An attempt to derive a relation between spectral data of rice canopies and their grain yield has been made in the Cuttack and Puri districts of Orissa for Kharifrice using Landsat MSS digital data of three years (1984)(1985)(1986). Necessary sensor-to-sensor transformations of Landsat MSS to IRS LISS-I and acquisition date normal::zation with respect to a typical rice growth profile were also carried out. Using srch an empirical relation, rice yield was estimated for Kharif in 1988 using IRS-IA LISS-I data at district level. Deviation of the estimated yields from the reported figures varied from 2 per cent to 14 per cent at the district-aggregated level.

Accurate prediction of thunderstorms during the pre-monsoon season (April-June)

No abstract

The south-west monsoon (June-September)

A knowledge of minimum temperature during winter and maximum temperature during summer is a very useful for individuals, as well as for organisations whose workers and machines have to operate in the open, e.g. the armed forces, railways, roadways, tourism, etc. Accurate forecasts of minimum temperature during winter help in the prediction of cold-wave conditions and those of maximum temperature during summer help in the prediction of heat-wave conditions over northern India. Models for forecasting the minimum temperature during December and the maximum temperature during May at Delhi have been developed using surface and upper-air meteorological data from 1984-89. The results of testing the models on independent data from recent years are presented. The results are encouraging and more than 80% of the forecasts are correct within ±2°C. Possible reasons for large deviations are also investigated.The following definitions are used for cold waves and