{"id":169,"date":"2026-10-13T11:22:12","date_gmt":"2026-10-13T11:22:12","guid":{"rendered":"https:\/\/therisk.global\/food-nexus\/?page_id=169"},"modified":"2026-10-13T17:57:23","modified_gmt":"2026-10-13T17:57:23","slug":"earth-observation","status":"publish","type":"page","link":"https:\/\/therisk.global\/food-nexus\/stem\/earth-observation\/","title":{"rendered":"Earth observation for crop monitoring"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/food-nexus\/stem\/earth-observation\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n1jv7xot.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n1jv7xot.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n1jv7xot.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n1jv7xot.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n1jv7xot.nxe :where(ul,ol){padding-left:20px}#nxe-n1jv7xot.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n1jv7xot.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n1jv7xot.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n1jv7xot.nxe svg{display:none}#nxe-n1jv7xot.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n1jv7xot.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1jv7xot.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"console\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G02 \u00b7 METHOD \u00b7 earth-observation<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Food Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Method page \u00b7 Earth observation and remote sensing<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Earth observation for crop monitoring<\/h1><p class=\"nx-tagline\">Satellites observe cropland every few days and across borders: greenness, water stress, planted area, flooding, burnt land and land cover change. Earth observation underpins crop monitoring and food security early warning, filling gaps where ground statistics are late, sparse or unavailable.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/food-nexus\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/food-nexus\/stem\/\">Back to STEM foundation of Food Nexus<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">earth-observation<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Earth observation and remote sensing<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/space-earth-observation\/\">Space and Earth Observation<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Food Nexus<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">5 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">3 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/technology\/earth-observation\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-application\"><span>02<\/span>What earth observation and remote\u2026<\/a><a href=\"#nx-sec-terms\"><span>03<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>04<\/span>Food systems and trade routes in\u2026<\/a><a href=\"#nx-sec-canvas\"><span>05<\/span>The method as a run graph<\/a><a href=\"#nx-sec-data\"><span>06<\/span>What the method consumes<\/a><a href=\"#nx-sec-checks\"><span>07<\/span>How results are checked<\/a><a href=\"#nx-sec-connections\"><span>08<\/span>Topics that rely on this method<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"food\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Earth observation for crop monitoring is the use of satellite imagery to track crop condition, planted area, crop type, irrigation and flood or fire damage across whole regions every few days. It underpins food security early warning where ground statistics are late or sparse, and every map is checked against ground reference samples.