Sentinel Assistant

Satellite answers for your fields, forests and towns

Ask in plain language. Sentinel Assistant picks the right satellite images, runs the analysis and puts the result on your map. You don't need GIS software or a remote-sensing team.

Map analysis currently covers Czechia, Slovakia and the border regions, 47.7–51.2° N, 11.8–22.6° E

Map workstation
48.37° N 17.71° E
Vegetation (NDVI)
no vegetationvery dense
Compare vegetation on the fields east of Trnava, June against September.
I added a vegetation layer from a Sentinel-2 image taken on 14 September with 3% cloud cover. Most parcels dropped from dense to sparse after the harvest. The forest strip in the north-east hasn't changed.
Layer added: Vegetation (NDVI)Chart: June vs. September
Illustration. The map is a simulated landscape, not real imagery.
91 PB
of Copernicus data online, end of 2025
Since 2015
Sentinel-2 imagery, Sentinel-1 radar since 2014
Every 2–5 days
a new Sentinel-2 image of the same place, cloud permitting
Since 1940
hourly ERA5 climate records

Archive figures are global. Sources: Copernicus Data Space Ecosystem annual report 2025, ESA, ECMWF.

From a question to a map in one conversation

The assistant does the work a remote-sensing analyst would do, step by step, and shows you each result.

  1. Ask

    Type a question, draw an area on the map or click a place. Your current map view is sent with every question.

  2. Plan

    The assistant chooses the satellite, the dates and an acceptable cloud cover. If something is missing, it asks you before going further.

  3. Analyse

    It searches the image catalogues, computes indices and pulls weather and climate records for the same place and time.

  4. See it on the map

    Results arrive as map layers, charts and cards. Export a PDF report to share with your team or client.

See a question become a map, a card and a report

Pick an example and step through it: the question, the assistant's plan, the data it fetches, the result on the map and the PDF you can share.

Flood in Krnov, September 2024

ExampleSentinel Assistant

Assistant

Show where the Opava flooded around Krnov in mid-September 2024, how much rain fell and how many people live in the area.

I added radar layers for 3 and 15 September 2024, a true-colour and a water layer for 18 September, and the card “Krnov: flood, September 2024”. On the 15 September radar, dark areas along the Opava mark strong change, covering about 3 % of the analysed area. Most of the rain fell between 12 and 15 September.

Show where the Opava flooded around Krnov in mid-September 2024, how much rain fell and how many people live in the area.

Layers

No layers yet.

Krnov flood: map layer
smooth (water, roads)fields, grassrough (buildings, forest)
smooth (water, roads)fields, grassrough (buildings, forest)
dry landmoistdeep water
Krnov: Radar (Sentinel-1), satellite image from 15 Sep 2024

Krnov: flood, September 2024

Radar change between 3 and 15 September, rainfall and residents for the analysed area.

Area with strong radar change
3.1 %
That is about
16 km²
Rainfall 12–16 Sep (ERA5)
250 mm
Residents in the area (WorldPop)
46,000
Lowest point
289 m
Projected change in mean precipitation, 2041–2070
+0.1 mm/day
Chart data: Rainfall per day (ERA5)
Rainfall per day (ERA5)
10 Sep 20240 mm
11 Sep 20242 mm
12 Sep 202437 mm
13 Sep 202472 mm
14 Sep 202485 mm
15 Sep 202447 mm
16 Sep 20249 mm
17 Sep 20241 mm

Illustration. The images are real Copernicus Sentinel scenes of each place. The numbers, charts and answers are examples, not measured results.

During Storm Boris, the Copernicus Emergency Management Service mapped more than 56,000 hectares of flooding across seven countries.

Contains modified Copernicus Sentinel data 2024

Behind the scenes The app doesn't show this. While it runs, you see “Looking at the data…”.

The assistant's plan MAIN AGENT PROMPT

Goal
Map the September 2024 flood around Krnov, with rainfall and the number of residents.
Area
Krnov and the Opava valley, 17.60–18.00° E, 49.96–50.12° N
Time range
1–10 September 2024 (before), 15–17 September 2024 (after)
Data
Sentinel-1 radar, Sentinel-2, ERA5 rainfall, CMIP6 projections, WorldPop, SRTM elevation
Processing
Radar change before and after; ERA5 rainfall; residents and elevation for the area
Outputs
Radar, true-colour and water layers; one card with a rainfall chart

Tools the assistant calls: done

  1. Find Krnov on the mapmap_geocode
  2. Check which radar and optical images existsentinel_catalog
  3. Add radar, true-colour and water layersmap_add_satellite_layer ×4
  4. Compare radar before and after the floodsentinel1_analytics
  5. Get ERA5 rainfall for 10–17 Septembercds_era5_timeseries
  6. Check the projected change in precipitationcds_projections_change_signal
  7. Count residents in the areaghs_pop
  8. Sample the elevationopentopo
  9. Put the numbers on a cardmap_add_card
  10. Zoom the map to Krnovmap_fly_to

Report: Flood in Krnov, September 2024

  1. Flood extent from radar
  2. The area after the flood
  3. Rainfall, residents and elevation

About 3 % of the analysed area changed strongly between 3 and 15 September, mostly along the Opava. Rainfall peaked on 14 September.

Fire scar near Hřensko, 2022 to 2026

ExampleSentinel Assistant

Assistant

Show the burn scar near Hřensko from the 2022 fire and how the forest looks there now.

I added burn-index layers for 22 June and 5 September 2022, a true-colour image from 5 September 2022, a vegetation layer for 15 August 2026 and the card “Hřensko: burn scar and regrowth”. On the September 2022 layer, the scar east of the Elbe shows orange to dark red. This August the same area is green again, slightly less dense than the forest around it.

Show the burn scar near Hřensko from the 2022 fire and how the forest looks there now.

Layers

No layers yet.

