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Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

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Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment. I. Ortiz-Monasterio and D. Lobell. Planting Date. 1999-2000 2001-2002 2002-2003. Planting Date. 30 Dec. 10 Nov. Wheat, 2001-2002. Outlier?. Planting Date Validation. 2001-2002. R 2 =76%. - PowerPoint PPT Presentation
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Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment I. Ortiz-Monasterio and D. Lobell
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Page 1: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Application of Remote Sensing in Agricultural Research and

Regional Productivity Assessment

I. Ortiz-Monasterio and D. Lobell

Page 2: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Planting Date

1999-2000

2001-2002

2002-2003

Page 3: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

10 Nov

30 Dec

Planting Date

Wheat, 2001-2002

Page 4: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Reported Avg. Date (days after Nov. 1)

10 20 30 40 50 60 70

Me

an

Da

te E

stim

ate

(d

ays

afte

r N

ov.

1)

10

20

30

40

50

60

70

Outlier?

y=1.12x –4.3 (no sig. Difference from 1:1) rms=5.6 days

Planting Date Validation

R2=76%

2001-2002

Page 5: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Image Planting Date (days after Nov 1)

20 40 60

Far

mer

Rep

orte

d P

lant

ing

Dat

e

20

40

60

Planting Date Validation2002-2003

R2 =0.85

Page 6: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Planting Date (days after Nov 1)

0 20 40 60 80

Are

a P

lan

ted

(H

a)

0

2000

4000

6000

8000

10000

12000

14000

1999-2000

2001-2002 2002-2003

Nov 15 Dec 15

RecommendedPlanting Date

Page 7: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

0

100

200

300

400

500

600

700

1 5 9

13

17

21

25

29

33

37

Series1

Average Yields1999-2000

Kg/

ha x

10

Nov 19

Recommended planting date

Dec 15

-20%

Page 8: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

0100200300400500600700800

1 11 21 31 41 51 61

Series1

> 500 haslate and earlyplanted

Average Yields2001-2002

Nov 1 Nov 30 Dec 31

Kg/

ha x

10

Recommended planting date

-51% +2%

Page 9: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

0100200300400500600700800

1 11 21 31 41 51

Series1

Average Yields2002-2003

Kg/

ha x

10

Nov 7 Nov 30 Dec 31

Recommended planting date

-8% +8%

Page 10: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Planting Date Area %Area Yield Production-ha- -%- t/ha -tons-

< Nov. 15 3,655 1.7 - -Nov.15 – Dec. 15 90,157 49.3 6.07 547,253> Dec. 15 89,598 49.0 5.05 452,470Total 182,979 999,723

Actual 999,723All in recommended PD 1,110,683Production Gain 110,960 (11.0%)

Scenario Regional Production

1999-2000

110,960 tons x 1800 pesos = 199,728,000 pesos in lost revenue

Page 11: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Planting Date Area %Area Yield Production-ha- -%- t/ha -tons-

< Nov. 15 10,672 6.1 2.95 31,482Nov.15 – Dec. 15 129,830 74.8 5.97 775,085> Dec. 15 43,750 25.2 6.11 267,313Total 173,580 1,073,880

Actual 1,073,880All in recommended PD 1,099,980Production Gain 26,104 (2.4%)

Scenario Regional Production

2001-2002

26,104 tons x 1800 pesos = 46,987,200 pesos in lost revenue

Page 12: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Planting Date Area %Area Yield Production-ha- -%- t/ha -tons-

< Nov. 15 31,120 18.2 4.34 135,061Nov.15 – Dec. 15 88,470 51.7 4.70 415,809> Dec. 15 51,402 30.1 5.07 260,608Total 170,992 811,478

Actual 811,478All in recommended PD 803,662Production Gain - 7,816 -(0.9%)

Scenario Regional Production

2002-2003

7,816 tons x 1800 pesos = 14,068,800 pesos in saved revenue

Page 13: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Summer Weeds on Wheat Yields in the following Winter

2001 & 2002

Page 14: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Aug 7, 2001

Page 15: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

0.5 Crops

0.00.1

Weeds

Bare Soil

NDVI

2 x 2 km

Page 16: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Aug 7, 2001

0.5

0.0

NDVI

Page 17: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

0

100

200

300

400

500

600

700

800

1 9 17

25

33

41

49

57

65

73

1stquart

median

3rdquart

Kg/

ha x

10

NDVI

Whe

at Y

ield

2001-2002

0.1 0.5

Bar

e S

oil

Weeds Crops

Page 18: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

0

100

200

300

400

500

600

700

800

1 9 17 25 33 41 49 57 65 73

1stquart

median

3rdquart

NDVI

Kg/

ha x

10

Whe

at Y

ield

2002-2003

Bar

e S

oil

Weeds Crops

0.1 0.5

Page 19: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Table 1. The effect of different land covers during the presiding summer on wheat yields (without perennial crops). 

Land Cover 2001-2002 2002-2003

Area Yield Area Yield

-ha- -kg/ha- -ha- -kg/ha-Bare Soil 102,761 6567 99,780 5730Soil Cover 82,627 5855 57,547 5086 Weeds 76,631 5694 51,195 5164

Crops 5,996 6065 6,352 4984

Total 185,388 157,327

Official Summer Crop Area 3,421 5,399

Page 20: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Table 2. The effect of different land covers during the presiding summer on wheat yields (without perennial crops). 

Land Cover 2001-2002 2002-2003

Area Yield Area Yield

-ha- -kg/ha- -ha- -kg/ha-Bare Soil 102,761 6567 99,780 5730Weedy 76,631 5694 51,195 5164Low Density Weeds 60,157 5867 37,557 5272 High Density Weeds 16,474 5585 13,638

5097 Crops 5,996 6065 6,352 4984

Total 185,388 157,327

Official Summer Crop Area 3,421 5,399

Page 21: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Table 3. Scenario building with different summer managements on wheat yield for 2001-2002. Scenario Production Absolute Gain %Gain

-tons- -tons-Actual 1,156,426Weedy as follow 1,213,467 57,041 4.9%Weedy and crop as follow 1,217,442 61,016 5.2%

   

57,041 tons x 1800 pesos/ton = 102,673,800 pesos

Page 22: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Results from 2001-2002 with 2002-2003 Prices

   Management Wheat Yield Prices

(kg/ha) (pesos/ha)Bare Soil 6567Weedy 5694

Yield Gain 873 1571 Cost of two disking 1000 Profit 571

Page 23: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Table 4. Scenario building with different summer managements on wheat yield for 2002-2003. Scenario Production Absolute Gain %Gain

-tons- -tons-Actual 860,945Weedy as follow 896,588 35,643 4.1%Weedy and crop as follow 901,326 40,381 4.7% 

35,643 tons x 1800 pesos/ton = 64,157,400 pesos

Page 24: Application of Remote Sensing in Agricultural Research and Regional Productivity Assessment

Results from 2002-2003 with 2002-2003 Prices

   Management Wheat Yield Prices

(kg/ha) (pesos/ha)Bare Soil 5730Weedy 5086

Yield Gain 644 1159 Cost of two disking 1000 Profit 159


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