aboveground net primary productivity estimation of pampa grasslands using modis and goes data piedad...

Aboveground Net Primary Productivity estimation of Pampa grasslands using MODIS and GOES data

Piedad Cristiano & María Eugenia Beget

INTA & CONICET– Buenos Aires - Argentina


NPP = APAR x RUE

PAR x fPAR

Kumar & Monteith 1982

Efficiency Model

ANPP maps of Pampa Region will be generated monthly to supply farmers, cooperative associations and government decision makers to provide a useful tool for the development of their activities optimally.


RUE_*.tif NDVI_*.tif PAR_*.tif

NDVI _*.mpr PAR _*.mpr

Convert toILWIS format


Subset tostudy area

Change pixelsize/study area

fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0

If fPAR ≥ 0.95 fPAR = 0

No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR

ANPP_*.mpr ∑ month ANPP1

12annualANPP_*.mpr

P R

E P

R O

C E

S S

I N

GD

A T

A

A

N A

L Y

S I

S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

Particular objective of

this exercise is to

compute annual ANPP

for 2007.






Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E

P R

O C

E S

S I

N G

D A

T A

A

N A

L Y

S I

S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

c:\ILWIS\gdal_translate.exe -of ILWIS C:\DevCoCast_15\rue_autwin.tif C:\DevCoCast_15\rue_autwin.mpr

Pre-processing






Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E

P R

O C

E S

S I

N G

D A

T A

A

N A

L Y

S I

S(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

Pre-processing

Using ILWIS tools






Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E

P R

O C

E S

S I

N G

D A

T A

A

N A

L Y

S I

S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

Pre-processing

Using ILWIS tools





Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E

P R

O C

E S

S I

N G

D A

T A

A

N A

L Y

S I

S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)


Pre-processing

Using scripts






Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E

P R

O C

E S

S I

N G

D A

T A

A

N A

L Y

S I

S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

Data analysis






Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E

P R

O C

E S

S I

N G

D A

T A

A

N A

L Y

S I

S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

fpar_jan07_min=iff (fpar_jan07.mpr<=0, 0, fpar_jan07.mpr)

fpar_jan07_f=iff (fpar_jan07_min.mpr>=0.95, 0.95, fpar_jan07_min.mpr)

Data analysis

Nonlinear method (Potter et al. 1993)






Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E

P R

O C

E S

S I

N G

D A

T A

A

N A

L Y

S I

S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

apar_jan07= fpar_jan07_f * par_jan07_f

Data analysis






Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E

P R

O C

E S

S I

N G

D A

T A

A

N A

L Y

S I

S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

anpp_jan07= apar_jan07 * rue_sprsum_f *10

Data analysis

Monthly results






Subset tostudy area


fPAR _*.mpr

(1+NDVI)/(1-NDVI)

4.05

If fPAR ≥ 0


No

Yes

fPAR = 0.95

fPAR _*.mpr

Yes

No

APAR _*.mpr

fPAR x PAR

RUE x APAR


12annualANPP_*.mpr

P R

E P

R O

C E

S S

I N

GD

A T

A

A N

A L

Y S

I S

(1)

(2) (4)

(5)

(6)

(7)

- 0.2666

(8)

(9)

(10)

RUE_*.mpr


RUE_*.mpr

(3)

anpp_07 = anpp_jan07 + anpp_feb07 + anpp_mar07 + anpp_apr07 + anpp_may07 + anpp_jun07 + anpp_jul07 + anpp_aug07 + anpp_sep07 + anpp_oct07 + anpp_nov07 + anpp_dec07

Final results

Data analysis


Conclusions

A methodology to compute monthly ANPP in the Pampa Region from NDVI and PAR data was presented. The methodology is based on the efficiency model using bi-seasonal RUE maps.

ANPP was compared with ANPP estimated by two models (CASA and Sala et al. 1994) and by efficiency model using fixed RUE=0.48 g/MJ. Validation performed better using this methodology (bi-seasonal variable RUE map) than ANPP calculated from a fixed RUE.

A further validation against field data is warranted.

Same methodology can be applied using NDVI derived from the SPOT Vegetation instrument or the daily NDVI derived from the SEVIRI-instrument onboard Meteosat Second Generation available from the GEONETCast toolbox .


THANK YOU / GRACIAS / MERCI / OBRIGADAS / DANK U

aboveground net primary productivity estimation of pampa grasslands using modis and goes data piedad...

Documents

data anpp

jan07 anpp

monthly anpp

data apar

nov07 anpp

jun07 anpp

jul07 anpp

aug07 anpp