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EOSDA LandViewer
About EOSDA LandViewer
EOSDA LandViewer is a web-based platform from EOS Data Analytics (EOSDA) that provides satellite imagery analysis and monitoring. It includes access to satellite data, advanced analytics tools, and customizable maps so users can visualize land changes over time. The platform supports various applications, including agriculture, forestry, and environmental monitoring. Users can analyze vegetation health, track deforestation, and assess soil moisture levels using high-resolution imagery. Key capabilities: Satellite imagery access Customizable data analytics Historical data comparison User-friendly interface Multi-layer mapping Best for: environmental scientists and land managers that need to monitor land use and analyze environmental data effectively.
EOSDA LandViewer is a comprehensive forest monitoring software that leverages satellite imagery to provide users with a powerful tool for tracking forest health, deforestation, and fire damage. By integrating data from Sentinel-2, Landsat, and other sources, the platform allows for early detection of canopy loss and illegal logging activities, making it highly valuable for organizations aiming to maintain deforestation-free supply chains. The software’s use of vegetation indices such as NDVI, EVI, and SAVI, combined with clustering and time-series analysis, enables detailed monitoring of forest health and vegetation recovery over time. Access to a historical archive dating back to 1982 adds a unique dimension, allowing users to analyze long-term forest changes. The software also provides advanced features like custom band combinations, 3D satellite views, and SAR data, offering flexibility for both standard monitoring and specialized analysis. However, EOSDA LandViewer is not without its challenges. Stable internet connectivity is required, and working with high-resolution imagery over large areas can be slow. Advanced indices and SAR data interpretation may be complex for beginners, while integration with other GIS tools is limited.
Pros & Cons
- Detects deforestation early using high-resolution satellite imagery.
- Monitors illegal logging and canopy disturbances globally.
- Maps wildfire damage and assesses severity with NBR.
- Tracks vegetation health using NDVI, EVI, and SAVI indices.
- Provides historical satellite imagery dating back to 1982.
- Requires stable internet for accessing satellite data.
- High-resolution imagery may be slow to load in large AOIs.
- Advanced indices may be complex for beginners.
- Limited offline functionality for field use.
- 3D and SAR data may need specialized knowledge to interpret.
Features
Key features
Identify areas of canopy loss using optical satellite imagery and change detection
Detect zones affected by unauthorized forest removal
Map fire damage and assess severity using NBR and Change Detection tools
Analyze vegetation stress and canopy condition using NDVI, EVI, SAVI, and clustering tools
Monitor deforestation and verify forest impacts to support deforestation-free supply chains
Track changes in vegetation and forest conditions over time
Visualize stress zones and forest health using pre-set or user-defined indices
Enhance analysis with stereoscopic and radar imagery
Access forest satellite images dating back to 1982
Additional features
Identify canopy loss with Sentinel-2, Landsat, and other satellite data
Pinpoint unauthorized logging activities
Calculate NBR to identify burned areas and severity
Compare forest images before and after events
Monitor landscape recovery and vegetation trends over time
Use NDVI, EVI, SAVI for forest health assessment
Group areas with similar characteristics for pattern analysis
Select monitoring area via map drawing, location search, or file upload
Create personalized indices for forest monitoring
Visualize forests in three dimensions
Use radar imagery for enhanced observation
Verify deforestation-free operations
Browse satellite data from 1982 onwards
Spot active fires quickly
Highlight recent deforestation using cloud-free reference images
Pricing
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Interface languages
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About EOSDA LandViewer
EOSDA LandViewer is a web-based platform from EOS Data Analytics (EOSDA) that provides satellite imagery analysis and monitoring. It includes access to satellite data, advanced analytics tools, and customizable maps so users can visualize land changes over time. The platform supports various applications, including agriculture, forestry, and environmental monitoring. Users can analyze vegetation health, track deforestation, and assess soil moisture levels using high-resolution imagery. Key capabilities: Satellite imagery access Customizable data analytics Historical data comparison User-friendly interface Multi-layer mapping Best for: environmental scientists and land managers that need to monitor land use and analyze environmental data effectively.
EOSDA LandViewer Details
EOSDA LandViewer's In-App Market Place
Does EOSDA LandViewer have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CHF (Fr), CNY (¥), RUB (₽)
Pros & Cons
- Detects deforestation early using high-resolution satellite imagery.
- Monitors illegal logging and canopy disturbances globally.
- Maps wildfire damage and assesses severity with NBR.
- Tracks vegetation health using NDVI, EVI, and SAVI indices.
- Provides historical satellite imagery dating back to 1982.
- Requires stable internet for accessing satellite data.
- High-resolution imagery may be slow to load in large AOIs.
- Advanced indices may be complex for beginners.
- Limited offline functionality for field use.
- 3D and SAR data may need specialized knowledge to interpret.
EOSDA LandViewer's Support Options
Email Address
sales@eosda.comEOSDA LandViewer's Alternatives
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