the geo global agricultural monitoring (geoglam) initiative

The GEO Global Agricultural Monitoring (GEOGLAM) Initiative

Chris JusticeGEOGLAM Global Co-Lead

The Center for Agricultural Monitoring Research,

Department of Geographical Sciences,

University of Maryland USA

GEOGLAM• Launched by G-20 in 2011 (French Presidency), under the Action

Plan on Food Price Volatility and Agriculture and re-affirmed in 2016

• Vision: Provision of actionable, science-driven, open, information at sub-national to global scales, that guides policies, investments and decisions in food security, crop productivity and agricultural markets– Through use of coordinated, multi-sensor, Earth Observations

(EO)– Recognizing the need for more reliable, open, transparent

information on agriculture www.geoglam.org

Presenter

Presentation Notes

Objective: Strengthen the international community’s capacity to produce and disseminate relevant information on agricultural production at national, regional and global scales, through earth observations

GEOGLAM: an International Collaborative Initiative• Based on common interests, leveraging domestic and international

research and development activities• Strengthening existing national and international agricultural monitoring

systems • Foundation in user-driven operational R&D

– Emphasis on identifying information needs and transitioning research to operations - building capacity for sustained monitoring

• The Initiative is being Implemented through Contributory Projects – you can join in

• Governance Structure– Advisory Committee (co-chaired by US and China) – Secretariat at GEO Secretariat (located w. WMO) in Geneva – Distributed implementation Team with Project Leads

Presenter

Presentation Notes

Objective: Strengthen the international community’s capacity to produce and disseminate relevant information on agricultural production at national, regional and global scales, through earth observations

GEOGLAM Terminology • Earth Observations (EO)

– Satellite and in-situ data (e.g. from meteorological ground stations)– Timely information products and model output– Data > products and services > reliable Information – Validated i.e. of known accuracy

• The GEOGLAM Community of Practice – Data Providers, Researchers, Operational Agencies for Agricultural

Monitoring (e.g. Ministries of Agriculture, Hydromet and Ag Statistics) and Many Others

– Providing decision support for markets and policies • From Research to Operations

– Moving robust research methods into the operational domain– Challenging for all countries – Issue of capacity, resources and institutional roles and sustainability

The GEOGLAM CommunityOpen Community made up of international and national agencies concerned with agricultural monitoring

including Ministries of Ag, Space agencies, Universities, & Industry

5 / 21

Can we identify some partners from South and Southeast Asia

http://www.csiro.au/

http://www.csiro.au/

Strengthened Monitoring Systems

National • Regional • Global

Research-to-Operations Capacity Development for EO

Operational R&DMethod Development &

Improvement

Ag Meteo &Climate Services

Agricultural Subsidies

Insurance & Investments

Outlooks for Markets &

Trade

Farm Advisory & Extension

National & International Food Policy

Public Space Sector

Vulnerability & Impact

Assessments

Science-Based Information

Decision • Policy • Action

Sustainable Development

Goals

EO Data Coordination

AcquisitionAccess

Continuity

In-situ & Crowd-sourcing

Commercial Space Sector

Support to Food Aid

Organizations

Presenter

Presentation Notes

Animated version

What does GEOGLAM Provide?• A platform for multi-lateral and bilateral cooperation

– coordination on provision and use of Earth Observations for agricultural monitoring

– forum for exchange of experience, tools, methods best practices

• R&D in support of operational systems• Translating EO data into policy relevant information

–Bridging the gap between EO-science & the Economics / Policy communities

• Articulating and advocating community observation requirements and information needs to EO data providers

Presenter

Presentation Notes

Increasing communication and sharing experience amongst the �Ag Monitoring Community of Practice & with related programs - Promoting EO-based approaches for operational agricultural monitoring - Translating EO data into policy relevant information - Articulating and advocating community requirements �to EO data providers - Method testing & inter-comparison, developing best practices - Raising the importance of agricultural remote sensing & developing new monitoring capabilities & products - Helping improve national agricultural monitoring systems Recognizing EO part of puzzle activities that cannot be done nationally

Free & Open Access to EO data, information, tools is a critical component

More access = more users More users = better methodsBetter methods + good data = improved quality of information

Improved quality of information supports better decision making and mitigates food insecurity.

Restrictive data policies are missed opportunities.

