Abstract
Dr. Brijendra Pateriya
Manager-GIS
RMSI Pvt. Ltd,
Email: [email protected]
Siva Subramanian
Dy. General Manager
RMSI Pvt. Ltd
Dinesh Kar
Project Lead
RMSI Pvt. Ltd
Email: [email protected]
Rajiv Ranjan
GIS Engineer
RMSI Pvt. Ltd
[email protected]
Reliability of remote sensing based data is a long-standing question due to paucity of technical knowledge in evaluating the accuracy. Normally Remote Sensing data accuracy is checked through systematic sampling and ground verification. Here an attempt is made to compare the RS based data with Supply chain sources such as millers and Mandis. For this purpose, a study was undertaken to compare and assess the accuracy of remote sensing-based production estimation of Basmati rice for kharif 2005 against the mandis arrivals and other related sources at the end of the Kharif season -2005. A well planned mandi survey was carried out and data was collected from important mandis and mandi boards of Basmati growing major four states namely Uttar Pradesh, Uttaranchal, Punjab and Haryana. Mandi arrival data of rice and basmati was collected for Haryana and Punjab, whereas in Uttar Pradesh and Uttaranchal only total rice data was available and the same was collected. The survey experts also collected data from rice mills, state marketing boards of respective states and the Agents (Arthias) Analysis was carried out based on information gathered from various sources like discussions with respective mandi officials, mandi agents (Arthias), and rice millers to arrive at the conclusion. Based on comparative analysis between Kharif 2005 estimates derived using Remote Sensing approach and Mandi arrivals (As well as allied sources) as on 31st March 2006 and considering certain calculated and logical assumptions, limitations, it is concluded that the Remote Sensing based estimated results for Kharif 2005 is matching up to an accuracy of 90% to 94% in the states of study area at 100% confidence level. As a by product, an interesting result on RS data being always higher than total supply chain sources confirms the reliability of this data.
Above is a first of its kind, cautious, well calculated and mathematical analyses based study done first time in India keeping in mind to open an avenue for usage of remote sensing technique in market research and supply chain study. This study may be useful for demand forecasting also.
