[Click here to download the PDF](https://wiki.eaglearca.com/attachments/9)
**Introduction** Welcome. In this video we will explore a series of use cases dedicated to smart agriculture, designed to demonstrate how the integration of Earth Observation data, robotic systems and advanced digital technologies can support agricultural activities and improve crop management. Agriculture today faces a wide range of operational and environmental challenges. Farmers must continuously monitor crop health, manage soil conditions, and optimize the use of resources such as water, fertilizers and energy. At the same time, agricultural operations often extend across large and complex areas, where traditional monitoring methods can become difficult to apply efficiently. Maintaining agricultural infrastructure also represents an important aspect of farm management. Irrigation systems, fences and storage facilities must be inspected regularly to ensure that they function correctly. If these elements are not properly monitored, small problems can quickly become more serious and costly to address. These challenges are further influenced by environmental variability and climate change, which introduce increasing levels of uncertainty into agricultural cycles. For this reason, many agricultural operations are progressively adopting technological solutions that allow farmers and technicians to collect more data, monitor the territory more effectively, and support more informed decision-making processes. One of the technologies that is gaining attention in agricultural monitoring is the use of robotic systems, such as robot dogs. These autonomous robotic platforms can move directly within cultivated fields and are equipped with cameras and sensors that allow them to collect detailed information about crops and environmental conditions. Operating at ground level, robot dogs can inspect plants individually and identify potential anomalies such as signs of disease, pest presence or irregular growth patterns. In addition to crop inspection, they can also support the monitoring of farm infrastructure, including irrigation networks or fences, helping operators identify damage or malfunctioning components. Through their onboard sensors, robot dogs can also collect environmental measurements such as soil conditions, temperature and humidity. This information contributes to a more detailed understanding of field conditions and allows farmers to intervene earlier when problems begin to emerge. Alongside robotic systems, satellite data represent another important source of information for agricultural monitoring. By using Earth Observation data from Copernicus Sentinel missions, it becomes possible to observe large agricultural areas and analyze environmental indicators that influence crop growth. Satellite imagery can be used to monitor vegetation conditions through indices such as NDVI, which provide insights into plant vigor and help detect early signs of stress related to drought, nutrient deficiencies or pest activity. Radar data can also support the analysis of soil moisture levels, offering valuable information for irrigation planning and water management. Another important advantage of satellite data is the possibility to observe long-term environmental trends. By combining current observations with historical data, farmers and agricultural technicians can analyze changes in land use, monitor crop cycles and better understand how environmental conditions evolve over time. While satellites provide a large-scale overview of agricultural landscapes, drones offer a more localized and detailed perspective. Drone systems can perform targeted aerial surveys and acquire high-resolution images of specific areas within the agricultural territory. These aerial observations allow operators to analyze crop conditions in greater detail, identify localized problems and monitor changes in vegetation patterns during different stages of the agricultural season. Drone surveys can also be repeated periodically, making it possible to compare observations collected at different moments of the year. In some operational scenarios, drones can work in combination with ground robotic systems. For example, an aerial survey may identify a specific area where crop stress or anomalies are present. A robot dog can then be deployed to inspect that area directly within the field and collect additional information at ground level. The real strength of these technologies emerges when they are integrated together. Satellite observations provide large-scale environmental context, drones supply high-resolution aerial imagery, and robot dogs enable close inspection and data collection directly within the cultivated field. When combined, these different sources of information allow farmers and agricultural technicians to obtain a more complete and multi-scale understanding of agricultural systems. Within this context, the EagleArca platform provides an operational environment where satellite data, drone missions and robotic operations can be integrated and managed within the same system. Through the platform, and through activities carried out within the SDIC laboratory in Nairobi, it becomes possible to observe the evolution of the territory, monitor crop conditions and support agricultural decision-making processes using reliable, up-to-date and easily interpretable data. The use cases presented in this video represent practical and replicable applications designed to facilitate decision-making for agricultural stakeholders, promote more sustainable and efficient farming practices, and strengthen the technical skills of local farmers. Let us now explore these use cases and see how these technologies can support agricultural activities in practice. **Crop rotation planning and cultivated area mapping** The first use case we will explore focuses on crop rotation planning and cultivated area mapping. This use case involves the use of a drone hangar and a drone operating within the EagleArca platform environment. **Purpose and benefits** The main objective of this use case is to support the advance planning of crop rotations, prevent soil overexploitation and enable the visualization of cultivated fields, crops and seasonal cultivation patterns. Through the EagleArca platform and