nataliia kussul space research institute nasu-nsau eo for agriculture monitoring in ukraine within...
TRANSCRIPT
Nataliia Kussul
Space Research Institute NASU-NSAU
EO for agriculture EO for agriculture monitoring in Ukraine within monitoring in Ukraine within international initiatives international initiatives GLAM and JECAMGLAM and JECAM
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Who we are: Current Expertise & Who we are: Current Expertise & International ActivitiesInternational Activities
• Space Research Institute National Academy of Science & National Space Agency of Ukraine
– Department of Space Information Technologies
• Active participation in the Working Group on Information System and Services (WGISS) of the Committee on Earth Observation Satellites (CEOS).
• Participation in international collaborative activities within GEO Working Plan
• UN-SPIDER RSO
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Space Research Institute (Ukraine) Space Research Institute (Ukraine) in GEOSSin GEOSS• GEO 2012-2015 Work Plan
– IN-05 GEOSS Design and Interoperability
• Architecture Implementation Pilot 2 (AIP-2)
– “Sensor Web for Flood Applications”
– DI-01 Informing Risk Management and Disaster Reduction
• “Namibia SensorWeb Pilot Project”– AG-01 Global Agricultural Monitoring
and Early Warning• GEO-GLAM• JECAM
• GEO-UA Conference on “Earth Observations for Sustainable Development and Security” (2008, 2010, 2012)
Prof. José Achache, GEO Secretariat Director, at GEO-UA Conference, 2008
Meeting at University of Maryland on GEO-GLAM and JECAM, 2011
Meeting at NASA on Namibian SensorWeb Project, 2011
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JECAM-UkraineJECAM-Ukraine
• Test sites were officially established in 2011
• Test sites– Kyiv oblast (SRI)
• Crop area estimation• In-situ measurements
– crop types, along the roads and segment surveys
– Pshenychne (National University of Life and Environmental Sciences of Ukraine)
• Biopar parameters retrieval and crop growth model calibration
• In-situ measurements– crop types, crop height, LAI, fCover, soil parameters
– Lviv oblast (The State Science-Technological Centre of Soil Fertility Protective)
• Crop rotation identification
Administrative map of Ukraine and location of Kyiv and Lviv region
Map of intensive observation sub-site
Relationship between humus and satellite-derived biomass
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JECAM-related tasks (cont’)JECAM-related tasks (cont’)
• SOAR-JECAM
– “SAR parameters optimization for crop classification”
• Based on Radarsat-2 quad-polarized images
• GEO-GLAM
– Winter Wheat Yield Forecasting for the whole Ukraine
– Based on satellite data, meteorological observations, crop growth model
• ESA Sentinel2-Agriculture
– Participation as a “Champion User”
– SPOT-4 will observe JECAM Ukraine every 5 days to simulate Sintenel-2
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Methodology: the EC project “Methodology: the EC project “The Monitoring The Monitoring Agricultural ResourceSAgricultural ResourceS”” (MARS) (MARS)
• Project ЕС JRC “Crop area estimation with satellite images in Ukraine”, 2009-2011
Satellite data Ground data
Processing· Orthorectification· Segmentation· Classification
Stratified Area Frame Sampling
Along the road survey
% pixe ls classified as cerea ls
% o
ats
in
gro
un
d s
urv
ey
SegmentsCrop field boundariesLC map
Area estimates(pixel counting)
Data fusionAdjustment of area
estimates(Regression estimator)
Final results· Area estimates· Accuracy
assessment
Data:• MODIS• AWiFS• Landsat-5/TM• LISS-III• RapidEye
The benefit from satellite data usage:
Decrease of work cost in 1.5 times
Area frame sampling (segments) and along the road surveys (curves)
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SOAR-JECAMSOAR-JECAM
• SAR parameters optimization for crop classification
• Data– Radarsat-2 (quad-pol)
• 27 and 30 August 2012– EO-1/ALI
• 28 July and 05 August 2012
• Major crop types– Maize– Soybeans– Sunflower– Sugar beet– Winter and spring crops (wheat)
Radarsat-2, 2012-07-30
EO-1, 2012-08-05
RADARSAT-2 Data and Products © MacDonald, Dettwiler and Associates Ltd.(2012) - All Rights Reserved.
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SOAR-JECAM (cont’)SOAR-JECAM (cont’)
• Classification algorithms
– DT
– SVM
– NN (MLP)
• Overall accuracy
– 80.4% (MLP)
Classification map of Radarsat-2 and EO-1/ALI images using ensemble of MLPs
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Crop rotation identificationCrop rotation identification
• Lviv oblast• Satellite data
– Landsat7 (2012.05.10)– Landsat5 (2011.05.25)
• Crop rotation violation– Winter rapeseed
Landsat 5 2011-05-25
Landsat 7 2012-05-10
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Winter wheat yield forecastingWinter wheat yield forecasting
• Three approaches– empirical regression-based model using MODIS data,– empirical regression-based model using meteorological
parameters, and– adapted for Ukraine Crop Growth Monitoring System
(CGMS) based on WOFOST crop growth simulation model and meteorological parameters;
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Winter wheat forecast for 2012Winter wheat forecast for 2012
• Operational forecasting of winter wheat yield in Ukraine for 2012 based on Earth observation
Winter wheat forecasts for Ukraine for 2012 as of 2 June 2012
0
10
20
30
40
50
0 10 20 30 40 50
Observed, c/ha
Pre
dic
ted
, c/h
a
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Collaboration with Univ. of Maryland Collaboration with Univ. of Maryland on GEO-GLAMon GEO-GLAM
• Meeting in College Park, MD, USA, 07 November 2011– Discussion of tasks and current
results in JECAM, and participation in GEO-GLAM
• Meeting on GEO-GLAM in Kyiv, 07 April 2013– Discussion of progress in
JECAM and SOAR-JECAM– Participation of Ukraine in GEO-
GLAM Implementation Phases 1 and 2
Meeting at University of Maryland on GEO-GLAM and JECAM, 2011
Meeting in Kyiv on GEO-GLAM
and JECAM, 2013
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Geoportal: delivery of EO Geoportal: delivery of EO products (jecam.org.ua)products (jecam.org.ua)
soybean, 90 ha
Not planted, 40 ha
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Thank you!