Abstract
Soil moisture information has not been used extensively under PAN India mode operationally in the country due to sparse network of soil moisture measuring stations. Effort has been made to estimate the soil moisture using gridded rainfall data using soil water balance (SWB) model and subsequently to compare quantitatively with insitu soil moisture measured by gravimetric method. It is observed from the quantitative validation with ground observations that during monsoon season the accuracy with the observed was found to be fairly accurate from the early part of the July to the end of monsoon when the soil was almost recharged with the rainfall. One of the limiting factors is that during dry period and in the low rainfall areas accuracy is relatively low. Thus, the soil moisture information generated using gridded rainfall data can be used from the second month (July) of monsoon season to the end of the monsoon season on PAN India mode for irrigation scheduling and determination of sowing dates and for contingency crop planning etc.
Highlights
Soil moisture is primary information in achieving optimum water requirements for the crops and very useful for monitoring drought and floods.Soil moisture is generally a highly variable parameter both temporally and spatially, as it is affected by the soil texture, topography, land cover and climate.Soil moisture can be measured using ground observations manually, sensors and satellite remote sensing
In present study soil moisture estimation has been made on the bare land and compared with gravimetric soil moisture retrieved from bare soil using gridded rainfall data
The south west monsoon season in India generally begins from 1stof June and covers the entire country by 15th July. monsoon affect most parts of India, the amount of rainfall varies from heavy to scanty in different parts
Summary
Soil moisture is primary information in achieving optimum water requirements for the crops and very useful for monitoring drought and floods.Soil moisture is generally a highly variable parameter both temporally and spatially, as it is affected by the soil texture, topography, land cover and climate.Soil moisture can be measured using ground observations manually, sensors and satellite remote sensing. The Thornthwaite Soil Water Balance (SWB) technique is one of the most reliable method for estimating soil moisture (Shweta and Krishna, 2014). In present study soil moisture estimation has been made on the bare land and compared with gravimetric soil moisture retrieved from bare soil using gridded rainfall data
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