<\/p><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"supply\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">What earth observation and remote sensing does here.<\/h2><p class=\"nx-lede\">Earth observation and remote sensing gather information about the Earth's surface and atmosphere from airborne and spaceborne sensors. They provide consistent, repeatable measurements over areas that are hard to monitor on the ground. In food and agriculture, trade, resources and supply chains and climate and hazards, earth observation maps exposure, damage and environmental change across borders and sectors. It supports rapid assessment after disasters and long-term monitoring of risk drivers. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/technology\/earth-observation\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M13 7 9 3 5 7l4 4\"\/><path d=\"m17 11 4 4-4 4-4-4\"\/><path d=\"m8 12 4 4 6-6-4-4Z\"\/><path d=\"m16 8 3-3\"\/><path d=\"M9 21a6 6 0 0 0-6-6\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Crop condition monitoring<\/h3><p class=\"nx-p nx-mt-1\">Vegetation indices and land-surface temperature are compared with their historical range for each cropland area and season, then summarised by region for the consensus assessments of GEOGLAM partners.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14.106 5.553a2 2 0 0 0 1.788 0l3.659-1.83A1 1 0 0 1 21 4.619v12.764a1 1 0 0 1-.553.894l-4.553 2.277a2 2 0 0 1-1.788 0l-4.212-2.106a2 2 0 0 0-1.788 0l-3.659 1.83A1 1 0 0 1 3 19.381V6.618a1 1 0 0 1 .553-.894l4.553-2.277a2 2 0 0 1 1.788 0z\"\/><path d=\"M15 5.76v15\"\/><path d=\"M9 3.24v15\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Crop type and area mapping<\/h3><p class=\"nx-p nx-mt-1\">Optical and radar time series are classified with ground samples to estimate planted area by crop, with an accuracy assessment that states commission and omission error.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M7 16.3c2.2 0 4-1.83 4-4.05 0-1.16-.57-2.26-1.71-3.19S7.29 6.75 7 5.3c-.29 1.45-1.14 2.84-2.29 3.76S3 11.1 3 12.25c0 2.22 1.8 4.05 4 4.05z\"\/><path d=\"M12.56 6.6A10.97 10.97 0 0 0 14 3.02c.5 2.5 2 4.9 4 6.5s3 3.5 3 5.5a6.98 6.98 0 0 1-11.91 4.97\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Irrigation and water productivity<\/h3><p class=\"nx-p nx-mt-1\">Satellite evapotranspiration and biomass estimates map irrigated fields and how much crop is produced per unit of water consumed, as in FAO WaPOR.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">NDVI<\/td><td data-label=\"Definition\">The normalised difference vegetation index, a ratio of red and near-infrared reflectance that rises with green vegetation cover and vigour.<\/td><\/tr><tr><td data-label=\"Term\">Crop type map<\/td><td data-label=\"Definition\">A classification of satellite imagery into crops, trained and tested on field-collected reference samples.<\/td><\/tr><tr><td data-label=\"Term\">Ground reference sample<\/td><td data-label=\"Definition\">A field observation of what is actually on the ground at a location, used to train and validate satellite maps.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"food\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Food systems and trade routes in Thailand.