ASI-SRV General purpose modules for the pre-processing of remote sensed optical data
description
Transcript of ASI-SRV General purpose modules for the pre-processing of remote sensed optical data
21/04/23USEReST' 08 1
Massimo Musacchio, Sergio Teggi, Fabrizia Buongiorno,
Angelo Amodio, Marco Gregnanin, Giulia De Marzi,
Stefano Vignoli, Sergio Perelli, Vincenzo Santacesaria
21/04/23USEReST' 08 221/04/23USEReST' 08
The ASI-SRV provides support to the following volcanic activity phases addressed by the Italian Civil Protection Department (DPC):› Surveillance and early warning› Sin-eruption phase› Post-eruption phase
21/04/23USEReST' 08 321/04/23USEReST' 08
EO-non EO data Providers
Added value Products
21/04/23USEReST' 08 421/04/23USEReST' 08
ASI-SRV system will be developed in 3 phases› In the first version the core of the system has
been realized, including modules/algorithm well known and consolidated (TES, VAOT, Water Vapour, Effusion Rate, SO2 and LAOT) READY TO BE OPERATIVE
› During the following phases RTD based module will be developed and implemented (VAMP, Surface change detection, CO2 , Multiparametric analysis )
21/04/23USEReST' 08 521/04/23USEReST' 08
To optimize the computer processing time the ASI-SRV architecture is based on two data processing chains in order to get advantage of partnership infrastructures and laboratories
This presentation is aimed to the “Optical-based” modules .
The Optical data processing chain is localized in Rome at INGV
The SAR data processing chain is localized in Naples at CNR-IREA
21/04/23USEReST' 08 621/04/23USEReST' 08
Several spaceborne based EO optical data will be acquired and processed:
NASA EO-1 Hyperion NASA Terra/Aqua MODIS NASA Terra ASTER NOAA AVHRR EROS SPOT Quickbird
Each data is furnished with specific spectral and spatial characteristics
21/04/23USEReST' 08 721/04/23USEReST' 08
Pre crisis
Surface Thermal anomalies monitoring ASTER
VAOT Volcanic Aerosol Optical Thickness estimation Hyperion
Water vapour estimation Hyperion
Crisis
Effusion rate AVHRR, MODIS
Ash clouds optical characteristics (VAMP) AVHRR, MODIS
Low resolution Aerosol Optical Thickness (LAOT) AVHRR MODIS
Degassing plumes SO2 Characterization AVHRR MODIS
Post Crisis
Change detection on surface characteristics due:
Lava flow Hyperion and HI-RES
Ash cover Hyperion and HI-RES
21/04/23USEReST' 08 8
Sensor ProviderRevisittime
Production time
Provision time
Note
QUICKBIRDDigital Globe Eurimage/Telespazio
On demand hours hours
SPOT SPOT IAMGE On demand hours hours
EROSImageSat International IPT
On demand hours hours
ASTER-TERRA NASA 16 days hours hours
Day and Night time passageOn-demand
HYPERION NASA 16 days hours hours
It follows the ASTER-TERRA-NASA orbitOn demand
AVHRRNOAADirect Broadcast
4 hour minutes hoursDirected broadcasted by INGV
MODIS ESA 2 per day minutes hours Night/day
Hig
her S
patia
l Res
oluti
on
Low
er R
evis
it Ti
me
Less than 1 mt
About 1 km
21/04/23USEReST' 08 9
L1A
Digital Count
L1B
Calibration
Sensor RadianceSensor Reflectance
Coreg
L1C
Sensor RadianceSensor ReflectanceDEMShadedSlopeAspect
Atmospheric Correction
BoA RadianceBoA Reflectance
DEMShadedSlopeAspect
Apparent RadianceApparent Reflectance
L1D
L2A
MapClassified Mask
sensor Geometry
Map Classified Mask
DEM Geometry
L2C
Vector generation
L2D
Vectorial Layer
DEM Geometry
GenericProcessor
Time, spatial Processor
L3A L3B
sensor Geometry DEM Geometry
Level 1
Level 2
Level 3
Auxiliari
Correction terms
LupLd.....
L2B
DEM Geometry
21/04/23USEReST' 08 1021/04/23USEReST' 08
21/04/23USEReST' 08 1121/04/23USEReST' 08
To have EO “standardized” data, ready to be processed, by means of
Radiometric calibration,
Resized with a defined geographic extension and coverage,
Atmospheric and topographic effect removed
21/04/23USEReST' 08 1221/04/23USEReST' 08
21/04/23USEReST' 08 1321/04/23USEReST' 08
The need to have common activities performed on the SRV product led to the development of a set of common tools, in order to perform, on different image standards, the same operations.The common tools (named GTR) are devoted to:
cut and mosaic of the input imagescoregistration of input DEM and georeferencing of final SRV products
GIS Referencing ToolGIS Referencing Tool
21/04/23USEReST' 08 1421/04/23USEReST' 08
Within the ASI-SRV project a well defined geographic window has been defined for each of the three area of interest. (Vesuvio Campi Flegrei, Etna).
