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- W4313156287 abstract "Locating a piece of land for upcoming government project or choosing a correct piece of land for shifting an existing government project is indeed a difficult task. This task is difficult as the wrong decision in this regard may lead to increased financial stress and in worst case lead to project failure. To facilitate this decision making, spatial data infrastructure is used in this research, data model is also given for decision making. Here three map layers are created namely land use land cover map, temperature map and rainfall map. Detailed procedure to generate map is given for each map layer and final map is generated using weighted sum to find out most suitable location for upcoming project by using land use land cover along with meteorological data. Verification is done by using actual ground control points for above three parameters. Accuracy calculation is also done in order to find out accuracy of LULC classification. Finally, significance of this research to government agencies for effective decision making is given." @default.
- W4313156287 created "2023-01-06" @default.
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- W4313156287 date "2022-01-01" @default.
- W4313156287 modified "2023-09-27" @default.
- W4313156287 title "Spatial Data Infrastructure for Suitable Land Identification for Government Projects" @default.
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- W4313156287 doi "https://doi.org/10.1007/978-981-19-0725-8_7" @default.
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