<\/h2><p class=\"nx-lede\">Plains, deltas and basins, the corridors that carry food to ports, and how far each division sits from one, shown for Thailand as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"thailand:food\" data-ramp=\"orange\" data-basis=\"case\" data-focus=\"0 0 2000 1400|726 103 849 346|974 470 1123 614|728 479 869 644\"><figure class=\"nx-fk\" data-fk=\"map-thailand-food\" data-ramp=\"orange\" 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\"><figcaption class=\"nx-fk-cap\"><span>Plains, deltas and basins, the corridors that carry food to ports, and how far each division sits from one.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G02\/stem\/earth-observation\/#map\" data-nxf-title=\"Food Nexus live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Food Nexus \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-canvas\" class=\"nx-section\" data-hue=\"supply\" data-tone=\"alt\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">The method as a run graph.<\/h2><p class=\"nx-lede\">Data from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Method canvas<\/strong> \u00b7 Earth observation and remote sensing as applied here<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g02-stem-earth-observation-eo-t nx-dag-g02-stem-earth-observation-eo-d\" data-nx-z=\"zVzLcuM4lv0VBHtTFW3SxIOviFRGuG11lqOdksePqsklTMESIylSRVJOO79g1vMzve9PmS+ZwIMSKIkWaNLuXqQTlMSLew+Aw4sDEJ9m7LH8\/GlFq4oVGUhmIyt7tmd0bs9dZJcVW9qMFtXCzh9KVjzRKskzm+X2LK9KC\/xIZtViZEHfAguWzBeVLCtr91lSlSNrXbLidkVjNs3uS2Z9\/hQnRZwyEKe05F9zW48JS2cWiJ9HVmiB+EX8V4ws1wms08+fTpXFz5+WtPjOCnM\/aVHkPyzwlLAff8ufR5YLXBACbpw9\/vfICkTh28giFpCm\/5Ah+fX1byou3wJ5kbCsGll0XeV2WdGisgv2xAoR1IpWi21IqtrZyPoKeJVXIAQEXInKf4qIpPU3BmSnyRP7N0Wl6jYI7VT2rYLF1dZGTLMnqnUd5LrbzuP5xALFM\/frVN3Y\/rvHJE1H1rpIf\/mLcZf9dWN349CKZiy1uTELcCgt8CL+HqzYd7mBNMm07rugSWGXFniG4r5nVN\/0AsUN4AXVN1bsWat5mWc5WNtJ9h2JqmEo6saeBR7zrLLL5CcbWdB1PAvwO22axYu8GFmilSyQMj4o7HJF4ySb88HiEra0PhfrrASn4DHPZ3bGntf8guV2vKBJxot74NBsZn865VXsgpPlM2ZXdA7WdvVgP9DZnAlXcQgd6S2CG6gipNFAKBsSt4Zdm7b5t8IoQYEyirHTBCHcw2CZzGYpOwQC5BhcjG8vv0zAzf2kDmy+9aB6sMCMVtSmMY9\/ZP3M86WdZBYo8pSNrId1VeWZBSr6kGQzJnsFLRJqp\/SBpfL3IMmsvc69SFYilCgMHCLx2XYlRByNKPkXHCFyvGNEUeQEEhhyrG+04+L6HJi\/1niczg0wyddVN1D4De2oeKTuNUOg4gcOHAiV\/\/uf\/zXF5TExh4T\/th0NN9rFAosB8BYsUOBEA2Hx98s7UyxWKX0xBkP8uBWN0PN5P2jiQQgfRW\/AIwzCmkp643F9dfZNB6QlgMDb69qR+8auHbrYwQO5f3X2bXp\/B\/71T3B1c5jk50W+ljEgOZ5giLddEnsO1BoBQvWIDl8LA8unhDIXBY0gItPHGUQ8gC830\/vJBbgdf\/k6ntwdCwF7rvD3ZWQFUWsUGCHzKPyNxQj3CeT6Zmxf30zPx7e3l5MvxwLxg8hB0ZCB+OHGYr9AziZnV9\/uLs9vj8UAXTd0CN7rVDBwHS94W6eCLtza7NezLsZXl7+Pbzaju5ntstmcAflfnfNy7isrtuJ5jbx6LPLlyKLxn+q6ykdWCsUUaHHFsrmIVmXLMIgcLwCI+OAcIIjrC+hvi1GginWmbrNs1iXL3eboItfdD8l+TDdTk24enXZCyGsgxDHZAoQOA4QJcSBR7uAgrC8wEkVIEMA+UsUPAaibR90A8psAIQ0gWswOI0Sw5xAMYAjBeX3B\/dkvYgg\/BKFuHnVDKGwOMg7KBqJ4eRghzw2dAALsueAceATVFyQSRe6Ph3xV\/BCEunn0KkKZmCppCEUNhDgmW4AWhwHyA+ygSHXpwA3qC98TRd6l\/QiqYi+AWrBpBABRM4KFFsETTQ+HEPI82ReunoMwgPVFiESRRxN6nip+dAjzqkMIslOoEPjFO4WgJfFMpOOdIth9wEsT9sNcJqswqDP3CDrb7NcL9ewX4mOCgLIqtYCQ+PWExhVZtIkY8Llgj6xgWcz0fP1Y85FG8KLFNtGv2ogYui6q+e0cQBf79VUUborQRa4qD9qEXDqpFZRZnjXjqduSf6tnJmoWdhb\/uU6K+pbqZcVGFi+WbMsstGIj62I6GatPlnBk5asqiWnK5xEFndGi\/gqNrPOclhVNwSqlXEMRn4sccGR9KfJ1NgMlmy9ZZj5vVk6eAOXZCRBhHlSnHvJnmaZjNf0Ktmkm8RtpZhDuqotNUwtGZ6a2kN\/RliaU7dqCqMVIEnOY+JwRKrFNy6H1SRnRBlezvws78\/RltbBAVdCsfMyL5cgSxZRW7BcCTxDEv8p+jQFxvNi1IUA2dDxA+N+SAF4E0PGevNgF0Ea8bItPSpvYvMx\/+PMrBgH\/ARA\/kLeU\/HtpaH\/olzQrZXIPwdr+4XPZlIOqwkVkRweE3Mpn1T3qQf76fKGGjkRHSOTYZOHs7ux2fHesUtSo1DeZZ33eHVvdAgt8kzoag\/R1sVdOszBxgkBBpylUvq5QQa+7ygs97EBl2IPNNumo8U4n4zqS3TWlVc7bkq8nyTmOXFQSRFyMLCz74o689Sqt4gatbqYzirDOaZo8FLRi4Jcr+GuDXCtafn+VWQs6S\/Ilq4ok1kh1zpqf9SPUpn8ngDtlQqpy9jccsRraMyZX3V4vgkWutzH0DiQrzTeIFi\/Cp\/A3\/NOYFBHauthCjM1mNqMRPfK+HHl3dvsPM4LUazUjSW2YdA\/MjCM3Y86AH1EUOZi8Az9iGDgB+UB+VEPoAD+23yR1kd6k6jVJFe2Qal6IBvjlCnWkVFot83K1YE1KrVhR7GWo1wWzV0Ues7JMsrk5oWq+mdOp1IqkdOniAfJUM3vmuapmDwY96BQH7taxaHA6leZPoBu9nU5xtHURuYfpVGtkM87R4ybeR5GpXqsXmTCdNkC6BxYgkyrUaDOgUuJjJ1JLRdgfkEpJiJx6DYoE70+l9fCJRYXIjEqlPHjwpi5U6jen\/RuttJ5RZzR9KZPSLhidvXSe\/VdJymZ8fjIvktmMzTRW5VuFkjzbfNaPV5t+dhMAtuQlxO8ByfU1e28hV4y8YcgVN1h6UHLFMPjPEgU0wubLLweFgUbv6cxs2MMfqBHoFfuBEaXujMLuAYauST2bId2NvDEh70Pe2PM+lryx53Yn752bXiHv1oUuSd6bZRzFiV+36W5b\/ntzP5lcTr5ojB2n+Vr0lXJBZ2ItqibsP9c0TaoX8JjSeTkIaX8V6a9Mgot1lvF7X6Vqud41nKxgaM+YqnV7vWQFj6to76fdSvP9ZAXP27rYIivw9jXjGj3ejxMT9FrNxISd0dE9ODNBoTHUDMjUdyMnjPZEBc\/Tt8G9hUx9HDheNISooJimjU9pHLOsAmvFcbEIyhVBSa0g4N2gUN6\/QqxqBBqqEkD+p9cqlrm7KhR\/rtl6k8k2l9gVNy92NIoFzeYMUJV4NGh6mc+0hVbB0\/91P74fXzRompZl8pjEYsVPFyuSJQMlKxK2w9Eix6mSuDTXKpo+ngDh2AlQwb7K1HIrwHCKhaE9Y6bW7fVSLPwo2jo2vGIhzTcUCwhTbHsAAQyw7RvzdQC3jrbpFs0GN2M3HYC+0sXX6cX4yoy79WrNtIvmkOkenKF8sR1\/BsQdhK7j+3sSBokc1I+4Q9dzkD+EhCGp53geXI+oTiKG3M7SVcQ4wLYQNuh2sxVFUZla\/qqKdbU4LmLssa14zQyUdLlKN7QqdjCsyypflnzozhjge7d6k67uqSZjdOTcQYQMQ3tv4dx+QoY2Kt9DyFCc+x8nZGgM3iZk6L2nM8N9rIyhV2wmYzRGYffozDSMA0O6G4\/rasagPN5TzTDlcZ2SzaWJOa1adjdKQt5uj1M89ztNk9n2JsnGDSuCir+c3TUW6OJ4XdD4RePgOM8e11x2AktaFclzXwKuHTsB883f13lXbrgcTpUwtGfMu7q9XqpE6OONoXdQJaR5TZUIAEo94Nnin+2ZaxNhuHW0RZuom9mMR\/TI++oTvEubUaReq5k+UY+P7lGZCRO7g82AGiMvcHz8DhseosB3XDyENqG3yCvEqIZRXEdilODqN3mGWbHaJNx5mwSLk3KrBuxsU5Y8vNpd4Lsu8tk6rkCVA37gQjM53jUoKPns\/u636c3l3TeNl\/+e53xzWbwuuGwVp+uyYvpW3zRZJlUJhIWdBb8LxsWXwvx90B2PT0Dt5gmg62qRcxeO7E6T+6sH3J5maNB8f5pusBdnQxdtXnt7D9JW9jXWRiBYQJeT9xN0jSkbumTrZwtn77S8Gck1AOi9mXd8fnl7OZ2Y8XejajMCPziQ3hCoGZ03hqXJ5l6XT+H2uNwPem\/uhchTL+X35PINOxnsYKsH2XGaXSZZsqQr6+AhIDX68kkaboeYp50AQoj2FnfTyHJ5YIuGMIm9+twDoeRvjs3hr7hsDEu7sItdvnTzHnYDrN7ogZ4TvYddTPrblVq\/7M2ofgNpABxqVUp0Z0FYQyFx2PIQWMgJl7CL3frkkSH6xCZzELZJ5OBetvmJRfWYQErV3NrBof5iu7SD6lHc4dAdgtSpO7xw2j7WkQSKoO1YD\/TTfiDSjyM6dkqAtEX8nQee8YOJqOU1cHf5dXx1ORnz9cnpZAyub6YX9+cbOWYfCAkD5LuGBRBi+zDHwfMlDh4xiAAGkqOIT976cJUnTuy8ntPmL3Z9bpl7rIrdfcbyQIwhvL6W+x6OeU1wJH0Whe4eE\/Vk74+yWN05irIXwBplVezusxd4Q6G8O11vcztwVWcWhe4uB+5AnVlNawy3WikS2JEo2yrdHSlNnqoKGn9XI1MRVbAlSw\/rx5JpmdqOkdR+oMX+ozggjrtnM\/Cc4LBRs7Aj1zFbOGx5UeVo\/KGYTwyCACL1mVpNqz0x8FxoiMCBveVH44+Gih7LB\/iOzb6xy5TGqOMf3Kh5LH7P9ZzhEWha7Y4BbGCAkBkC+p6qo3FDv1\/Um1SZuFBNz3SbfdsdI+Nxf3hnwlEAkN+34bXcmwT12QJNu31hIGbLbgcX944igIP3iF+z2h59Q6b80VQl6wPhnu3a2fr6h3JUiZY\/bHHCI3bCiIRBhDHExPet3QwgE+eqiDEK69+rfEuVZS6AGrlAM3C5B031d6\/eUEcaovX+wRTotYa2+SmZmtnaF242cnqt502mf7SfLredqwTE3ZuskEYcHSYrgYcGma1cTm6vx+d30xs+VbkdX43P78YXYDK9aFkY2dcMxVVpV0mVsqZr\/o5rqN6JKl6Tl7uMzbKyjcnwzbmgaKnpH5PxTaNK0beTrBxZ+Y+MC+UbH3hQT+DAUpDnHvSlRdgbT8GqyOcFXS5Zx2CjqFewl5Pr+7vblmiTbLXm5z+bhxuZvZbWSAsAf9+h7Ba2B3u28f3dK3Hn66pj4Lv+tO5pY7Swy+8vYJU8s7Rr0KhfW49\/v7wYT87HLVGzp2TGD9XpEjaKOu+PBt\/ZquoYOOnX2veTq+n5P9pae52lefy9U2sTo9Y+nAX9Pw==\"><title id=\"nx-dag-g02-stem-earth-observation-eo-t\">Earth observation and remote sensing in Food Nexus: Earth observation processing chain<\/title><desc id=\"nx-dag-g02-stem-earth-observation-eo-d\">Acquisitions are calibrated and corrected into analysis-ready data, masked for cloud, analysed for change and validated against ground truth before the product reaches its user. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 01<\/strong><span>Nodes carry their type, metrics and state; connectors show what feeds what; the gates are the validation steps; the timeline is one application. Design of the method's use, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by earth observation and remote sensing on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Sentinel-2 and Landsat optical imagery<\/td><td data-label=\"Role\">Crop condition, type and area<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Sentinel-1 