the integration of drone missions, it is possible to support crop rotation planning and map cultivated areas within a defined geographic zone. Using the mission planner, the drone can perform automated flights over agricultural land to acquire images of the area. These images allow farmers and agricultural technicians to observe which fields are cultivated, which crops are present and how cultivation patterns evolve over time. This information supports more effective crop rotation planning, helping to avoid repeatedly cultivating the same crops on the same land and contributing to the preservation of soil quality. The objective is to assist farmers and agricultural technicians in their decision-making process by providing objective and up-to-date information based on aerial images. Compared with direct field observation, this approach provides a broader and more systematic view of agricultural land. **Image acquisition using the drone** The first step consists of observing the territory from above using a drone to perform an initial survey of the area of interest. During this phase the operator can identify field boundaries, terrain characteristics and the areas that may require closer monitoring. In many cases this type of aerial observation can be carried out through manual drone flights, provided that the operator holds the appropriate pilot certification and operates in accordance with local aviation regulations. However, aerial data acquisition can also be performed through automated missions managed directly within the EagleArca platform. Once the preliminary observation has been completed, the drone hangar connected to the platform can be used as the home location for automated flights. Through the Mission Planner the drone follows a predefined flight path, defined by a sequence of waypoints that guide the aircraft across the area under study. This approach allows operators to perform aerial surveys even without advanced piloting skills, while still operating within the limits defined by local regulations. During the flight the drone captures multiple close-range optical and thermical images of the ground, providing a detailed view of crops and field conditions. These surveys can be repeated at different times of the year, particularly during key stages of the agricultural cycle such as before sowing, during crop growth and before harvesting. Repeating the same aerial surveys over time makes it possible to observe how crops evolve, detect changes in crop conditions and identify areas where future cultivation activities can be planned. **Drone mission creation** A new mission of type Drone can then be created by entering the mandatory information required by the system, including the mission name, mission type, mission unit and flight parameters such as takeoff height, speed and global height. Once the mission has been created, it becomes necessary to define the drone flight path by positioning a set of waypoints on the map and defining the actions that the drone will perform at each waypoint, such as taking a photo. These waypoints represent the reference points that guide the drone along its flight route across the monitored agricultural area. **Definition of waypoints** Waypoints define the operational path of the drone and the altitude that the drone follows during the mission. For each waypoint, users can adjust the flight altitude, camera tilt, and zoom level. To insert the waypoints, the Draw tool available in the platform toolbar can be used. By clicking directly on the map, users can position the points that guide the drone along the desired flight path. The waypoints are automatically numbered by the system and can be repositioned if necessary, allowing the path to be adapted to the specific characteristics of the terrain. If the analysis needs to focus on a specific point of interest, such as a particular plant or a localized condition within the field, a waypoint can be positioned close to that location. In this way, the drone can collect detailed images of that specific point during the mission. Through this process, the landscape can be observed in a structured and repeatable way, making it possible to collect organized visual information that can be consulted over time within the platform. **Add actions to waypoints** After defining the waypoints, it is possible to configure one or more actions that the drone automatically performs when reaching each point during the mission. To assign these actions, the user moves the mouse cursor over one of the Action Cards in the left-side panel of the platform and clicks the Action button. Through this function, the action of taking photos can be assigned to the drone. All media collected during the mission are automatically stored within the platform and can later be reviewed, analyzed or exported when necessary. **Start the mission** Once the flight path has been defined and the desired actions have been configured, the automated mission can be started. By clicking the Start Mission button the drone begins the flight following the programmed route and automatically performs the actions associated with the waypoints. **Add specifications to the waypoints** Additional information related to the monitored locations can be recorded directly within the EagleArca platform by adding descriptive data fields. These fields allow users to organize agronomic information associated with the observed areas such as the type of crop present, the sowing period, the expected harvesting period and notes related to crop conditions. By storing this information within the platform, it becomes possible to maintain a structured record of cultivation activities over time, supporting the monitoring of agricultural practices and facilitating future planning and analysis. **Agronomic data analysis and crop rotation planning** The information collected during drone surveys makes it possible to analyze which crops have been cultivated in each field across different seasons and compare results between different years. By combining aerial observations with recorded agronomic data, cultivation activities can be organized more effectively, supporting better crop rotation planning and long-term agricultural management. **Satellite and Ground Observations** Satellite data available in