7th GEOSS-Asia Pacific, Tokyo, May 26-28, 2014
GEOGLAM : Global Agricultural Monitoring
Jai Singh Parihar
- n behalf of GEOGLAM Task Team
GEOGLAM : Global Agricultural Monitoring Jai Singh Parihar on - - PowerPoint PPT Presentation
GEOGLAM : Global Agricultural Monitoring Jai Singh Parihar on behalf of GEOGLAM Task Team (Chris Justice, Shinichi Sobue, Olivier Leo, Wu Bingfang, Derrick Williams, Inbal Becker-Reshef, Ian Jarvis, Terry Newby, Michel
GEOGLAM : Global Agricultural Monitoring
“ We, the G20 Agriculture Ministers, meet today to address the issue of food price volatility with the ultimate objective to improve food security and agree on an “Action Plan on food price volatility and agriculture” that will be submitted to our Leaders at their Summit in November 2011.”
(introduction of the “G20 Agriculture Action Plan”, June 2011)
At risk :
(increase production by + 70% over 2010- 2050)
GEOGLAM : Global Agricultural Monitoring
Corn Monthly Prices $/MT 2002-2012 Wheat Monthly Price$/MT 2002-2012 Soybeans Monthly Price $/MT 2002-2012 Corn Monthly Prices $/MT 2002-2012 Wheat Monthly Price$/MT 2002-2012 Wheat Monthly Price$/MT 2002-2012 Soybeans Monthly Price $/MT 2002-2012
Food price dynamics is not crop specific
Societal impact is global
GEOGLAM : Global Agricultural Monitoring
Trade Demand Stocks Price Supply Policies Finance Two initiatives to increase information availability, quality and transparency :
AMI S AMIS : improve information on markets (FAO) GEO-GLAM GEOGLAM : improve information on supply (GEO)
GEOGLAM : Global Agricultural Monitoring
To strengthen the international community’s capacity to produce and disseminate relevant, timely and accurate information and forecasts on agricultural production at national, regional and global scales, through reinforced use of Earth Observations.
GEOGLAM : Global Agricultural Monitoring
To strengthen the international community’s capacity to produce and disseminate relevant, timely and accurate information and forecasts on agricultural production at national, regional and global scales, through reinforced use of Earth Observations.
GEOGLAM is a « coordination programme », aiming at
International cooperation for the definition of GEOGLAM
+ regional and national meetings and presentations
GEOGLAM : Global Agricultural Monitoring
International cooperation for the definition of GEOGLAM
+ regional and national meetings and presentations
GEOGLAM : Global Agricultural Monitoring
Forecasting Agricultural output using Space, Agrometeorology and Land based observations (FASAL) Land Observations
MULTIPLE IN-SEASON FORECAST
Pre- Season
Early- Season Mid- Season State Pre- Harvest State Pre- Harvest District Cropped are a Crop conditio n Crop acrea g e Crop yie ld Revised Assessing Damage Crop ar e a & Production Crop ar e a & Production
ISRO, 1997
International cooperation for the definition of GEOGLAM
+ regional and national meetings and presentations
GEOGLAM : Global Agricultural Monitoring
Forecasting Agricultural output using Space, Agrometeorology and Land based observations (FASAL) Land Observations
MULTIPLE IN-SEASON FORECAST
Pre- Season
Early- Season Mid- Season State Pre- Harvest State Pre- Harvest District Cropped are a Crop conditio n Crop acrea g e Crop yie ld Revised Assessing Damage Crop ar e a & Production Crop ar e a & Production
ISRO, 1997
International cooperation for the definition of GEOGLAM
+ regional and national meetings and presentations
GEOGLAM : Global Agricultural Monitoring
Forecasting Agricultural output using Space, Agrometeorology and Land based observations (FASAL) Land Observations
MULTIPLE IN-SEASON FORECAST
Pre- Season
Early- Season Mid- Season State Pre- Harvest State Pre- Harvest District Cropped are a Crop conditio n Crop acrea g e Crop yie ld Revised Assessing Damage Crop ar e a & Production Crop ar e a & Production
