COPS Cooperative Sensors SSE Services SSE Workshop Miguel
- Slides: 37
COPS Cooperative Sensors. SSE Services. SSE Workshop Miguel Angel Herrero (Indra) November 10 th 2009
01 COPS project description and objectives 02 Air temperature service 03 Finnish Services 04 SSE feedback 05 Current activities based on COPS SSE Workshop INDEX 2
INDEX 02 Air temperature service 03 Finnish Services 04 SSE feedback 05 Current activities based on COPS SSE Workshop 01 COPS project description and objectives 3
COPS DESCRIPTION Objectives The COPS objective is to propose, analyse and evaluate applications, interfaces and methods to combine in-situ sensor data with EO data to generate value added products. Buoy Discover, task, access, etc Thermometer OGC based algorithm Specific temperature processing algorithm EO DATA L 4 product SSE Workshop Sensor access layer Specific buoy processing 4
COPS DESCRIPTION INDRA Phase 1 and Phase 2 Only Phase 1 Space Systems Finland FI VTT FI Finland Meteo Institute FI Vaisala FI Starlab ES Universitat Politècnica de Catalunya ES Instituto de Ciencias del Mar ES SSE Workshop Consortium presentation 5
COPS DESCRIPTION Study logic § Applications study. Wide spectrum analysis of candidate applications for EO + in situ combination Prototype demonstrator of application including OGC interfaces implementation PHASE 1 General EO Application Survey Application selection PHASE 2 Architectur e design Prototype Test SSE Workshop § 6
COPS APPLICATIONS COPS application study § First list of applications per domains (39 applications): § Short listing (from 39 to 9 applications) used for the conceptual architecture Final selected applications for implementation in phase 2 SSE Workshop § § Marine § Air quality § HR Meteo § Land movement § Environment § Security § Other 7
COPS APPLICATIONS Short list of applications Starlab IDR IDR ICM-UPC FMI Application name Combination of in-situ wind directions and SAR imagery for wind farming industry Coastal meteo stations Land Surface/ Air Temperature Land movement estimation from In. SAR free of atmospheric artifacts. Calibration of Leaf Area Index (LAI) and Photosynthetic Active Radiation (PAR) from satellite data for different crops EO data available ASAR, ERS and Radarsat REMPOR/XM ET Soil and air thermometers AVHRR ITER, Spain GPS SAR Handheld LAI and PAR sensors, digital camera Assimilation EO calibration US National GPS Network, GEONET Envisat, Landsat, SPOT, IK, QB, Proba, IRS. Hyperion, CASI --------- SMOS TAO/TRITION External calibration of SMOS Sea Surface Salinity products with buoy data Buoys Mixing height (MH) mapping Temp. / wind soundings, RASS profile, lidar EOSMODIS Fusion Helsinki Testbed Fusion, interpolation Surface layer (SL) stability mapping Surface meas. , RASS profile, masts EOSMODIS Helsinki Testbed FMI -Vaisala Temperature inversion strength and height Mast observations, radio soundings AVHRR, MODIS, SEVIRI Helsinki Testbed Surface met. data, webcam, digital imagery, GPS MODIS, Landsat, HR optical imagery Helsinki Testbed Growth monitoring: Season monitoring in combination with vegetation (harvest) monitoring) Fusion EO calibration and assimilation FMI VTT Type of combinatio n Fusion, Interpolation, In situ calibr Fusion, Assimilation, Interpolation Fusion, Interpolation SSE Workshop Company In-situ sensor(s) Sensor network 8
COPS DESCRIPTION OGC Sensor Web Enablement. The OGC's Sensor Web Enablement (SWE) standards make all types of sensors, transducers and sensor data repositories discoverable, accessible and useable via the Web. - Observations & Measurements (O&M) - Sensor Model Language (Sensor. ML) - Transducer Markup Language TML) - Sensor Observation Service (SOS) Source: OGC Website SSE Workshop - Sensor Planning Service (SPS) 9
INDEX 03 Finnish Services 04 SSE feedback 05 Current activities based on COPS SSE Workshop 01 COPS project description and objectives 02 Air temperature service 11
Prototype Description Air Temperature Service Objective Generate a Air temperature map Inputs LST MODIS product Air temperature in-situ observations: Tajo River basin testbed FMI Helsinki testbed Air temperature map 1 km spatial resolution. SSE Workshop Output 12
COPS DESCRIPTION SSE Workshop Key facilities: Helsinki Test Bed 13
COPS DESCRIPTION SSE Workshop Key facilities: River Tajo basin hydrometeo stations 14
Prototype Description Air Temperature Algorithm § § Land Surface Temperature MODIS data Usage of in-situ sensor networks temperatures to correlation Generation of an Air Temperature Map SSE Workshop § 15
