Building Tools for land cover validation and insitu data collection Steffen Fritz Myroslava LesivLinda See Ian McCallum JuanCarlos Christoph Perger Dmitry Schepaschenko ID: 786480
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Slide1
GEO – SIGMA – Capacity Building Tools for land cover validation and in-situ data collection
Steffen
Fritz
, Myroslava
Lesiv,Linda
See, Ian McCallum,
Juan-Carlos, Christoph
Perger, Dmitry
Schepaschenko
,
Anatoly
Shvidenko
,
Inian Moorthy, Carl
Salk, Martina
Duerauer
, Mathias
Karner
, Tobias Sturn, Christopher Dresel,
Dahlia
Domian, Antonia
Dunwoody, Olha Danylo, Juan-Carlos
Laso
Bayas
Earth Observations Group
Ecosystems Service and Management (ESM)
Slide2Geo-Wiki Engagement Platform
Geo-Wiki is an open platform that provides citizens with the means to engage in environmental monitoring by providing feedback on existing spatial information overlaid on satellite imagery or by contributing entirely new data.
10,000+
Registered users
http://www.geo-wiki.org
/
Slide3Land
Cover
Agriculture
Livestock
Cities
Risk
SIGMA
Biomass
Geo-Wiki Branches
Picture Pile
Cropland Capture
Data Collection Tools
Laco
-Wiki
Pixel Validator
Games for Visual Interpretation
Analytical Tools – Visual Interpretation
In-situ
Tools
Geo-Wiki
Pictures
FotoQuest
GeoODK
…
Slide4LACO-WIKI - Land Cover Validation tool
Slide5OverviewUploadSamplingValidationReporting
Slide6Logging in / Languages
Slide7Configurable Validation Sessions
Slide8Step 1: Data Upload/Management
Slide9Slide10ETRS1989 LAEA Support
Slide11Slide12Step 2: Generate Samples
Slide13Step 2: Generate Samples
Slide14Stratified Vector and Raster Sampling
Slide15Slide16Geometry Validation & Comments
Slide17Accuracy AssessmentRaw data / confusion matrixPossibility to weight confusion matrix by object areaOverall accuracy / errors of omission and commissionKappaAverage Mutual Information (AMI)
Quantitative and Allocation Disagreement (Pontius and
Millones
, 2011)We can add others as required by the community
Slide18In-situ component – LACO-Wiki mobile Based on FotoQuest Austria
Slide19Slide20Steps to get to area estimationUse initial confusion matrix to estimate varianceDefine overall precision needed for the overall class area
Add a second sample (e.g. point sample) and depending on the variance add new sample points needed to reach precision
Legend
c
= Class of interest
h
= Stratum given class
A
= Areap
= Proportion/probability
n
= Sample
Area estimation when stratification occurs:
With Variance and Coefficient of Variation:
Slide21Slide22Slide23Picture Pile
http://
geo-wiki.org/games/picturepile
Slide24Picture Pile
Deforestation Pile
Pending:
Cropland
Human Impact
Oil palm identification
New
scoring mechanism
More reference data based on
expert classifications
Slide25Picture Pile
150+
Players
October, 2015
???, 2015
80,500+
Classifications
90%
< 5 seconds
11 000
Unique images
Deforestation Pile – 1 week
Time (s)
Classifications
Official
launch: October 28
Check it out!
Slide26Slide27FotoQuest GO
http://fotoquest.at
/
Slide28Scaling to FotoQuest
Europe!
FotoQuest
Austria
July, 2015
September, 2015
12 weeks
200+
Players
2000+
Quests
12,000+
Photos
12%
Quests completed
Slide29Geo-wiki pictures
Slide30Managing Pictures in fotoquest – link to CIRAD observatory
Slide31Fill out SurveysEdit Surveys
Send Survey to DB
View Survey on a Map
View OFFLINE Layers
GPS Location
Polygon Feature
GPS Trace
Offline- Maps-LayersLocal Storage
GeoODK
Collect:
Officially Released September 2014
Slide32Mapping & Offline Layers
Open Street Map
MapBox
Tiles (.
mbtiles
)
Google KML
Local StorageOnline/Offline Device Location Functionality
Slide33Offline Mapping of Data
Slide34Thanks!fritz@iiasa.ac.at
Steffen
Fritz, Linda See, Ian McCallum, Christoph
Perger, Dmitry Schepaschenko, Myroslava Lesiv, Inian Moorthy,
Anatoly Shvidenko, Carl Salk, Martina Duerauer, Mathias
Karner, Tobias Sturn, Christopher Dresel, Dahlia Domian, Antonia Dunwoody, Olha
Danylo, Juan-Carlos LasoEarth Observations Group
Ecosystems Service and Management (ESM)