s (1999)
icts of
th to 30 th
031%
[APRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring", Hyderabad, India,2002
Segment number Model predicted Plant height as on observe date Observation date
height (cm) from GT (cm) (Ground truth)
1 30.4 30 9th august'99
2 45.7 46 11th August'99
3 30.4 30 9th August'99
4 25.4 25 8th august'99
5 30.4 30 9th August'99
6 25.4 28 9th august'99
Table 4. Validation of the predicted height computed by the model and ground data of Orissa of the year 1999.
Conclusion
This study demonstrates the importance of multi-temporal SAR
data in the retrieval of transplantation date in case of rainfed
rice environment. The transplantation date is considered to be
an important parameter in case of rice crop monitoring. The
progress of transplantation pattern over a particular area can act
as an important input for crop management practices, cropping
system analysis as well as for generating crop calendar. The
generation of transplantation date map of rice area progres-
sively throughout the season has been found advantageous,
which enables to predict the behaviour of rice growing areas as
well as rice growth conditions.
Acknowledgement
We would like to place on record deep sense of gratitude to
Shri J.S. Parihar, Group Director, ARG /RESA for his keen in-
terest and constant encouragement during the completion of
this work. The authors are also grateful to all the colleagues and :
friends for moral boost and support while carrying out this
work successfully.
References
Chakraborty, M., Panigrahy, S., Sharma, S.A. 1997.
Discrimination of rice crop grown under different cultural
practices using temporal ERS-1 Synthetic aperture radar data.
ISPRS Journal of Photogrammetry and Remote Sensing,52, pp.
183-191.
Chakraborty, M., Panigrahy, S., 2000. A processing and
software system for rice crop inventory using multi-date
RADARSAT ScanSAR data. ISPRS Journal of
Photogrammetry and Remote Sensing, 55(2), pp.119-128.
' Chakraborty, M., Parihar J.S., Panigrahy, S., 2000. Operational
use of SAR Images for crop surveillance-issues regarding
identification and congruency accuracy. ESA publications,
pp. 31-36.
Choudhury, Indrani, Chakraborty, M., 2000. Rice field
mapping and monitoring using RADARSAT data. Proceedings
of National Symposium of Indian Society of Remote Sensing
(ISRS) on "Spatial technologies for Natural hazards
management", IIT Kanpur, Nov 21-22,2000.
Kurosu, T., Fujita, M., 1997. The identification of rice fields
using multi temporal ERS-1 C band SAR data. International
Journal of Remote Sensing, 18 (14), pp.2953-2965.
Le Toan, T., Ribbes F., Wang F.L., Floury N., Ding K.H., -
Kong J.A., Fujita M., 1997. Rice crop mapping and monitoring
using ERS-1 data based on experiment and modelling results.
IEEE Transactions on Geoscience and Remote Sensing, 35(1),
pp.41-56.
Panigrahy, S., Manjunath, K.R., Chakraborty, M., Kundu, N.,
Parihar, J.S., 1999. Evaluation of RADARSAT Standard beam
data for identification of potato and rice crops in India. /SPRS
Journal of Photogrammetry and Remote Sensing, 54, pp. 254-
262,
Kurosu, T., Fujita, M., Chiba, K., 1995. Monitoring of Rice
crop growth from space using the ERS-1 C -band SAR. IEEE
Transactions of Geoscience and Remote Sensing, 33 (4),
pp.1092-1096.
Shao Yun, Liao Jingjuan, Wang Cuizhen, 2002. Analysis of
temporal radar backscatter of rice: A comparison of SAR
observations with modelling results. Canadian Journal of
Remote Sensing, 28(2), pp.128-138.