ISRO, 1997
The 26th CEOS Plenary – Bengaluru, India - 24-27 October, 2012
GEOGLAM : Global Agricultural Monitoring
SYSTEM OF SYSTEMS Main producer countries, main crops
DEVELOPMENT for agricultural monitoring using Earth Observation
AT RISK Food security assessment
Stakeholders Governments AMIS FAO
The 26th CEOS Plenary – Bengaluru, India - 24-27 October, 2012
GEOGLAM : Global Agricultural Monitoring
SYSTEM OF SYSTEMS Main producer countries, main crops
DEVELOPMENT for agricultural monitoring using Earth Observation
AT RISK Food security assessment
Stakeholders Governments AMIS FAO
Agricultural Expertise (GEO CoP, FAO) Meteorological Expertise (WMO) Earth Observation Expertise (CEOS)
Satellite / ground data / models
The 26th CEOS Plenary – Bengaluru, India - 24-27 October, 2012
GEOGLAM : Global Agricultural Monitoring
SYSTEM OF SYSTEMS Main producer countries, main crops
DEVELOPMENT for agricultural monitoring using Earth Observation
AT RISK Food security assessment
Stakeholders Governments AMIS FAO
Agricultural Expertise (GEO CoP, FAO) Meteorological Expertise (WMO) Earth Observation Expertise (CEOS)
Satellite / ground data / models
GEOGLAM : Global Agricultural Monitoring Summary: EO Data/product requirements
Developed taking into consideration the observation needs, the derived products they will serve, and regional specificities; ‘CEOS-GEOGLAM July 2012 Montreal)
GEOGLAM : Global Agricultural Monitoring Summary: EO Data/product requirements
Developed taking into consideration the observation needs, the derived products they will serve, and regional specificities; ‘CEOS-GEOGLAM July 2012 Montreal)
300m, daily, optical, superspectral ? Why not better 10-20m, weekly, optical, multispectral 100m, daily, thermal
The 26th CEOS Plenary – Bengaluru, India - 24-27 October, 2012
GEOGLAM : Global Agricultural Monitoring
Northern Hemisphere Crop NDVI Anomalies, Aug 13th, 2012 (Univ. Maryland) – MODIS sensor (VIIRS in the future) Northern Hemisphere Crop LAI Anomalies, Aug 13th, 2012 (Geoland2, FP7) – Vegetation sensor (Sentinel in the future)
Crop Condition Global Outlook : Building I nternational Consensus
Independent and complementary sources
USA Russia Kazakhstan
Ukraine
China India Canada
Current season crop development (2012) Average season development (2000-2011)
Crop condition anomalies, NDVI, August 13th, 2012
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
Quantified assessments
USA Russia Kazakhstan
Ukraine
China India Canada anomaly anomaly anomaly anomaly anomaly
Spring Wheat Spring Wheat Spring Wheat Winter Wheat/ Corn Corn/ Soy
Current season crop development (2012) Average season development (2000-2011)
Crop condition anomalies, NDVI, August 13th, 2012
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
Quantified assessments
The 26th CEOS Plenary – Bengaluru, India - 24-27 October, 2012
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
Coupling EO data with meteorological data
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
From global monitoring to national monitoring :
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
From global monitoring to national monitoring :
Potato Rice Wheat Corn Soybean Groundnut Sorghum Sugar crops Cotton Rapeseed/Canola
Range of Crop Calendars Range of Crop Calendars
The 26th CEOS Plenary – Bengaluru, India - 24-27 October, 2012
GEOGLAM : Global Agricultural Monitoring
JUNE 30, 09 JUNE 30, 08 JULY 15, 09 JULY 15, 08 JULY 31, 2009 JULY 31, 08 AUG 15, 09 AUG 15, 08 AUG 15, 09 AUG 15, 08
Crop Acreage Forecast Maps: Assessment of soil moisture availability for planting of rice and sowing of millets using satellite based rainfall estimates (Irrigation to be accounted separately). Graphs: Model prediction of area planted/sown using soil moisture and crop calendar