Hřensko fire scar: map layer
no vegetationmoderatevery dense
severely burnedburnedhealthy vegetation
severely burnedburnedhealthy vegetation
Hřensko: Burned areas (NBR), satellite image from 5 Sep 2022

Hřensko: burn scar and regrowth

Burn index before and after the July 2022 fire and vegetation in August 2026, for the analysed area.

Mean NBR change, June to September 2022
−0.09
Share where NBR fell by more than 0.2
7.8 %
That is about
10 km²
Mean NDVI, August 2026
0.72
Summer 2022 against the 1991–2020 mean
+1.7 °C
Chart data: Mean NBR in the analysed area
Mean NBR in the analysed area
Jun 20220.47
Sep 20220.38
Aug 20260.45

Illustration. The images are real Copernicus Sentinel scenes of each place. The numbers, charts and answers are examples, not measured results.

The July 2022 fire burned more than 1,000 hectares on the Czech side.

Contains modified Copernicus Sentinel data 2022–2026

Behind the scenes The app doesn't show this. While it runs, you see “Looking at the data…”.

The assistant's plan MAIN AGENT PROMPT

Goal
Map the 2022 burn scar in Bohemian Switzerland and show the regrowth since.
Area
Hřensko and Bohemian Switzerland National Park, 14.20–14.40° E, 50.84–50.92° N
Time range
June 2022 (before), September 2022 (after), August 2026 (now)
Data
Sentinel-2, ERA5 temperature
Processing
Burn index (NBR) before and after; vegetation (NDVI) now; summer 2022 temperature against 1991–2020
Outputs
Burn-index, true-colour and vegetation layers; one card with a chart

Tools the assistant calls: done

  1. Find Hřensko on the mapmap_geocode
  2. Find cloud-free Sentinel-2 imagessentinel_catalog
  3. Add burn-index, true-colour and vegetation layersmap_add_satellite_layer ×4
  4. Compare the burn index before and after the firegeo_insights
  5. Measure vegetation this Augustgeo_insights
  6. Compare summer 2022 temperature with 1991–2020cds_era5_compare_periods
  7. Put the numbers on a cardmap_add_card
  8. Zoom the map to the burn scarmap_fly_to

Report: Burn scar near Hřensko, 2022–2026

  1. The burn scar after the fire
  2. Regrowth in 2026
  3. Burn index and summer temperature

The scar is clearly visible in September 2022. By August 2026 vegetation covers most of it again, though less densely than the surrounding forest.

Greenery around Letná and Stromovka, Prague, August 2026

ExampleSentinel Assistant

Assistant

Where is greenery weakest around Stromovka and Letná this August, and where does the surface get hottest?

I added vegetation, water and surface-temperature layers for mid-August 2026, a true-colour image and the card “Letná and Stromovka: greenery, August 2026”. Stromovka and the slopes above the river stay dense green, while the Letná plain and Holešovice are sparse or bare. The temperature layer is coarse (1 km) and is warmest over the built-up blocks.

Where is greenery weakest around Stromovka and Letná this August, and where does the surface get hottest?

Layers

No layers yet.

Prague greenery: map layer
no vegetationmoderatevery dense
dry landmoistdeep water
< -10 °C15 °C> 40 °C
Prague: Vegetation (NDVI), satellite image from 14 Aug 2026

Letná and Stromovka: greenery, August 2026

Vegetation classes from Sentinel-2 on 14 August, surface temperature from Sentinel-3 on 13 August.

Mean NDVI
0.34
Dense vegetation (NDVI over 0.5)
27 %
Little or no vegetation (NDVI under 0.2)
38 %
Mean daytime surface temperature (1 km)
36 °C
Summer rainfall against 1991–2020
−28 %
Chart data: Share of the area by vegetation (NDVI)
Share of the area by vegetation (NDVI)
under 0.238 %
0.2–0.314 %
0.3–0.521 %
over 0.527 %

Illustration. The images are real Copernicus Sentinel scenes of each place. The numbers, charts and answers are examples, not measured results.

Contains modified Copernicus Sentinel data 2026

Behind the scenes The app doesn't show this. While it runs, you see “Looking at the data…”.

The assistant's plan MAIN AGENT PROMPT

Goal
Show where vegetation is weak and where surfaces are hottest around Letná and Stromovka.
Area
Prague: Stromovka, Letná, Holešovice and the Vltava bend
Time range
1–15 August 2026; summer rainfall since June
Data
Sentinel-2, Sentinel-3 surface temperature, ERA5 rainfall
Processing
Vegetation (NDVI) in classes; water (NDWI); land-surface temperature; summer rainfall against 1991–2020
Outputs
Vegetation, water, surface-temperature and true-colour layers; one card with a chart

Tools the assistant calls: done

  1. Find Stromovka and Letná on the mapmap_geocode
  2. Find a cloud-free Sentinel-2 imagesentinel_catalog
  3. Add vegetation, water, temperature and true-colour layersmap_add_satellite_layer ×4
  4. Measure vegetation by classgeo_insights
  5. Get the surface temperature (1 km)sentinel3_analytics
  6. Compare summer rainfall with 1991–2020cds_era5_compare_periods
  7. Put the numbers on a cardmap_add_card
  8. Zoom the map to Letnámap_fly_to

Report: Greenery around Letná and Stromovka, August 2026

  1. Vegetation in August
  2. Water and wet surfaces
  3. Surface temperature and rainfall

About a quarter of the area has dense vegetation, mostly Stromovka and the slopes above the Vltava. The weakest greenery is on the Letná plain and in Holešovice, which are also the warmest surfaces.

Farmland east of Znojmo, June 2026 against June 2022

ExampleSentinel Assistant

Assistant

How does vegetation on the fields east of Znojmo in late June 2026 compare with June 2022, and was this spring drier?