Source: USGSwww.geoglam.org

http://www.geoglam.org/

9

S-1 A/B/C/D

S-x Next Generation

S-2 A/B/C/D

S-x Next Generation

S-3 A/B/C/D

S-x Next Generation

S-4 A/B (on MTG)

S-5 Precursor

S-5 A/B/C (on MetOp-SG)

S-6 A/B

Access to Contributing Missions

Sentinels – New Era of ObservationsEU-ESA Copernicus Space Programme

Need for Timely Information on: • Cropland Area • Crop Calendars, Crop Rotation • Area Planted • Crop Type (within season) • Crop Condition (within season)• Crop Yield Estimates (within season) • Crop Production Assessments (within season)

• Agricultural Land Use Change– Intensification, Increase or loss of agricultural land, Changing

cropping systems, Land abandonment, Aquaculture

GEOGLAM Crop Monitor for AMIS: a core project

• Partnering with the Agricultural Market Information System • Objective: transparent, timely, crop condition assessments in primary

agricultural production areas • Reflecting an international consensus, building on existing systems• 4 Crops: Wheat, Maize, Soybean, Rice • Focus: main production/export countries (G20)

11www.geoglam-cropmonitor.org

Presenter

Presentation Notes

highlighting potential hotspots of stress or bumper crop

Countries Covered by the Crop Monitors

about 94% of world agricultural area…

71st Session of the Committee on Commodity ProblemsSide Event: Rome, 6 October 2016

Output Crop Condition Maps Covering AMIS CropsConditions as of September 28th 2016

Crops that are in other than favorable conditions are displayed on the map with their crop symbol & driver.

Quick and easy to interpret crop conditionsoriented for econ and policy communities

Presenter

Presentation Notes

Update Update

71st Session of the Committee on Commodity ProblemsSide Event: Rome, 6 October 2016

Conditions at a Glance

14

Rice conditions for Southeast Asia have generally improved and are favourable, most notably in India, Indonesia, and the Philippines. However, there is some concern over heavy rainfall in northern Viet Nam and over flash flooding and delayed start of the season in Thailand. Conditions remain mixed for China.

Operational Monthly Bulletin Since 2013Published in the AMIS Market Monitor

• Successful collaboration between two G20 initiatives• Bridging the gap between the EO and Econ communities• First time the international community comes together to

produce operational assessments

10th Session of the AMIS Global Food Market Information Group

Product Updates: AMIS-GEOGLAM Crop Calendar

16

Asia Rice Crop Mask

17Looking for improved crop masks and calendars

Presenter

Presentation Notes

30 seconds

71st Session of the Committee on Commodity ProblemsSide Event: Rome, 6 October 2016 18

Crop Conditions in May 2016 showing devastating effects of southern Africa drought that left millions in need of humanitarian assistance

The GEOGLAM Early Warning Crop Monitor

Focused on countries most vulnerable to food insecurity

GEOGLAM Early Warning Crop MonitorMonthly Reporting Since February 2016

19

• Suggestion from South Africa to develop a regionally focused crop monitor for sub-Saharan Africa- currently under discussion with regional partners

Early Warning Crop Monitor Published 9th Edition & continues to expand regions and partnerships

20 / 10

Initiation of National Crop Monitors: Tanzania Example

Presenter

Presentation Notes

Emphasize that national systems want to use EO data – but capacity development is crucial, as is access to the appropriate data. We are also adapting the Crop Monitor system to the national context – representing national significant crops, geographies, and drivers – here’s an example for Tanzania. Enhancing national systems is at the core of GEOGLAM’s mandate – so migrating and adapting achievements in the global and regional context into the national systems is very important for us.

Decades of earth observation research has led to the development of innovative agricultural monitoring capabilities that are, or close to being operational:

o Crop type, area and condition.o Snow cover, Soil moisture, Excessive wetness, Drought. o Climate and weather related impacts on production.o Crop yield forecasting.o Harvest progress monitoring.o Soil management (tillage, crop residue). o Biomass production.o Crop damage, disease and pests.o Soil health.

Canada: Earth Observation Working for Agriculture

Vision: To understand the state of Canadian agricultural production from pre-planting conditions through to post harvest conditions.