the EagleArca platform provide additional environmental information that supports the interpretation of drone surveys. These datasets allow users to observe vegetation conditions and environmental trends across large agricultural areas. When aerial imagery highlights specific areas of interest, ground inspections can also be carried out using the robot dog. By approaching crops directly within the field, the robot dog enables more detailed observation of plant conditions and helps verify the information collected during drone surveys. Let us now move to the next use case. **Mapping and management of water resources** The second use case we will explore focuses on the mapping and management of water resources. This use case involves the use of a drone hangar and a drone operating within the EagleArca platform environment, together with satellite data services including Sentinel-1, Sentinel-2, Sentinel-3 and meteorological data provided by EUMETSAT. **Purpose and benefits** The main objective of this use case is to support the identification, mapping and monitoring of water resources such as wells, rivers, reservoirs and irrigation channels. Through the integration of drone observations and satellite environmental data, it becomes possible to improve the monitoring of water availability, understand environmental conditions and support agricultural planning, particularly for irrigation management and crop selection. This approach provides farmers and agricultural technicians with an integrated view that combines local observations with large-scale environmental information, helping them make more informed decisions about the management of agricultural land and water resources. **Monitoring approach** Through the EagleArca platform, the integration of drone missions and the use of satellite data, it is possible to perform mapping and monitoring activities related to water resources within a given territory. Drone surveys allow the acquisition of high-resolution images of the landscape, enabling users to observe and document water sources such as wells, rivers, reservoirs and irrigation channels. At the same time, satellite data provide broader environmental information including rainfall trends, soil moisture, vegetation conditions and other climatic variables that influence water availability. The integration of local observations collected by drones and environmental information derived from satellite data provides a more comprehensive understanding of water resources across the territory. This combined approach supports farmers and agricultural technicians in the planning of agricultural activities, improves irrigation management and helps identify crops that are more suitable according to environmental and seasonal conditions. **Image acquisition using the drone** The first step consists of observing the territory from above using the drone and performing an initial survey of the area of interest. This activity provides a first overview of the landscape and allows users to identify relevant elements such as water bodies, wells, irrigation channels or other hydrological features that may require monitoring. **Drone mission creation** As described in the previous use case, a drone mission can be configured through the Mission Planner by defining a flight path made up of waypoints and their respective actions. In this case, the drone captures images of water resources and irrigation elements, aiding in the mapping and monitoring of water availability within the agricultural area. **Creation of objects (point and line)** Once the relevant water resources have been identified, it is possible to create two-dimensional objects on the map representing the main hydrological elements of the territory. Points can be used to represent localized water sources such as wells, while lines can be used to represent rivers, streams or irrigation canals. These objects can be added directly to the map using the Draw functionality available within the platform. Once an object has been created, several informational attributes can be associated with it in order to support the monitoring and management of the water resource. For example, users may record the most recent flooding event, the most recent drought period or observations related to the expected availability of the water resource. Additional contextual information can also be stored through the Info section, allowing users to document notes, observations or other relevant data related to the monitored location. **Consultation of satellite environmental data** Environmental information derived from satellite observations can be accessed through the Layers section of the platform, where dedicated environmental layers can be activated. These layers provide data related to precipitation, temperature, vegetation conditions and other environmental variables that influence water availability. In some cases, the information can also be visualized through charts or graphical representations, allowing users to more clearly understand how environmental conditions evolve over time. **Ground Inspection with the Robot Dog** In addition to satellite observations and drone surveys, ground inspections can also be performed using the robot dog to verify the condition of water resources and irrigation infrastructure. The robot dog can approach specific locations such as wells or irrigation channels and capture images that help document their condition. This allows operators to verify the observations collected through satellite and aerial data directly within the field. Let’s look at another example. **Seasonal crop monitoring** The third use case we will explore focuses on the collection of seasonal photos to assess crop growth and vegetation cover. This use case involves the use of a drone hangar and a drone operating within the EagleArca platform environment. **Purpose and benefits** The main objective of this use case is to monitor crop growth and vegetation cover over time in order to observe how cultivated fields evolve across different stages of the agricultural season. By collecting images periodically, it becomes possible to detect improvements, reductions in vegetation cover or signs of crop regression, supporting a better understanding of crop development and field conditions. **Monitoring