I added vegetation layers for 19 June 2022 and 28 June 2026, a true-colour image and the card “Fields east of Znojmo: 2026 against 2022”. Many fields are much less green in late June 2026, and April to June was drier than in 2022. Part of the difference is timing: cereals ripen in late June, so check the true-colour image before putting it down to drought.

How does vegetation on the fields east of Znojmo in late June 2026 compare with June 2022, and was this spring drier?

Layers

No layers yet.

Znojmo farmland: map layer
no vegetationmoderatevery dense
no vegetationmoderatevery dense
Znojmo: Vegetation (NDVI), satellite image from 28 Jun 2026

Fields east of Znojmo: 2026 against 2022

Vegetation in late June and spring rainfall, 2026 compared with 2022.

Mean NDVI, 19 June 2022
0.71
Mean NDVI, 28 June 2026
0.52
Rainfall April–June 2022 (ERA5)
141 mm
Rainfall April–June 2026 (ERA5)
118 mm
Drought index (SPI), latest available
−0.8
Clay in the topsoil (0–5 cm)
24 %
Chart data: Rainfall per month (ERA5)
20222026
Apr31 mm22 mm
May52 mm47 mm
Jun58 mm49 mm

Illustration. The images are real Copernicus Sentinel scenes of each place. The numbers, charts and answers are examples, not measured results.

Contains modified Copernicus Sentinel data 2022–2026

Behind the scenes The app doesn't show this. While it runs, you see “Looking at the data…”.

The assistant's plan MAIN AGENT PROMPT

Goal
Compare crop vegetation in June 2026 and June 2022 east of Znojmo, with spring rainfall and drought.
Area
Arable land east of Znojmo, South Moravia
Time range
June 2022 and June 2026 for images; April–June of both years for rainfall
Data
Sentinel-2, ERA5 rainfall, Copernicus drought index, SoilGrids
Processing
Vegetation (NDVI) 2026 against 2022; monthly rainfall; latest drought index; topsoil properties
Outputs
Vegetation layers for both years and a true-colour layer; one card with a chart

Tools the assistant calls: done

  1. Find Znojmo on the mapmap_geocode
  2. Find cloud-free images for June 2022 and June 2026sentinel_catalog
  3. Add vegetation and true-colour layersmap_add_satellite_layer ×3
  4. Compare vegetation in 2026 with 2022geo_insights
  5. Get rainfall for April to June of both yearscds_era5_timeseries
  6. Get the latest drought indexgdo_drought
  7. Get topsoil propertiessoilgrids
  8. Put the numbers on a cardmap_add_card
  9. Zoom the map to the fieldsmap_fly_to

Report: Farmland east of Znojmo: 2026 against 2022

  1. Vegetation in June 2022 and 2026
  2. Rainfall and drought index
  3. Topsoil

Vegetation in late June 2026 is lower than in June 2022, and spring rainfall was lower too. The two images are nine days apart in the ripening season, so an early-June 2026 image would make the comparison fairer.

What you can ask about

Each topic becomes a live map layer with its own legend, the same ones you see in the app.

Vegetation

NDVI from Sentinel-2

Crop condition through the season, harvest timing, and forest stands losing vigour, at stand level rather than single trees.

no vegetationvery dense

Water

NDWI from Sentinel-2

How much of a reservoir is under water, waterlogged fields, wetlands and how far a flood has spread.

dry landdeep water

Built-up areas

NDBI from Sentinel-2

New housing, warehouses and roads appearing on the edge of towns, compared year by year.

open landdense building

Burned areas and fires

NBR from Sentinel-2, NASA FIRMS

Fire scars after a blaze, plus counts of active-fire detections per area from the last 24 hours.

unburnedseverely burned

Radar

Sentinel-1

Radar sees through cloud and at night. Use it to map floods under overcast skies when optical images are blank.

Works in any weather

Surface temperature

Sentinel-3

Urban heat islands at district scale (about 1 km), and land that dries out first in a heatwave.

< −10 °C> 40 °C

Air quality

NO₂, CO and O₃ from Sentinel-5P, OpenAQ stations

Pollution over industrial regions and cities, compared across seasons and against ground stations.

lowvery high

Weather and climate

ERA5 reanalysis, seasonal forecasts, Open-Meteo

Regional rainfall, temperature and drought for the same dates as your images (ERA5, about 25–30 km), so you can tell whether a change is weather or something else.

Shown as charts next to the map

Who it's for: questions by sector

Eight kinds of teams and questions they can ask today. Each answer arrives as map layers, a card with the numbers and, if you want, a PDF report. The links open the full scenario or a step-by-step example.

The questions are examples, not customer stories. The assistant answers when you ask; it does not watch areas in the background.

Farms, agri-lenders and land funds

Check fields from your desk before you drive out, defer a loan or buy land.

  • You ask
    Which fields east of Znojmo are weaker this June than in June 2022, and was this spring drier?
    You get
    Vegetation layers for both years, a card with spring rainfall and the current drought index, and topsoil data.See this example step by step
  • You ask
    Did crops around Dunajská Streda do worse this July than last July, and was it drier than usual?
    You get
    A vegetation layer and a card with the change against last July, the rainfall deficit against the 1991–2020 normal and the current drought index.See the use case
  • You ask
    How did vegetation on the farmland east of Znojmo compare in the 2022, 2024 and 2026 seasons, and how dry were those years?
    You get
    Vegetation layers per season, a card with rainfall against the 1991–2020 normal, topsoil data and a PDF for the investment committee.See the use case

Insurers and loss adjusters

Decide which claims to inspect first after hail, flood or storm, before anyone travels.

