Sentinel-1 SAR processing. No code.

Process Sentinel-1 SAR data directly in QGIS

Select your AOI, choose spectral indices and render modes, visualize time series, and export results — all without leaving QGIS.

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Features

Core Features

A complete workflow for SAR data processing in QGIS with Google Earth Engine integration.

🌚

Multiple Spectral Indices

VV/VH Ratio, RVI, and DpRVI — choose the index that best fits your analysis.

🌟

Flexible Render Modes

RGB composites with contrast enhancement or Viridis pseudocolor for intuitive visualization.

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Interactive Time Series

Plotly charts with zoom, pan, and hover — filter by date and export as CSV.

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Batch Download

Download multiple images with progress tracking. All images auto-load into QGIS.

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Preprocessing Options

Border noise correction, terrain flattening, and speckle filtering with full control.

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GEE Integration

Authenticate with Google Cloud and access Sentinel-1 ARD collection directly.

Workflow

How It Works

A three-step workflow from authentication to loaded SAR imagery in QGIS.

Authenticate

Set up your Google Cloud project ID and authenticate with Google Earth Engine through the plugin.

Configure & Run

Select your AOI, date range, spectral index, and parameters. Click Run to generate the time series.

Visualize & Export

View charts, filter dates, preview or download SAR images, and export as CSV or GeoTIFF.

GEE Setup

Getting Started

Set up Google Earth Engine and configure AGLgis to start processing Sentinel-1 data.

Create a GEE account

→ Go to Earth Engine

Create a Google Cloud project

Create a new project and link it to your GEE account.

→ Google Cloud Console

Enable Earth Engine API

In Cloud Console, search for Earth Engine API and enable it.

→ Enable API

Set your use case

Declare your use case in the GEE configuration page.

→ GEE Configuration

Authenticate in AGLgis

Open AGLgis in QGIS, click Authenticate, and enter your Cloud project ID.

Project

About the Project

AGLgis is a free and open project created to simplify access to Sentinel-1 SAR data processing in QGIS. Supported by FARM Analytica, with a focus on solutions that connect technology and field intelligence.

Supported by FARM Analytica

Technology and field intelligence working together to support practical operations.

Talk on WhatsApp adm@farmanalytica.com.br

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AGLgis builds on the Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine framework by Mullissa et al.

Citation

Any published work that uses this plugin must cite the following reference as the source for the processing framework:

Mullissa, A.; Vollrath, A.; Odongo-Braun, C.; Slagter, B.; Balling, J.; Gou, Y.; Gorelick, N.; Reiche, J. Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine. Remote Sens. 2021, 13, 1954. https://doi.org/10.3390/rs13101954