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Satellite imagery has long been viewed as an irrefutable source of truth. Whether documenting wildfires, tracking troop movements, or exposing human rights abuses, these images have become critical tools for researchers, governments, and NGOs alike. Their perceived objectivity stems from the high costs and technical expertise involved in capturing them – typically by trusted institutions or commercial providers.

In March 2025, South Korea faced one of the most destructive wildfire outbreaks in its history. Sentinel-2 satellite imagery using SWIR and NIR channels reveals the extent of the 170,000-hectare disaster, with regions near Andong, Uiseong, and Yeongyang severely affected.

With the help of satellite images and AI, local governments can now detect unregistered buildings, update spatial data and tighten the tax system. The future of property records begins... in space.

Where to find satellite images? Access to satellite images has never been easier! With OnGeo Intelligence, you can check the image of any place on the map in a few moments. This tool is ideal for landowners, investors and anyone who wants to see their land from a satellite perspective.

High-resolution satellite imagery from Maxar Technologies shows the widespread devastation in Myanmar following a 7.7-magnitude earthquake. See before-and-after views and learn how this open data is aiding relief efforts.

Spectral Indices enhance remote sensing by analyzing satellite imagery to monitor vegetation, water, soil, and urban areas. Using spectral bands like NIR, SWIR, and visible light, they support agriculture, climate studies, and urban planning.

Why SWIR Matters in Remote Sensing Short-wave infrared, or SWIR, refers to a portion of the electromagnetic spectrum typically ranging from 1.0 to 2.5 micrometers. SWIR imaging penetrates smoke, detects active fires, and aids disaster response.