  • You ask
    Where did vegetation drop after the hailstorm on 18 June around Břeclav and Valtice?
    You get
    Vegetation layers from just before and after the storm, a card with the share of the area that dropped sharply, and rainfall for the storm days.See the use case
  • You ask
    Where did the Opava flood around Krnov in mid-September 2024, how much rain fell and how many people live there?
    You get
    Radar layers that see through cloud, true-colour and water layers, a rainfall chart, residents in the area and a PDF for the claims file.See the use caseSee this example step by step
  • You ask
    How many days above 30 °C and above 30 mm of rain has the Nitra industrial zone had since 2000, and what do projections say for 2050?
    You get
    A card with hot and heavy-rain days per year and the projected change under two emission scenarios. ERA5 figures are regional (a grid of about 25–30 km), not readings at the site.See the use case

Forest enterprises and wood buyers

Map storm and fire damage, and document forest cover for an EUDR due-diligence file.

  • You ask
    Where did last week's storm knock down forest in the Vysoké Tatry between Štrbské Pleso and Tatranská Lomnica?
    You get
    NBR damage layers before and after the storm, radar change if it is cloudy, and a card with the share of the area where vegetation dropped sharply.See the use case
  • You ask
    For the forest area I've drawn near Žďár nad Sázavou, where was forest cover lost between summer 2020 and this summer?
    You get
    Layers for 2020 and today, a card with the share of strong vegetation loss and a PDF that supports your due-diligence file. It is not a compliance decision.See the use case
  • You ask
    Show the 2022 burn scar near Hřensko and how the forest looks there now.
    You get
    Burn-index layers before and after the fire, a vegetation layer showing the regrowth, and a card with summer temperature against 1991–2020.See the use caseSee this example step by step

Cities, districts and planning institutes

Sourced maps and numbers on heat islands, greenery and rainfall for adaptation plans, council papers and grant reports.

  • You ask
    Around Stromovka and Letná, where is greenery weakest this August, and where does the surface get hottest?
    You get
    Vegetation, water and true-colour layers, a coarse 1 km surface-temperature layer, and a card with summer rainfall against the 1991–2020 normal.See the use caseSee this example step by step
  • You ask
    Was summer 2026 in Brno hotter than any summer since 1991, and how many tropical days did it have?
    You get
    A chart of summer temperatures by year, the count of tropical days and a 1 km surface-temperature map of the city, ready for a PDF.See the use case
  • You ask
    How do the new wetland and retention ponds near Hodonín look today, compared with 2021 before construction?
    You get
    True-colour layers for 2021 and today, a water layer, a change card and a PDF for the project file.See the use case

Water managers and civil protection

Evidence on drought, ponds, floods and fires for reports and briefings, whenever you ask.

  • You ask
    How does rainfall on Záhorie since March compare with the 1991–2020 normal, and where is it driest?
    You get
    A rainfall anomaly map of the region, and a card with a monthly chart and the current drought index.See the use case
  • You ask
    Are the fishponds around Třeboň holding less water this September than last September?
    You get
    A water layer for this September and a card with the change in water surface against last year, from radar when it is cloudy.See the use case
  • You ask
    Have satellites detected fires around Bohemian Switzerland in the last 24 hours, and how dry and windy is it there today?
    You get
    Fire detections from the last 24 hours, counted per grid cell, a card with today's humidity and wind, the current drought index and this summer's hot days.See the use case

Universities and research institutes

Check a hypothesis or plan fieldwork before you write any download or processing code.

  • You ask
    Where on the Lipno reservoir did the water turn green between 10 and 18 December 2025, and where should we sample first?
    You get
    True-colour images for both dates and a vegetation-index layer that picks up surface scum. It shows where the colour changed, not chlorophyll or toxins.See the use case
  • You ask
    Show Spiš Castle and the fields around it this summer against summer 2020, and where vegetation looks unusual.
    You get
    True-colour images for both years, a vegetation layer, a radar view and the elevation of the hill. At 10 m you see the complex, not individual walls.See the use case
  • You ask
    How have water and vegetation on the reclaimed mine areas around Sokolov changed since 2019?
    You get
    True-colour layers for 2019 and this year, and a card with the change in vegetation and water across the area.See the use case

Energy, infrastructure and ESG teams

Screen sites and collect sourced climate figures before you pay for detailed studies.

  • You ask
    Compare terrain and current land use for sites near Komárno, Štúrovo and Levice.
    You get
    A card with elevation per site and true-colour and NDVI imagery of current land use. Good for ranking a long list; solar yield still needs PVGIS or site data.See the use case
  • You ask
    Is the upper Hron heading into a drier than normal autumn, and how did runoff compare over the last three years?
    You get
    A seasonal rainfall outlook map, an ERA5 runoff chart against the normal and the current drought index.See the use case
  • You ask
    For our plants in Plzeň and Trnava: hot and heavy-rain days since 1991, the projected change by 2050 and local NO₂.
    You get
    A card per site with trends and projections, an NO₂ satellite layer plus station counts and averages, and one PDF for the physical-risk section of a CSRD report or a customer questionnaire.See the use case

Property and land developers

A first screen of a plot and its surroundings before you commission studies.

  • You ask
    For a plot north of Trnava: how many hot and heavy-rain days since 2000, what do projections say for 2050, and how high does it sit?
    You get
    A card with hot and heavy-rain days per year, the projected change under two scenarios and the elevation range. Climate figures are regional (ERA5, about 25–30 km): for screening, not design.See the use case
  • You ask
    How has built-up land around Brno changed since 2023, and where is new construction appearing?
    You get
    Built-up layers for then and now, a change card and the population of the area.See the use case
  • You ask
    How much has our construction site near Litomyšl changed since spring?
    You get
    Radar layers for spring and now that work in any weather, a change card and a current true-colour layer. It shows change, not percent complete.See the use case

See all 26 scenarios

Use cases: farming, forestry, insurance, ESG and more

Each scenario is a question you can ask today. Pick a sector to narrow the list.

