Remote Sensing-based Information and Insurance for Crops in Emerging Economy

Role of Remote Sensing Technology in PMFBY:

The experience from RIICE project in Tamil Nadu

IFPRI Workshop on “Opportunities in PMFBY”, December 21, 2016, New Delhi

Manoj Yadav, Project Advisor-RIICE, GIZ

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

helps

Governments 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 better

Crop insurance

Crop growth information

Rationale

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

Key components of the approach

Remote Sensing, satellite images for crop area estimation and monitoring

Crop Yield Modeling for yield estimation

Application of RIICE derived area and yield information in crop insurance scheme architecture

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

2

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

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

1

RIICE project set-up

Funding and in-country support in two countries

Satellite data procurement & processing

Ground validation & yield modelling

In-country support in three countries; implementation, access to policy-makers,

Insurance product development

02/2012 05/2015 04/2018

Test phase: Technical proof

of concept; «dry-test» of

satellite-supported insurance

products

Scale-up phase: Nation/State-wide

upscaling of yield monitoring in

collaboration with governments.

Implementation of insurance

solutions.

Aims Partners

Timeline

Information on rice production and loss

• How much area was planted this season in each

district/block/village?

• What was the yield in each district/block/village?

• Was production more or less than last year?

• Was the harvest early or late?

• Was there a storm, flood or drought?

– Where and how much area was affected?

– How much yield was lost in such areas?

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

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

Large scale, high

resolution SAR-RS

of rice areas

Crop models

adjusted by

remote sensing

Smartphone based

rapid data

collection

Cloud platforms

scalable, reliable

and always on + + +

All remote sensing data stored, processed and analyzed on the cloud.

All field data collected by mobile phone, sent to the cloud over mobile or Wi-Fi network.

Timely, detailed, and accurate information made available to the users.

Turning the value chain of crop information digital

Leveraging new technologies

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

Rice-YES & ORYZA

Rice yield processing

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

Yield forecast/ estimation

• Crop calendar • Crop practices • Administrative units

• Seasonal Area • Start of season date • Leaf Area Index • Seasonal dynamics • Flood damage • Drought damage

MAPscape-RICE

SAR data processing

Earth Observation data

Leaf Area Index in situ point data

• Production

Software

• MAPscape-RICE by Sarmap, Rice Yield Estimation System (Rice-YES) & ORYZA by IRRI are the central software tools of the RIICE technology

• Remote Sensing provides spatial and temporal information on crop growth including (i) crop establishment date, (ii) leaf area index (LAI)

• Allowing simulation to start at the correct time

• Measures of crops response to environment and management that cannot be easily captured across a large area

Products Input

Field validation is drastically reduced in areas with expertise over time

RIICE processing chain at a glance

validation

validation

REMOTE SENSING-BASED INFORMATION AND INSURANCE FOR CROPS IN EMERGING ECONOMIES Where? Rice area estimates

Rice Map of Kodavasal Block, Tiruvarur District

Rice Map of Vayalore Village, Kodavasal Block, Tiruvarur District

REMOTE SENSING-BASED INFORMATION AND INSURANCE FOR CROPS IN EMERGING ECONOMIES When? Start of season

Cauvery delta region, Tamil Nadu

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

How much? Yield estimates

Rice Yield Map of Vayalore Village of Kodavasal Block, Tiruvarur District, Tamil Nadu

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

Information delivered by RIICE and its national partner Tamil Nadu University, helped relief efforts by distributing seeds in Tamil Nadu flood affected areas, after satellite data had been delivered to the state level emergency authorities.

Information delivered by RIICE helped the government to direct their relief efforts

2015 Tamil Nadu flood resulted in loss of rice area being lost

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

Role of RIICE Technology in PMFBY

Area Existing RIICE

In-season crop area monitoring & yield estimation Determination of progress of area sown/emerged Continuous monitoring of crop health Efficient identification of homogenous/stress areas Disaster mapping and loss assessment Prevented sowing cover and on-account payment Improved targeting/ Smart Sampling of CCE areas

The rice crop is observed by

remote sensing and fieldwork

throughout the season,

resulting in rice crop status

maps

The remote sensing data is

linked to a crop growth model

to estimate and forecast rice

crop area and yield at

district/block/ village etc.

Area, and yield information is applied

in the crop insurance scheme that

cover the farmer´s shortfall in

production.

Overall crop portfolio monitoring,

area and yield estimation, loss and

damage assessment due to natural

disasters

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

From technology to delivery

Thank you

manoj.yadav@giz.de