Full text: Resource and environmental monitoring (A)

IAPRS & SIS, Vol.34, Part 7, "Resource and Environmental Monitoring", Hyderabad, India, 2002 
  
  
  
   
   
  
    
  
  
    
   
   
   
   
   
    
   
   
    
   
   
   
   
   
along Uttar Pradesh and Bihar States, are the important rice- 
wheat cropping system districts in this country. The spatial 
contiguity of the cropping pattern of the Southern Terai districts 
of Nepal with Uttar pradesh and Bihar states of Indian border 
enabled for extension of the spectral signatures to Nepal. 
The remote sensing estimate of 1999 kharif rice acreage in 
Nepal was 1.45 M ha, which is mainly concentrated in the 
Southern Terai districts of the country, as shown in the raw and 
classified IRS-WiFS data of Nepal. The post kharif rice fallow 
lands occupy only 0.39 M ha and mainly concentrated in the 
South East districts viz., Jhapa, Ilam, Sunsari, Sirha, Saptari 
-and Dhanusa. 
6. CONCLUSIONS 
IRS-WiFS data of 1999 kharif season and rabi 2000 season 
were analysed following total enumeration approach for 
deriving spatial distribution of kharif rice and rice fallows in 
different States of India and in the neighbouring Pakistan, 
Nepal and Bangladesh Nations. Information on the spatial 
distribution of kharif rice and rabi fallow lands were logically 
combined to derive the distribution and area of post kharif rice- 
fallow lands. For the first time countrywise maps of four 
agriculturally important nations, showing spatial distribution of 
kharif rice and post kharif rice fallow lands, were generated. 
The analysis indicated that good potential for the utilization of 
rabi fallow lands, where kharif crop was rice, existed in India, 
Bangladesh and Nepal with marginal potential in Pakistan. 
Remote sensing spatial information layer of rice fallows in 
India, Bangladesh, Nepal and Pakistan nations, in conjunction 
with soil and climate layers enabled ICRISAT for preparing 
GIS maps of potential areas for rice-fallow cultivation with a 
suitable short duration leguminous crop. 
7. ACKNOWLEDGEMENTS 
The authors are thankful to the team of International Crops 
Research Institute for Semi Arid Tropics (ICRISAT), 
Patancheru, and in particular to Dr. Chris Johansen, Principal 
Agronomist, ICRISAT for their association in this project. The 
authors thank the Director, NRSA for evincing keen interest in 
the project and the valuable and constructive criticism. We also 
thank the Deputy Director (RS&GIS) for his support and 
providing facilities to carry out the project. 
8. REFERENCES 
Chakraborty, M. and Panigrahy, S and Sharma, S.A. 1997. 
Discrimination of rice crop grown under different cultural 
practices using temporal ERS-1 SAR data. ISPRS 
Photogrammetry and Remote Sensing, 52 : 183 -191. 
Jagdish Kumar, 2001. Towards a quantitative leap. The Hindu 
Survey of Indian Agriculture 2000, pp: 61 —64, The Hindu, 
Chennai. 
Govt. of Pakistan. Crops Area and Production (By Districts) 
1995-96 to 1997-98. Ministry of Food, Agriculture & 
Livestock, Food, Agriculture & Livestock Division, Economic 
Wing, Islamabad, 1999. 
Govt. of the People's Republic of Bangladesh. Year Book of 
Agricultural Statistics of Bangladesh, 1997. Bangladesh 
Bureau of Statistics, Statistics Division, Ministry of Planning, 
Dhaka, Nov., 1998. 
Govt. of Nepal. Agricultural Statistics, Division / Ministry of 
Agriculture, Nepal, 1998. 
Guyot, G. 1990. Optical properties of vegetation canopies. In : 
Applications of Remote Sensing in Agriculture. Eds., Steven, 
M.D. and Clark, J.A. University Press, Cambridge, UK, pp. 19 
— 44. 
Hoffer, R.M. 1978. Biological and Physical Considerations in 
Applying Computer Aided Analysis Techniques To Remote 
Sensor Data. In :Remote Sensing — The Quantitative 
Approach, , Eds., Swain, P.H. and Davis, S.M. pp: 227 -289. 
Kasturirangan, K., Aravamudam, R., Deekshatulu, B.L., 
George Joseph and Chandrasekhar, M.G. 1996. Indian Remote 
Sensing satellite (IRS)-1C — The beginning of a new era. 
Current Science. 70 : 495 —500. 
Krishna Rao, M.V., Hebbar, K.R. and Venkataratnam, L. 1997. 
Evaluation of IRS-1C data for discrimination and acreage 
estimation of crops grown under multiple crop situation. 
Remote Sensing for Natural Resources. pp. 205 — 211. 
Navalgund. R.R., Parihar. J.S., Venkataratnam, L., Krishna 
Rao, M.V., Panigrahy, S., Chakraborthy, M., Hebbar, K.R., 
Oza, M.P., Sharma, S.A., Bhagia, N. and Dadhwal, V.K. 1996. 
Early results from crop studies using IRS-1C data. Current 
Scienece. 70 : 568 —574. 
Parihar, J.S. Panigrahy,S., Patel, N.K.Dadhwal, V.K, 
Medhavy, T.T., Ghose, B.K., Ravi, N., Pani, K.C., Panigrahy, 
B.K., Sridhar, V.N., Mohanty, R.R., Nanda, S.K., Tripathy, 
D.P., Mishra, P.K., Bhatt, H.P., Oza, S.R., Sudhakar, S., Sudha, 
K.S., Kumar, P. and Das, N.K. Rice acreage estimation in 
Orissa using remoely sensed data. 1990. Status Report on 
RSAM Project : Crop Acreage & Production Estimation. SAC 
Status Report: RSAM/SAC/CAPE/SR/25/90. 
SAC Report, 1999. National wheat production forecast (1998- 
99) using multi date WiFS and meteorological data. 
RSAM/SAC/FASAL-TD/SN/01/99. 
Schowengerdt; R.A. 1997. Thematic Classification. In : Remote 
Sensing — Models & Methods for Image Processing, Academic 
Press, pp. 389 — 474. 
    
KE 
Inte 
AB 
It is 
and 
thu: 
dev 
and 
oPF 
suc 
ind 
the 
eco 
deg 
reg 
cou 
The 
twc 
WON 
acc 
por 
phe 
are; 
rest 
po 
con 
of ı 
of | 
In 
det 
hav 
hur 
deg 
act 
rec 
attr 
tec] 
env 
and 
son 
po
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.