remote sensing-based information and insurance for crops in emerging economies riice remote sensing...

REMOTE SENSING-BASED INFORMATION AND INSURANCE FOR CROPS IN EMERGING ECONOMIES

RIICE Remote Sensing based Information and

Insurance for Crops in emerging Economies


RIICE - partners:

Calibration and validation of existing rice crop growth models. Work with regional partners.

Convenes aggregator networks and trains them to pass on the solutions as micro-insurance products (jointly with Allianz Re).

Key donor of the programme

that also organises the knowledge

management of the programme.

Development of insurance solutions based on the data provided by sarmap and IRRI.

Provision of innovative customized earth observation based products and services.


helps Governments and NGOs to mitigate the impact of food shortages.

Feeding seven billion people requires a 70% increase of food production until 2050.

helps to decrease the vulnerability of smallholder farmers and betterCrop insurance

Crop growth information


2

3

targets:RIICE project7 countries, 5 million farmers in 5 years.

Reduce the vulnerability of 5 millionrice farmers in Asia and beyond to flood and drought over the next 5 years.

Help Governments and NGOs to better plan for food crises through better crop growth monitoring.

Increase efficiency and effective-ness of crop insurance solutions and turn it into a viable business also in emerging markets.

1


90% of is produced and consumed in Asia.Over 70% (900 million) of the world´s poor are in Asia.

the world´s rice

Rice ConsumptionAnnual consumption per capita

Poverty = 250,000 people living on less than $ 1.25 a day (2005)


20 million hectares of rice-cultivated land is vulnerable to flooding.Climate risks:

Climate:

Rice:

Poverty:

If we want to increase resilience against natural disasters and improve food security, then a timely rice information system linked to a crop insurance model is essential.

Flood affects the major rice producing areas of Asia.

Asia is the largest rice market: consumers & producers.

Asia has the highest concentration of poverty.


Why a is needednew approach


Making part of an integrated RIICE risk management approach.

crop insurance

Government‘s options FARMERS BENEFITS

• Disaster relief programmes

• More productive crops

• Better information on yield

• Insurance

• Stabilized income and hence worthy for agricultural credits• Less vulnerability and hence more money available for securer life• Less likely to migrate to cities


Farmers‘ needs:

Farmers‘ risks:

1 2 3access to credit access to seeds access to insurance

1 2 3flood drought lack of irrigation 4 pest and diseases


• Crop calendar• Crop practices• Administrative units

Oryza2000 rice growth simulation model

• Meteo data• Soil data• Phenological data• Management data

Yield estimation Production

• Area• Start and peak of season

dates• Phenological monitoring • Leaf Area Index

MAPscape-Riceprocessing & product

generation

Earth Observation data

Leaf Area Indexin situ point data

The Earth Observation component


A standard product

Municipalities

Yie

ld (

tos/

ha)

0,00

1,00

2,00

3,00

4,00

5,00

6,00

1 3 5 7 9 11 13 15 17 19 21 23 25

Area

Yield

The different colors represent the rice area including the dates of the start of season (rice emergence). The tables list the rice area at municipality level for each acquisition date, while yield is estimated at the peak of season.


Double rice

Single rice

Deep water rice

Rice mixed with other crops

ENVISAT ASAR Wide Swath 2004-2010

Baseline map, 1ha


2011 – first season, start of season 2011 – second season, start of season

2011 – first season, peak of season 2011 – second season, peak of season

Baseline map including phenological monitoring, 1ha


MODIS 2011


Baseline map, 1ha



Rice area during wet season 2012, 3m

Cosmo-SkyMed Stripmap


Date of start of season, 3m

June

September



Date of peak of season, 3m

June

September



Phenological Monitoring – 26 June 2012, 3m

harvest

senescence

peak

tillering – stem extension

flooding

pre-flooding

bare soilCosmo-SkyMed Stripmap


Phenological Monitoring – 12 July 2012, 3m

harvest

senescence

peak


flooding

pre-flooding



Phenological Monitoring – 28 July 2012, 3m

harvest

senescence

peak


flooding

pre-flooding



Phenological monitoring – 13 August 2012, 3m

harvest

senescence

peak


flooding

pre-flooding



Phenological monitoring – 21 September 2012, 3m

harvest

senescence

peak


flooding

pre-flooding



Leaf Area Index at peak of season, 3m

< 1

1 – 2 2 – 3 3 – 4 4 – 5 > 5



Yield estimation

Cartogram maps depict relative rice production where provinces have been distorted based on the proportion of the national rice production in that province. The color shows the average yield gaps (the difference between climatic potential yield and BAS reported yield) for 2006-10. Inset maps show the non-distorted presentation of yield gaps.


Thank you for your attention

remote sensing-based information and insurance for crops in emerging economies riice remote sensing...

Documents

emerging economies rice

emerging economies farmers

crop insurance solutions

crop insurance model

rice farmers

timely rice information

hectares of rice

major rice