radar<\/td><td data-label=\"Role\">Crop mapping through cloud, flood extent<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">MODIS and VIIRS<\/td><td data-label=\"Role\">Vegetation and temperature time series<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">FAO WaPOR<\/td><td data-label=\"Role\">Evapotranspiration and biomass<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Ground reference samples<\/td><td data-label=\"Role\">Training and validation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G02\/stem\/earth-observation\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G02\/stem\/earth-observation\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"food\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Products are assessed against ground reference data using accuracy matrices and independent samples. Cross-calibration between sensors checks consistency over time.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Accuracy assessment<\/td><td data-label=\"How it is done\">Maps are scored against an independent probability sample of ground reference points, and area estimates are adjusted for classification error<\/td><\/tr><tr><td data-label=\"Check\">Cross-sensor consistency<\/td><td data-label=\"How it is done\">Trends are checked across sensors and processing versions before they are reported<\/td><\/tr><tr><td data-label=\"Check\">Cloud and gap reporting<\/td><td data-label=\"How it is done\">Missing observations are reported as no data, never as normal conditions<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Clouds, revisit gaps and mixed pixels limit what can be observed. Changes in sensors and processing can create artificial trends.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"supply\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connections<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/agricultural-production\/\"><span>Agricultural production<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/food-security-and-access\/\"><span>Food security and access<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/soil-and-land\/\"><span>Soil and land<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/food-water-energy\/\"><span>Food, water and energy<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/agritech-and-innovation\/\"><span>Agritech and innovation<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/food-system-shocks\/\"><span>Food system shocks<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/space-earth-observation\/\">Space and Earth Observation<\/a> stewards earth observation and remote sensing for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/technology\/earth-observation\/\">Canonical page: Earth observation and remote sensing<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"food\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/stem\/technology\/earth-observation\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Canonical method page<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Earth observation and remote sensing<\/span><span class=\"nx-dest-why\">Platform application links to the canonical method page.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/space-earth-observation\/stem\/earth-observation\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Earth observation methods<\/span><span class=\"nx-dest-why\">Space and Earth Observation stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"supply\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" 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