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Journal : International remote sensing application journal

DETECTION OF LAND USE CHANGES USING LANDSAT 8 COMPOSITE BAND 4,3,2 AND BAND 7,6,4 COMPOSITE IMAGES IN 2019 AND 2022 USING THE METHODPOST- CLASSIFICATION COMPARISSON PADANG CITY REGION saputra, eko bima; putri, sri kandi; ernawati, ernawati; febriandi, febriandi
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.53

Abstract

This study aims to 1) determine the area of land use in the city of Padang in 2019 and 2022 using the 4,3,2 (True Color) composite. 2) to determine the area of land use in Padang City in 2019 and 2022 using composite 7,6,4 (False Colour). 3) to find out changes in land use in the City of Padang in 2019 and 2022 using the Post- Classification Comparisson method. Processing is done using Landsat 8 satellite imagery downloaded from the USGS website. Before performing image interpretation, radiometric correction, atmospheric correction and geometric correction are carried out as well as band composite and satellite image cropping with the boundaries of the study area, namely the administrative boundaries of the City of Padang. The interpretation process is carried out using the Maximum Likelihood method using digital image processing applications and Geographic Information Systems (GIS). Change detection analysis method through Post-Classification Comparisson. Accuracy sampling was carried out systematically random sampling with the confusion matrix accuracy test technique. The results of the study in the Padang City area which has an area of 694.96 km2, Land use changes using Composite Band 4,3,2 Mixed Forests experienced a reduction of around 157.58Ha. Open land increased by around 48.85 Ha, rice fields decreased by 397.84 Ha. built-up area increased by around 94.12 Ha. Shrubs and shrubs, an increase of about 412.45 Ha. Changes in land use using Composite Band 7,6,4 Mixed Forest experienced a reduction of around 155.32 Ha. Open land increased by around 48.70 Ha. paddy fields decreased by 399.03 Ha. built-up area increased by around 94.83 Ha. Shrubs and shrubs increased by around 410.82 Ha of rivers in 2019 and in 2022 there will be no change with an area of 437.33 Ha.
UTILIZATION OF SENTINEL-2 IMAGES FOR MAPPING THE CORAL REEF AREA IN THE CONSERVATION AREA OF PIEH ISLAND WATERS 2022 Amatullah, Ulfi Rahmi; Febriandi, Febriandi; Ernawati, Ernawati; Arif, Dian Adhetya
International Remote Sensing Applied Journal Vol. 5 No. 2 (2024): International Remote Sensing Application Journal (December Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i2.63

Abstract

Coral reefs are known as complex and productive shallow tropical marine ecosystems. They serve as a habitat for various species of marine plants, marine animals, and marine microorganisms. The deterioration of coral reefs threatens the survival of this shallow marine ecosystem. Mapping the distribution of coral reefs using remote sensing technology is a crucial instrument in the effort to monitor and protect coral reefs while preserving the marine environment. This research aims to map and measure the extent of coral reefs in the Pieh Islands Marine Conservation Area in 2022. In this study, we used Sentinel-2 imagery from 2022 and applied the Object-Based Image Analysis (OBIA) method to detect the extent of coral reefs. Sentinel-2 imagery was processed using ArcGIS and eCognition software, involving atmospheric correction, image clipping, image compositing, segmentation, image classification, and accuracy testing. The data processing results indicate that coral reefs are distributed around the waters of Pieh Islands, with the highest density located to the south of Pieh Islands's waters. The total extent of detected coral reefs in this study is 15.76 hectares. The use of Sentinel-2 imagery with the OBIA method has proven to be effective in detecting the extent of coral reefs in the Pieh Islands Marine Conservation Area.