Operational

In Development

21

Planned

Presenter

Presentation Notes

To build a sustainable and resilient agricultural sector, we need to know what is being grown and where, how it is being impacted throughout the growing season, and what is produced at the end of each year. AAFC is well positioned through decades of experience to use existing and future EO technologies. EO work at AAFC spans full Research-Development-Transfer continuum. All EO (Agro-Climate, Space based EO, Geomatics, and Soils) Approximately 50 staff; 20%R-50%D-30%T) plus students and post docs (12) Space Based EO alone approximately 14 (50%R and 50%DT) plus students and post docs (8) EO is already used in various monitoring activities operationally, and R&D is working to expand its use into other critical areas.

o Based on RADARSAT-2 and optical imagery.o Maps every farm field in Canada at ≥ 80%

accuracy.o Consistently one of the top data sets

downloaded from data.gc.ca.o Used for programs and policy and a broad

range of OGD, Provincial and sector uses… (eg. Next slide)

Current Operational Systems: Canada

Annual Crop Inventory

2014 Crop Inventory

Crop inventory, Winnipeg

Area

22

Presenter

Presentation Notes

The Annual Crop Inventory is AAFC’s most visible and utilized operational data product. Maps crop type of every single field in Canada at high accuracy (rigorously assessed and documented). Heavily relies on RADARSAT-2 data. RCM data will be critical when it comes online. Uses span AAFC, Federal and Provincial Government, Industry, Academia, Commodity Groups. The system was built by AAFC based on 10+ years of R&D during the 2000’s with significant peer reviewed science during development phase Operational since 2009. CSA GRIP funding provided instrumental support for the R&D to operational implementation. Globally AAFC’s crop monitoring activity is leading edge, state of the science

Vinh Long

Asia-RiCE: Vietnam Rice monitoring using Sentinel-1A data

03-02-2015

Long Xuyen

Can Tho

Thap Muoi

The Mekong Delta, Vietnam300 km x 300 km20 m resolution

Rice: early stageRice: tillering stageRice: reproductive stageRice: maturity stageNon rice (forest, other LULC)Water (ocean, river, aquaculture)Land outside the Vietnam Mekong delta

03-02-2015


27-02-2015

Vinh Long

27-02-2015

Long Xuyen

Can ThoVinh Long

23-03-2015

Long Xuyen

Can Tho

Thap Muoi


23-03-2015

Vinh Long

04-04-2015

Long Xuyen

Can Tho

Thap Muoi


04-04-2015

Monitoring of Winter-Spring rice

100 km x 70 km, 20 m resolution

National Level Crop Area Estimation (USA) Soy Example Using Multi- Resolution Data

• A Sample based approach• 70 sample blocks, in 3 strata, to estimate in season

soybean cultivated area

• Satellite based estimate: 351,317 km2 (SE 24,915)• USDA NASS 2015 soybean estimate: 334, 000 km2

High soybean stratumMedium soybean stratumLow soybean stratumVery low soybean stratum

Hansen et al. 2014

EARLY AREA INDICATOR

EARLY AREA INDICATOR

Binary map identifying annually cultivated land at 10m updated every month

Crop type map at 10m for the main regional

crops including irrigated/rainfed

discrimination

Vegetation status map at 20m delivered every 10 days (NDVI, LAI, pheno index)

Monthly cloud free surface reflectance composite at 10-20m

New Sentinel 2-based Productsaligned with the GEOGLAM core products

Defourny et al

http://www.jecam.org/

http://www.jecam.org/

New products from Sentinel 2 Agri(Including national 10 m crop type)

Kiev (SRI) Kiev (Sen2-Agri) Stat % Mykolaiv (SRI) Mykolayiv (Sen2-Agri) Stat %Maize 314.9 312.6 268 15.9 99.7 166.4 132.8 25.3Winter wheat 204.5 262.4 197.2 33.2 480.6 481.0 331.8 45.0

pixel pixel

Research Foci at the Joint Experiment for Crop Assessment and Monitoring (JECAM) Sites

(JECAM co leads: Ian Jarvis (Canada), Pierre Defourny (Belgium)) Developing and Comparing Methods for: • Crop Type mapping • Crop Condition monitoring • Yield Estimation modeling • Soil Moisture estimation• Residue and Tillage monitoring etc.• JECAM field data collection and validation protocols and

intercomparisonsJECAM.org

Cảm ơn

Presenter

Presentation Notes

the geo global agricultural monitoring (geoglam) initiative

Documents