crop growth over time** Through the EagleArca platform and the use of drone missions, it is possible to monitor agricultural vegetation over time within a defined area of interest. The periodic acquisition of aerial images allows farmers and agricultural technicians to observe how crops develop during the agricultural season and to identify changes in vegetation cover, productivity or possible anomalies affecting crop growth. This information supports a more informed evaluation of crop conditions and helps improve agricultural monitoring practices over time. **Image acquisition using the drone** The first step consists of performing a preliminary survey of the area of interest using the drone. This initial observation provides an overview of the territory and helps identify the cultivated fields or zones that require monitoring during the agricultural season. **Drone mission creation** As mentioned in the previous use cases, a drone mission is set up through the Mission Planner by defining waypoints and associated actions. In this case, the drone captures images to track crop growth and vegetation changes, providing valuable insights into how crops develop throughout the season. **Add actions to the waypoints** During mission configuration, it is possible to assign specific actions to the waypoints such as capturing photos or recording videos. These actions allow the drone to collect visual information about crop conditions and vegetation cover at different locations across the monitored fields. All media collected during the mission are automatically stored within the platform, where they can later be reviewed, analyzed or exported when necessary. **Start the mission** Once the mission has been configured, the drone can start the automated flight and repeat the same survey over time, allowing users to collect comparable observations during different stages of the agricultural season. **Seasonal monitoring and analysis** By repeating the same mission during different moments of the agricultural season, it becomes possible to compare the collected images over time. This allows farmers and agricultural technicians to observe variations in crop growth, detect changes in vegetation cover and identify potential anomalies affecting cultivated fields. The comparison of seasonal observations supports a better understanding of crop dynamics and contributes to improved monitoring and management of agricultural activities. **Satellite and Ground Verification** Satellite observations can provide additional environmental context that supports the interpretation of aerial imagery collected during drone missions. If aerial surveys reveal anomalies in crop growth or vegetation cover, the robot dog can be deployed to inspect specific plants directly within the field. This allows operators to observe plant conditions more closely and confirm the causes of anomalies detected from the drone imagery. And now let's see the final use case. **Plant inspection using the Robot Dog** This example focuses on plant inspection using the robot dog, which operates within the EagleArca platform environment. **Purpose and benefits** The objective of this use case is to support detailed ground-level inspection of individual plants and to automate the collection of plant-related data. By approaching crops directly within the field, the robot dog allows farmers and agricultural technicians to observe plant conditions at close range and to identify potential anomalies, signs of disease, leaf damage or the presence of pests. This type of inspection complements aerial monitoring and supports more accurate crop health assessment. **Ground-level plant inspection** Plant inspection and the analysis of crop health can be carried out directly at ground level using the robot dog. Unlike drones, which provide a top-down overview of large cultivated areas, the robot dog operates among the plants and enables close and detailed observations of individual elements of the crop. Equipped with cameras and additional onboard sensors, the robot can capture images and environmental data that help document plant conditions and support agricultural monitoring activities. In this way, the robot dog plays a complementary role to the drone. While aerial surveys provide a general overview of the field, the robot enables targeted inspections that allow users to investigate specific situations directly within the cultivated area. **Creation of the robot dog mission** Once the plants or group of plants to be analyzed have been identified within the cultivated field, the first step is to create a new mission within the platform. This is done by accessing the Inventory section and creating a new mission object, which defines the basic mission configuration. The mission can then be configured in the Missions section, where the operational parameters of the robot dog mission are defined. During this phase, it is necessary to plan a route that allows the robot dog to safely reach the plants to be inspected. The selected path should avoid obstacles, unstable surfaces and areas with irregular terrain, ensuring that the robot can move efficiently within the field and approach the plants with precision. Proper route planning ensures safer robot movement and improves the quality of the data collected during the inspection. **Add actions to the waypoints** To guide the robot dog during the mission, it is necessary to place waypoints on the map that define the path the robot will follow across the field. These waypoints represent both navigation points and potential inspection locations. If the objective is to analyze specific plants in detail, a waypoint can be positioned close to each plant to be inspected. At these points, specific actions can be configured such as capturing photographs or collecting visual data that document the condition of the plants. The images and data collected during the mission are automatically stored within the platform, where they can later be reviewed, analyzed or exported when necessary. **Start the mission** Once the route has been defined and the desired actions have been configured, the robot dog mission can be started. By launching the mission, the robot moves along the programmed path, reaches the predefined waypoints and automatically performs