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• W3159746787 endingPage "103769" @default.
• W3159746787 startingPage "103769" @default.
• W3159746787 abstract "Automatic extraction of built-up areas utilizing built-up indices has increased attention due to their use in monitoring urban growth and environment related problems. In this research study, a new Modified Built-up Index (MBI) is proposed utilizing Landsat 8 Imagery. This technique is developed by combining advanced slope based indexing technique built-up index (ASIT_BI), normalized difference water index (NDWI), soil adjusted vegetation index (SAVI) and brightness temperature (TB). For this study, the optimal threshold values are obtained using Otsu’s thresholding method and modified two-stage multi-threshold Otsu (TSMO) method. Built-up area mapping/extraction using MBI is also compared with two other built-up indices namely ASIT_BI and MNDISI in term of accuracy assessment using recent Landsat 8 images. The results indicate that built-up indices are greatly affected by seasonality of image. The proposed Modified Built-up Index (MBI) results in highest mapping accuracy for all the four seasons with highest overall agreement of 97.8% for spring season. The proposed MBI method is more effective than previous built-up indexing methods because of the improved ability to separate built-up land from barren land." @default.
• W3159746787 created "2021-05-10" @default.
• W3159746787 creator A5000081746 @default.
• W3159746787 creator A5044136070 @default.
• W3159746787 date "2021-08-01" @default.
• W3159746787 modified "2023-09-30" @default.
• W3159746787 title "A Modified Built-up Index (MBI) for automatic urban area extraction from Landsat 8 Imagery" @default.
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• W3159746787 doi "https://doi.org/10.1016/j.infrared.2021.103769" @default.
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