{"id":7891,"date":"2026-02-18T10:47:19","date_gmt":"2026-02-18T10:47:19","guid":{"rendered":"https:\/\/agforest.ai\/green-areas\/"},"modified":"2026-02-26T15:39:23","modified_gmt":"2026-02-26T15:39:23","slug":"green-areas","status":"publish","type":"page","link":"https:\/\/agforest.ai\/en\/green-areas\/","title":{"rendered":"Green Areas"},"content":{"rendered":"\t\t
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Public administration<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Monitoring of green areas and urban trees<\/h1>\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\tDiscover how we do it<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\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\t\t<\/div>\n\t\t
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Status of urban trees<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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\r\n \"\"\r\n <\/div>\r\n \r\n\r\n\r\n\r\n\r\n\r\n<\/g>\r\n\r\nReduction in the temperature <\/tspan>that urban trees can generate <\/tspan>in summer.<\/tspan><\/text>\r\n+12 ºC<\/tspan><\/text>\r\n<\/g>\r\n\r\nAverage cost per inhabitant of <\/tspan>urban tree maintenance in <\/tspan>Spain.<\/tspan><\/text>\r\n45 €<\/tspan><\/text>\r\n<\/g>\r\n\r\nTrees that cause incidents <\/tspan>without visible problems due to <\/tspan>climate change.<\/tspan><\/text>\r\n80 %<\/tspan><\/text>\r\n<\/g>\r\n\r\nDeaths recorded in Madrid in <\/tspan>recent years due to problems <\/tspan>with roadside trees.<\/tspan><\/text>\r\n5<\/tspan><\/text>\r\n<\/g>\r\n\r\n\r\n\r\n\r\n<\/g>\r\n\r\n\r\n\r\n\r\n<\/g>\r\n\r\n\r\n\r\n\r\n<\/g>\r\n<\/g>\r\n<\/svg>\r\n\r\n<\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t
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\r\n \"\"\r\n <\/div>\r\n \r\n\r\n\r\nAverage cost per inhabitant of <\/tspan>urban tree maintenance in <\/tspan>Spain.<\/tspan><\/text>\r\n45 €<\/tspan><\/text>\r\n<\/g>\r\n\r\n\r\n\r\n\r\n<\/g>\r\n\r\nTrees that cause incidents <\/tspan>without visible problems <\/tspan>due to climate change.<\/tspan><\/text>\r\n80 %<\/tspan><\/text>\r\n<\/g>\r\n\r\n\r\n\r\n\r\n<\/g>\r\n\r\nDeaths recorded in Madrid in <\/tspan>recent years due to problems <\/tspan>with roadside trees.<\/tspan><\/text>\r\n5<\/tspan><\/text>\r\n<\/g>\r\n\r\n\r\n\r\n\r\n<\/g>\r\n\r\nReduction in the <\/tspan>temperature that urban <\/tspan>trees can generate in <\/tspan>summer.<\/tspan><\/text>\r\n+12 ºC<\/tspan><\/text>\r\n<\/g>\r\n\r\n\r\n\r\n\r\n<\/g>\r\n<\/g>\r\n<\/svg>\r\n\r\n<\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Optimizing<\/b> the maintenance of green areas<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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At Agforest, we turn satellite imagery and artificial intelligence (AI) into allies for public administrations and green space maintenance companies to optimize costs and minimize risks.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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  • \n \"Inventory\"\n \n

    Inventory<\/h2>\n\n
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    Inventory update<\/h3>\n

    Through semantic segmentation and LiDAR data integration, we automatically identify and characterize urban trees, estimating crown diameter and height to facilitate the updating of the municipal inventory.<\/p>\n <\/span>\n <\/div>\n <\/li>\n

  • \n \"Prediction\"\n \n

    Prediction<\/h2>\n\n
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    Risk prediction<\/h3>\n

    We apply satellite analysis and time series, identify early signs of stress and anomalies in urban trees, generating dynamic risk maps that allow us to prioritize maintenance and predict risks.<\/p>\n <\/span>\n <\/div>\n <\/li>\n

  • \n \"Monitoring\"\n \n

    Monitoring<\/h2>\n\n
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    Tree monitoring<\/b><\/h3>\n

    High-frequency satellite images to continuously monitor urban trees, detecting dead trees, abnormal growth, and evaluating the effectiveness of actions, with a comprehensive and up-to-date overview.<\/p>\n <\/span>\n <\/div>\n <\/li>\n

  • \n \"Irrigation\"\n \n

    Irrigation<\/h2>\n\n
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    Precision irrigation<\/b><\/h3>\n

    We identify the actual water needs of urban trees, isolating the crown of each specimen using semantic segmentation to estimate its stress level and enable precision irrigation that optimizes maintenance.<\/p>\n <\/span>\n <\/div>\n <\/li>\n <\/ul>\n\n