the associated actions such as capturing images of the plants. At the end of the mission, the collected data can be accessed directly within the platform, allowing users to review the inspection results, compare observations over time and monitor the evolution of plant health within the cultivated area. **Satellite and Drone Support** Although plant inspection is performed directly using the robot dog, aerial and satellite observations help identify where detailed inspections should take place. Satellite data provide a broader view of vegetation conditions across the territory, while drone surveys allow operators to focus on specific areas of interest. Once these areas have been identified, the robot dog can be deployed to perform detailed inspections directly within the cultivated field. **Conclusion** In this video, we have seen how the integration of Earth Observation data, robotic platforms and digital technologies can support agricultural monitoring and decision-making. Through these use cases, we explored how different tools can be combined to observe crops, monitor resources and support more efficient and sustainable agricultural practices. See you in the next video! # Urban Planning - Practical Applications with EagleArca ---[Click here to download the PDF](https://wiki.eaglearca.com/attachments/10)
**Introduction** Welcome. In this video, we will explore a series of use cases dedicated to urban planning, designed to demonstrate how the integration of Earth Observation data, autonomous systems and advanced digital technologies can support the development and management of urban areas. Cities today face increasing operational and management complexity. In dynamic urban contexts such as Nairobi, rapid urban expansion, population growth and growing pressure on infrastructure make it increasingly difficult to plan and manage the territory effectively. Urban authorities must continuously monitor changes in land use, the growth of settlements, the condition of infrastructure and the availability of essential services. At the same time, urban planning requires the ability to coordinate multiple sources of information, which are often distributed and not always up to date. Maintaining urban infrastructure is also a key challenge. Roads, bridges, drainage systems, public buildings and transport networks require regular inspection to ensure safety, functionality and resilience. Without adequate tools, the timely detection of critical issues becomes difficult, leading to increased costs and potential risks for the population. These challenges are further amplified by environmental and climatic factors. Events such as heavy rainfall, flooding and heatwaves directly affect urban livability and require advanced tools for risk analysis and management. To address this complexity, many cities are adopting technological solutions that enable large-scale data collection, continuous monitoring of the territory and more informed and timely decision-making processes. Among these technologies, autonomous robotic systems are gaining increasing relevance in the urban context. Ground-based robotic platforms can operate directly in urban environments to perform close-range inspections, collect visual and environmental data and support infrastructure monitoring activities. These systems can analyze road conditions, detect structural damage, monitor the status of buildings and critical infrastructure, and collect detailed information in environments that are difficult to access or potentially hazardous for human operators. Alongside robotic systems, satellite data represent a fundamental source of information for urban planning. Through Earth Observation missions of the Copernicus Programme, it is possible to observe the evolution of urban areas on a large scale and analyze key indicators related to territorial development. Satellite imagery enables the monitoring of urban expansion, the identification of land use changes and the analysis of phenomena such as the growth of informal settlements or variations in impermeable surfaces. These data can also support the assessment of ground conditions and hydrogeological risk. Another key advantage of satellite data is the ability to analyze urban dynamics over time. By combining historical and recent observations, urban planners and decision-makers can better understand how cities evolve and plan more effective and sustainable interventions. While satellites provide a large-scale view, drones enable the acquisition of high-resolution information over specific areas of the city. Aerial surveys support detailed analysis of neighborhoods, infrastructure and construction sites, facilitating planning, monitoring and verification activities. These observations can be repeated over time, making it possible to track the progress of urban projects, assess the impact of interventions and identify emerging critical issues. In some operational scenarios, drones and robotic systems can operate in a complementary way. For example, an aerial survey may identify areas affected by infrastructure issues or rapid, unplanned development. A ground robotic system can then be deployed to perform detailed inspections and collect additional data at street level. The real effectiveness of these technologies emerges when they are integrated. Satellite observations provide a large-scale perspective, allowing the continuous monitoring of urban dynamics across wide areas. Drones enable the acquisition of high-resolution data at a local scale, supporting detailed analysis of specific zones. Ground-based robotic systems operate at a micro scale, allowing close-range inspection and direct interaction with the urban environment. By combining these different levels of observation, it becomes possible to obtain a more complete and multi-scale understanding of urban systems, supporting more informed analysis and interpretation of complex urban phenomena. In this context, the EagleArca platform represents an operational environment where satellite data, drone missions and robotic operations can be integrated and managed in a coordinated way. Through the platform, and through the activities developed within the SDIC laboratory in Nairobi, it becomes possible to monitor urban evolution, analyze infrastructure conditions and