This requirement leads to cut the low-res images, since they span over a geographic area wider than the one of interest; while each hi-res image may cover an area which is more narrow than the desired window, so a mosaic of several images followed by a cut of the temporary image obtained is needed.
The tasks are made more complex by the fact that input images are provided in sensor geometry, so the cut has to be done in an appropriate way, in order to avoid the loss of points falling into the desired geographic window.
21/04/23USEReST' 08 1521/04/23USEReST' 08
ETNA tes site
Satellite/sensor Km dimension Upper Left Lower Right
Width Height Longitude Latitude Longitude Latitude
MODIS regional 350.00 450.00 11° 40’ 00” 39° 50’ 00” 16° 50’ 00” 36° 00’ 00”
MODIS local 40.00 40.00 14° 45’ 32” 37°56’ 40” 15°13’ 04” 37° 34’ 43”
AVHRR regional 350.00 450.00 11° 40’ 00” 39° 50’ 00” 16° 50’ 00” 36° 00’ 00”
AVHRR local 40.00 40.00 14° 45’ 32” 37°56’ 40” 15°13’ 04” 37° 34’ 43”
ASTER 62.00 49.50 14° 42’ 41” 37° 58’ 14” 15° 16’ 32” 37° 24’ 36”
Hyperion 8.50 35.00 14° 58’ 00” 37° 50’ 00” 14° 59’ 11” 37° 30’ 00”
Very High Resolution
26.00 26.00 N/A N/A N/A N/A
21/04/23USEReST' 08 1621/04/23USEReST' 08
Vesuvio and Campi Flegrei test site
Satellite/sensor Km dimension Upper Left Lower Right
Width Height Longitude Latitude Longitude Latitude
MODIS regional 55.00 33.00 13° 59’ 47” 40° 55’ 07” 14° 36’ 06” 40° 39’ 12”
AVHRR regional 55.00 33.00 13° 59’ 47” 40° 55’ 07” 14° 36’ 06” 40° 39’ 12”
ASTER 65.00 42.00 14° 00’ 00” 41° 00’ 54” 14° 46’ 28” 40° 37’ 14”
Hyperion (Vesuvio)
7.60 12.00 14° 23’ 32” 40° 51’ 50” 14° 27’ 29” 40° 45’ 02”
Hyperion (Campi Flegrei)
16.00 18.50 14° 01’ 26” 40° 54’ 52” 14° 13’ 05” 40° 44° 51”
Very High Resolution
26.00 26.00 N/A N/A N/A N/A
21/04/23USEReST' 08 1721/04/23USEReST' 08
The DEM Co-registration tool implements the two major functions of orthorectification and georeferentiation of raw images.
The following two different models will be used:› Satellite Sensor Rigorous Orbital Model› Rational Polynomial Coefficients (RPC)
Dem coregistration module produces HDF file as output. This output will be used as input for all DPS. The output level of the generated product is 1C (e.g. ASTER_1C, AVHRR_1C)
The tools are automated and do not require human interaction. The tools execution is scheduled by the SRV system.
21/04/23USEReST' 08 1821/04/23USEReST' 08
• No specific algorithms are required. The module consists in the mere application of calibration coefficients.
• The ASTER and HYPERION data will be calibrated, while MODIS data will be not calibrated because level 1B data products contain calibrated radiances for all 36 MODIS bands and reflectances for the reflective Solar bands (Bands 1 through 19 and 26).
21/04/23USEReST' 08 1921/04/23USEReST' 08
• ASTER
Input: Level 1B in Digital Number (DN) Algorithm: Rad=(DN-1)*ASTERFACT
(ASTERFACT are ancillary data files) Output: Radiance [W/m2/ster/m]
• HYPERION
Input: Level 1R in Digital Number (DN) Algorithm: Rad=(DN)* 1/40 (VNIR )
Rad = (DN)*1/80 (SWIR) Output: Radiance [W/m2/ster/m]
21/04/23USEReST' 08 2021/04/23USEReST' 08
21/04/23USEReST' 08 2121/04/23USEReST' 08
Using CIRILLO the spectral values of atmospheric terms, (i.e. transmittances, reflectance contribution due to solar radiance scattered by the atmosphere and downward spherical albedo of the atmosphere) are computed
The second reason to prefer CIRILLO is due to the capability to evaluate altitude and b factor for each pixel of the image. For these calculations CIRILLO requires as input three images (files), geographically registered with the image to be corrected and with the same spatial resolution, containing elevation, slope and aspect
21/04/23USEReST' 08 2221/04/23USEReST' 08
A. The sun radiance that reaches directly the pixel viewed by the sensor (target) and that is directly reflected by the target to the sensor;
B. The sun radiance that reaches directly the pixel viewed by the sensor (target) and that is reflected by the target to the sensor following a multiple scattering path;
C. The sun radiance that reaches the target following a multiple scattering path and that is directly reflected by the target to the sensor;
D. The sun radiance that reaches the target following a multiple scattering path and that is reflected by the target to the sensor following a multiple scattering path;
E. The sun radiance that directly reaches the surface surrounding the target and that is reflected by the surface to the sensor following a multiple scattering path;
F. The sun radiance that reaches the surface surrounding the target following a multiple scattering path and that is reflected by the surface to the sensor following a multiple scattering path;
