Kazushi Motomura

Harmonized Landsat Sentinel (HLS): One Consistent Time Series from Two Sensors

HLS merges Landsat 8/9 and Sentinel-2 into a single, atmospherically corrected 30m dataset with 2-3 day revisit. Learn how harmonization works, what HLSL30 and HLSS30 contain, and when a fused time series beats a single sensor.

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.

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.

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.

Flood Monitoring with Sentinel-1 SAR Time Series: Tracking Inundation from Space

SAR backscatter time series from Sentinel-1 detects flood onset, peak inundation, and recession through clouds. Learn how VV backscatter drops indicate flooding, how to set up continuous flood monitoring zones, and how to interpret SAR time series for disaster response.

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.

Coastal Change Monitoring with NDWI and SAR Time Series

Coastal zones are among the most dynamic and threatened environments on Earth. NDWI time series from Sentinel-2 and SAR from Sentinel-1 together provide continuous monitoring of shoreline change, mangrove extent, coral reefs, and tidal dynamics. Learn how to set up multi-index coastal monitoring.

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.