Rice Production Estimation in India S Mamatha Mahalanobis

Rice Production Estimation in India S. Mamatha Mahalanobis National Crop Forecast Centre Department of Agriculture , Cooperation & Farmers’ Welfare, Ministry of Agriculture & Farmers’ Welfare, Government of India New Delhi, India – 110 012 Email: mamatha. ncfc@nic. in Asia-Ri. CE Taiwan 17 th September 2018

Rice in India is the second major rice producing country of the world. Rice (Kharif) accounts for 37 per cent of the total kharif (rainy season) sown area and 70 per cent of kharif food grain production in the country. The crop is mainly grown during the monsoon season. Non- availability of data from optical sensors due to cloud cover in the kharif season is the limitation of rice estimation. However, microwave SAR (Synthetic Aperture Radar) data has been proven to be useful in rice area estimation. Hence, operational rice assessment is carried out using SAR data In case of kharif rice 3 estimates are generated using remote sensing approaches. State wise Rice area Acia-Rice Taiwan 17 th September 2018

Rice Area Estimation FASAL Project: Aims at providing multiple pre-harvest production forecasts of crops at National/State/ District level Kharif Rice Rabi Rice National/State/District level estimation multi-date RADARSAT Scan. SAR (50 m pixel size) / RISAT-1 SAR data (25 m)/ Sentinel-1 SAR data (20 m) Since, 2017 -18, Sentinel-1 Microwave SAR data was used for acreage estimation. National/State/District forecasts: • Kharif Rice (3 Forecasts, 14 states) • Rabi Rice (1, 5) Acia-Rice Taiwan 17 th September 2018

Satellite Data Used Sentinel-1 Microwave data (Spatial Resolution 20 m, Temporal Resolution 12 days) VV polarization mode were used for acreage estimation. Data pertaining to five to eight such successive dates for each area has been used for acreage estimation. All total 680 Sentinel -1 Scenes (each 250 x 250 km 2) were used for the study. Kharif Rice Total No of Scenes: 680 Scenes(each 250 x 250 km 2) Total no of GT points collected: 2667 points Acia-Rice Taiwan 17 th September 2018

Ground Truth Ground truth (GT) is an essential component for remote sensing data analysis. Ground truth data is collected using Android based Smartphone Application, with the help of state agriculture department officials. GT Data on Bhuvan Platform NCFCCrop 2584 Acia-Rice Taiwan 17 th September 2018 Android Based GT Data Collection

Methodology Stratified sample segment method is used for image analysis Logical modeling classification approach was followed using GT sites Acia-Rice Taiwan 17 th September 2018

Transplanting Period Identification Transplanting % Paddy Transplanting Based on Remote Sensing Data Acia-Rice Taiwan 17 th September 2018

Comparison of satellite images of 2017 and 2016, showing decrease in rice area in Karnataka Sentinel -1 A 26/07, 07/08, 31/08 of 2017 Risat-1 data 17/07, 11/08, 05/09 of 2016 Acia-Rice Taiwan 17 th September 2018 Sentinel -1 A 26/07, 07/08, 31/08 of 2017 Risat-1 data 16/07, 10/08, 04/09 of 2016

Yield Estimation • District level agro-meteorological models • Fortnightly Vegetati 0 n Condition Index based empirical models • Crop Simulation Models • Conducting sample Crop Cutting Experiments using Remote Sensing based sampling plan Acia-Rice Taiwan 17 th September 2018

Remote Sensing driven Crop Cutting Experiments

International Workshop ISPRS WG III/10, GEOGLAM, ISRS Joint International Workshop Earth Observations for Agricultural Monitoring Feb 18 -20, 2019, New Delhi Organized by ISPRS Working Group III/10 (Agriculture and Natural Ecosystems Modelling and Monitoring) GEOGLAM (Group on Earth Observations Global Agricultural Monitoring) Indian Society of Remote Sensing Supported by • • Ministry of Agriculture & Farmers’ Welfare; Indian Space Research Organization; SARI (South/Southeast Asia Research Initiative); Asia. Ri. CE Hosted by • • • Mahalanobis National Crop Forecast Centre(MNCFC); Indian Agricultural Research Institute(IARI) Indian Society of Remote Sensing – Delhi Chapter; 2 Days’ Tutorial (SAR for Rice, UAV Remote Sensing, Satellite Observations for Fire & Machine Learning Tools): Feb 21 -22, 2019 Acia-Rice Taiwan 17 th September 2018 Important Dates Abstract Submission - 15 th Oct 2018 Abstract Acceptance - 1 st Nov 2018 Full Paper submission-31 st Dec 2018 Website: http: //www. ncfc. gov. in/isprs (All are invited to participate)

Thank You Thank you Acia-Rice Taiwan 17 th September 2018