At Agforest, we help organizations assess the exposure of their assets to extreme weather events, anticipate risks before they materialize, and monitor their economic impact to protect and improve their bottom line.
We extract the full potential of data: we combine multiple sources and scales to build a local, accurate approach that is fully tailored to the needs of the study.
We combine the data sets with satellite technology to obtain a real picture of the current context of the environment being analyzed.
We use satellite time series and historical data to develop artificial intelligence models that enable us to predict risks.
We quantify the economic value of ecosystems and the impact of physical risks on the income statement to aid decision-making.
We assess vulnerabilities associated with extreme weather events. Up to 20 years of satellite data.
Hydraulic modeling for updating return periods and estimating the volume of water carried away by runoff caused by extreme weather events.
Predictive models based on historical data to obtain predictions regarding the probabilities of occurrence of extreme weather events.
Monitoring of specific areas to provide real-time alerts regarding weather events that may pose a financial or physical risk.
We combine satellite imagery and artificial intelligence to monitor all parameters related to biodiversity. We promote ecosystem regeneration from a distance.
Calculation of ecosystem services provided by biodiversity in cities. Estimation of the economic value of these benefits to calculate ROI.
We apply the precision provided by satellite data and artificial intelligence to monitor vegetation health. We help improve maintenance.
Companies and cities should outsource maintenance work. We use AI and satellite data to assess compliance and quality.
Identification of polluting spills in water reservoirs. Creation of dispersion maps to assess developments and prevent environmental disasters.
Estimation of chlorophyll levels, turbidity, and eutrophication in water. Analysis of water resource quality to ensure public health.
Companies and cities should outsource maintenance work. We use AI and satellite data to assess compliance and quality.
We evaluate water parameters relevant to human health.
We apply artificial intelligence to generate "territorial intelligence." Data at the service of decision-making.
LiDAR point clouds, digital terrain models, and optical images to determine the degree of soil erosion and its impact on other phenomena.
Analysis for early identification of pests, forest fire risk, or water stress. Process optimization to improve vegetation health.
Updating SIOSE and segmenting land use with historical series to identify fraud and improve land-use planning.
Complement field measurements with satellite technology.
Measurement of fugitive emissions (scope 3) at critical sites such as landfills. Establishment of remote early warnings.
Preparation of pollutant dispersion maps integrating various sources of information to understand how weather conditions will affect the evolution.
Analysis of time series and historical data for the development of mobility plans capable of positively impacting the decarbonization strategy.