G. The sun radiance that is directly scattered by the atmosphere to the sensor without reaching the ground.
All of these terms, with the exception of G), are also influenced by the orientation of the surface with respect to the sun illumination direction.
A-B-C-D-E-FG
21/04/23USEReST' 08 2321/04/23USEReST' 08
User Input
Data relevant the sensor, the
acquisition timeand geometry
Data image to be corrected
Data relevant the radiative transfer
models
DEM
Data relevant the adjacency effect
ROI
Computing Modules Output
Ground ReflectanceModule
TOA reflectance Image
Atmospheric Correction LUT
Illumination condition
Ground reflectance Image
Graphic and ASCII file
Graphic and ASCII file for Atmospehric Correction check
Atmospheric correction
"6S" Module for the diffusion terms
"MODTRAN" module for the absorption terms
TOA reflectance Module
Orographic terms Module
Ground Radiance Module
Sensor Response FunctionBand number and position
Solar spectrum
21/04/23USEReST' 08 2421/04/23USEReST' 08
21/04/23USEReST' 08 25
Massimo Musacchio, Malvina Silvestri, Claudia Spinetti,
Stefano Corradini, Valerio Lombardo, Luca Merucci, Maria
Fabrizia Buongiorno, Sergio Pugnaghi, Gabriele Gangale,
Lorenzo Guerrieri, Sergio Teggi, Vincenzo Santacesaria,
Sergio Perelli
21/04/23USEReST' 08 2621/04/23USEReST' 08
For each product a historical series of remote sensed data have been processed
By means of specific algorithm and using Auxiliary and Ancillary…
…the product is obtained
Before to post on the foreseen WEBGIS each raster needs to be converted in a ESRI like shapefile
Shapefile
21/04/23USEReST' 08 2721/04/23USEReST' 08
21/04/23USEReST' 08 2821/04/23USEReST' 08
21/04/23USEReST' 08 2921/04/23USEReST' 08
21/04/23USEReST' 08 3021/04/23USEReST' 08
21/04/23USEReST' 08 3121/04/23USEReST' 08
21/04/23USEReST' 08 3221/04/23USEReST' 08
21/04/23USEReST' 08 3321/04/23USEReST' 08
21/04/23USEReST' 08 3421/04/23USEReST' 08
Discontinuous measurements Webcam network UV-scanner network for SO2 flux Seismic network GPS permanent network Gravimetric network Magnetic network Analysis of the erupted ash Analysis of the erupted products Geologic and structural surveys Thermal mapping from helicopter Lava mapping from field
21/04/23USEReST' 08 3521/04/23USEReST' 08
At the end of the scientific processing chain, raster classified products are available, and they need to be georeferenced before their transformation in vector products, in order to be displayed as a geographic information layer on a map.This task is performed by the “Map Projection” module, in order to warp them in an UTM projection.
This georeferenced product is then stored in a Geo-TIFF file, that contains all the information needed for a correct visualization on a GIS.The product obtained is then ready to be analyzed by the Operator using the GTA, in order to validate or discard it before the publishing to the end user.
21/04/23USEReST' 08 3621/04/23USEReST' 08
The GTA is a customization of ESRI ArcGIS Desktop to support the operator in performing the Validation Process Workflow.
GTA will use ESRI ArcGIS (and its extensions):
ArcGIS is powerful to manage a huge amounts of SRV productsArcGIS is widely used within DPC and INGVArcGIS includes a wide variety of programmable components, so that plug-in functionalities to validate SRV products can be integratedArcGIS, using some extensions, is compliant with the OGS protocols to be used in the frame of the project (LDS)
21/04/23USEReST' 08 3721/04/23USEReST' 08
SRV Process Validation Workflow
21/04/23USEReST' 08 3821/04/23USEReST' 08
21/04/23USEReST' 08 3921/04/23USEReST' 08
21/04/23USEReST' 08 4021/04/23USEReST' 08
For further information on ASI-SRV project contact:Maria Fabrizia Buongiorno: [email protected]