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!