The images are real Copernicus Sentinel scenes of each place, taken on the date shown. The situations and questions are examples. Scenes marked “Outside the current analysis area” show real events from the Copernicus archive in places the assistant can't analyse yet.

Check farmland before buying it

See this example step by step
Check farmland before buying it: map layer
Znojmo: Vegetation (NDVI), satellite image from 28 Jun 2026
no vegetationvery dense
Znojmo. Sentinel-2 L2A, 28 Jun 2026, 1% cloud. Contains modified Copernicus Sentinel data 2022–2026

An agri-investment fund, for example one based in Germany, is evaluating arable land in South Moravia and wants an independent view of how productive the fields have been and how often drought hit, without relying only on the seller's yield figures.

Show how vegetation on the farmland east of Znojmo compared between the 2022, 2024 and 2026 growing seasons, and how dry those years were.

Vegetation layers for each season, a card comparing vegetation and rainfall with the 1991–2020 normal, topsoil data, and a PDF for the investment committee.

Vegetation (NDVI)Rainfall vs normalDrought indexTopsoil

Triage crop claims after a hailstorm

Triage crop claims after a hailstorm: map layer
Břeclav: Vegetation (NDVI), satellite image from 30 Jun 2026
no vegetationvery dense
Břeclav. Sentinel-2 L2A, 30 Jun 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

After a summer hailstorm, a crop insurer receives a batch of claims from vineyards and fields and wants to decide which to inspect first.

Where did vegetation drop after the hailstorm on 18 June around Břeclav and Valtice?

Vegetation layers from just before and just after the storm, a card showing where vegetation dropped sharply, and rainfall for the storm days.

Vegetation before and afterVegetation changeRainfall

Map storm damage in mountain forests

Map storm damage in mountain forests: map layer
Vysoké Tatry: True colour, satellite image from 30 Sep 2026

Close to natural colour

Vysoké Tatry. Sentinel-2 L2A, 30 Sep 2026, 0% cloud. Contains modified Copernicus Sentinel data 2025–2026

After a windstorm, a forest enterprise needs a quick overview of where stands were flattened, so it can plan salvage logging before bark beetles move in. Radar still works when it is cloudy.

Where did last week's storm knock down forest in the Vysoké Tatry between Štrbské Pleso and Tatranská Lomnica?

NBR damage layers before and after the storm, a radar change layer if it is cloudy, and a card with the share of the area where vegetation dropped sharply.

Forest damage (NBR)Vegetation changeRadar (Sentinel-1)

Find where Prague's greenery is stressed

See this example step by step
Find where Prague's greenery is stressed: map layer
Prague: True colour, satellite image from 14 Aug 2026

Close to natural colour

Prague. Sentinel-2 L2A, 14 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

A city environment department or a district office (městská část) looks after parks, lawns and street trees. After a dry summer it wants to know where vegetation is stressed, which lawns dried out and where to water or replant, and where surfaces stay dry or hot and rainwater could be held back.

Around Stromovka, Letná and the Vltava bend in Prague, where is vegetation weakest this August, which lawns have dried out, and where could rainwater be retained?

A vegetation layer for August with the weakest areas marked, a water layer showing the river and wet surfaces, a coarse 1 km heat layer for the whole city, and a card with summer rainfall and the elevation of low spots.

Vegetation (NDVI)Water (NDWI)Surface temperature (Sentinel-3)Elevation

Check how full the fishponds are

Check how full the fishponds are: map layer
Třeboň: Water (NDWI), satellite image from 26 Sep 2026
dry landdeep water
Třeboň. Sentinel-2 L2A, 26 Sep 2026, 0% cloud. Contains modified Copernicus Sentinel data 2025–2026

A fish farm managing dozens of ponds wants to see which ponds have shrunk compared with last year before it decides on stocking and water releases.

Are the fishponds around Třeboň holding less water this September than last September?

A water layer for this September and a card with the change against last year, using radar when it is cloudy.

Water (NDWI)Change vs last yearRadar (Sentinel-1)Rainfall

Screen solar park sites

Screen solar park sites: map layer
Komárno: True colour, satellite image from 14 Aug 2026

Close to natural colour

Komárno. Sentinel-2 L2A, 14 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

A solar developer has three candidate sites and needs a first comparison of terrain and current land use before paying for detailed studies.

Compare terrain and current land use for candidate sites near Komárno, Štúrovo and Levice.

A card comparing elevation at each site and true-colour and NDVI imagery of current land use. Solar yield still comes from PVGIS or site data.

ElevationTrue colourVegetation (NDVI)

Map a flood from radar, then plan for the next one

See this example step by step
Map a flood from radar, then plan for the next one: map layer
Krnov: Radar (Sentinel-1), satellite image from 15 Sep 2024
smooth (water, roads)rough (buildings, forest)
Krnov. Sentinel-1 GRD, 15 Sep 2024. Contains modified Copernicus Sentinel data 2024

Storm Boris brought record river levels to northern Moravia in September 2024 and flooded much of Krnov; Copernicus mapped more than 56,000 hectares of flooding across seven countries. A municipality, a regional crisis staff or an insurer wants to see which areas were under water, even under cloud, and how many residents sit in the floodplain.

Show where the Opava floodplain around Krnov was flooded in mid-September 2024 compared with early September, how many people are in it, and how heavy rainfall extremes are changing in the catchment.

A radar layer for 3 and 15 September that sees through cloud, a true-colour image and a water layer after the flood, a card with exposed population, a heavy-rainfall and climate-projection card for the catchment, and a PDF report for the insurer.

