light react to healthy and unhealthy thicknesses of the spongy layer of leaves.<\/p><p>This is called a <a href=\"https:\/\/phenology.cr.usgs.gov\/ndvi_foundation.php\">Difference Vegetation Index<\/a>; we\u2019ll get back to that.<\/p><p>By the time the grower can detect these changes of color in the cultivar, damage is usually far progressed.<\/p><p>This is where Georgia <span style=\"color: #000000;\"><span style=\"color: #ff0000;\">GEO <\/span><\/span>and\u00a0<strong>SlantRange<\/strong>\u00a0come into the mix.<\/p><p>SlantRange detects\u00a0<span style=\"color: #ff0000;\">red<\/span>, <span style=\"color: #339966;\">green<\/span>, <span style=\"color: #0000ff;\">blue,<\/span> and <span style=\"color: #a008c2;\">NIR<\/span> (near infra-red, aka Red Edge) light. As the drone flies over the field (many times closer than a satellite), it takes individual pictures in those specific wavelengths (colors), even the NIR colors that human eyes cannot see.<\/p><p>Georgia <span style=\"color: #ff0000;\">GEO<span style=\"color: #000000;\">'s<\/span><\/span> powerful on-site computer, with SlantRange exclusive software, combines those individual pictures, performs imagery analysis and calculates the reflection attributes (mathematical values) of the foliage in the field canopy <strong>within minutes<\/strong>, showing the grower where these color proportions are out of the norm(s), indicating stressed vegetation.<\/p><p>No Wi-Fi or Internet connection is needed. No uploading data to the \u201ccloud.\u201d With other cloud-based systems, analysis could take hours, possibly days, (there is a LOT of data collected) requiring the data and images to be uploaded to a far-off computer system, processed, and returned to the grower.<\/p><p><em><strong>Actionable. Accurate. Data. In minutes.<\/strong><\/em><\/p><p>NDVI<\/p><p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/georgiageo.com\/wp-content\/uploads\/2018\/04\/thin-film-interference2-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" \/>(NDVI) Normalized Difference Vegetative Index is one of the most useful vegetation Indexes in Precision Agriculture. \u201cNormalized\u201d refers to the fact that differing amounts of sunlight, even something as ordinary as cloud shadows on a field during an aerial survey, can dramatically affect the results of the multispectral survey.<\/p><p>SlantRange\u2019s multispectral imagery is constantly calibrated during flight to ensure variations in sunlight are corrected. Very few other multispectral imagery systems offer this capabili<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Multispectral Imagery.&nbsp; &nbsp; Accurate. Immediate. Anywhere. A Case for Multispectral Imagery Data Collected on 10 June, 2018 Peanut Stand Survey #1 -180 acres Canopy appeared unaffected Wet conditions in early 2018 Hot &amp; Dry thru May\/June 38 minutes Time-of-Flight (TOF)<\/p>\n","protected":false},"author":1,"featured_media":130,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-111","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/pages\/111","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/comments?post=111"}],"version-history":[{"count":21,"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/pages\/111\/revisions"}],"predecessor-version":[{"id":1955,"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/pages\/111\/revisions\/1955"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/media\/130"}],"wp:attachment":[{"href":"https:\/\/georgiageo.com\/index.php\/wp-json\/wp\/v2\/media?parent=111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}