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All Journal Sumatra Journal of Disaster, Geography and Geography Education JMM (Jurnal Masyarakat Mandiri) EPI International Journal of Engineering Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat El-Jughrafiyah : Jurnal Geografi dan Terapannya International remote sensing application journal

andi, febriandi

Universitas Negeri Padang

Author-ID : 846583

Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Medicine & Pharmacology Physics Public Health Social Sciences Other

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ESTIMATION OF LAND SURFACE TEMPERATURE IN BUNGO DISTRICT USING THERMAL CHANNELS OF LANDSAT 8 IMAGES Annisa Firstyandina; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 1 No 2 (2020): international remote sensing application journal (December Edition)
Publisher : Remote Sensing Technology Study Program

The purpose of this study was to determine the land surface temperature in Bungo Regency using the Landsat 8 image thermal channel by carrying out three stages: (1) Mapping the comparison of vegetation density in 2016 and 2021 using the NDVI (Normalized Difference Vegetation Index) method. (2) Mapping land surface temperatures in 2016 and 2021 using the Land Surface Temperature method. (3) Knowing the relationship between LST and NDVI using the Correlation Person test. The results of the study explain the comparison of vegetation density using the Normalized Difference Vegetation Index (NDVI) method in 2016 and 2021 in Bungo Regency. In 2016 the classification is very dense with an area of 124,871 Ha, the classification dense with an area of 115,732 Ha, the classification medium with an area of 98,536 Ha, the classification is rare with an area of 71,920 Ha, and very rare classification with an area of 54,839 Ha. Whereas in 2021 the very dense classification will decrease to 117,216 Ha, the dense classification will decrease to 112,365 Ha, the moderate classification will decrease to 95,892 Ha, the rare classification will increase to 79,310 Ha, and the very rare classification will increase to 61,084.

MAPPING OF LANDSLIDE-PRONE AREAS BASED ON REMOTE SENSING WITH GEOGRAPHIC INFORMATION SYSTEMS IN TANAH DATAR REGENCY, WEST SUMATRA Nadyya 'Azima Muarif; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

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The aims of this study were 1) to determine the classification of landslide-prone levels in Tanah Datar Regency, 2) to and find out the causal factors for Tanah Datar Regency to be categorized as landslide-prone areas. The research method used in this study is the overlay method in the form of a combination of the results of 5 classifications (slope, rainfall, land use, geological structure, and, soil type). The type of research used is quantitative research in the form of surveys and questionnaires, statistical data sets, interviews, and, observations. The results of this study are 1) the area of Tanah Datar Regency is divided into 4 classifications of landslide-prone levels, namely low, medium, high, and very high. The landslide-prone level at the low classification level is in Pariangan District, Ten Koto District, Salimpaung District, and Sungayang District. The medium-level classification is in Batipuh District, Lima Kaum District, and Tanjung Emas District. High-level classification is in the South Batipuh District, Rembatan District, Tanjung Emas District, Padang Ganting District, Lintau Buo District, and North Lintau Buo District. Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation The medium level classification is in Batipuh District, Lima Kaum District, and Tanjung Emas District. High-level classification is in the South Batipuh District, Rembatan District, Tanjung Emas District, Padang Ganting District, Lintau Buo District, and North Lintau Buo District. Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation characterized by illegal mining, excessive extraction of wood from nature aimed at preventing landslides around slopes, infrastructure development that is not by geographical conditions, and conversion of land functions from forest areas to agricultural areas.

COASTLINE MAPPING IN KOTO TANGAH DISTRICT USING MULTITEMPORAL REMOTE SENSING IMAGES, 2002, 2012 AND 2022 Rizka Nofriyanti; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

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.

Co-Authors Ahyuni Ahyuni Annisa Firstyandina Aprizon Putra Azhari Syarief Eka Mutia Eni Kamal Ernieza Suhana Mokhtar Helmi, Dewilna I Ketut Suada Lailatur Rahmi Lailatur Rahmi Muhammad Hanif Nadyya 'Azima Muarif Novida Yenni Ramadhan, Risky Rizka Nofriyanti Syafri Anwar Triyatno Triyatno Triyatno Triyatno Triyatno Triyatno Triyatno Triyatno, . Wendi Arifin Wendri Arifin Yatno, Triyatno Yulia Permata Sari Yurni Suasti

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