Radar (Sentinel-1)Water (NDWI)PopulationHeavy rainfall

Map a forest fire scar, then track the recovery

See this example step by step
Map a forest fire scar, then track the recovery: map layer
Hřensko: Burned areas (NBR), satellite image from 5 Sep 2022
unburnedseverely burned
Hřensko. Sentinel-2 L2A, 5 Sep 2022, 5% cloud. Contains modified Copernicus Sentinel data 2022–2026

The July 2022 fire in Bohemian Switzerland burned more than 1,000 hectares on the Czech side, in stands of bark-beetle-killed spruce, and is one of the most serious forest fires in Czech history. Park rangers, foresters and civil-protection planners want to see the scar, how the forest is regrowing and where dead spruce raises the risk of the next fire.

Show the burn scar near Hřensko between June and September 2022, how vegetation looks there this summer, and how hot and dry the summers around the park have been.

A burn-index layer before and after the fire, a true-colour image of the scar, a vegetation layer for this summer that shows the regrowth, and a card with hot days and the drought index to check the dead-spruce stands before the fire season.

Burned areas (NBR)Vegetation (NDVI)Temperature extremesDrought index

Know where and when to sample a reservoir bloom

Know where and when to sample a reservoir bloom: map layer
Lipno: True colour, satellite image from 18 Dec 2025

Close to natural colour

Lipno. Sentinel-2 L2A, 18 Dec 2025, 1% cloud. Contains modified Copernicus Sentinel data 2025

In December 2025 a winter cyanobacterial bloom turned the water of the Lipno reservoir green; the Biology Centre of the Czech Academy of Sciences reported it and confirmed it with Copernicus Sentinel-2 imagery. A water utility or reservoir operator wants to decide where and when to send sampling teams. Satellites complement sampling: they show where the water colour changed, not toxins or species.

Where on the Lipno reservoir did the water turn green between 10 and 18 December 2025, and where should we take samples first?

True-colour images from 10 and 18 December, where the green water appears in the main basin near Frymburk, and a vegetation-index layer that picks up surface scum, so sampling can start where the colour changed. The app has no chlorophyll product, so concentrations still come from the samples.

True colour then and nowVegetation (NDVI)

See what a flash flood left behind

Outside the current analysis area

See what a flash flood left behind: map layer
Valencia: True colour, satellite image from 31 Oct 2024

Close to natural colour

Valencia. Sentinel-2 L2A, 31 Oct 2024, 45% cloud. Archive imagery of a real event. The assistant can't analyse this place yet. Contains modified Copernicus Sentinel data 2024

On 29 October 2024 an extreme rainfall event (DANA) flooded the Valencia region in Spain; Copernicus mapped more than 53,000 hectares as affected. The Sentinel archive shows mud-laden water at the Albufera lagoon and offshore in the days after.

The kind of question: where did the October 2024 flash flood leave water and mud around Valencia compared with a clear day before?

The same approach works for floods in the covered area: true-colour images before and after, a radar layer that sees through cloud, and a PDF report. Here the 31 October image is partly cloudy, which is why radar matters.

True colour then and nowRadar (Sentinel-1)

See the scar of Europe's largest recent wildfire

Outside the current analysis area

See the scar of Europe's largest recent wildfire: map layer
Evros: True colour, satellite image from 12 Sep 2023

Close to natural colour

Evros. Sentinel-2 L2A, 12 Sep 2023, 0% cloud. Archive imagery of a real event. The assistant can't analyse this place yet. Contains modified Copernicus Sentinel data 2023

The Evros fire in north-eastern Greece started on 19 August 2023 and burned until early September. Copernicus mapped about 81,000 hectares by 29 August, including Dadia forest, the largest forest fire in Europe in many years.

The kind of question: where did the Evros fire burn between early August and mid-September 2023?

The same approach maps fires in the covered area: true-colour images before and after, a burned-area (NBR) layer and a card with the burned area for the report. Before the season, a vegetation and dryness check can flag the riskiest stands.

True colour then and nowBurned areas (NBR)

Watch an eruption's lava cover a coast

Outside the current analysis area

Watch an eruption's lava cover a coast: map layer
La Palma: True colour, satellite image from 13 Jan 2022

Close to natural colour

La Palma. Sentinel-2 L2A, 13 Jan 2022, 8% cloud. Archive imagery of a real event. The assistant can't analyse this place yet. Contains modified Copernicus Sentinel data 2021–2022

The Cumbre Vieja eruption on La Palma lasted from 19 September to 13 December 2021. Copernicus mapped lava over more than 1,200 hectares, and more than a thousand buildings were destroyed or damaged.

The kind of question: where did the lava flows reach between August 2021 and January 2022?

True-colour images before and after show the lava field, and a radar layer adds a view that works through cloud and smoke. The same approach applies to landslides and other ground changes in the covered area.

True colour then and nowRadar (Sentinel-1)

See a fire scar next to the suburbs

Outside the current analysis area

See a fire scar next to the suburbs: map layer
West Attica: True colour, satellite image from 12 Aug 2026

Close to natural colour

West Attica. Sentinel-2 L2A, 12 Aug 2026, 0% cloud. Archive imagery of a real event. The assistant can't analyse this place yet. Contains modified Copernicus Sentinel data 2026

A wildfire that began on 31 July 2026 near Psatha and Porto Germeno in West Attica burned more than 10,000 hectares and destroyed or damaged more than 100 homes, according to Copernicus and the Hellenic Fire Service. Copernicus activated rapid mapping as EMSR909.

The kind of question: which areas around Porto Germeno burned between 28 July and 12 August 2026?

The same approach serves wildland-urban fires in the covered area: true-colour images before and after and a burned-area (NBR) layer.

True colour then and nowBurned areas (NBR)

Verify a borrower's drought-hit harvest

Verify a borrower's drought-hit harvest: map layer
Dunajská Streda: Vegetation (NDVI), satellite image from 30 Jul 2026
no vegetationvery dense
Dunajská Streda. Sentinel-2 L2A, 30 Jul 2026, 2% cloud. Contains modified Copernicus Sentinel data 2025–2026

An agricultural lender is asked to defer loan payments because a farm in southern Slovakia lost its crop to drought. The loan officer wants to see whether vegetation really fell behind and whether rainfall was below normal.

