Crop Damage Assessment using Remote Sensing & Agrometeorological data Mahalanobis National Crop Forecast Centre, DACFW, New Delhi Space Applications Centre, ISRO, Ahmedabad
3 Case Studies 1.Wheat Rust 2.Hailstorm Damage of Wheat 3.White Fly in Cotton
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)
Study Area
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
Flow chart of the methodology
Seasonal Variation of Air Temperature and Relative Humidity in Yamuna Nagar District (Haryana) Air temperature : C Relative Humidity:70-100%
Seasonal Variation of Air Temperature and Relative Humidity in Karnal District (Haryana) Air temperature : C Relative Humidity:70-100%
Seasonal Variation of Air Temperature and Relative Humidity in Ambala District (Haryana) Air temperature : C Relative Humidity:70-100%
Seasonal Variation of Air Temperature and Relative Humidity in Rupnagar District (Punjab) Air temperature : C Relative Humidity: %
Seasonal Variation of Air Temperature and Relative Humidity in Hoshiarpur District (Punjab) Air temperature : C Relative Humidity: %
Seasonal Variation of Air Temperature and Relative Humidity in Gurdaspur District (Punjab) Air temperature : C Relative Humidity: %
Fig.9: Probable conductive zone for stripe rust based on air temperature ( C) and relative humidity ( %) December 2014
Fig.10: Probable conductive zone for stripe rust based on air temperature ( C) and relative humidity ( %) January 2015
Fig.11: Probable conductive zone for stripe rust based on air temperature ( C) and relative humidity ( %) February 2015
Hailstorm Damage
(Source: IMD Gridded Rainfall)
21 March March 2014 AWiFS Data of Sheopur District in MP showing changes Shows lower Poor Crop Condition in 2015, compared to similar period in 2014.
21 March 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.
Field Photos (Mewat District, Haryana) (Barabanki District, UP) (Udaipur District, Rajasthan) (Betul District, MP) (Hoshangabad District, MP)
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
Final Assessment based on NDVI Deviation and Rainfall
District-wise percentage Affected Area
06-13 Mar 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
Crop Cutting Experiment Results AreaAvg. Yield (kg/ha) Range (kg/ha) No. of sites Comments Affected % reduction in yield Unaffected MP (Betul, Hoshangabad)
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 Madhya Pradesh Punjab Rajasthan Uttar Pradesh All India F2: February End estimate, F3: Early April Estimate
White Fly Damage in Cotton
21 Aug,20156 Sept, 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
18 Aug, Sept, Oct,2014
18 Aug, Sept, Oct, Aug,20156 Sept,20158 Oct,
Based on the analysis of satellite data (Landsat 8 OLI (21 Aug, 6 Sept, 8Oct (2015))
Based on the analysis of satellite data (Landsat 8 OLI (21 Aug, 6 Sept, 8 Oct, 2015) Accuracy of Assessment : 73.92%
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
Plans for 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.