Sentinel Application Platform (SNAP)...SNAP – Main Toolboxes S1TBX: Support the large archive of data from ESA SAR missions including SENTINEL-1, ERS-1 & 2 and ENVISAT, as well as

Sentinel Application Platform (SNAP)

Brice Mora

MedRIN meeting, Paphos, Cyprus, 20 March, 2019

What is SNAP?

An open-source, flexible and re-usable scientific Toolbox

Based on the strong software heritage of BEAM & NEST

With specific Sentinel data exploitation tools

Multi-mission : Sentinel-1/2/3

Envisat, MODIS, SeaWIFS, …

AVHRR, SMOS, Chris-PROBA, SPOT VGT, …

LANDSAT, RapidEye, SPOT

Generic formats : NetCDF, GeoTIFF, HDF…

Modular and extensible

Installation

Java provides great portability : Same code, but also same binaries run on all platforms

Installers provided for all standard platforms

Executables: Snap64: SNAP desktop

Gpt : run processes in command line

Pconvert : Data product conversion and quicklook generation

Snappy-conf: Configuration tool for the SNAP-Python interface

snap-conf-optimiser

Architecture

SNAP - Modularity

Functionalities split in individual modules : Readers, Writers

Operators

GUI functionalities

Module Manager : Updates

Installation/Removal of modules

Notifications

Any number of third party repositories

SNAP – Core features

Common architecture and data model for all Toolboxes

Very fast image display and navigation even of giga-pixel images

Graph Processing Framework (GPF)

Advanced layer management allows adding and manipulation of new overlays such as images of other bands, images from WMS servers or ESRI shapefiles

Flexible band arithmetic using arbitrary mathematical expressions

Accurate reprojection and ortho-rectification to common map projections

Geo-coding and rectification using ground control points

Automatic SRTM DEM download and tile selection

Multithreading and Multi-core processor support

SNAP – Extensibility

Java as the native language. A Java API to Develop your own application (cli or gui)

Extend the existing application by adding modules

Python as a main extension language. SNAPPY: The Python API mimics the Java API

Write your own Python scripts leveraging on SNAP

Extend SNAP by developing modules in Python (numpy, scipy, …). Useful for bridging your C/C++ library

Standalone Tools Adapter module Use your own cli tools as if they were a native SNAP module

GDAL, Orfeo Toolbox, Sen2Cor, Sen2Three, ...

SNAP – Main Toolboxes

S1TBX:

Support the large archive of data from ESA SAR missions including SENTINEL-1, ERS-1 & 2 and ENVISAT, as well as third party SAR data from ALOS PALSAR, TerraSAR-X, COSMO-SkyMed and RADARSAT-2.

S2TBX:

Exploitation of high resolution optical data

Sentinel-2, Envisat (MERIS & AATSR), ERS (ATSR), as well as third party data from RapidEye, SPOT, MODIS (Aqua and Terra), Landsat (TM), ALOS (AVNIR & PRISM) and others

S3TBX:

Exploitation of medium resolution optical data

Sentinel-3 (OLCI and SLSTR), Envisat (MERIS & AATSR), ERS (ATSR), SMOS as well as third party data from MODIS (Aqua and Terra), Landsat (TM), ALOS (AVNIR & PRISM) and others.

SNAP – Community

Our website : step.esa.int Get it : http://step.esa.int/main/download/

Ask questions, discuss anything SNAP or Sentinel data related : http://forum.step.esa.int

Tutorials, News, Links, related software, ...

S2-TOOLBOX

Exploitation of high resolution optical data

Sentinel-2 L1B, L1C, L2A and L3, Landsat-8, Spot 1 to Spot 7, Spot4 Take5, Spot5 Take5, RapidEye, Deimos

S2TBX – FEATURE SUMMARY

Sen2Cor for Atmospheric Correction

Sen2Three level-3 processor for Spatio-Temporal Synthesis of bottom of atmosphere corrected Sentinel-2 level 2a images

L2B biophysical processor (LAI, fAPAR, …)

Reflectance to Radiance Processor

Radiometric Indices

Vegetation indices : DVI, RVI, PVI, IPVI, WDVI, TNDVI, GNDVI, GEMI, ARVI, NDI45…

Soil indices : SAVI, TSAVI, MSAVI, MSAVI2, BI, BI2, RI, CI

Water indices : NDWI, NDWI2, MNDWI, NDPI, NDTI

IdePix Processor: pixel classification

MCI Processor: Maximum Chlorophyll Index by exploiting the height of a measurement over a specific baseline.

OTB tools: Pansharpening, Rasterization, Segmentation …

S2TBX – SENTINEL2 READER

Products are aggregation of granules (L1B) or tiles (L1C)

Transparent to the end user : single mosaic in Sentinel 2 Toolbox

Optimized multi-resolution viewing/processing

JPEG2000 decoding through OpenJPEG library

Internal cache of JP2 decoded tiles for performance

S2TBX – Product examples: vegetation monitoring

S2TBX – Product examples: atmospheric correction S2-L1C

S2-L2A

SNAP: Next steps

Upcoming release of version SNAP 7.0 (May, 2019: ESA LPS), more releases scheduled until end of 2020

Dedicated python-based interface to facilitate use the API

Documentation especially for developers to be extended

Better support for multi-size products (different spatial resolution, image size), especially for Sentinel-2

Homogenization of metadata and readers

Improvement of graph builder tool

Fusion and change detection processors, time series analysis, and direct access of cloud resources

S1TBX to support new sensors (ALOS-2, PAZ, RISAT-1…), stack generation and coherence estimator improvements

S2TBX to add product readers for VHSR optical sensors, add support for Landsat products in biophysical processor. Addition of new processors for atmospheric corrections and cloud detection

S3TBX to provide new pre-processing tools for radiometric calibration improvement and reflectance values derivation from OLCI data. Addition of processors to derive water quality indices. Tool development to allow creation of L1C synergy data products from OLCI and SLSTR data

Thank you for your attention

Brice Mora

[email protected]