EO for agriculture
monitoring in Ukraine within
international initiatives
GLAM and JECAM
Nataliia Kussul
Space Research Institute NASU-NSAU
Who we are: Current Expertise &
International 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
GEPW-7
Space Research Institute (Ukraine)
in 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
GEPW-7
• 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 NASA on Namibian
SensorWeb Project, 2011
Meeting at University of Maryland on
GEO-GLAM and JECAM, 2011
JECAM-Ukraine
• Test sites were officially established in
2011
• Test sites
– Kyiv oblast (SRI)
• Crop area estimation
• In-situ measurements
Administrative map of Ukraine and
location of Kyiv and Lviv region
– 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
Map of intensive observation sub-site
– crop types, crop height, LAI, fCover, soil parameters
– Lviv oblast (The State ScienceTechnological Centre of Soil Fertility
Protective)
GEPW-7
• Crop rotation identification
Relationship between humus and
satellite-derived biomass
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
GEPW-7
Methodology: the EC project “The Monitoring
Agricultural ResourceS” (MARS)
• Project ЕС JRC “Crop area estimation with
satellite images in Ukraine”, 2009-2011
Satellite data
Ground data
Along the road
survey
Processing
·
·
·
Orthorectification
Segmentation
Classification
Stratified Area
Frame Sampling
Area estimates
(pixel counting)
Segments
Data fusion
Adjustment of area
estimates
(Regression estimator)
% o a ts in g ro u n d s u rv e y
Crop field boundaries
LC map
% p ixe ls c la s s ifie d a s ce re a ls
GEPW-7
Data:
• MODIS
• AWiFS
• Landsat-5/TM
• LISS-III
• RapidEye
Final results
·
·
Area estimates
Accuracy
assessment
Area frame sampling (segments) and along the
road surveys (curves)
The benefit from satellite data usage:
Decrease of work cost in 1.5 times
SOAR-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
Radarsat-2, 2012-07-30
RADARSAT-2 Data and Products ©
MacDonald, Dettwiler and Associates
Ltd.(2012) - All Rights Reserved.
• Major crop types
GEPW-7
–
–
–
–
–
Maize
Soybeans
Sunflower
Sugar beet
Winter and spring crops (wheat)
EO-1, 2012-08-05
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
GEPW-7
Crop 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
GEPW-7
Winter 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;
GEPW-7
Winter wheat forecast for 2012
• Operational forecasting of winter wheat yield in
Ukraine for 2012 based on Earth observation
50
Predicted, c/ha
40
30
20
10
0
0
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10
20
30
Observed, c/ha
40
50
Winter wheat
forecasts for
Ukraine for 2012 as
of 2 June 2012
Collaboration with Univ. of Maryland
on 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 at University of Maryland on
GEO-GLAM and JECAM, 2011
• Meeting on GEO-GLAM in
Kyiv, 07 April 2013
GEPW-7
– Discussion of progress in
JECAM and SOAR-JECAM
– Participation of Ukraine in GEOGLAM Implementation Phases 1
and 2
Meeting in Kyiv
on GEO-GLAM
and JECAM, 2013
Geoportal: delivery of EO
products (jecam.org.ua)
soybean,
90 ha
Not planted,
40 ha
GEPW-7
Thank you!
GEPW-7