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The update relies on the re-assessment of the previous value chains, and includes 2 additional value chains on the Response to Natural Disasters and Security.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:10.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "132920ad-5f11-4122-ba5b-b85dc8c54a28", "parentComponentId": null }, { "bbox": { "h": 0.558, "w": 0.496, "x": 0.252, "y": 0.382 }, "kind": "list", "text": "MAIN RESULTS AND KEY FINDINGS 5\nEARTH OBSERVATION MARKET 11\nTHE COPERNICUS PROGRAMME 27\nCOPERNICUS SECTORS 38\nAGRICULTURE 38\nFORESTRY 50\nURBAN MONITORING 61\nCOASTAL AND MARINE EXPLOITATION AND PRESERVATION 73\nOIL & GAS 86\nRENEWABLE ENERGIES 98\nAIR QUALITY MANAGEMENT 110\nMANAGEMENT OF NATURAL DISASTERS 122\nINSURANCE FOR NATURAL DISASTERS 124\nRESPONSE TO NATURAL DISASTERS 129\nSECURITY 142\nAPPENDICES 156", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:10.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0ef1226d-503d-4821-924d-c502dee5ce66", "parentComponentId": null }, { "bbox": { "h": 0.055, "w": 0.252, "x": 0.068, "y": 0.105 }, "kind": "title", "text": "CONTENTS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:10.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6ccf9762-b036-4f4b-8cdb-de6106e6b36f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 4, "arc": { "name": "Monroe's Motivated Sequence", "slug": "monroes-sequence", "status": "active", "bestFor": "Persuasive speeches, call-to-action decks", "canonId": "019dd956-5f25-7189-a428-2e6d7f9e5606", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Attention -> Need -> Satisfaction -> Visualization -> Action", "description": null, "familyLabel": null }, "from": 1, "name": "Attention", "beatId": "64cbb433-28a3-490e-8c10-89c2a577df58", "matchId": "46559d33-47bc-4347-8915-c8301f0d32f1", "beatType": { "name": "Attention", "slug": "monroes-sequence-attention", "status": "active", "canonId": "019dd9b8-1573-779d-93ca-6174bbd57938", "version": 1, "description": null }, "evidence": "Introduction to Copernicus and Earth observation", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Hook", "slug": "hook", "status": "active", "canonId": "019dd9b8-01a6-7328-bff2-b22eb40b3ea5", "version": 1, "description": "The opener — a deliberate move to earn attention before any argument. 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CHALLENGE 2: For many farmers, there is a lack of broadband or infrastructure to support the shift to digitalization, as well as a digital skills gap in utilizing the products. CHALLENGE 3: Many farmers still remain unaware of these solutions and the added value they can bring.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:28.166+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "53fa7159-db7a-4315-9ed6-f24b1a006903", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.54, "y": 0.27 }, "kind": "list", "text": "DRIVER 1: There is a trend towards sustainable agriculture, where farmers aim to balance economic profitability with being socially and environmentally responsible. DRIVER 2: Developing countries are facing food security issues, which can be addressed in part by EO-based solutions that provide early warnings and detect hot spots affecting the farmers. DRIVER 3: Public authorities are starting a shift towards utilizing monitoring services and tools in order to ensure compliance with regulation.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:28.166+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b369d1e1-feb5-41d2-ad71-efa7516ce7e2", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.43, "x": 0.058, "y": 0.248 }, "kind": "paragraph", "text": "There has been a push towards promoting sustainable agriculture in recent years, aiming to have farms that are economically profitable whilst also balancing its social impacts and ensuring it is as environmentally-friendly as possible. Many EO data solutions can be utilized to help support sustainable agriculture initiatives, such as water management and preventing pollution of the soil, water and air. Many developing countries are threatened by food security issues, arising primarily from natural conditions. However, opportunities for solutions where EO data can contribute to monitoring the impacts of such events are continuing to emerge. The international initiative GEOGLAM (Group on Earth Observations Global Agricultural Monitoring Initiative) helps monitor, amongst others, countries at risk for food insecurity, including providing timely early warning on general food shortages, and the detection of hot spots affecting farmers' livelihood. Public end-users, such as governmental bodies and local authorities, are looking towards EO-data driven monitoring solutions to help identify and measure main crop production areas and ensure farmers are compliant with policies that require responsible farming. These solutions are helping to lower costs, as traditional methods of monitoring have been on-the-spot checks, which are both high in cost and limited in scale.