Soil Water Balance based on Remote Sensing approach

1. Soil Water Balance based on
Remote Sensing approach using
SETMI (Spatial ET Modeling
Interface)
PRAGYA
Fulbright Doctoral Research Scholar
USA Supervisor: Dr. Christopher Neale
India Supervisor: Dr. Vinay Sehgal

2. Ph.D. (Indian Agricultural Research Institute)
Crop water use assessment based on surface energy balance by using
Large Aperture Scintillometer and remote sensing in a
semi-arid region (INDIA)
DWFI Project
Water Management, Agricultural Production, and Food
Security in Drought-Prone Areas of India

3. Project objectives
1. To calibrate two source remote sensing model (SETMI) and its validation in
India
2. To calibrate one source remote sensing model (SEBAL) and its validation in
India
3. To calculate footprint of Large Aperture Scintillometer
4. Comparison of EEFLUX data (Rn, H, G) with Large Aperture Scintillometer
measurements on experimental field of IARI, New Delhi.

4. Third most important crop after rice and wheat in India!
 Yield level increasing but well below developed world
 Approximately 10 Million corn growers
Young farmer
 Average land holding-1 ha

5. Experimental Area under
study:
IARI Coordinates
28.6377° N, 77.1571° E

6. LANDSAT 7 and 8 images
METHOD
• Semi arid area
• Corn (Irrigated)
• Basin Irrigation
• Season June to
October (2015)
Meteorological data Corn field data
SETMI Hybrid model (Energy
balance + Soil Water Balance

7. RESULTS
BasalCropCoefficient(Kcb)
Day of Year
0
10
20
30
40
50
60
70
0
1
2
3
4
5
6
7
8
175 195 215 235 255 275 295 315
Precipitation(mm)
CropEvapotranspiration(ETc)
P ETc
Day of Year
EtcKcb
Kcb (Basal Crop coefficient) & ETc (Crop evapotranspiration) of Corn (Zea mays) grown
in Delhi, INDIA

8. Kc (Crop coefficient) & Ke (Soil evaporation Coefficient) of Corn (Zea mays) grown in
Delhi, INDIA
0.0
0.2
0.4
0.6
0.8
1.0
1.2
175 195 215 235 255 275 295 315
CropCoefficient(Kc)
Day of Year
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
175 195 215 235 255 275 295 315
Soilevaporationcoefficient
Ke
Day of Year
Rainfall-68.2mm
Rainfall-66.2mm
Kc

9. 0
10
20
30
40
50
60
70
0
0.2
0.4
0.6
0.8
1
1.2
175 195 215 235 255 275 295 315
Precipitation(mm)
StressCoefficient(Ks)
P I
Ks Total ET- 325.44 mm
Total Eff. Irrigation-
506.61mm
Total Rainfall- 208.27mm
Rainfall-68.2mm
Conclusions
 The soil water balance component (SETMI) gave
good preliminary results for Corn in semi arid
conditions of India.
 Kcb interpolation and estimates were as
expected as per soil and weather conditions in
India.
 Estimates of daily and accumulated ET was also
in agreement with the observed data.
 The model would be run for energy balance for
wheat in semi arid region of India and its validation
would be done with ET obtained from Large
Aperture Scintillometer in IARI, India.
Ks (Stress coefficient) of Corn (Zea mays) grown in Delhi, INDIA

10. LAS installed at Agrometeorology Observatory , IARI.

11. 50 100 150 200 250 300 350 400 450
200
400
600
800
1000
1200
1400
1600
LAS EVATION Software calculated LELAS Footprint
Sensible Heat Flux calculated over
the footprint
ET calculated from H (LAS) using
EVATION software

12. SEBAL model (Spyder)

13. Google EEFLUX
EEFLUX new parameters
(H, G, Rn, RLin, Rlout, Rs) developed

14. Acknowledgements
Daugherty Water for Food Global Institute, UNL
Dr. Christopher Neale
Dr. Richard Allen
Dr. Ayse Kilic
Dr. Ivo Zution Gonçalves
Dr. Babak Safa

15. Thank You
waterforfood.nebraska.edu