support decision-making processes using reliable, up-to-date and easily interpretable data. The use cases presented in this video represent practical and replicable applications designed to support urban planning, improve infrastructure management and contribute to the sustainable development of cities. Let us now explore these use cases and see how these technologies can be applied in practice within the urban context. **Mapping and Monitoring of Urban Growth and Road Infrastructure** The first use case we will explore focuses on mapping and monitoring urban growth and road infrastructure. This use case involves the use of a drone hangar and a drone operating within the EagleArca platform environment. **Purpose and Benefits** The main objective of this use case is to support urban planning and the efficient management of the territory through continuous mapping and monitoring of urban growth and road infrastructure. Through the EagleArca platform and the integration of drone missions, it is possible to acquire up-to-date, high-resolution data on urban areas, enabling the identification of settlement expansion, the evolution of the road network and land use dynamics. Using the Mission Planner, drones can perform automated flights over urban and peri-urban areas to collect detailed imagery. These observations allow urban planners and public authorities to analyze urban development, identify unplanned expansion, monitor the condition of road infrastructure and assess potential mobility-related issues. This information supports a better understanding of how urban areas evolve over time, facilitating the analysis of settlement expansion, infrastructure development and land use dynamics. By providing objective and georeferenced data, this approach contributes to the study of urban growth processes and supports planning activities related to mobility, land management and infrastructure development. **Image Acquisition Using the Drone** The first step consists of surveying the urban landscape from above using a drone to perform an initial assessment of the area of interest. During this phase, it is possible to identify the boundaries of urban and peri-urban areas, major road infrastructure, built-up zones and areas undergoing expansion, as well as critical elements that may require further monitoring, such as unplanned urbanization, traffic congestion or degraded areas. This type of aerial observation can be carried out through manual drone flights, provided that the operator holds the appropriate certification and operates in compliance with current aviation regulations. However, data acquisition can also be performed through automated missions managed directly within the EagleArca platform. Once the preliminary observation is completed, the drone hangar connected to the platform can be used as the operational base for automated flights. During the mission, the drone captures high-resolution optical and, where necessary, thermal imagery, providing a detailed view of urban morphology, the road network and land-use dynamics. These surveys can be repeated over time to monitor urban growth and changes in infrastructure, enabling the identification of significant variations and supporting comparative analyses for land-use planning and sustainable urban management. **Drone Mission Creation** A new drone mission can then be created by entering the required information, including mission name, mission type, mission unit and flight parameters such as take-off altitude, speed and global altitude. Once the mission is created, it is necessary to define the drone’s flight path by placing a set of waypoints on the map and specifying the actions the drone will perform at each point, such as capturing images. These waypoints represent reference points that guide the drone along its flight path across the monitored area. **Definition of Waypoints** Waypoints define the drone’s operational path and the altitude it follows during the mission. For each waypoint, it is possible to adjust flight altitude, camera angle and zoom level. To insert waypoints, the Draw tool available in the platform toolbar can be used. By clicking directly on the map, points can be placed to guide the drone along the desired trajectory.Waypoints are automatically numbered by the system and can be repositioned if needed, allowing the path to be adapted to the specific characteristics of the area. If the analysis needs to focus on a specific point of interest, such as a key road or a particular zone, a waypoint can be placed near that location. This allows the drone to capture detailed imagery of that specific point during the mission. Through this process, the urban context can be observed in a structured and repeatable way, enabling the collection of organized visual information on urban growth and road infrastructure over time. **Add Actions to Waypoints** After defining the waypoints, it is possible to configure one or more actions that the drone automatically performs when reaching each point during the mission. To assign these actions, move the cursor over one of the Action Cards in the left panel of the platform and click the Action button. Through this function, actions such as image acquisition can be assigned to the drone. All media collected during the mission are automatically stored within the platform and can later be reviewed, analyzed or exported when needed. **Start the Mission** Once the flight path has been defined and the desired actions have been configured, the automated mission can be started. By clicking the *Start Mission* button, the drone begins its flight following the planned route and automatically executes the actions associated with each waypoint. **Add Specifications to Waypoints** Additional information related to the monitored urban areas can be recorded directly within the EagleArca platform by adding descriptive data fields. These fields allow the organization of territorial information associated with the observed areas, such as land use, types of infrastructure, road conditions, planned interventions and notes related to critical issues or urban transformation processes. By storing this information within the platform, it is possible to maintain a structured record of urban evolution over time, supporting the monitoring of