Tag: imagery.
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Remote sensing of forest fire damage using multi-spectral imagery.
???? Neftaly: Remote Sensing of Forest Fire Damage Using Multi-Spectral Imagery
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Multi-temporal land cover classification of forests using satellite imagery.
????️ Neftaly: Multi-Temporal Land Cover Classification of Forests Using Satellite Imagery
Tracking Forest Change Over Time for Smarter Environmental Decisions
Understanding how forests change over time is essential for effective conservation, sustainable land-use planning, and climate action. However, detecting subtle or gradual changes in forest cover requires more than a single snapshot in time.
At Neftaly, we use multi-temporal satellite imagery to perform accurate land cover classification across different time periods—providing governments, researchers, and conservationists with a dynamic view of forest change.
???? What Is Multi-Temporal Land Cover Classification?
Multi-temporal land cover classification is the process of analyzing satellite images from multiple time periods to:
Detect changes in land use and forest cover
Monitor seasonal and long-term trends
Assess the impacts of human activity and natural events
Support environmental policy and planning with historical context
Neftaly combines remote sensing, GIS, and machine learning to generate time-series maps that highlight forest loss, degradation, regrowth, and conversion to other land uses.
????️ Neftaly’s Approach
Data Collection Across Time
Use freely available and commercial satellite imagery (Landsat, Sentinel, PlanetScope).
Cover intervals from monthly to yearly, depending on monitoring needs.
Preprocessing and Normalization
Standardize imagery by correcting for atmospheric, geometric, and seasonal differences.
Ensure consistency across datasets and reduce classification errors.
Classification Algorithms
Apply supervised and unsupervised classification methods (e.g., Random Forest, Support Vector Machines).
Categorize land into forest types, agriculture, grassland, water bodies, and urban areas.
Change Detection Analysis
Compare classified images from different years to detect deforestation, afforestation, fragmentation, and land conversion.
Provide metrics on forest loss/gain, patch size, and landscape dynamics.
Custom Mapping Outputs
Generate interactive maps, visual dashboards, and downloadable GIS layers.
Produce tailored reports and policy briefs based on client requirements.
???? Applications and Impact
✅ Track deforestation and land degradation in near real-time
✅ Support REDD+ and national MRV (Monitoring, Reporting, Verification) systems
✅ Assess effectiveness of forest restoration and conservation projects
✅ Map agricultural expansion, fire damage, and illegal land use
✅ Inform long-term land-use planning and zoning decisions
???? Neftaly’s Commitment
At Neftaly, we turn satellite data into clear, actionable insights. Our multi-temporal land cover classification services empower clients to see the past, understand the present, and prepare for the future—whether managing protected forests, implementing sustainable development plans, or responding to environmental threats.
???? Partner with Neftaly
Gain a deeper understanding of your forests through advanced time-series mapping and expert remote sensing analysis.