Prototype Description Air Temperature Prototype SSE Environment: SSE Portal + BPEL PM LST MODIS URL Geo. Location MODIS URL Orchestration Service (1) Air Temperature Map Indra DMZ Tajo Basin sensor network Observation Service (2) Spanish SOS Service Processing Service (3) Finnish SOS Service Helsinki FMI sensor network SSE Workshop Input data is given by user 16
Prototype Description SSE Workshop Service input screenshot 17
Prototype Description SSE Workshop Service output screenshot 18
Prototype Description Service screenshots SSE Workshop SOS server integration with SSE SOS client 19
Prototype Description SSE Workshop Output products 20
Prototype Description Output product SSE Workshop Tajo River basin area 21
Prototype Description Output product SSE Workshop Helsinki area – interoperability test 22
INDEX 03 Finnish Services 04 SSE feedback 05 Current services based on COPS SSE Workshop 01 COPS project description and objectives 02 Air temperature service 25
Finnish services on SSE § Services deployed on SSE: § § WFS: Temperature, Helsinki Testbed Ground WCS: Mixing Height, Helsinki Testbed Can be found on SSE under: 2. Thematic Services § Atmospheric Monitoring SSE Workshop § 26
SSE Workshop Architecture 27
Product for SOS and WFS services 1 -hour temperature average january to may 2009 HTB Stations Based on Mapserver Field Comment Station. Id Alphanumerical station id Time Date and Time of the measurement according to the format YYYY-MMDDThh: mm: ss. Z. longitude Longitude in degrees, in the range of the HTB stations [22. 6. . 27. 5] Latitude in degrees, in the range of the HTB stations [59. 3. . 68. 5] Altitude from sea level in metres temperature 1 -hour average temperature from minute 0 to minute 59 observation. Type “Ground. Level” or “Mast. Observation” SSE Workshop § § 28
SSE Workshop HTB Stations 29
30 SSE Workshop
WCS: Mixing height: key parameter in air quality models § No direct way to measure SSE Workshop § 31
Mixing height computation § Vertical Temperature profiles from § WCS server based on THREDDS application § MODIS infrared radiances, 2 D § In situ measured temperature § Statistical correlation radiances vs. vert. profiles SSE Workshop § Provides also OPe. NDAP interface 32
01 COPS project description and objectives 02 Air temperature service 03 Finnish Services 04 SSE feedback 05 Current services based on COPS SSE Workshop INDEX 33
SSE feedback Advantages § § SSE provides the base infrastructure that allow to make easier the development of EO services. § It allows us to concentrate the efforts in the service content. SSE allows us to reach a wider user community. Difficulties BPEL issues related to the development tools. SSE Workshop § 34
01 COPS project description and objectives 02 Air temperature service 03 Finnish Services 04 SSE feedback 05 Current activities based on COPS SSE Workshop INDEX 35
Current activities based on COPS TELERIEG SUDOE INTEREG project (leaded by IMIDA, Murcia, Spain) Objective: SSE Workshop Study the usage of remote sensing data for recommendation and follow up of the irrigation methods. 36
Current activities based on COPS TELERIEG Indra Espacio is in charge of developing an automatic processing system of NOAA data for the systematic generation of following data: - LST - Air Temperature - NDVI - Albedo - Evapo. Transpiration SSE Workshop These data will be used to improve the irrigation methods. 37
NOAA automatic processing system System Description Data Archive Data Acquisition Catalogue Browser Data Archive NOAA AVHRR Data Rolling buffer Air Temperature Product Processing unit Production supervision NOAA Station Temperature observations Sensor networks SOS Server Temperature observations System backend Web functions SOS Server AVHRR Geo-corrected Land Surface Temperature In-situ Observations Air Temperature Evapo. Transpiration NDVI Albedo SSE Workshop NOAA AVHRR L 1 B 38
NOAA automatic processing system System Description Data Archive Data Acquisition SSE Data Archive NOAA AVHRR Data Rolling buffer Air Temperature Product Processing unit Production supervision NOAA Station Temperature observations Sensor networks SOS Server Temperature observations System backend Web functions SOS Server AVHRR Geo-corrected Land Surface Temperature Air Temperature Evapo. Transpiration NDVI Albedo SSE Workshop NOAA AVHRR L 1 B In-situ Observations 39
With the support from SSF, FMI, VTT and Vaisala SSE Workshop Massimo Ferraguto Miguel Angel Herrero 40
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