Landsat 7 images: Satellite data for historical analysis

Access medium-resolution, wide-swath, multispectral Landsat 7 satellite images on the EOSDA LandViewer platform:

Spatial resolution

15 m (panchromatic), 30 m (multispectral), 60 m (thermal, resampled to 30 m)
Scene size

~ 185 × 183 km
Revisit time

Every 16 days
Data archives

From 1999 to January 2024 (Scan Line Corrector failure since 2003)
Spectral bands

8 bands, including panchromatic, visible, NIR, SWIR, and thermal
Analytical tools

Change detection, clusterization, time series analysis

How to access and download Landsat 7 data on EOSDA LandViewer

Define your AOI (area of interest)

Choose your area of interest (AOI) for monitoring by searching a location, sketching the region on the map, or uploading a boundary file from your device.

Filter your search

Apply filters like date, cloud coverage, sensor type, and AOI coverage to identify Landsat 7 images that best fit your needs.

Select the scene that fits best

Review the filtered collection and choose the scene that most effectively supports your project's needs.

Analyze online or download for offline use

You can download the selected Landsat 7 image in GeoTIFF, KMZ, or JPEG formats for further processing in tools like QGIS or ArcGIS. If you prefer to work within the platform, EOSDA LandViewer offers powerful tools for analysis, including indices, band combinations, time series tracking, change detection, and clustering.

Stay updated with new image alerts

If the ideal Landsat 7 image isn’t available at the moment, activate notifications to get alerted as soon as fresh data is captured for your area of interest.

choosing the most relevant Landsat 7 images

get email notifications on Landsat 7 imagery updates

Search for imagery

Analyze Landsat 7 satellite imagery on EOSDA LandViewer to extract meaningful data

Indices and Band Combinations

EOSDA LandViewer makes analyzing Landsat 7 data faster and easier by offering over 20 ready-to-use indices and band combinations tailored for environmental monitoring. Whether you’re tracking vegetation dynamics, soil properties, or land changes, these presets provide clear and accurate insights. If the available options don’t fully match your project needs, you can easily create and apply custom indices for a more personalized analysis.

Landsat 7 imagery analysis with different band combinations

Change Detection

Track landscape changes over time by analyzing multiple Landsat 7 images taken on different dates. This supports continuous monitoring of urban growth, environmental variations, and disaster effects, empowering stakeholders with timely insights for risk assessment, strategic planning, and sustainable land management.

compare two scenes to see the changes in detail

Clusterization

Get meaningful insights from Landsat 7 raster data by segmenting your AOI into zones with similar index values using clustering and vectorization. This automated process produces two new analytical layers that expose subtle variations in vegetation, land cover, and water quality, supporting informed decisions in agriculture, forestry, and environmental management.

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Real-world applications of Landsat 7 imagery analytics

Move the slider to see changes

Los Alamos post-fire NBR image captured on June 17, 2000

Los Alamos pre-fire NBR image captured on May 9, 2000

Wildfire impact

Los Alamos, New Mexico, USA
NBR index
May 9, 2000 - Jun 17, 2000

Landsat 7 image of Nevada, Las vegas in 1999

Urban expansion tracking

Las Vegas, Nevada, USA
False Color (Urban) band combination
Jul 4, 1999 - Jan 18, 2024

Shrinkage of the Yigong Hu River in 2001 following a landslide-induced dam breach, as depicted in a Landsat 7 image

Water body monitoring

Yigong Hu river, China
Land/Water band comnibation
Sep 23, 1999 - Dec 01, 2001

satellite picture of the same area captured after irrigation

Landsat 7 image of an area before irrigation

Crop health and irrigation efficiency monitoring

Oneida County, New York State, USA
NDVI index
Jun 21, 2006 - Aug 24, 2006

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Industries with the most to gain

Agriculture

Landsat 7 provides 20 years of reliable data for trend analysis and seasonal crop monitoring, especially in data-limited regions.

Crop condition analysis: track crop health and growth with NDVI and other indices to spot early stress.
Yield prediction support: estimate yields by comparing vegetation data across years.
Soil moisture estimation: assess surface moisture to estimate irrigation needs.
Irrigation planning: locate water-stressed zones to adjust irrigation.
Field boundary mapping: define cropland using Landsat 7 satellite images.

Construction and urban planning

Landsat 7 offers 20+ years of data to analyze urban and infrastructure growth.

Urban expansion detection: trace urban sprawl with consistent imagery to understand growth patterns.
Infrastructure monitoring: pinpoint when and where construction occurred using historical data.
Environmental impact analysis: assess changes in vegetation and water from urban growth.
Urban heat island monitoring: track temperature shifts using thermal data Landsat 7 thermal data.
Pre-development assessment: review land history before major construction.

Environmental and climate change

Landsat 7 enables long-term environmental change analysis with global data since 1999.

Forest disturbance tracking: monitor deforestation, fires, and regrowth from early 2000s to now.
Wetland and water monitoring: observe long-term surface water and wetland trends with Landsat 7 images.
Climate impact analysis: track glacier retreat, snow loss, vegetation shifts, and degradation.
Disaster damage mapping: assess wildfire, flood, and drought effects using historic Landsat 7 imagery.
Biodiversity assessment: map ecosystem changes and threats to protected areas with multispectral data.

Find more satellite images on EOSDA LandViewer