territorial development and facilitating future planningand analysis activities. **Satellite and Ground Verification** Satellite data can extend the analysis beyond drone surveys, providing a continuous and large-scale view of land-use changes over time. These observations support the identification of urban expansion patterns, variations in vegetation cover and changes in surface conditions across wide areas. At the same time, ground inspections performed with the robot dog allow the verification of specific infrastructure elements, enabling a more detailed assessment of roads, construction sites or degraded areas identified during aerial analysis. This integrated approach combines large-scale observation with localized inspection, improving the overall understanding of urban dynamics. Let us now move to the next use case. **Urban Safety Monitoring and Emergency Management** The second use case we will explore focuses on urban safety monitoring and emergency management. This use case involves the use of a drone hangar, a drone operating within the EagleArca platform environment and a robot dog, supporting the timely detection of critical situations and the coordination of response actions both from the air and at ground level. **Purpose and Benefits** The main objective of this use case is to support urban safety monitoring and the effective management of emergencies through continuous data acquisition and dynamic surveillance of the territory. Through the EagleArca platform and by integrating drone missions and robot dog operations, it is possible to collect up-to-date information both from the air and at ground level, enabling the timely detection of risks, critical events and anomalies in urban areas. Using the Mission Planner, the drone can perform automated flights over urban areas and sensitive infrastructure to acquire images and data useful for assessing safety conditions. At the same time, the robot dog can operate at ground level in complex or hard-to-reach environments, supporting close-range inspections and real-time data collection. The collected data allow public authorities, security operators and emergency teams to monitor events such as accidents, fires, flooding or hazardous situations, improving response capacity and operational coordination. This approach supports more effective emergency management by enabling the identification of operational priorities, optimizing resource allocation and reducing response times. By providing objective, up-to-date and georeferenced data, the platform supports decision-making processes and offers a more comprehensive and integrated view of urban safety conditions compared to traditional approaches, contributing to enhanced resilience and community protection. **Image Acquisition Using the Drone** The first step consists of acquiring up-to-date information on the urban environment to support emergency management activities. Through the EagleArca platform, drone missions enable both continuous monitoring of urban areas and targeted data acquisition in response to specific events. Regular aerial surveys allow the ongoing observation of the territory, helping to detect early signs of potential risks or anomalies. When a critical situation occurs, data acquisition can be immediately focused on the affected area, supporting a rapid assessment of the event. During these operations, the drone captures images and data that provide a clear overview of the situation, allowing operators to understand the extent of the event and how it is evolving. When additional detail is required, ground-level inspections can complement aerial observations through the use of the robot dog, enabling close-range analysis in areas that may be difficult to access or potentially hazardous. By combining continuous monitoring with targeted inspections, it becomes possible to obtain a more complete and timely understanding of urban safety conditions. **Drone Mission Creation** As described in the previous use case, a drone mission can be created by entering the required information and defining a flight path through a set of waypoints and their associated actions. In this case, the mission is configured to support both continuous monitoring activities and targeted inspections in response to specific events, focusing on critical urban areas and situations that require immediate assessment. **Ground Inspection with the Robot Dog** Urban area inspection and the assessment of safety conditions can be carried out directly at ground level using the robot dog. Unlike drones, which provide a top-down overview of large portions of the urban environment, the robot operates at street level, enabling close-range and detailed observations of specific areas, infrastructure or emergency scenarios. Equipped with onboard cameras and sensors, the robot can capture images and environmental data useful for documenting critical situations such as structural damage, obstacles affecting mobility, debris or potentially hazardous conditions for public safety. In this way, the robot plays a complementary role to the drone. While aerial surveys provide an overall view and help identify areas of interest, ground-level inspections enable targeted and in-depth analysis directly on site, supporting more accurate verification and assisting response teams during operations. **Robot Dog Mission Creation** The creation of a robot dog mission follows a process similar to that used for drone missions, starting from the definition of the basic mission parameters within the platform. In this case, however, the mission is configured for ground operations, focusing on navigation across the urban environment rather than aerial coverage. The route is planned to allow the robot to safely reach specific locations that require close-range inspection, taking into account obstacles, narrow passages and potentially hazardous conditions. Unlike drones, which operate over wide areas, the robot dog moves at street level and is used to approach precise points of interest, such as areas affected by incidents or damaged infrastructure. This approach enables targeted data collection directly on site, supporting detailed inspections and assisting response teams in managing critical situations more effectively. **Add Actions to Waypoints** As with