Did crops around Dunajská Streda on Žitný ostrov do worse this July than last July, and was it drier than usual?

A vegetation layer for this July and a card with the change against last July, the rainfall deficit and the drought index.

Vegetation (NDVI)Change vs last yearRainfallDrought index

Document forest cover since 2020 for EUDR

Document forest cover since 2020 for EUDR: map layer
Žďár nad Sázavou: True colour, satellite image from 14 Aug 2026

Close to natural colour

Žďár nad Sázavou. Sentinel-2 L2A, 14 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2020–2026

From 30 December 2026, a large or medium-sized furniture maker buying roundwood from Czech suppliers has to document under the EU Deforestation Regulation that the source forests were not cleared after 31 December 2020. The buyer draws the supply area on the map.

For the forest area I've drawn near Žďár nad Sázavou, compare summer 2020 with this summer and show where forest cover was lost.

True-colour layers for 2020 and today, a card with the share of the area showing a strong vegetation drop (measured over the rectangle around your drawing), and a PDF that supports the due-diligence file. It is not a compliance determination.

True colour 2020 vs todayVegetation changeForest damage (NBR)

See how dry your region is this year

See how dry your region is this year: map layer
Záhorie: Vegetation (NDVI), satellite image from 9 Aug 2026
no vegetationvery dense
Záhorie. Sentinel-2 L2A, 9 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

A water company on sandy, drought-prone soils needs evidence for limiting irrigation withdrawals and for its annual report.

How does rainfall on Záhorie between Malacky and Senica since March compare with the 1991–2020 normal, and where is it driest?

A rainfall map of the region, a card comparing this season with the normal, the drought index and a monthly chart.

Rainfall mapRainfall vs normalDrought index

Screen a plant site for heat and heavy rain

Screen a plant site for heat and heavy rain: map layer
Nitra: True colour, satellite image from 14 Aug 2026

Close to natural colour

Nitra. Sentinel-2 L2A, 14 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

An industrial property insurer, for example one based in Germany, is underwriting a factory in Slovakia and wants a documented view of local heat and heavy-rain exposure, today and under future climate scenarios.

How many days above 30 °C and how many days with more than 30 mm of rain has the industrial zone in Nitra had since 2000, and what do projections say for 2050?

A card with hot days and heavy-rain days over time, the projected change under two emission scenarios, and the site's elevation.

Temperature extremesHeavy rainfallClimate projectionsElevation

Plan small hydro output for the coming months

Plan small hydro output for the coming months: map layer
Brezno: True colour, satellite image from 14 Aug 2026

Close to natural colour

Brezno. Sentinel-2 L2A, 14 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

An operator of small hydro plants plans maintenance and sales around whether rainfall will be normal in the next few months.

Is the upper Hron around Brezno heading into a drier than normal autumn, and how did runoff compare in the last three years?

A seasonal rainfall outlook map, the drought index, and an ERA5 chart of runoff in recent years against the normal.

Seasonal outlookRunoff (ERA5)Drought index

Track progress on a road build

Track progress on a road build: map layer
Litomyšl: True colour, satellite image from 6 Oct 2026

Close to natural colour

Litomyšl. Sentinel-2 L2A, 6 Oct 2026, 1% cloud. Contains modified Copernicus Sentinel data 2026

A bank financing a road contractor and the road authority both want an independent monthly view of where earthworks and paving have advanced. Radar sees ground changes in any weather.

How much has our road construction site near Litomyšl changed since spring?

Radar layers for spring and now, a built-up change card along the route, and a true-colour layer of the current state.

Radar changeBuilt-up (NDBI)True colour

Follow the reclamation of a former mine

Follow the reclamation of a former mine: map layer
Sokolov: True colour, satellite image from 29 Jul 2026

Close to natural colour

Sokolov. Sentinel-2 L2A, 29 Jul 2026, 0% cloud. Contains modified Copernicus Sentinel data 2019–2026

A mining company and the regional authority report on how fast a former open-pit lignite mine is turning into lakes and green land.

How have water and vegetation on the reclaimed mine areas around Sokolov changed since 2019?

True-colour layers for 2019 and this year, plus a card with the change in vegetation and water across the area.

True colour then and nowVegetation (NDVI)Water (NDWI)

Confirm an EU-funded project was built

Confirm an EU-funded project was built: map layer
Hodonín: True colour, satellite image from 4 Aug 2026

Close to natural colour

Hodonín. Sentinel-2 L2A, 4 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2021–2026

A grant authority and a municipality need evidence that an EU-funded floodplain restoration with new wetlands and retention ponds exists and holds water, without a site visit.

Show the new wetland and retention ponds along the Morava near Hodonín, before construction in 2021 and today.

True-colour layers for 2021 and today, a water layer, and a change card, ready to export as a PDF for the project file.

True colour 2021 vs todayWater (NDWI)Vegetation (NDVI)

Fire-risk briefing on request for civil protection

Fire-risk briefing on request for civil protection: map layer
Bohemian Switzerland: True colour, satellite image from 15 Aug 2026

Close to natural colour

Bohemian Switzerland. Sentinel-2 L2A, 15 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

During a hot, dry spell, the fire service and civil protection office want one view of active fires, today's weather and how dry the season has been, to decide on patrols and fire bans.

Are there any fires around Bohemian Switzerland right now, and how dry and windy is it there today?

Fire detections from the last 24 hours, counted per grid cell on the map, a card with today's humidity and wind, the drought index and this summer's hot days.

