NDVI
18 articlesMODIS Satellite Data: The Daily, Decades-Long View of Earth
MODIS provides daily global coverage and a 20+ year archive at 250m-1km resolution. Learn what MODIS measures, its key products (NDVI, land surface temperature, active fire), how it trades resolution for frequency, and when coarse-resolution daily data beats high-resolution imagery.
2026-06-20 · 4 min read
How to Choose the Right Satellite Index for Your Monitoring Goal
Choosing between NDVI, SAR VV, NDWI, NDBI, NBR, DNB and other indices depends on what you want to monitor. This decision guide matches monitoring goals — vegetation health, floods, urban growth, fires, economic activity — to the best index and satellite sensor.
2026-04-14 · 7 min read
Environmental Compliance Monitoring with Satellite Imagery
Satellite time series monitoring allows companies, NGOs, and regulators to objectively verify deforestation commitments, track ESG land use pledges, and monitor supply chain sourcing areas. Learn how NDVI and SAR time series create an always-on compliance monitoring system.
2026-04-13 · 8 min read
Multi-Index Satellite Monitoring: Why One Sensor Is Never Enough
Monitoring a site with a single index misses events that only appear in other data streams. Combining NDVI, SAR backscatter, NDWI, and nighttime lights for the same polygon creates a complete picture that no single sensor can provide.
2026-04-12 · 8 min read
Wildfire Recovery Monitoring: From Burn Scar to Regrowth
Post-fire vegetation recovery is one of the most revealing applications of satellite time series monitoring. NBR and NDVI together track the complete trajectory from fire damage through initial regrowth to mature vegetation recovery, revealing ecological resilience and identifying areas at risk of degradation.
2026-04-08 · 8 min read
Seasonal Crop Monitoring with NDVI Time Series: From Planting to Harvest
NDVI time series from Sentinel-2 reveals the complete crop growth cycle — planting date, peak canopy, stress events, and harvest timing. Learn how to set up crop monitoring, identify the key phenological stages, and detect anomalies that signal crop failure or irrigation problems.
2026-04-05 · 12 min read
Post-Disaster Recovery Monitoring with Satellite Time Series
Satellite time series monitoring tracks the recovery trajectory after floods, earthquakes, wildfires, and other disasters. Learn how NDVI, SAR backscatter, NDWI, and nighttime lights collectively reveal what has recovered, what has not, and where recovery is lagging.
2026-04-04 · 8 min read
Forest Health Monitoring with NDVI and SAR Vegetation Indices
Combining Sentinel-2 NDVI with Sentinel-1 SAR indices like RVI and RFDI provides comprehensive forest health monitoring that works through clouds. Learn how optical and radar time series complement each other to detect deforestation, degradation, and stress before it becomes visible to the naked eye.
2026-04-02 · 8 min read
Satellite Anomaly Detection in Time Series Data: How It Works
Anomaly detection in satellite time series identifies data points that deviate significantly from expected seasonal patterns. Learn how statistical methods flag unusual events in NDVI, SAR backscatter, and other indices — and how to distinguish real environmental events from noise.
2026-03-27 · 9 min read
Vegetation Index Time Series Monitoring with Sentinel-2
NDVI, EVI, SAVI and other vegetation indices from Sentinel-2 are most powerful when tracked over time. Learn how time series monitoring reveals seasonal cycles, stress events, and long-term trends in forests, croplands, and grasslands.
2026-03-20 · 8 min read
Change Detection from Space: Three Approaches That Actually Work
Not all change detection methods are equal. This post compares image differencing, NDVI time-series, and SAR coherence-based approaches with real-world guidance on when to use each one.
2026-01-22 · 7 min read
SAVI: The Vegetation Index That Accounts for Bare Soil
Why NDVI fails in areas with sparse vegetation and how the Soil Adjusted Vegetation Index (SAVI) corrects for soil background effects. Includes the math, practical L-factor selection, and when to use SAVI over NDVI.
2026-01-10 · 8 min read
Satellite Imagery for Agriculture: What Actually Works at Field Scale
Satellite data is transforming precision agriculture, but not every sensor or index is useful for every crop. This guide covers what works, what doesn't, and how to build a practical field monitoring workflow.
2025-12-14 · 7 min read
Satellite Data for Precision Agriculture: Variable Rate Application and Yield Optimization
How farmers use satellite-derived vegetation maps for variable rate fertilization, irrigation management, and yield prediction. Covers the practical workflow from satellite image to field prescription map.
2025-12-06 · 8 min read
Understanding NDVI: How to Monitor Vegetation Health from Space
A comprehensive guide to NDVI (Normalized Difference Vegetation Index) — what it measures, how to interpret values, and practical applications for agriculture, forestry, and environmental monitoring.
2025-12-03 · 5 min read
Crop Yield Estimation from Satellite Data: Methods, Accuracy, and Limitations
How satellite vegetation indices relate to crop yield, the statistical and process-based approaches to yield forecasting, and realistic accuracy expectations for different crops and regions.
2025-06-29 · 8 min read
Precision Agriculture with Satellite Imagery: A Practical Guide
How satellite data transforms farming decisions — from variable-rate fertilization to irrigation scheduling. Covers which satellites to use, key vegetation indices, and real-world implementation challenges.
2025-06-12 · 8 min read
EVI vs NDVI: When NDVI Isn't Enough for Vegetation Analysis
NDVI is the most popular vegetation index, but it saturates over dense canopy and is sensitive to soil background. EVI and SAVI solve these problems. This guide explains when to use each index.
2025-06-03 · 6 min read