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Challenges and Opportunities for Image Use: UK England 2016 Control with Remote Sensing
CYIENT © 2016 CONFIDENTIAL11/24/2016
Eamonn ProwseManuel Sanabria
11/24/2016 CYIENT © 2016 CONFIDENTIAL
About Rural Payments Agency for England and Cyient
3
21Nationalities
14,000+Global Workforce
AerospaceEnergy and Natural Resources
Rail Transportation Off-highwayUtilities
Semiconductor
Communications
Medical and Consumer
Geospatial
Others
38Global LocationsRural Payments Agency (RPA) is the CAP
paying agency for EnglandCyient work alongside RPA as Digitising and Remote Sensing Service ProviderComputer Aided Photo Interpretation (CAPI) control BPS claims and checks:
Land eligibility parcel boundaries, splits and merges, land covers, eligible and ineligible featuresCrop diversification & EFA land uses (crop types)
$472mGlobal Revenue (2016)
11/24/2016 CYIENT © 2016 CONFIDENTIAL
Cyient Marquee geospatial clients - Global
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LA CountyOrthophoto generation
Triumph Aero Structures
Supply Chain Management Scheinder Electric
Live trip information for passengers
Town of Glastonbury, CTLarge Scale Base Map creation
TomTomData Update,
Application Development
Rural Payment Agency
Update and maintain rural map cadaster
Ordnance Survey (OS)
Map updateDefence EstateManagement of estate portfolio
Digital GlobeElevation modeling and
Airport mapping
Occidental PetroleumData management and
ESRI integration
Loudoun CountyPlanimetric and
topographic mapping
SURVY OF INDIAICZM
Government of Karnataka
Urban property ownership records
Survey Commissioner and Director of Land Records
GandhinagarResurvey Gandhinagar
HARSAC Land records modernization
Bihar Government Land records modernization
DLPE LiDAR data processing
ALGGICapturing of
topographical data GHD
Orthophoto generation
CoreLogicGIS mapping and
LiDAR data processing
Aerial Surveys LimitedTopography and LiDAR
data processing
11/24/2016 CYIENT © 2016 CONFIDENTIAL
Covering:
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Control with Remote Sensing (CwRS) in England
Analysis of use of Pleiades 1B as Very High Resolution (VHR) imagery compared to other VHR sources
A hybrid spectral model for large scale crop classification using high resolution multi-sensor data.
11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/2016
Processing Scope:15 Zones throughout England- 250K+ Agricultural parcels processed- 45+ Crop types discrimination required- 12,969 sq. Km covered
1. TASKS / REQUIREMENTS
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Requirements:Classification cover the majority of the crop types.Accuracy
Splitting Accuracy: 70%
Land Use 85% Overall accuracy.60% Class-specific accuracy.
11/24/2016 CYIENT © 2016 CONFIDENTIAL
GeoEye_1_SPEN_10_04_2016Characteristics
2. INPUT DATA (Raster)
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SPOT6_SPEN_09_05_2016Characteristics
Pleiades_MICK_09_05_2016Characteristics
Sentinel_2_MICK_20_04_2016Characteristics
MICK ZONE
MICK Vs SPEN
11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/20168
IMAGERY ACQUISITIONRPA found that the Pleiades 1B zone (MICK) took the longest to acquire imagery, however, this was due to:
a) Only one sensor flying over the zone which decreased the number of sensor passes for imagery acquisition (instead of WorldView 2 (WV2), WV3, and GeoEye)b) Zone MICK was one of the largest areas (1600km²) whereas the majority of the other RS zones were 1000km² in area or less.c) The zone is located in the north of England which long term weather statistics show is mostly covered with cloud.
The table below shows the imagery acquisition of zones MICK and SPEN which have similar weather conditions
3. PLEIADES 1B ANALYSIS FINDINGS (Pre-CAPI)
Zone VHR1 AcquisitionWindow
VHR1 AcquisitionDate
Days taken to capture full VHR1
VHR2 AcquisitionWindow
VHR2 AcquisitionDate
Days taken to capture full VHR2
MICK 15/04/16 30/05/16
09/05/16 24 days 13/06/16 15/08/16
19/07/16 & 15/09/16 94 days
SPEN 01/04/1614/06/16
12/04/16 (GeoEye1) 11 days 27/06/16
07/09/1616/07/2016
(WorldView3) 19 days
11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/20169
IMAGERY PROCESSINGLike all other VHR zones (sourced from WV2, WV3, and GeoEye), the raw 4 band multispectral and panchromatic data was orthorectified, pansharpened(to 50cm) and colour balanced in line with the OTSC requirements.
4. PLEIADES 1B ANALYSIS FINDINGS (Pre-CAPI)
Orthorectification RMSE value <2m
RadiometryContrastHistogram Peak Overall clipping
11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/2016
Processing:
5. INPUT DATA (vector)
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Splitting
GROUND TRUTHING SAMPLING PLANReferenceParcelLayer
NDVI multi-temporal stack for multi-crop delineation
Proportion matchEfficiency
KEY:
11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/2016
6. CHALLENGES
11Sentinel 2 catalogue
MULTISENSORMULTITEMPORALITYIMAGE AVAILABILITY
Zones covered with a combination of sensors /at different times inside the acquisition windows.LESS 5% CCBETWEEN 6-20% CC 11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/2016
7. CHALLENGES
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CROP CALENDARCROP VARIABILITY
PlantingGrowth SeasonHarvest
DIVISION INTO MAJOR AND MINOR CROPSREJECTION OF NON REPRESENTATIVE CROP TYPES
Considered in the ground truthing sampling planCrop phenology
11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/2016
8. ANALYSIS
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Pre-processing Classification Post-processingDATA
CATALOGUINGORTHORECTIFICATION
VEGETATION INDEX
GENERATIONMASKING
RAST
ER
REFERENCE PARCEL
PROCESSINGGROUND TRUTH
PROCESSING
VECT
OR
RANDOM FOREST PIXEL BASED
CLASSIFICATION
DECISION TREE PIXEL BASED
CLASSIFICATION
VEGETATION INDEX INTEGRATION
SAVI
GNDVINDVIZONAL
STATISTICS
ACCURACY ASSESSMENT
11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/2016
9. RESULTS
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020406080
100120
Accur
acy (%
)
Crop Types
SPEN MICK
Class-specific AccuracyMICK vs SPEN
Overall Zone Accuracy
11/24/2016 CYIENT © 2016 CONFIDENTIAL11/24/2016
10. ACHIEVEMENTS
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AREA COVERED IN THE ANALYSIS CROP TYPES REQUIRED CLASSIFIED
AGRICULTURAL PARCELS PROCESSED DELIVERY TURNAROUND
AVERAGE ACCURACY ACHIEVED IN THE AUTOMATED CLASSIFICATION PRE-CAPI.
CYIENT © 2016 CONFIDENTIAL11/24/2016
Thank you for your attention
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