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- W2894800570 abstract "The Land Surface Temperature (LST) is an essential factor accompanying to rise urban heat within a city in micro level. It also plays a crucial role in global change study as well as radiation budgets measuring in heat balance studies. The information of LST is very substantial to recognize the urban climatology, ecological changes, anthropological and environmental interactions etc. The foremost motivation of present study focuses on time series of ANN model. It take a sequence of LST values of 2000, 2008 and 2016, realize the pattern of variation within the dataset and predict the LST values for 2024 and 2032. The novelty of this study centers on the evaluation of LST using series of multi-temporal MODIS (MOD11A2) satellite data by Maximum Value Composite (MVC) techniques. The results derived from this study endorse the proficiency of Geoinformatics Technology with the integration of ANN to gain knowledge, understanding, and building of precise forecast from the complex physical world database. This study will also focus on the influence of Land Use/ Land Cover (LU/LC) variation on Land Surface Temperature." @default.
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- W2894800570 date "2018-04-19" @default.
- W2894800570 modified "2023-09-26" @default.
- W2894800570 title "Prediction of Land Surface Temperature within Sun City Jodhpur (Rajasthan) in India Using Integration of Artificial Neural Network and Geoinformatics Technology" @default.
- W2894800570 hasPublicationYear "2018" @default.
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