1. Crop Damage Assessment using Remote Sensing & Agrometeorological data Mahalanobis National Crop Forecast Centre, DACFW, New Delhi Space Applications Centre, ISRO, Ahmedabad

2. 3 Case Studies 1.Wheat Rust 2.Hailstorm Damage of Wheat 3.White Fly in Cotton

3. Scientific NamePictureOptimum Conditions Stem Rust,Black rust (Puccinia graminis) humid and warmer temperatures (15 -35°C) Stripe rust,Yellow Rust (Puccinia striiformis ) Humid and low temperature(2-15°C) Leaf rust,Brown rust (Puccinia triticina ) Humid and medium temperature(10-30°C)

4. Study Area

5. Remote Sensing Data: 1.Resourcesat-2 AWiFS Data(56m) 2.Landsat 8 OLI data (30m) Agro-meteorological data: 1.Minimum and Maximum Air Temperature 2.Minimum and Maximum Relative Humidity 3.Rainfall 4.Surface heat Flux Data Used for Assessment

6. Flow chart of the methodology

7. Seasonal Variation of Air Temperature and Relative Humidity in Yamuna Nagar District (Haryana) Air temperature : 3-11 0 C Relative Humidity:70-100%

8. Seasonal Variation of Air Temperature and Relative Humidity in Karnal District (Haryana) Air temperature : 3-11 0 C Relative Humidity:70-100%

9. Seasonal Variation of Air Temperature and Relative Humidity in Ambala District (Haryana) Air temperature : 3-11 0 C Relative Humidity:70-100%

10. Seasonal Variation of Air Temperature and Relative Humidity in Rupnagar District (Punjab) Air temperature : 3-11 0 C Relative Humidity: 70-100%

11. Seasonal Variation of Air Temperature and Relative Humidity in Hoshiarpur District (Punjab) Air temperature : 3-11 0 C Relative Humidity: 70-100%

12. Seasonal Variation of Air Temperature and Relative Humidity in Gurdaspur District (Punjab) Air temperature : 3-11 0 C Relative Humidity: 70-100%

13. Fig.9: Probable conductive zone for stripe rust based on air temperature (3-11 0 C) and relative humidity (70-100 %) December 2014

14. Fig.10: Probable conductive zone for stripe rust based on air temperature (3-11 0 C) and relative humidity (70-100 %) January 2015

15. Fig.11: Probable conductive zone for stripe rust based on air temperature (3-11 0 C) and relative humidity (70-100 %) February 2015

16. Hailstorm Damage

17. (Source: IMD Gridded Rainfall)

18. 21 March 201516 March 2014 AWiFS Data of Sheopur District in MP showing changes Shows lower Poor Crop Condition in 2015, compared to similar period in 2014.

19. 21 March 2015 16 March 2014 AWiFS Data of Bundi District in Rajasthan showing changes Bundi Kota Shows lower Poor Crop Condition in 2015, compared to similar period in 2014.

20. Field Photos (Mewat District, Haryana) (Barabanki District, UP) (Udaipur District, Rajasthan) (Betul District, MP) (Hoshangabad District, MP)

21. NDVI Images of 2014, 2015 for Haryana showing changes NDVI is an indicator of crop condition. Shows lower NDVI values in 2015 during similar period

22. Final Assessment based on NDVI Deviation and Rainfall

23. District-wise percentage Affected Area

24. 06-13 Mar 2015 14-21 Mar 2015 Normal Mild Moderate Moderate-Severe Detailed Map of Affected Area (Derived by National Remote Sensing Centre, ISRO) Map at Grid (5 km*5km) Level Map at Pixel level

25. Crop Cutting Experiment Results AreaAvg. Yield (kg/ha) Range (kg/ha) No. of sites Comments Affected2381272-4614167% reduction in yield Unaffected25681054-442033 MP (Betul, Hoshangabad)

26. Wheat Production Estimates Acreage was estimated using Remote Sensing data Yield was estimated from a combination of Remote Sensing based models, agro-meteorological models and crop simulation model Then, a loss factor was determined by developing an empirical model between NDVI and crop yield (from CCE data) and yield loss per unit NDVI decrease (from 2014 to 2015) was computed. Accordingly estimated yield, at district level, was reduced. State F3 F2 Estimated Reduction in Production (%) (compared to F2) Haryana 10.06 11.4-11.8 Madhya Pradesh 12.52 14.8-15.5 Punjab 14.82 16.2-8.3 Rajasthan 7.25 8.5-14.6 Uttar Pradesh 26.73 30.6-12.6 All India85.0592.8-8.3 F2: February End estimate, F3: Early April Estimate

27. White Fly Damage in Cotton

28. 21 Aug,20156 Sept,2015 8 Oct,2015 Village: Khatwan, Fazilka Fig.12: Seasonal variation of spectral reflectance Profile shows that most of damage by white fly occurred after 6 th September 2015 Which is visible in satellite data of 8 th October.There is sharp change in Red and NIR reflectance

29. 18 Aug,2014 19 Sept,2014 5 Oct,2014

30. 18 Aug,2014 19 Sept,2014 5 Oct,2014 2015 21 Aug,20156 Sept,20158 Oct,2015 2014

31. Based on the analysis of satellite data (Landsat 8 OLI (21 Aug, 6 Sept, 8Oct (2015))

32. Based on the analysis of satellite data (Landsat 8 OLI (21 Aug, 6 Sept, 8 Oct, 2015) Accuracy of Assessment : 73.92%

33. Kirdhan,Fatehabad Bighad,Fatehabad Uchana,Jind Bayankhera,Hisar Budain,Jind Jandikalan,Jind Normal White Fly effect Mealybug & White Fly effect GT photo were taken after 10-09-2015

34. Plans for 2016 1.Meteorological Modeling for Probable Zone 2.Field Data from DWR 3.Remote Sensing (ground and field data) Analysis 4.Possible Drone based imaging Thank You.