Fire detections per cell (24 h)Today's weatherDrought indexHot days

Climate-risk figures for CSRD reporting

Climate-risk figures for CSRD reporting: map layer
Plzeň: True colour, satellite image from 15 Aug 2026

Close to natural colour

Plzeň. Sentinel-2 L2A, 15 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

A large automotive group in scope of the CSRD, for example one headquartered in Germany, describes the physical climate risks of its Czech and Slovak plants in its sustainability report, and smaller suppliers get the same questions in customer questionnaires. Both need consistent, sourced numbers.

For our plants in Plzeň and Trnava, compare hot days and heavy-rain days since 1991, the projected change by 2050, and the local NO₂ level.

A card per site with heat and heavy-rain trends and projections, an NO₂ satellite layer plus station counts and averages, all in one PDF.

Temperature extremesClimate projectionsNO₂ (Sentinel-5P)Station averages (OpenAQ)

Compare sites for a new warehouse

Compare sites for a new warehouse: map layer
Košice: True colour, satellite image from 5 Aug 2026

Close to natural colour

Košice. Sentinel-2 L2A, 5 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

A logistics developer choosing between sites for a distribution centre in eastern Slovakia wants to compare winter conditions, terrain and the nearby labour pool.

Compare snow and frost days, terrain and population within 20 km for sites near Košice airport and in Prešov.

A card comparing snow, frost days, elevation and nearby population, plus a built-up layer showing existing industrial areas.

Snow and frostElevationPopulationBuilt-up (NDBI)

Fact-check a hottest-summer claim

Fact-check a hottest-summer claim: map layer
Brno: True colour, satellite image from 4 Aug 2026

Close to natural colour

Brno. Sentinel-2 L2A, 4 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2026

A regional newsroom wants to check whether this was the hottest summer on record in Brno and illustrate the story with a map of the hottest districts.

Was summer 2026 in Brno hotter than any summer since 1991, and which parts of the city were hottest?

A chart of summer temperatures by year, the number of tropical days, and a 1 km surface-temperature map of the city, exportable as a PDF.

Summer temperatureTropical daysSurface temperature (Sentinel-3)

Prepare a field survey of a castle site

Prepare a field survey of a castle site: map layer
Spiš Castle: True colour, satellite image from 16 Aug 2026

Close to natural colour

Spiš Castle. Sentinel-2 L2A, 16 Aug 2026, 0% cloud. Contains modified Copernicus Sentinel data 2020–2026

An archaeology institute or a monument-care office is preparing a field survey of a castle and the hill it stands on. Before going out, the team wants landscape context, vegetation anomalies around the hill that can hint at buried structures, and how the site and its surroundings have changed over the years.

Show Spiš Castle and the land around it this summer, compare it with summer 2020, and show where vegetation in the surrounding fields looks unusual.

True-colour images for 2020 and today, a vegetation layer and a radar view of the surroundings, and a card with the elevation of the hill. At 10 m resolution Sentinel-2 shows the castle complex and its surroundings, not individual walls, so it is a starting point for the field survey.

True colour then and nowVegetation (NDVI)Radar (Sentinel-1)Elevation

Built on open European and global data

Sentinel Assistant connects to the main public Earth-observation archives, so you get one place to ask instead of a dozen portals.

Copernicus satellites

  • Sentinel-1 radar
  • Sentinel-2 optical imagery
  • Sentinel-3 land and sea temperature
  • Sentinel-5P atmosphere
  • Copernicus Climate Data Store (ERA5)

Other satellite archives

  • EUMETSAT Meteosat and Metop
  • Landsat and MODIS
  • WorldPop population grids
  • Elevation models
  • NASA FIRMS active fires

Ground and activity data

  • Open-Meteo weather
  • OpenAQ air-quality stations
  • OpenStreetMap
  • SoilGrids soil data
  • OpenSky air traffic

Your work stays private

You sign in with your Google account. Your conversations, maps and results are visible only to you.

Pick up where you left off

Every conversation is saved with its map layers, so you can reopen an analysis weeks later and see the same view.

Every layer is traceable

Each map layer shows its data source, the period it covers and its cloud-cover limit, so you can cite it in a report.

Questions

Which area does Sentinel Assistant cover?

The data comes from global archives. Copernicus Sentinel satellites image land areas worldwide, Sentinel-2 since 2015 and Sentinel-1 since 2014, and ERA5 climate records reach back to 1940. The assistant's analysis, maps, cards and reports currently work for Czechia, Slovakia and the border regions, roughly 47.7–51.2° N and 11.8–22.6° E. That includes parts of Bavaria, Saxony, northern Austria, southern Poland and northern Hungary. If you ask about a place outside this area, the assistant tells you it can't analyse it yet. We're working on wider coverage.

Does Sentinel Assistant monitor areas or send alerts?

No. It is not a continuous monitoring service: it answers when you ask and does not watch areas in the background. For warnings, follow your national weather service and civil protection authorities. Fire detections from NASA FIRMS usually appear within a few hours of a satellite pass, so you can check an area whenever you need to.

Where does the data come from?

Mainly from the EU Copernicus programme: Sentinel-1 radar, Sentinel-2 optical imagery, Sentinel-3 surface temperature, Sentinel-5P air quality and ERA5 climate records, plus open sources such as NASA FIRMS, Landsat and OpenStreetMap.

How detailed and how recent are the images?

Sentinel-2 images have 10 m pixels, enough to compare individual fields and forest stands. A new pass reaches each area every few days; cloudy scenes can be skipped or replaced by radar.

Do I need GIS or remote-sensing skills?

No. You type a question or draw an area on the map. The assistant chooses the satellite, dates and cloud limit, and every layer shows its data source, period and cloud-cover limit.

How do I get access?

Sentinel Assistant is in early access. You sign in with a Google account that has been invited; your conversations and maps are visible only to you.

Start with an area you already know

Sentinel Assistant is in early access. Open the app, ask about a site you know in Czechia, Slovakia or the border regions, and see what the satellites show.