Sentinel-1 imagery: Reliable radar data for your projects

Don’t let clouds and atmospheric disturbances hold you back. With Sentinel-1 imagery on EOSDA LandViewer, you get frequently updated radar views with wide coverage.

Spatial resolution

10 m (SM mode), 20 m (IW mode), 100 m (EW mode)
Scene size

80 km (SM mode), 250 km (IW mode), 400 km (EW mode)
Revisit time

Every 6 days
Data archives

From 2014 to the present
Polarization channels

VV, VH, HH, HV
Analytical tools

not available

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How to get Sentinel-1 satellite imagery on EOSDA LandViewer

Set your area of interest

Choose the area you want to monitor. You can either search for a place and draw the area of interest (AOI) directly on the Sentinel-1 map or upload an existing file from your device.

Filter results for better matches

On the filter panel, first switch the Source to Active sensors. Then use filters like date, sensor, polarization, and AOI coverage to quickly find the Sentinel-1 imagery you need.

Pick the most suitable scene

Browse through the filtered results and choose the scene that best matches your project needs.

Export or analyze the scene online

Export your chosen Sentinel-1 data in GeoTIFF, KMZ, or JPEG for further work in GIS software (QGIS, ArcGIS, etc.). You can also analyze them directly on EOSDA LandViewer using band combinations.

Get automatic updates

Can’t find the right image yet? Set up email notifications and get updated when new Sentinel-1 data becomes available for your area.

choose relevant Sentinel-1 data for download or analysis

download Sentinel 1 data in the format you need

get email notifications on Sentinel-1 imagery updates

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Make sense of Sentinel-1 imagery using EOSDA LandViewer

Band combinations

Sentinel-1 radar data on EOSDA LandViewer comes with both single polarization layers and preset band combinations that help distinguish land and water, green cover, and built-up areas. Using band combinations helps solve practical tasks in farming and forestry, as well as infrastructure and environmental monitoring. For more tailored work, there’s also the option to set up custom band combinations.

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Practical uses of Sentinel-1 imagery analytics

Move the slider to see changes

Sentinel-1 IW mode: flooded areas appear as dark blue & black hued zones

Sentinel-1 IW mode: areas before flood appear green

Post-flood analysis

Ahr Valley, Germany
Ratio (VV,VH,VV/VH)
Jul 13, 2021 – Jul 16, 2021

single-band Sentinel-1 imagery with reduced vegetation density due to deforestation

single-band image of a mixed-use landscape dominated by forest canopy

Deforestation monitoring

Porto Velho, Rondônia, Brazil
Single band VH
Feb 15, 2016 – Jan 13 2020

radar data shows fragmented ice masses in the lagoon

Tracking iceberg calving

Iceberg A68, Antarctic Peninsula
Single band HH
Jul 18, 2017 – Jul 24, 2017

post-flood satellite image with floodwaters overtaking farmland and urban areas near the lagoon

pre-flood satellite image with healthy vegetation, urban zones, and a clearly defined lagoon system

Monitoring coastal urban flooding

Venice Lagoon, Italy
Ratio (VV,VH,VV/VH)
Nov 5, 2019 – Nov 15, 2019

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Industries where Sentinel-1 data brings the most value

Agriculture

Sentinel-1 data allows for continuous monitoring of croplands, even through clouds, so that farmers have enough data for making decisions.

Tracking crop growth stages and detecting changes in vegetation structure.
Measuring soil moisture levels to support irrigation management.
Monitoring flooded or waterlogged fields during the growing season.
Detecting tillage, planting, and harvesting activities.
Assessing storm or drought damage to agricultural land.

Construction and urban planning

With Sentinel-1 imagery city planners and developers can effectively detect structural changes, monitor land stability, and map expanding urban areas.

Detecting new construction sites and monitoring urban expansion.
Measuring ground subsidence in cities and industrial areas.
Assessing the stability of critical structures such as bridges, dams, and transport corridors.
Identifying changes in land cover during large-scale development projects.
Supporting compliance checks and land-use regulation monitoring.

Environment and climate change

Time-series Sentinel-1 data analysis is a key instrument for monitoring Earth’s changing environment and providing early-warning insights.

Mapping deforestation and forest degradation over time.
Detecting burned areas and tracking wildfire impact.
Monitoring glaciers, icebergs, and seasonal snow cover.
Observing coastal erosion and storm surge impacts.
Tracking wetland dynamics and long-term habitat changes.

Find more satellite images on EOSDA LandViewer