High-resolution satellite imagery

The emergence of high-resolution satellite sensors have introduced a new level of advantages by providing the higher spatial resolution for most accurate, reliable and timely data, which is essential in land use change detection, precision farming, emergency response, social research among other applied fields. Being up-to-date with the evolving technologies, LandViewer offers the option to purchase high-resolution satellite imagery from the world’s leading providers online.

Satellites that provide high-resolution images

The Pléiades satellite system comprises two satellites: Pléiades 1A and Pléiades 1B. These satellites utilize imaging equipment with a resolution of 0,5 m/pxl, operate in the same phased orbit, and are fitted with fiber-optic and control moment gyros, which enable Pléiades to deliver exceptional roll, pitch and yaw agility as well as to increase the number of acquisitions above the defined area. The system delivers both panchromatic and multispectral products with one of the widest footprints. The Pléiades’ agility allows them to be highly responsive to final user requests and able to obtain and deliver data in record time.

With a resolution of 2,5 m/pxl, SPOT-5 is fitted with two optical facilities: a stereo viewing instrument for relief mapping, and a low-resolution instrument which provides ecology control continuity around the globe. Due to the improved resolution and wide imaging swath in twin-instrument mode, the SPOT-5 satellite provides the perfect balance between high resolution and wide-area coverage. The stereo instrument allows the acquisition of stereo images over vast areas in a single pass. Stereo pair imagery is essential for applications that use 3D terrain modeling and computer environments.

SPOT-6 and SPOT-7, two Earth observation optical satellites with a resolution of 1,5 m/pxl, were designed to continue SPOT-5’s mission to obtain wide-swath high-resolution imagery and provide satellite data until 2023. The constellation is fitted out with two high-resolution pushbroom imagers and is based on Korsch-type telescope technology. Along with Reference 3D's high location accuracy, the technology allows users to obtain high-quality orthoimages as well as broad-swath satellite imagery complementary to the Pléiades very high-resolution data. SPOT-6 & SPOT-7 operate in the same orbit as Pléiades 1A and Pléiades 1B, forming a 4-satellite constellation.

The KOMPSAT-3 satellite is equipped with a pushbroom imager, and is capable of acquiring images with maximum spatial resolution of 0,5 m/pxl. KOMPSAT-3 delivers panchromatic optical images and provides high-resolution satellite imagery for Geographical Information Systems (GIS) and the following applied fields: agriculture, environment, oceanography and natural disasters.

The KOMPSAT-3A satellite has a resolution of 0,4 m/pxl and is enhanced with a thermal infrared sensor and two imaging systems. KOMPSAT-3A operates within the mid-wavelength infrared region of 3 - 5 µm at high spatial and thermal resolution. These temperature-sensitive sensors can assist in the monitoring of wildfires, volcanic and seismic activity, as well as water currents and natural disasters.

With a spatial resolution of 1,0 m/pxl, KOMPSAT-2 is designed to provide high-res imagery of the Korean peninsula. The satellite is capable of delivering both panchromatic and multispectral imagery, and operates in a strip mode. The main objectives of the KOMPSAT-2 program are: providing imagery to assist in countermeasure activities in case of massive natural disaster, the acquisition of high-res images for GIS, designing of digital maps, and control over natural resources, forestry management, research etc.

The SuperView-1 program comprises four Chinese civil Earth-observing satellites with a spatial resolution of 0,5 m/pxl, aimed at collecting high-resolution multispectral imagery. The main objective of the program is to provide data to be applied in defense and intelligence, land and forestry management, high accuracy mapping, security, and maritime programs. Currently, the four SuperView - 1 (1a, 1b, 1c, 1d) satellites follow the same orbit. The constellation is very agile and operates in four acquiring modes: stereo imaging, long strip, multiple strips collect, multiple point targets collect.

NDVI index vegetation map

High-resolution satellite images for fields analytics

Use our high-resolution (3-5 meter resolution imagery) satellite images to receive the most accurate and relevant information you need for effective fields management and timely problems detection.
With high-resolution images offered within our Crop Monitoring platform, you can track changes in vegetation, get real-time weather updates, manage scouting tasks, identify problem areas, and get notifications, significantly saving time and money. When all this information is analyzed, the system notifies the user of all changes and possible risks, providing the ability to treat the fields accordingly when and where needed to optimize resources utilization and ensure making timely decisions. Fields data is kept in one place, which makes field management easier and more efficient, allowing to monitor changes in crops health remotely, and react on-the-spot by setting scouting tasks, sharing reports with colleagues, and storing data for future analytics.
New Add-On

Crop Monitoring High Resolution Imagery Add-on: Daily Updated Satellite Images With a 3m Resolution

satellites revisit every day

Daily Revisit

Stay updated on any risks in near real-time thanks to our daily high-resolution satellite imagery that decreases the role cloud cover plays for 3-5 day revisit of Sentinel-2.