drone missions, the robot dog follows a path defined by a set of waypoints placed on the map. In this case, these points represent both navigation steps and inspection locations, corresponding to critical areas such as accident sites, damaged infrastructure or high-risk zones. Specific actions can be associated with each waypoint, such as capturing images or collecting visual and environmental data to document site conditions. As in drone missions, the images and data collected during the mission are automatically stored within the platform, where they can be reviewed and analyzed to support emergency management activities and post-event assessments. **Start the Mission** Once the route and the associated actions have been defined, the robot dog mission can be started. The robot autonomously follows the planned path, reaches the predefined waypoints and executes the configured actions, collecting images and data from the inspected areas. As with drone missions, the collected data is made available within the platform, where it can be analyzed to assess the conditions of the inspected locations and support emergency management activities. **Satellite Support for Risk Assessment** In addition to real-time operations with drones and robot dogs, satellite data provide valuable environmental context to support the interpretation of critical events and risk scenarios. For instance, Sentinel-2 can be used to detect surface variations such as water accumulation or changes in land cover, while Sentinel-5P provides information on air quality and pollutant concentration. These data help to better understand the environmental conditions in which an event occurs, supporting the identification of contributing factors and improving both preparedness and post-event analysis. Let us now move on to the final use case. **Environmental Monitoring and Urban Quality** The final use case focuses on environmental monitoring and the assessment of urban quality. This scenario involves the use of a drone hangar and a drone integrated within the EagleArca platform, combined with satellite data from Sentinel-2 and Sentinel-5P. Through periodic drone-based photogrammetric surveys and the integration of satellite observations, it is possible to monitor changes in land cover, vegetation conditions and air quality in urban areas. This approach enables the analysis of how urbanization impacts the environment, including effects on land cover, vegetation conditions, air quality and microclimate. By combining periodic drone surveys with satellite observations, it becomes possible to monitor environmental dynamics over time and identify trends that may affect urban livability. **Purpose and Benefits** The main objective of this use case is to support environmental monitoring and improve urban quality through the continuous analysis of environmental conditions in urban areas. Through the EagleArca platform, drone missions are combined with satellite data to provide up-to-date and high-resolution information on the territory. This enables the monitoring of changes in land cover, vegetation conditions and air quality over time, allowing the observation of phenomena such as urban vegetation variation, surface transformation and pollution trends in urban areas. Drone-based surveys can be performed periodically to collect detailed local data, while satellite observations provide a broader and more continuous view of environmental dynamics. The integration of these data sources allows observations at different scales, supporting a more complete understanding of how urbanization impacts the environment. These insights enable public authorities, planners and decision-makers to identify critical areas and define targeted interventions, contributing to more sustainable urban planning and improved quality of life in cities. **Satellite and Ground Observations** In the context of environmental monitoring and urban quality, satellite data available within the EagleArca platform play a key role in complementing drone-based observations. By accessing data from Sentinel-2 and Sentinel-5P, it is possible to obtain a continuous and large-scale view of the urban environment. These datasets enable the monitoring of parameters such as land cover, vegetation conditions, surface changes and air quality, supporting the analysis of environmental dynamics over time. When combined with drone-acquired data, satellite observations provide a multi-scale perspective, linking broad territorial analysis with detailed local inspection. Ground-based inspections can further support this process by enabling the verification of specific locations, improving the reliability of the overall analysis. **Ground-Level Validation and Inspection** While satellite and drone data provide a comprehensive overview of environmental conditions, ground-based inspections allow a more detailed verification of specific locations. Robot dogs can be deployed to collect close-range data in targeted areas, enabling the assessment of localized phenomena such as vegetation stress, surface degradation or the presence of pollutants. This validation step helps confirm the interpretation of aerial and satellite observations, improving the reliability of environmental analysis and supporting more accurate intervention planning. **Conclusion** The presented use cases show how the integration of Earth observation data, digital platforms and robotic systems can support the evolution of urban planning processes. The combined use of drones, robot dogs and satellite data enables a more complete, up-to-date and multi-scale understanding of the urban environment. These technologies allow public authorities and planners to monitor urban growth, assess infrastructure conditions, manage emergencies and analyze environmental dynamics more effectively. The availability of objective and georeferenced data supports more informed decision-making, enabling targeted and timely interventions. At the same time, this integrated approach improves operational efficiency, reducing the time and costs of monitoring activities while increasing the safety of field operations. Overall, these use cases highlight the role of advanced digital technologies in supporting more sustainable and resilient urban environments. See you in the next video!