)VI for
n., 1999,
found that
dates over
the NDVI
spread of
ss of crop
catter was
f rabi crop
eters
es derived
rements of
IST from
f satellite
| to obtain
ion model.
d. satellite
. A good
>d surface
urface soil
| matching
1.77C, 02
| Godhara,
ed surface
perature is
tations for
1999
bserved
(°C)
43.0
39.0
41.6
IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002
the comparison of the AVHRR derived average 9 x 9
window surface temperature (14.30 to ISI) with mid day
surface air temperature for thè different stations over all the
dates of satellite overpass. The correlation between ground
estimates of near surface air temperature and satellite-derived
temperature is 0.853. Greater scatter was noticed during
early growth stages (December 15, January 15 ) compared to
late growth stages (March 17 , April 14) crop season.
G 55
y (r = 0.85) > à Early (bias = 1.92)
$50 °, © * late (bias = -5.5)
Ë 45 +
E 40 eo Nt S
= o9 s es
2735 >
tx. Aa 4,
BENT
a 25 d y t T T y
Corian 30 35 40 45 50 55 60
Retrieved surface temperature (°C)
Figure 3: A scatterplot between observed mid -day air temperature
and satellite retrieved surface temperature during early and
late rabi growing season
The bias (February, March & April) (mean difference
between satellite derived surface temperature and ground
estimates of air temperature averaged overall observations)
associated with early and late phase of rabi season is 1.92°C
and —5.5°C, respectively. The results thus confirm that mid
day surface air temperature is easier to model in a period of
good vegetation cover when extreme temperatures are not
present and no important hydric deficit exists. This is
preliminary investigation of near surface air temperature
mapping. A future endeavor will be to analyze the temporal
series of temperature/vegetation index at full canopy cover
for improved estimates of near surface air temperatures in a
regional scale.
5. CONCLUSIONS
In the present study an attempt has been made to
investigate slope of LST. NDVI relationship for different
districts of Gujarat state and over five dates covering entire
rabi growing season. The results shows that a strong dynamic
negative correlation exists between LST and NDVI with
greater steepness of slope (LST/NDVI) during mid growth
stages (peak vegetative period). While validating retrieved
surface temperature with ground estimates of mid day
surface soil temperature and near surface air temperature was
observed that retrieved surface temperature has good
agreement with surface
soil temperature for four dates and with near surface air
temperature during peak vegetative period (i.e January).
6. REFERENCES
Carlson, T. N., Perry, E. M., and Schmugge, T. J., 1990,
Remote estimation of soil moisture availability and fractional
vegetation cover of agricultural fields. Agricultural and
Forest Meteorology, 52, 45-69.
Chada Narongrit, Mitsuharu Tokunaga, Shunji Murai, Kaew
Nualchawee, Apisit Eiumnoh and Suphat Vongvisessomjai,
2000, Effect of environmental factors on spatial variation of
land surface temperature in Thailand, estimated from day and
597
night time NOAA-AVHRR data. Asia Pacific Remote
sensing and GIS Journal, 13, 65-71.
Czajkowski, K. P., Mulhern, T., Goward, S. N., Cihlar, J.,
Dubayah, R. O., and Prince, S. D., 1997, Biosphere
environmental monitoring at BOREAS with AVHRR
observations. Journal of Geophysical Research, 102 (D24),
29651-29662
Defries, R., Hansen, M., and Townshend, J., 1995, Global
discrimination of land cover types from metrics derived from
the AVHRR Pathfinder data. Remote Sensing of
Environment, 54, 209-222.
Goward, S. N., Cruckshanks, G. D., and Hope, A. S., 1989,
Observed relation between thermal emission and reflected
spectral radiance of a complex vegetated landscape. Remote
Sensing of Environment, 18, 137-146.
Goward, S. N. and Hopewaring, R. H., and Dye, D. G., 1994,
Ecological remote sensing at OTTER: Macroscale satellite
observations. Ecological Applications, 4, 322-343.
Gupta. R. K., Prasad, S., Sesha Sai, M. V. R., and
Vishwanadham, T. S., 1997, The estimation of surface
temperature over an agricultural area in the state of Haryana
and Punjab, India, and its relationship with the NDVI, using
NOAA-AVHRR data. International Journal of Remote
Sensing, 18(18): 3729-3741.
Hope, A. S., and Mc.Dowell, T. P., 1992, The relationship
between surface temperature and a spectral vegetation index
of a tall grass prairie: effects of burning and other landscape
controls. /nternational Journal of Remote Sensing, 13, 2849-
2863.
Nemani, R., Pierce, L., Runing, S., and Goward, S. N., 1993,
Developing satellite derived estimates of surface moisture
status. Journal of Applied Meteorology, 32, 548-557.
Nemani, R. R., and Running, S. W., 1989, Estimation of
regional surface resistance to ET from NDVI and TIR
AVHRR data. Journal of Applied Meteorology, 28, 276-284.
Nemani, R. R., and Running, S. W., 1995, Satellite
monitoring of global land cover changes and their impact on
climate. Climate Change, 31, 395-413.
Nagaraja Rao, C. R., and Chen, J., 1995, Inter-satellite
calibration linkages for the visible and near infra-red
channels of the AVHRR on the NOAA-7, -9,-11 spacecraft.
International Journal of Remote Sensing, 16(11): 1931-1942.
Pierce, L. L., and Congalton, R. G., 1988, A methodology
for mapping forest latent heat flux densities using remote
sensing. Remote Sensing of Environment, 24, 405-418.
Prihodiko, L., and Goward, S. N., 1997, Estimation of air
temperature from remotely sensed observations. Remote
Sensing of Environment, 60, 335-346
Schmugge, T. J., Kanemasu, E. T., and Asrar, G., 1987,
Airborne multi-spectral observations over burned and
unburned prairies. Proceedings of the IGARSS*87
Symposium held in Ann Arbor Michigan USA. May 1987(
AT SEE EEE
te es