Analisis Perubahan Luas dan Kerapatan Hutan Mangrove menggunakan Citra Landsat 7 ETM+ dan Landsat 8 OLI di Segara Anakan, Cilacap tahun 2003-2018

Ashar, Johan Ali and , Jumadi, S.Si. M.Sc. Ph.D and , Aditya Saputra, S.Si. M.Sc. Ph.D and , Vidya Nahdhiyatul Fikriyah, S.Si. M.Sc (2019) Analisis Perubahan Luas dan Kerapatan Hutan Mangrove menggunakan Citra Landsat 7 ETM+ dan Landsat 8 OLI di Segara Anakan, Cilacap tahun 2003-2018. Skripsi thesis, Universitas Muhammadiyah Surakarta.

	PDF (Naskah Publikasi) NASKAH PUBLIKASI.pdf Download (1MB)
	PDF (Halaman Depan) HALAMAN DEPAN.pdf Download (1MB)
	PDF (Bab I) BAB I.pdf Download (396kB)
	PDF (Bab II) BAB II.pdf Restricted to Repository staff only Download (379kB) | Request a copy
	PDF (Bab III) BAB III.pdf Restricted to Repository staff only Download (2MB) | Request a copy
	PDF (Bab IV) BAB IV.pdf Restricted to Repository staff only Download (5MB) | Request a copy
	PDF (Bab V) BAB V.pdf Restricted to Repository staff only Download (282kB) | Request a copy
	PDF (Bab VI) BAB VI.pdf Restricted to Repository staff only Download (18kB) | Request a copy
	PDF (Daftar Pustaka) DAFTAR PUSTAKA.pdf Download (76kB)
	PDF (Lampiran) LAMPIRAN.pdf Restricted to Repository staff only Download (1MB) | Request a copy
	PDF (Pernyataan Publikasi Ilmiah) SURAT PERNYATAAN PUBLIKASI ILMIAH.pdf Restricted to Repository staff only Download (264kB) | Request a copy

Abstract

Coastal ecosystems consist of mangroves, seagrasses and coral reefs. Segara Anakan Lagoon, Cilacap Regency has a huge mangrove ecosystem in coastal areas, but in the last few decades the mangrove area has been continouosly descreasing. Utilization of multitemporal imagery data can be applied to analyze the changes that occur, in this research using two Landsat imagery data with acquisition year 2003 and 2018. The purpose of this research was to determine the area and density changes of mangroves in Segara Anakan, Cilacap from 2003 to 2018 and to identify factors that cause changes in the area and density of mangroves. The method in this research used the multispectral classification of maximum likelihood for land cover data extraction from multitemporal images that had been corrected geometrically and radiometrically. Classification is divided into several sampling classes that focus on mangrove land cover. The classification of mangroves is used as a reference in making the density class of mangrove vegetation with the NDVI (Normalized Difference Vegetation Index) method. Field check is needed to know the percentage of mapping accuracy, which uses the purposive sampling method and confusion matrix table. The results showed data in mangrove area changes that occurred in the Segara Anakan lagoon in 2003 - 2018, including mangrove objects that did not change (still mangrove) for 6257,62 ha. While the degraded/decrease mangroves have result 2765,64 ha and mangrove growth in 2018 amounted to 2576,25 ha. The density of NDVI in the mangrove area in 2003 was dominant in the medium density class with result 5068,17 ha of the total mangrove area, while in 2018 it was still dominated by the medium density class but with decrease amout of 4375,57 ha. Accuracy assesment using confusion matrix for 51 samples data has result percentage value of 86,11% overal accuracy, so it can be expalined that result of the classification is accurate.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	Mangrove Change, Landsat, Segara Anakan
Subjects:	G Geography. Anthropology. Recreation > G Geography (General)
Divisions:	Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi
Depositing User:	JOHAN ALI ASHAR
Date Deposited:	17 May 2019 04:00
Last Modified:	17 May 2019 04:00
URI:	http://eprints.ums.ac.id/id/eprint/73324

Actions (login required)

View Item