Table 1.
Estimates of agricultural NPP and biomass for India.
Months NPP (Q ha ^) Biomass (Million tons)
1987 1988 1989 1987 1988 1989
l 3.67 4.82 Td 27.55 36.14 53.36
2 6.90 6.10 8.98 51:73 45.75 67.33
3 6.56 6 v57 8.87 49.18 49.58 66.49
4 3.47 2.14 6.03 20.02 16.15 45.21
5 3.94 4.31 3533 29.58 32.54 24.94
6 4.52 3.55 3.57 33.93 26:79 26.79
7 3.32 2.62 4.67 24.89 19:77 35.00
8 6.52 7492 7:59 48.90 59.83 56.94
9 8419 10.05 11:63 61.45 76.88 87.23
10 7.67 8.42 11.91 57.56 63.58 88.57
1d 4.89 6:28 6 229 36.67 47.40 47.15
12 3.69 5.28 4.55 27,67 39.86 34. 15
Annual 58.68 65.75 83.15 470.13 514.27 633.16
during. these months. Thus the figures are as per the
PEM seems to describe correctly agricultural i yeaxnd. eq sistaridng
the annual variations: int agris from -summer: crops: in! June/July
cultural biomass generation. and ending with’ the harvesting
of» winter «Crops: in April in “the
Agricultural NPP of _p8-68, next calender ye ax, However,
82 Ab and 83.312 Q ha and the general trends of agricul-
biomass i of 450.4135 54.27 and tural production compares
633.16 million tons was fairlyo well with the reported
estimated" Êor.-the -yvearss i1987, figures.
1988 and 1989; respectively.
This biomass Was translated 6. CONCLUSIONS
into 136.31, £1347 56: :d4ndv 184.46
million tons of agricultural Based upon the present study sit
production for the above three could. be concluded that the
years. NDVI-Climatological modeling
technique developed provided an
The performance «of. monsoon is automated and quick way to map
thes critical factor Ans: Indian
agriculture-as.it is the single
most. important factor effecting
agricultural
study in the behavior of Indian
monsoon showed that it was
normal: hfor:-thedvyvéar51i1989:> But
ito showed a negative . anomaly
during 1987 and a positive
anomaly during 1988 causing
drought and :floods….ain the. two
years, respectively. Therefore,
the Crop growth and
agricultural productivity was
drasticallys;reduced in^ both the
years. This interannual; anomaly
in agricultural productivity
could also be described through
the «present methodology: using
PEM: The highest agriculturai
production of 1931.16 mildion
tons was estimated for the year
1289 as compared to 036.31: and
147.56 million tons for the
years 1987 and 1988,
respectively.
We made” an effort to compare
the estimated agricultural
production figures with the
reported figures from Bureau: of
Economics: and: Statisticss (BES)-.
But ^ weuwfindo it difficult uo
compare the figures because the
estimated values are an
integration over the calender
year whereas the BES reported
302
productivity. A
irrigated agricultural ‘areas: iin
India. It was possible to make
fairly correct estimates of
agricultural production for
India using the PEM. The model
was; also ‘able. to describe. the
annual and interannual
variations in agricultural
India: Therefore,
the technique developed in the
present study. seems^ to have is
great potential for estimating
agricultural production more
accurately.
production of
ACKNOWLEDGEMENTS
The senior author is: thankful
to the Japanese Government for
the award of Monbusho: Scholar:
ship for carrying out this
research: The authors rare also
thankful to the NOAA/NASA AVHRR
Pathfinder Project ‘for making
available time series NOAA
data.
REFERENCES
Agbu, PLA. and James, M.E.
1994. The NOAA/NASA
Pathfinder. AVHRR.- Land data
set User's Manual. Goddard
Distributed Active Archive
Center, NASA, Goddard: Space
Flight Center (GSFC).
Greenbelt. USA.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996
