The aim of the research to mapping mangrove estimate mangroves area in time series data at the years 2000, 2005, 2011, and 2015, and looking for density of mangroves changing at the Northeast Province of Aceh. The methodology use data Landsat TM5, OLI TIRS, Administration map, and tools use by ENVI 4.5, ArcGIS 10.1, technical analysis to interpretation mangroves area used the algorithm the maximum likelihood classification, Kernel density to calculate density of mangroves changing. Result of the research. From the estimation of mangrove land with intrepetasi satellite imagery obtained by maximum likelihood algorithma cotton area of mangroves in the study are always varied and changing, change-oriented land areas surrounding existing land use is not mangrove in mangrove areas. Mangrove areas relative change in Kernel density indicated in the model to observe the point of incidence of the changes experienced more change in the frequency changes in the form of multi-time repeated changes of the time period, and changes in the relatively small area that is always on changing every time calculations.
Lake Maninjau is a lake formed by volcanic activity. Many human activities occur on the catchment area, but also in exploited waters. This study aims to mapping the depth of the waters in the Lake Maninjau and assess the effect of field sample distribution on the quality results of the image transformation. The data used are satellite imagery Sentinel 2A, results of point survey. The analysis technique uses the normalized difference water index algorithm, sun glint, empirical bathymetry method and linear regression. The result of the research which is has found that variations of distribution into the dispersion of the recording process of the depth of the object represented by cell. The depth of the water from the results of this transformation refers to the measurement sample in the field survey. The maximum depth of the waters is in the range of 107m. Shallow waters are predominantly distributed in the northern region which is the out late of Lake Maninjau. The southern area forms a deep basin. The distribution of this sample is in the form of an empirical bathymetry map and the relationship between the results of field measurements and the transformation with a regression value of 0.769, this indicates the consideration of total and distribution of survey sample is influence on quality of the results of the transformation.
The research about the identification of mangrove physical condition and the change of mangrove area has aims are knowing of mangrove physical condition and the change of mangrove area in the coastal region southern part of Padang city. The method used in this research is the field survey and multi-temporal satellite imagery analysis in 2001 and 2018 year. Based on the field survey at the date of August 18, 2017 generally the mangrove that found in research location i.e Rhizophora Apiculata, Rhizophora mucronata, Sonneratia alba, and Nypa. The spatial distribution of the mangrove ecosystem is dependent on the ecological conditions of the area as reflected by the types of mangrove vegetation that grows and develops in the research location. A decrease in mangrove area that occurred between of 2001 to the 2017 years i.e in the coastal region of Bungus bay i.e 5.54 ha, where the decrease in mangrove area occurred because some mangrove plants were cut down and made the settlement land, while in the region of Sungai Pisang bay happen to increase in mangrove area i.e 36.12 ha, where the increase in mangrove area occurred because of the region obstructed by big waves of the sea (protected small the islands).
The purpose of this study was to determine changes in the coastline and the extent of abrasion and accretion that occurred from 2002 to 2012 and 2012 to 2022. This study utilized geographic information systems and remote sensing techniques in the form of Landsat 7 imagery in 2002, 2012 and Landsat 8 imagery. in 2022. The research uses the Digital Shoreline Analysis System method 'DSAS' which Net Shoreline Movement (NSM) and Endpoint Rate (EPR). To calculate the area of abrasion and accretion use the Calculate Geometry menu. The results of this study are maps of shoreline changes from 2002 to 2012 and from 2012 to 2022. From 2002 to 2012 the rates and distances that occur are accretions 2012 to 2022, the change in the coastline, the rate and distance that will occur is abrasion. The coastline area due to abrasion increased by 57,702 m in 2002-2012 and 2012-2022, while the coastline area due to accretion in 2002-2012 and 2012-2022 decreased by 61,851 m.
Danau Maninjau merupakan danau vulkanik dengan kondisi air berupa air tawar. Penelitian ini bertujuan untuk memetakan kedalaman perairan pada kawasan Danau Maninjau Kabupaten Agam dan menilai pengaruh dari distribusi sampel lapangan pada kualitas hasil transoformasi citra. Data yang digunakan citra satelit Sentinel 2A, titik hasil pengukuran lapangan. Teknik analisis menggunakan algoritma Normalized difference water index, sun glint, Emperical Batimetri Methode dan regresi linear. Hasil dari penelitian ditemukan variasi distribusi kedalam peraian dari proses perekaman kedalaman objek yang direpresentasikan oleh piksel citra, yang mana kedalaman perairan dari hasil transofmrasi ini mengacu pada sampel pengukuran di lapangan. Kedalaman maksimum perairan danau berada pada rentang 107m. Perairan dangkal lebih dominan terdistribusi diwilayah utara perarian yang merupakan outlate dari Danau Maninjau. Sedangkan diwlayah selatan membentuk cekungan dalam. Distribusi sampel ini berupa peta empirical batimetri serta hubungan antara hasil pengukuran lapangan dengan transformasi dengan nilai regresi 0.769, ini menujukan sampel lapangan memberikan pengaruh yang cukup besar pada hasil transofrmasi
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