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:28.166+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "70a7ccd8-0d5b-487f-820d-34ab8e2cfbd3", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.4, "x": 0.54, "y": 0.62 }, "kind": "paragraph", "text": "Most companies developing EO-based solutions for agriculture are limited in how to approach customers. It is too complex to sell directly to farmers, due to the number of farmers and the fragmented state of the sector. Instead, they provide products to farming cooperatives or agronomic advisors. However, some countries do not have many farming cooperatives, and private agronomic advisors can be too expensive for small farms. Hence, there is a large proportion of the market not easily accessed by these companies. Whilst the shift to digitalization is advancing within Europe, there are many countries where farmers struggle to implement new technological features due to remote locations and hence a lack of broadband connectivity or supporting infrastructure. There is also a digital skills gap amongst some farmers, who feel as if they do not have the necessary knowledge to utilize technological solutions easily. 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Indeed, rules have been implemented to prevent private owners of forests from depleting this national asset. In these regards, the development of clear-cut maps will enable the authorities to enforce the rules in the forestry sector. Forest agencies in other European countries use commercial satellite imagery to prepare their maps.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:26.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "74f39d87-21cb-40c3-bc57-abf41d73d428", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.4, "x": 0.54, "y": 0.68 }, "kind": "paragraph", "text": "One of the main challenges of using EO data for forest mapping is constructing time series on given characteristics. Large budgets do not guarantee the quality of forest variation maps; for many aspects (e.g. biodiversity) there is still a need to develop or validate methodologies for producing maps at scale, not to mention the impossibility to retroactively collect new data from past data gathering. Mapping variations over time still relies on the analysis of suboptimal historical satellite datasets, while mapping certain parameters may involve extensive ground research and data.\n\nSecondly, there seems to be a gap between users' expectations on actual quality of data, and what this data can actually accurately map, especially within a reasonable budget for the users.\n\nMoreover, the change in the signal over time detected by EO sensors does not necessarily reflect variations in the forest features, but may indicate changes in atmospheric conditions, vegetation seasonal changes or humidity conditions, or even the actual calibration of the sensor itself. The accuracy of such maps thus needs to be assessed through further ground data or independent EO products, and to rely on EO data and methods that are least likely to cause misconception in the resulting map.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:26.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bef9a0e0-f4d3-4067-bc66-c29c9a1716f0", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.44, "x": 0.06, "y": 0.34 }, "kind": "paragraph", "text": "Preserving forest ecosystems and green infrastructure is crucial for peoples' well-being. They are hosting global biodiversity, and they provide benefits to society and the economy via the provision of ecosystem services (soils erosion protection, watershed regulation, climate regulation, carbon storage and water/air purification). EO data provides forest authorities accurate forest mapping. Thanks to time series of satellite images, forest authorities are able to detect change in the land cover/land use in forest areas, such as illegal clear cut.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:11:26.113+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f2ca8e1a-722c-4ae7-9962-ccfaf58f93ad", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.44, "x": 0.06, "y": 0.5 }, "kind": "paragraph", "text": "Lastly, sustainable management of forests requires activities like replanting within 3 years after the clear-cut and one or even two pre-commercial thinning within the 10 years after replanting. These are costly investments for private owners if they only looked at short term optimization of returns. However, in the long term (approximately 80 years) the profitability of the forest is improved as this sound asset management results in more wood for the final clear cut. 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