Use of SAR data for Rice Assessment

Transcription

1 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 m M 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 e M 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 a N e w D e l h i , I n d i a E m a i l : n e e t u. n c f n i c. i n

2 Outlines 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

3 Introduction 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 ( 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)

4 Satellite Data Radarsat-2 and RISAT-1Swath Coverage's over India Satellit e Radars at-2 Sens or Scan SAR Narro w B RISAT-1 MRS mode Sentine l -1 A Resol ution Swath Spectral Bands used 25m 300 km C band SAR HH Polarizat ion data 18m 115km C Band SAR HH Polarizat ion data SAR 20m 250 km C Band VV Polarizat ion SAR data Sets of data required at a time Multi-date Multi-date Multi-date Time Period Kharif Season (May to July) for Punjab, Haryana and (June to September) for rest of the Study States, (October to January) for Tamil Nadu Rabi Season (January to March) for Rabi Paddy Crop Kharif Rice No. of Study States State to Nation (% Area Contributio n) State to Nation (% Production Contributio n)

5 Methodology

6 What can be done from SAR data for Rice? Acreage Estimation

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8 Acreage Estimation

9 Acreage Estimation District wise Kharif Rice Area (left) and Production (Right) using SAR data

10 Acreage Estimation State wise Rice Area and Production using SAR data for Kharif Rice in India from to

11 Biomass Estimation Mean TP vs Frequency and Normalized age vs Biomass for Bihar Source: SAC, ISRO

12 Area estimation during Flood

13 Area estimation during Flood Rice-Flooded Area Assessment, post-phailin Cyclone in Odisha State, October, 2013

14 Area estimation during Drought GT Used Number of GT: 93 GT Period : 03 to 21-Sept-15 Seasonal Rainfall of Telangana upto 30/09/15 (Source: Source: NADAMS Report Nizamabad district in Telangana State showing reduction in rice area

15 CCE Planning Generation of crop specific map using SAR data and ground truth NDVI computation for specific cropped area. Integration with other parameters (remote sensing, soil, weather), if available Classification into 4-6 classes, based on the variability existing Select CCE points randomly within each stratum Overlay the village boundary on the CCE locations Prepare a list of CCE points, along with the geographical coordinates, village (and block and district names)

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

17 Validation Data Source: FASAL and DAC&FW

18 Future Scope 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.

19 Acknowledgment 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 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 This work has been done under FASAL project of DAC&FW. THANK YOU