Remote Earth sensing addresses a critical need in urban planning and management by providing comprehensive and precise data about the Earth's surface and atmosphere. This technology helps to tackle challenges such as urban sprawl, environmental degradation, and disaster response. By offering detailed insights into land use, vegetation health, air quality, and infrastructure conditions, remote Earth sensing enables cities to manage resources more efficiently and plan for sustainable growth.
Remote Earth sensing, often called remote sensing or Earth observation, involves using satellites, drones, and other airborne instruments to capture images and data about the Earth's surface. These instruments employ various technologies, including optical imaging, radar, and LiDAR, to collect information across different wavelengths and dimensions. The data gathered are then processed and analysed to produce actionable intelligence for urban planners, environmental scientists, and policymakers.
By providing real-time data and long-term trends, this technology enables cities to accurately monitor changes in their environment and infrastructure. For instance, remote sensing can detect heat islands in urban areas, allowing for targeted interventions to improve cooling and reduce energy consumption. It also plays a crucial role in disaster management by offering early warnings and damage assessments during events such as floods, earthquakes, and hurricanes.
Moreover, remote Earth sensing supports smart city initiatives by integrating with other technologies like Internet of Things (IoT) devices and Geographic Information Systems (GIS). This integration facilitates the creation of dynamic, data-driven models of urban environments, which can predict traffic patterns, optimise public transportation routes, and manage utilities more effectively. As cities grow and face increasing pressures from climate change and population density, this solution will be indispensable in creating resilient and adaptive urban ecosystems.
Leads the EAGLE-1 mission and the SAGA program to build a European quantum communication infrastructure in space.
A leading provider of global daily earth data, developing the Tanager hyperspectral satellite constellation.
Specializes in high-resolution remote sensing of greenhouse gas emissions from space.
Provides commercial Synthetic Aperture Radar (SAR) satellite data.
Provides high-resolution Earth imagery and geospatial analytics.
Provider of on-demand, high-resolution SAR Earth observation data.
Germany · Startup
Uses satellite data to monitor large-scale infrastructure networks.
Descartes Labs
United States · Company
Geospatial intelligence platform automating the analysis of sensor data.
Provides high-resolution aerial imagery and geospatial content.
Environmental intelligence company using satellite imagery and AI.
Article
Advances in Satellite-Based Monitoring of Urban Emission Sources and Air Quality: A ReviewWater, Air, & Soil Pollution · Jan 7, 2026
Synthesizes two decades of satellite remote sensing advances for monitoring urban air emissions, including NO2, PM, and CO2, highlighting its role in air quality management and policy.
Article
Airborne and Spaceborne Hyperspectral Remote Sensing in Urban Areas: Methods, Applications, and TrendsRemote Sensing · Sep 8, 2025
This systematic review examines methods and trends in airborne and spaceborne hyperspectral remote sensing specifically for urban areas, addressing applications in material mapping and environmental monitoring.
Report
Urban Development - NASA ScienceNASA · Nov 21, 2025
Details how Landsat data captures patterns of urban growth, heat island effects, and impervious surface areas to assist city planners in sustainable development.
Paper
Assessing urban herbaceous plant biodiversity using drone remote sensing: the trade-offs of spatial resolutionUrban Ecosystems · Jan 28, 2026
Investigates the use of drone-mounted RGB sensors to estimate urban plant biodiversity, analyzing how spatial resolution affects the detection of taxonomic and structural diversity in city green spaces.
Paper
A novel image fusion method based on UAV and Sentinel-2 for environmental monitoringScientific Reports · Jul 26, 2025
Proposes a fusion method combining high-resolution UAV imagery with Sentinel-2 satellite data to enable detailed, long-term environmental monitoring in specific areas.
Article
Advancing operational global aerosol forecasting with machine learningNature · Mar 4, 2026
Describes a machine-learning-driven system (AI-GAMFS) for global aerosol forecasting that improves predictions of aerosol optical depth and dust components, essential for urban air quality management.
Article
Applications of Remote Sensing Imagery for Urban Areasmdpi.com
Article
Chapter 4: Remote Sensing Technologiesonlinepubs.trb.org
Remote sensing provides digital information on land and earth features that can be combined with spectral analysis and GIS modeling to create a powerful screening tool for transportation corridor or regional evaluation. Remote sensing can quickly and cost-effectively categorize and quantify land cover types (wetlands, crop lands, forested lands, etc.). When combined with topographic, environmental constraint, geological, and planimetric information, this data also can be used for quantitative description and evaluation of plan or project alternatives. Combining remote sensing and GIS capabilities offers the ability to present plan or project scenarios in a three-dimensional environment, providing decisionmakers and the public with a clear picture of potential impacts.
Article
Remote sensing plasticsnature.com
Plastic pollution is a large and growing problem for the world’s oceans. These petroleum-derived materials degrade slowly, threatening marine life and ecosystem processes. Plastic particles often coalesce into notorious patches in the upper 0.5 metres of ocean water, but the distribution of these patches on the marine surface and over time is unclear.
Article
What is Remote Sensing? | EarthDataearthdata.nasa.gov
Tutorial on remotely-sensed data, from sensor characteristics, to different types of resolution, to data processing and analysis.
Article
Visualization of real-time monitoring datagraphic of urban environmental qualitylink.springer.com
Quality of urban environment directly affects people health, and it is important to understand the real-time status of urban air quality. Air quality monitoring, data analysis, and visualization can grasp the concentration data of air pollutants in cities. In view of the current air quality monitoring using digital displays, it is difficult for users to intuitively determine the air pollution level with unsatisfied interaction mode of the data query. Using the real-time monitoring data of 23 observation points in Beijing, the work based on Google Earth applied Keyhole Markup Language (KML) for the visualization of air monitoring data. The interactive query makes it easier for users to query air quality, and gradually varied color can visually highlight the air quality level. Visualization of data has stronger expression (more images and more intuitive) than the original data table, which is beneficial for further analysis of data.
Article
What is Remote Sensing? The Definitive Guidegisgeography.com
Remote sensing is the science of obtaining the physical properties of an area without being there. It allows users to capture, visualize, and analyze objects and features on the Earth’s surface. By collecting imagery, we can classify it into land cover and other types of analyses.