Early risk detection allows you to prevent issues with the crops in a timely manner.

3m per pixel resolution imagery

Higher Resolution Imagery:

Make better-informed decisions based on accurate data on your field conditions, reduce costs and improve yields.

Thanks to daily high-detail satellite images with a resolution of 3 meters or 9.8 feet per pixel, you can identify issues with the crops at their earliest onset, optimize scouting and other field activities.

natural color and vegetation indices satellite photos

Vegetation Indices and Natural Color:

Discover a more accurate way of assessing the state of crops with an incredible 3m / 9.8 ft per pixel NDVI.

Detect chlorophyll content in plants using ReCl to assess the state of your crops during active stages of growth with more precision

Also available are the natural color images of your fields to view them with the "naked eye"

How to buy high-resolution imagery in landviewer

  • Step 1: Set your AOI, choose 'high-resolution images' as a source data, and apply appropriate satellite filters
  • Step 2: Check the necessary details to select the image that best suits your needs
  • Step 3: Add the image to your cart, submit the order and make a payment
  • Step 4: Run a full-circle of geodata processing workflow with EOS Platform products

High-resolution images vs low-resolution images

Use the slider to compare Sentinel-2 (on the right) and high-res sensors (on the left) satellite images.

satellite image from Sentinel-2
high-resolution satellite image High resolution
High resolution

Applied fields

  • The highest level of detail, continuous updating and fast delivery of high-resolution data enable effective decision-support and farm-based technologies that increase crop yields and crop health. When integrated with other data sources, such as predictive models for weather and pests, high-resolution satellite imagery is transforming global precision agriculture in the following ways:

    • mapping agricultural land and crop classification
    • vegetation health monitoring
    • site-specific crop yield management programs
    • near-infrared imaging capability
    • terrain feature identification and change monitoring
  • Many variables, such as competitors, street availability, and consumer activity are analyzed collectively to evaluate and predict the best area to locate a business. The cost-effective high-resolution data is used for mapping urbanized areas, paying special attention to features with direct relevance to geomarketing, such as:

    • planning your business strategies
    • analyzing competitors
    • estimating turnover
    • predicting the best location
    • assessment land value, ownership, type, use etc.
  • Maps, geospatial information and thematic analysis derived from high-resolution satellite imagery can support decision-making and situation awareness during all phases of the disaster and crisis cycle. This is defined through preparedness, alertness, rapid analysis, response, recovery, and reconstruction. During the analysis, response and recovery phase, the high-speed delivery of up-to-date, accurate, and comprehensive image analysis products is of critical importance in the assessment of large disaster situations, particularly in in remote areas where other means of assessment or mapping either fail or are of insufficient quality. This up-to-date mapping, covering large parts of the affected area, enables disaster managers to achieve an overview of the situation, to assess the damage, and to supply local logistics teams with reliable information on short notice.

  • Cost-effective options for providing up-to-date information on the status of forest resources are crucial. With new opportunities to use these technologies, the application of high-resolution satellite imagery to provide broad area coverage that can be processed to create a number of GIS-ready products to assist forest planners is essential. The images provided are multi-spectral and in a format that can be manipulated to enhance and detect changes in vegetation or land cover. In this context, the images can be used in several forestry operations, including: monitoring harvesting and the success of plantation establishment, mapping of wind and snow damage, and the delineation of forest species and boundaries.

  • The higher spatial resolution has positive implications for urban development applications such as street map updates, feature identification, topographical updates, and settlement classification. It also allows for infrastructure mapping, settlement classification, development of urban green spaces, service provision maps, access control mechanisms, and regional planning. The imagery provides the foundation on which powerful tools can be created, including image-based map updates, transportation analysis, asset management, environmental planning, crime mapping and analysis, stormwater management, public safety, disaster management, and Internet-based property information access via GIS.