Remote sensing image correction. Introductory readings – remote sensing .
Online Analysis of Remote Sensing Data for ... - FOSS4G€¦ · Online Analysis of Remote Sensing...
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Online Analysis of Remote Sensing Data for Agricultural Applications Athanasios Karmas* Konstantinos Karantzalos Spiros Athanasiou Institute for the Remote Sensing Laboratory Institute for the Management of National Technical University Management of Information Systems of Athens Information Systems ”Athena” Research [email protected] ”Athena” Research Center Center [email protected] [email protected] innovation.gr innovation.gr July 16, 2014 [email protected] Online Analysis of Remote Sensing Data for Agricultural Applications 1 / 34
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Online Analysis of Remote SensingData for Agricultural Applications
Athanasios Karmas* Konstantinos Karantzalos Spiros AthanasiouInstitute for the Remote Sensing Laboratory Institute for theManagement of National Technical University Management of
Information Systems of Athens Information Systems”Athena” Research [email protected] ”Athena” Research
Center [email protected] [email protected]
innovation.gr innovation.gr
July 16, 2014
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Motivation
Exploit Big Earth Observation (EO) Data
→ Various Sensors, Various Platforms
→ Various Spatial, Spectral, Temporal properties
Make EO data a mainstream
→ Numerous (new) users
→ Easy, ready-to-use geospatial products
Goal: Geospatial Information,Create Accurate Maps
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Problem to Solve
Easy access to EO data archives
Process Multimodal data from various sensors
Develop efficient Services
Offer validated Products
→ Direct processing and analysis of data, onlinewherever needed
→ Efficient spatiotemporal modelling and monitoring(agriculture, urban environment, natural disasters,crisis management and assessment)
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Problem to Solve
Agricultural Applications
Crop monitoring
Precision farming
Creation of accurate agricultural maps
Validated products and agricultural maps
→ Site-specific decisions
→ In time
→ Regardless of the areal extent or the ease ofphysical access
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Technologies
Rasdaman Array DBMS for data storage
OGC WCPS interface standard
GeoExt/OpenLayers javascript libraries
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Developed Platform (I)
RemoteAgri Web GIS System
→ Visualization Services
→ Analysis Services
Utilizes the Landsat 8 dataset
→ Open Data
→ Multispectral, multitemporal satellite imagery
→ Fairly good spatial resolution (30m/pixel)
Landsat 8 raw data are downloaded, stored andpre-processed automatically
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Developed Platform (II)
Core functionality
→ Rasdaman Array DBMS
→ OGC WCPS interface standard
Key features
→ Vegetation Detection
→ Canopy Estimation
→ Water Stress Estimation
Fully covers Greek territory with Landsat 8 imagery
→ New dataset every - apprx. - 16 days
→ 40 scenes per dataset, averaging apprx. 80GBuncompressed
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RemoteAgri WebGIS System
Automated col-lection of newlyacquired datasets
Extract com-pressed and
archive raw data
Radiometriccorrections
(ToA)
Rasdaman
PetaScope
WCPS queriesVegetation Detection, Canopy& Water Stress Estimation
GeoExt/OpenLayers
Pre-processing
Web Client
Figure: The components of the RemoteAgri WebGIS system.
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Implementation Details (I)
Automated Collection & Preprocessing subsystems
Automated acquisition through Web Harvesting
Archive and extract compressed data
Preprocessing to convert to ToA reflectance
Ingestion in rasdaman
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Implementation Details (II)
Rasdaman
Storage of Landsat 8 multispectral data
Suitable data types definition
Array types defined with open bounds
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Implementation Details (III)
Web Client
OpenLayers library
GeoExt library
Client side scripts
→ User interaction
→ Metadata search
→ Construction of WCPS queries
→ Communication with the Server
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Implementation Details (IV)
Developed Agricultural Queries
→ WCPS interface standard
Vegetation Detection
Canopy Estimation
Water Stress Estimation
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Vegetation Detection
Calculates NDVI Index
Creates binary map that distinguishes vegetation fromsoil and urban environment
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Canopy Estimation
Further classification based on NDVI
Zoning the different canopy levels
Monitor vegetation health and growth
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Water Stress Estimation
At satellite temperature values
Converted to Celsius Degrees
Color map that distinguishes different temperature levels
The higher the temperature the higher the probability ofwater stress in irrigated croplands
Must be interpreted in close correlation with the CanopyEstimation query
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Use Case Scenario
An agricultural association
→ Overall state of crops
→ Ability to provide site-specific information
Irrigated croplands in Axios Delta area in CentralMacedonia
→ Rice summer crops (70%)
→ Cotton and corn crops follow
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Results (I)
a. 24/6/2013 b. 10/7/2013
c. 26/7/2013 d. 11/8/[email protected] Online Analysis of Remote Sensing Data for Agricultural Applications 17 / 34
Results (II)
a. 24/6/2013 b. 10/7/2013
c. 26/7/2013 d. 11/8/[email protected] Online Analysis of Remote Sensing Data for Agricultural Applications 18 / 34
Use Case Scenario(II)
Canopy Estimation
→ Crop vigour and state
→ Site-specific decisions
→ Vegetation life cycle monitor
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Results (III)
a. 24/6/2013 b. 10/7/2013
c. 26/7/2013 d. 11/8/2013
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Results (IV)
a. 24/6/2013 b. 10/7/2013
c. 26/7/2013 d. 11/8/2013
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Use Case Scenario (III)
Water Stress Estimation
→ Temperature Map
→ Information about irrigation failures
→ Examine if other factors are responsible for hightemperature
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Results (V)
a. 24/6/2013 b. 10/7/2013
c. 26/7/2013 d. 11/8/2013
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Conclusion & Future Perspectives
Demonstrated the combination of various FOSStechnologies
Presented a robust framework with real time analysispotential
→ Bulk ingestion of geodata from various sensors
→ Further development of the Web Client
→ Incorporation of other OGC interface standards
→ Location based services
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Thank You!
Online Analysis of Remote Sensing Data forAgricultural Applications
Athanasios Karmas* Konstantinos Karantzalos Spiros AthanasiouInstitute for the Remote Sensing Laboratory Institute for theManagement of National Technical University Management of
Information Systems of Athens Information Systems”Athena” Research [email protected] ”Athena” Research
Center [email protected] [email protected]
innovation.gr innovation.gr
July 16, 2014
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Questions
Questions?
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Demo
RemoteAgri WebGIS
ikaros.survey.ntua.gr/remoteagri
Demonstration purposes
RemoteAgri Walkthrough
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Demo
RGB
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Demo
RGB 543
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Demo
RGB 654
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Demo
Vegetation Detection
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Demo
Canopy Estimation
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Demo
Water Stress Estimation
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The End!
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