Please use this identifier to cite or link to this item: http://drsr.daiict.ac.in//handle/123456789/364
Title: Comparative study of single date (LISS-III) and multi-date (AWiFS) satellite data for pre-harvest mustard and wheat crop production forecasting
Authors: Bairagi, G.D.
Ghosh, Ranendu
Singh, Mridula
Keywords: Meteorology
Meteorology
Agricultural
Physical geography
Remote sensing
Grain
Mathematical models
Agricultural estimating and reporting
Victoria
Photogrammetry and Remote Sensing
Issue Date: 2011
Publisher: Dhirubhai Ambani Institute of Information and Communication Technology
Citation: Singh, Mridula (2011). Comparative study of single date (LISS-III) and multi-date (AWiFS) satellite data for pre-harvest mustard and wheat crop production forecasting. Dhirubhai Ambani Institute of Information and Communication Technology, v, 39 p. (Acc.No: T00327)
Abstract: The study presents the learning of methodology or approaches already developed for classifying wheat and mustard crops production forecasting using NDVI time-series derived from multi-date A WiFS data and single date LISS-III data for Rabi season(2011) were used in this study. Multi-date A WiFS data classification technique is based on two stage classification of multi-date dataset by unsupervised Iterative Self Organizing Data Analysis Technique (ISODATA), labeling of classes based on temporal spectral profiles of wheat, mustard and other competing crops, creation of non crop mask by decision rule classifier and decision rule based integration for final classified image. This hybrid classification technique takes advantage of inherent clustering tendency of land use / land cover classes in feature space with temporal dimensions added to it in terms of NDVI time series data and it also makes use of signatures of known crop classes for labeling the clusters. The techniques used in complete enumeration approach for single date LISS III data analysis was based on supervised classification using digital ground truth layer. Sample segment approach includes stratification of study area, extraction of strata, training site generation followed by supervised classification and aggregation for LISS-III data analysis. An inter-sensor comparison of acreage estimates for wheat and mustard crops shows that the acreage estimates through LISS-III single date data having -2.53 percent under estimation when compared with A WiFS multi date estimates for wheat crop, while it was -2.12 for mustard crop. The yield prediction models have been developed based on historical NDVI and Agro- met indices. The NDVI based regression model has R2 0.77 and Agro- met indices model has R2 0.59. The yield predictions using NDVI and Agro- met based yield model were 2627 and 2728 respectively. When the acreage estimates for single date LISS- III data by sample segment and complete enumeration approaches were compared a under estimate of -2.99 and -7.27 was found for wheat and mustard respectively. For multi-date A WiFS data the deviation came out to be -0.087 and -0.82 for respective crops.
URI: http://drsr.daiict.ac.in/handle/123456789/364
Appears in Collections:M Sc ICT (ARD) Project Reports

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