use of sar data for rice assessment - umd

Use of SAR data for Rice Assessment

N e e t u , S h i b e n d u S R a y a n d T e a mM a h a l a n o b i s N a t i o n a l C r o p F o r e c a s t C e n t r e ,

D e p a r t m e n t o f A g r i c u l t u r e , C o o p e r a t i o n & F a r m e r ’ s W e l f a r eM i n i s t r y o f A g r i c u l t u r e & F a r m e r ’ s W e l f a r e

G o v e r n m e n t o f I n d i aN e w D e l h i - 1 1 0 0 1 2 , I n d i aE m a i l : n e e t u . n c f c @ n i c . i n

• Introduction• Satellite Data• Methodology• What can be done from SAR data for Rice ?

• Acreage estimation• Biomass estimation• Area estimation during Flood/Drought• CCE Planning • Crop Map

• Validation• Future Scope

• Outlines

Operational Mapping/Monitoring of Agricultural Crops in South/Southeast Asian Countries-Research Needs and Priorities May 2 to 4, 2017

• Rice is the major food grain crop of India.• Rice is grown in multiple seasons in India i.e.

Kharif, Rabi and Summer Rice• India is the second largest producer of Rice in

world (https://apps.fas.usda.gov/).• Rice is grown in different environment in India.• Rice is grown with multiple cultural types in India.• Rice crop is highly dependent on Rainfall in India

(58.0 % Rice crop is irrigated) (Source:DAC&FW).

• Rice yield is highly varying in India. Mean Yield(Bihar ~1650 kg/ha and Punjab ~3900 kg/ha)(Source: DAC&FW)

• Introduction


• Satellite Data Satellit

e Sens

orResolution Swath

Spectral Bands used

Sets of data

required at a time

Time Period

Radarsat-2

ScanSARNarrow B

25m 300 km C band SAR HH Polarization data

Multi-date KharifSeason (May to July) for Punjab, Haryana

and (June to

September) for rest of the Study

States,(October to January) for Tamil Nadu

RISAT-1 MRS mode

18m 115km C Band SAR HH Polarization data

Multi-date

Sentinel -1 A

SAR 20m 250 km C Band VV

Polarization SAR

data

Multi-date Rabi Season

(January to March) for

Rabi Paddy

CropNo. of Study States

State to Nation

State to Nation

(% Area Contributio

n)

(% Production Contributio

n)

KharifRice 14 90 91

Radarsat-2 and RISAT-1Swath Coverage's over India


• Methodology



• Acreage Estimation

• What can be done from SAR data for Rice ?


• Acreage Estimation

• Acreage EstimationDistrict wise Kharif Rice Area (left) and Production (Right) using SAR data


• Acreage EstimationState wise Rice Area and Production using SAR

data for Kharif Rice in India from 2012-13 to 2016- 17


• Biomass Estimation

Source: SAC, ISRO

Mean TP vs Frequency and Normalized age vs Biomass for Bihar 2015-16


• Area estimation during Flood

• Area estimation during FloodRice-Flooded Area Assessment, post-Phailin Cyclone in Odisha State,

October, 2013


Nizamabad district in Telangana State showing reduction in rice area

GT Used - 2015-16Number of GT: 93GT Period : 03 to 21-Sept-15

• Area estimation during Drought

Source: NADAMSReport

Seasonal Rainfall of Telangana upto 30/09/15 (Source: www.imd.gov.in)

• Generation of crop specific mapusing SAR data and ground truth

• NDVI computation for specificcropped area.

• Integration with other parameters(remote sensing, soil, weather), ifavailable

• Classification into 4-6 classes,based on the variability existing

• Select CCE points randomly withineach stratum

• Overlay the village boundary on theCCE locations

• Prepare a list of CCE points, alongwith the geographical coordinates,village (and block and districtnames)

• CCE Planning


• Crop Map

Crop map for Odisha and West Bengal for Kharif paddy using RISAT-1data from June 25 to September 10, 2016


• Validation


Data Source: FASAL and DAC&FW

• Methodology needs to be developed for more crops (Cotton ,

Maize etc.) grown in Kharif Season using SAR data.

• Farm level/ Village level crop area/loss assessment using High

Resolution SAR (Sentinel, 10 m in every 5 days) data.

• Improved data frequency and resolution will definitely improve

the biomass estimation accuracy.

• Further research needed for crop parameter retrieval (biomass,

LAI, Phenology, Yield) from SAR.

• Future Scope


Team• Dr. Shalini Saxena• Mr. Sunil Kumar Dubey• Mr. Kanwar Vivek Singh • Mr Akhilesh Porwal • Mr Rajat Saxena• Mr Santosh Kumar• Dr. Varunika Jain • Mr Ashutosh Kumar Gavli

Organizations• Indian Space Research Organization• Department of Agriculture, Cooperation & Farmers’ Welfare• India Meteorological Department• Institute of Economic Growth• State Agriculture Departments• State Remote Sensing Centres• Team Members from MNCFC

• Acknowledgment

THANK YOU

This work has been done under FASAL project of DAC&FW.

use of sar data for rice assessment - umd

Documents