1.4 L ha (2009)
10.6 L ha (2008) 60.1 L ha (2009)
97.1 L ha (2008) 168.5 Lha (2009)
239.6 Lha (2008) 224.9 Lha (2009)
229.3 Lha (2008) 242.8 Lha (2009)
304.7 Lha (2008)
Expected sowing of coarse cereal in Lakh ha Expected planting/sowing of Rice in Lakh ha Source : ISRO
GEOGLAM : Global Agricultural Monitoring
natural vegetation
Landsat Class Observations
Monitoring agricultural expansion Rondonia, Brazil (USGS / UNEP) Crop Condition Global Outlook : Building I nternational Consensus
Multiple use of EO data: GEOGLAM and GFOI
GEOGLAM : Global Agricultural Monitoring
natural vegetation
pattern on the landscape indicates agriculture fields
Landsat Class Observations
Monitoring agricultural expansion Rondonia, Brazil (USGS / UNEP) Crop Condition Global Outlook : Building I nternational Consensus
GEOGLAM : Global Agricultural Monitoring
natural vegetation
pattern on the landscape indicates agriculture fields
continues to replace forest cover
Landsat Class Observations
Monitoring agricultural expansion Rondonia, Brazil (USGS / UNEP) Crop Condition Global Outlook : Building I nternational Consensus
GEOGLAM : Global Agricultural Monitoring
Max-Planck Institute/ECHAM4 2080s
Monitoring, modeling, simulating Global Change Impacts on Agriculture
Crop Condition Global Outlook : Building I nternational Consensus
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
Rice area and culture type mapping ISRO, 2014
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
Rice area and culture type mapping ISRO, 2014
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
Rice area and culture type mapping ISRO, 2014
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
Rice area and culture type mapping ISRO, 2014
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
IRRI, 2014 Rice Area at country level using MODIS data: a) 500 m, b) 10 km
GEOGLAM : Global Agricultural Monitoring
Crop Condition Global Outlook : Building I nternational Consensus
IRRI, 2014 Rice Area at country level using MODIS data: a) 500 m, b) 10 km
ISRO, 2013
RADARSAT: 12-Oct-2013
Crop Condition Outlook : After the Episodic Events (Cyclone)
GEOGLAM : Global Agricultural Monitoring
RADARSAT: Oct 12, 2013 Need for Pooling Multi- Source Data Quick Turnaround
ISRO, 2013
RADARSAT: 12-Oct-2013 RADARSAT: 14-Oct-2013
Inundation
Crop Condition Outlook : After the Episodic Events (Cyclone)
GEOGLAM : Global Agricultural Monitoring
RADARSAT: Oct 12, 2013 RADARSAT: Oct 14, 2013 Need for Pooling Multi- Source Data Quick Turnaround
ISRO, 2013
RADARSAT: 12-Oct-2013 RADARSAT: 14-Oct-2013
Inundation
RISAT : 16-Oct-2013
Inundation
Crop Condition Outlook : After the Episodic Events (Cyclone)
GEOGLAM : Global Agricultural Monitoring
RADARSAT: Oct 12, 2013 RADARSAT: Oct 14, 2013 RiSAT: Oct 16, 2013 Need for Pooling Multi- Source Data Quick Turnaround
ISRO, 2013
RADARSAT: 12-Oct-2013 RADARSAT: 14-Oct-2013
Inundation
RISAT : 16-Oct-2013
Inundation
RISAT: 17-Oct-2013
Bay Of Bengal
Inundation
Crop Condition Outlook : After the Episodic Events (Cyclone)
GEOGLAM : Global Agricultural Monitoring
RADARSAT: Oct 12, 2013 RADARSAT: Oct 14, 2013 RiSAT: Oct 16, 2013 RiSAT: Oct 17, 2013 Need for Pooling Multi- Source Data Quick Turnaround
The 26th CEOS Plenary – Bengaluru, India - 24-27 October, 2012
GEOGLAM : Global Agricultural Monitoring
SYSTEM OF SYSTEMS Main producer countries, main crops
DEVELOPMENT for agricultural monitoring using Earth Observation
AT RISK Food security assessment
Stakeholders Governments AMIS FAO
Agricultural Expertise (GEO CoP, FAO) Meteorological Expertise (WMO) Earth Observation Expertise (CEOS)
Satellite / ground data / models
GEOGLAM : Global Agricultural Monitoring
GEOGLAM : Global Agricultural Monitoring
Summary
analysis protocol being addressed.
GEOGLAM : Global Agricultural Monitoring