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Early Season Crop Prospect Assessment Using Satellite Data Based Rainfall Estimates. Jai Singh Parihar Dy. Director Earth, Ocean, Atmosphere, Planetary Sciences and Applications Area Space Applications Area, ISRO Ahmedabad 380015 INDIA jsparihar@sac.isro.gov.in

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early season crop prospect assessment using satellite data based rainfall estimates
Early Season Crop Prospect Assessment Using Satellite Data Based Rainfall Estimates

Jai Singh Parihar

Dy. Director

Earth, Ocean, Atmosphere, Planetary Sciences and Applications Area

Space Applications Area, ISRO

Ahmedabad 380015

INDIA

jsparihar@sac.isro.gov.in

3rd Crop and Rangeland Monitoring Workshop, September 26-30, 2011, RCMRD, Nairobi, Kenya

outline of presentation
Outline of Presentation
  • Introduction
  • Rainfall Estimation from Satellite Data
  • Rainfall Based Crop Prospect Assessment
  • Results and Validation
  • Research Opportunity to African Researchers
indian monsoon irrigation and physiography
Indian Monsoon, Irrigation and Physiography

Monsoon withdrawal normal dates

Mean annual rainfall (cm)

Monsoon onset normal dates

Rainy days ( >= 2.5mm/day)

Physiography

Command Area

Height in m

kharif rice and coarse cereals growing regions in india
Kharif Rice and Coarse Cereals Growing Regions in India

Rice Growing Region

Coarse Cereals Growing Region

forecasting agricultural output using space agrometeorology and land based observations f a s a l
Forecasting Agricultural output usingSpace, AgrometeorologyandLand basedobservations (FASAL)

Land

Observations

Conventional

Remote Sensing

Agro

Meteorology

RS, Mod. Re.

Temporal

Cropped area

RS, High Re.

Single date

Crop condition

Econometry

Crop area & Production

Crop acreage

Crop area & Production

Crop yield

MULTIPLE IN-SEASON FORECAST

Pre-

Harvest

District

Revised

Assessing

Damage

Pre-

Season

Early-

Season

Mid-

Season

State

Pre-

Harvest

State

precipitation using insat multispectral rainfall algorithm imsra
Precipitation Using - INSAT Multispectral Rainfall Algorithm (IMSRA)
  • Cloud classification using IR and WV channel observations of INSAT and Kalpana.
  • Creation of a large gridded data base of IR TB’s from INSAT and Polar orbiting - Microwave Satellite rainfall from TRMM –Precipitation Radar
  • Applying Environment Correction factor using forecast model outputs of Precipitable water and humidity.
  • Validation of rainfall using Ground based DWR and rain gauge data, error analysis and fine-tuning of algorithm.
  • Sensitivity studies to derive QPE over various possible spatial and temporal scales.
  • Generation of rainfall products on daily, pentad, monthly and seasonal scales.
slide10

Flow Chart for IMSRA Algorithm

INSAT TIR, WV Data

3 Hourly Image

Conversion from Grey Count to TBs

Look Up Table for Calibration

Grid Average of

IR TBs (0.250x0.250)

Satellite Microwave Rainfall (TRMM/SSMI)

IR and WV - Cloud Classification

Collocation of IR TBs and MW Rainfall

Grid Avg. Rainfall (0.250x0.250)

Estimation of Rainfall

PW & RH Correction

Model PW

& RH Forecast

Rainfall Validation/ Fine Tuning (DWR/SFRG)

Corrected Rainfall

Estimation

Final Rain Rate, Daily, Pentad, Monthly & Seasonal Rainfall

slide17

Soil Moisture based Assessment of Crop Situation (SMACS)

Available Soil Moisture (ASM) in %

Colour Codes:

Red to Yellow (ASM < 50 ): Not suitable for sowing of Crops. Requires irrigation for sowing.

Green to Blue: Suitable for Coarse Cereals.

Deep Blue: Suitable for Rice.

Note:

Suitability does not imply crops have been sown it depends on various other factors.

Not suitable does not imply that no crops are sown as irrigation of the fields is possible.

July 01 – 15, 2008

July 01 – 15, 2009

July 01 – 15, 2011

July 01 – 15, 2010

slide18

Weekly Assessment of Progress in Kharif Rice Acreage

August 31, 2011

August 20, 2011

August 25, 2011

Rainfed rice Area Sown = 30.51 M ha

Relative Deviations -7.3 % (w.r.t. 2010)

+6.3 % (2009 - poor rainfall year)

conclusion
Conclusion
  • Satellite Data Derived Rainfall Provided Good Information on Spatial Distribution.
  • Soil Moisture based Assessment of Crop Situation (SMACS Model) found to be in effective in Forecasting the Crop Prospect Early in the Season.
  • Integration of Water Release in Canal Commands would Increase the Effectiveness of Model in Irrigated Areas.
  • Validation with Mid-Season Estimation of Cropped Area has Confirmed Good Performance of Model.
slide22

Opportunity to AFRICAN Researchers

Initiated in the year 2010

c v raman international fellowship for african researchers for research in india
C V Raman International Fellowship for African Researchers for Research in India
  • Opportunity to African Researchers to Conduct Collaborative Research / Training for 1 to 12 Months Duration at Universities and Research Institutions in India
  • Features
  • Supporting up to one year of research work in India in the area of science and technology
  • Monthly sustenance allowance
  • Additional contingency grant
  • To and fro airfare by economy class
  • Total of 8 fellowships per country
  • Types of Fellowships
  • Post Doctoral Fellowship: Duration 6 months. Maximum of 2 fellowships for each or one fellowship thereof subject to 12 man-months.
  • Visiting Fellowship: Duration 3 months. Maximum 3 fellowships.
  • Senior Fellowship: Duration 1 month. Maximum 3 fellowships.
  • For information see: www.ficci.com
mt products validation using data over african sites
MT-Products Validation using Data over African Sites

Megha-Tropiques is a joint ISRO-CNES programme to study the tropical atmosphere including the convective cloud systems known to strongly influence weather and climate.

Payloads on Megha-Tropiques

  • Microwave imager, MADRAS, aimed at measurements for precipitation, cloud liquid water content, ocean surface winds and total water vapour.
  • Humidity sounder, SAPHIR.
  • ScaRAB radiometer for top of the atmosphere radiation budget measurements.
  • Integrated GPS Radio Occultation (GPS-RO) Receiver.

Africa has a different vertical temperature, humidity and wind structure compared to Indian region. It is important to understand how the retrieved products are sensitive to the local vertical profiles.

African Monsoon Multidisciplinary Analysis (AMMA) and some more sites.

For Details Contact: jsparihar@sac.isro.gov.in

thank you
THANK YOU

Acknowledgements:

CRAM Organizers and GEO Secretariat

Presentation Material: Dr ManabChakraborty

Dr SushmaPanigrahy

Dr P.K. Pal