Land mapping with least median of squares regression using landsat imagery: a case study Jakarta and surrounding area

Mulyawan, Bagus and Jovianto, Nicholas and Hendryli, Janson and Herwindiati, Dyah E. Land mapping with least median of squares regression using landsat imagery: a case study Jakarta and surrounding area. Land mapping with least median of squares regression using landsat imagery: a case study Jakarta and surrounding area.

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Abstract

Impervious surface is an area that has undergone natural or semi-natural substitution
of artificial land cover which is usually waterproof and relatively permanent, including
settlements, industrial buildings, road networks, railroad networks, high voltage electricity
networks, airports air and sea ports. Changes cause the narrowing of rivers and open land which
become water catchment areas. One of the problems that triggered an increase in impervious
land is urbanization. This study aims to map land changes in the Jakarta and surrounding areas
using the least median of squares regression method. Based on data from land classification
results using 4 classes, Jakarta and Tangerang are areas that have more impervious land than
non-impervious land. Meanwhile, Bogor, Bekasi, and Depok are areas that have more nonimpervious
land.

Item Type:	Article
Subjects:	Penelitian > Fakultas Teknologi Informasi
Divisions:	Fakultas Teknologi Informasi > Teknik Informatika
Depositing User:	Puskom untar untar
Date Deposited:	28 Dec 2020 09:34
Last Modified:	28 Dec 2020 09:42
URI:	https://repotest.untar.ac.id/id/eprint/13921

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