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Discover how satellite imagery resolution (GSD) works, compare key commercial providers from Planet to Maxar, and navigate regulatory and licensing rules.

Satellites provide an unbroken, global perspective on climate change that local stations cannot match. By tracking sea levels, ice mass, and CO2 emissions over decades, space missions deliver the reliable data needed to identify long-term environmental trends.

Orbital altitude is a fundamental mission-design choice shaping satellite coverage, latency, power, constellation size, radiation exposure, and end-of-life strategy. This article compares Geostationary Earth Orbit (GEO), Low Earth Orbit (LEO), and Medium Earth Orbit (MEO), explaining their key advantages, limitations, applications, and architectural trade-offs in satellite communications, Earth observation, and navigation.

Political borders are invisible lines on paper yet from space, some become startingly real. Decades of different farming practices, urban planning, and land management on either side of a frontier can reshape the landscape so dramatically that the border itself becomes visible. This article compares five striking examples using recent satellite imagery: the US–Mexico border, Israel and Egypt, North and South Korea, and China's borders with Kazakhstan and Russia.

Discover how frequently Google Maps updates its satellite imagery and why it may not meet the needs of time-sensitive projects. Learn alternatives for accessing fresh, high-resolution data on demand.

What Is Satellite Imagery? Satellite imagery refers to pictures of Earth captured by sensors mounted on satellites orbiting the planet. These sensors detect reflected light, emitted radiation, or other wavelengths to record what is happening on the surface below. The result is data—often visual, sometimes multispectral or thermal—that can be analyzed to understand land use, vegetation, infrastructure, water bodies, environmental change, and much more.

This article explains the differences between Digital Elevation Models (DEMs), Digital Terrain Models (DTMs), and Digital Surface Models (DSMs) in satellite Earth observation. It covers their definitions, applications, and data sources, including optical satellites, radar, and LiDAR. By clarifying these concepts and their specific uses, readers will better understand how to select the right elevation model for urban planning, forestry, hydrology, renewable energy, and disaster management.

Satellite image resolution determines how much detail a satellite can capture—from broad environmental patterns to fine-scale urban features. Understanding the differences between low and high resolution helps professionals choose the right data for climate monitoring, urban planning, agriculture, and disaster response.

Satellites and remote-sensing technologies are revolutionizing how we observe and understand our planet. This glossary breaks down essential terms - from NDVI and SAR to LEO orbits and Sentinel satellites-making it easier to navigate the world of Earth observation, geospatial analysis, and AI-powered mapping.