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Monitoring Aerosol Optical Depth for Air Quality Through Himawari-8 in Urban Area West Java Province Indonesia Riki Ridwana; Shafira Himayah; Muh Fiqri Abdi Rabbi; Izma Maulana Ahmad Lugina; Azhari Al Kautsar; Anjar Dimara Sakti
JURNAL GEOGRAFI Vol 15, No 2 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i2.36866

Abstract

Air quality is a crucial parameter in human life. One air quality indicator can be observed through Aerosol Optical Depth (AOD). If these substances are pollutants such as particulate matter, aerosols, and ozone, it is confident that air quality will deteriorate, threatening human health and causing climate change. AOD monitoring can be used as a basis for policymakers and related parties to maintain the stability of air quality in the atmosphere. Many ground observation stations monitor air quality by obtaining data on PM2.5 and PM10 aerosol particles. However, the number of ground stations is limited, resulting in incomplete data. Fortunately, remote sensing satellites have the advantage of covering large areas and providing continuous observations, with the ability to gather information on large-scale aerosol and obtain spatiotemporal distribution. Therefore, this research aims to obtain AOD through Himawari-8 and analyze the spatiotemporal air quality in urban areas of West Java based on AOD. The research methodology used in this study is descriptive analysis with an empirical research approach. Assisted by remote sensing technology and Geographic Information Systems, this research generates AOD data extraction that can be obtained from the new generation satellite of Himawari-8. The distribution of AOD levels and spatiotemporal monitoring in urban areas of West Java is very dynamic depending on anthropogenic activity in a particular area and time. Keywords: Aerosol Optical Depth (AOD), Air Quality, Himawari-8
Vegetation and Built-Up Area Monitoring in Bandung City Using Multitemporal Imagery Shafira Himayah; Zidan Ramadhan; Ghina Yusriyyah Salma
JURNAL GEOGRAFI Vol 15, No 1 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i1.42656

Abstract

Bandung is West Java's largest metropolitan city and Indonesia's third largest. The city of Bandung is very strategic in various aspects, such as accessibility, communication, public facilities, and the economy. The Increased population in Bandung indicates more complex ongoing human activities, which can then affect changes in land use. The land covers in urban areas tends to change more drastically over a short period e than in rural areas because of rapid urbanization. Therefore, urban phenomenon changes are ideally monitored and detected from satellite images with a multitemporal resolution. Vegetation greenness and built-up areas can identify through multitemporal remote sensing imagery. Changes in vegetation and built-up area can monitor using remote sensing with multitemporal imagery. The analysis of changes in vegetation and built-up area studied in Bandung City represents an area with rapid population growth. This study aims to: 1) Identify changes in vegetation greenness in Bandung City between 2014 and 2021, 2) Identify built-up area changes in Bandung City between 2014 and 2021, 3) Analyze the relevance between vegetation greenness and the built-up area in Bandung City—the correlation between NDBI and NDVI through selected samples is representative of all data in Landsat 8 imagery. The proportion between the values of NDBI and NDVI samples is 0.9034. So, it is concluded that the two variables are positively correlated. Therefore, the study’s results recommend preserving vegetated land cover to conserve natural resources and prevent increased land surface temperature.Keywords: Remote Sensing Imagery, Built-Up Area, Vegetation Greenness, Bandung City
Evaluasi Kesesuaian Lahan Untuk Permukiman Di Kecamatan Cimenyan Kabupaten Bandung Menggunakan Sistem Informasi Geografis Javanda Piscesa Markasabana, Firstamora; Ningrum, Epon; Himayah, Shafira
Jurnal Sains Geografi Vol 3 No 1 (2025): JURNAL SAINS GEOGRAFI
Publisher : Fakultas Ilmu Sosial dan Hukum, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jsg.v3.i1.07

Abstract

Tingginya kebutuhan lahan untuk permukiman di Kecamatan Cimenyan, yang dipicu oleh pesatnya pertumbuhan penduduk, telah mendorong terjadinya alih fungsi lahan secara masif, termasuk pembangunan ilegal yang tidak sesuai dengan parameter kesesuaian lahan. Kondisi ini meningkatkan kerentanan wilayah terhadap bencana serta tekanan terhadap lingkungan. Pendekatan evaluasi kesesuaian lahan berbasis Sistem Informasi Geografis (SIG) digunakan untuk menganalisis tingkat kesesuaian lahan permukiman dengan mempertimbangkan aspek fisik wilayah serta kesesuaian terhadap Rencana Tata Ruang Wilayah (RTRW). Penelitian ini bertujuan untuk mengevaluasi kesesuaian lahan permukiman di Kecamatan Cimenyan melalui metode overlay antara data penggunaan lahan, data fisik, dan peta RTRW. Hasil penelitian menunjukkan bahwa penggunaan lahan di wilayah ini masih didominasi oleh lahan perkebunan seluas 1.474 hektar. Berdasarkan analisis kesesuaian fisik, terdapat 1.942 hektar lahan yang tergolong dalam kategori “Sesuai Marginal” untuk permukiman. Adapun luas area permukiman dalam kesesuaian lahan yang telah di overlay dengan peta RTRW seluas 160,429 hektar, menunjukkan bahwa  terdapat ketidaksesuaian antara kondisi eksisting di lapangan dengan rencana tata ruang. Ketidaksesuaian ini menunjukkan perlunya reformulasi kebijakan perencanaan di tingkat pemerintahan daerah dengan memasukkan analisis kesesuaian lahan sebagai komponen utama dalam penyusunan RTRW serta diperlukan evaluasi dalam pengendalian pembangunan ke depan. Kedepannya, pemanfaatan peta kesesuaian lahan dapat dijadikan acuan utama dalam perencanaan wilayah, penegakan regulasi tata ruang, serta peningkatan pengawasan pembangunan agar menjadi solusi yang efektif berdasarkan prinsip pembangunan berkelanjutan dan mitigasi risiko bencana
Perbandingan Hasil Klasifikasi Tutupan Lahan dan Penggunaan Lahan Menggunakan Citra Satelit Landsat, Sentinel, dan Pleiades As, Muhammad Dwi Apriansyah; Ambarwati, Artanty Basilia; Kamila, Tazkia Najwa; Nabila, Salsa Hasna; Alviandi, Rifqi; Putra, Aditya Akasha; Setiawan, Muhammad Ridwan; Somantri, Lili; Himayah, Shafira
Jurnal Pendidikan Geografi Undiksha Vol. 13 No. 1 (2025): Jurnal Pendidikan Geografi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpg.v13i1.83872

Abstract

Remote sensing has become a significant technology in the analysis and monitoring of land use and vegetation. This technology allows for efficient data collection on a large scale and periodic monitoring of changes in land use and vegetation conditions. This study focuses on comparing the classifications generated from the interpretation of Landsat, Sentinel, and Pleiades satellite images in monitoring the same area. The problem often centers on the accuracy of the interpretation results from the images used, so this study employs three types of images to compare their accuracy using the accuracy test method of the confusion matrix. The land use and land cover in Cihanjuang Rahayu Village, based on the interpretation results from the three types of images, show results that are almost identical and complement each other.
The Analisis Perubahan Land Use dan Land Cover di Desa Ciwaruga menggunakan Citra Satelit Landsat-8, Sentinel-2A dan Pleiades Faqikh, Achmad; Dzulfikar, Faiz; Fatima, Kalita Adelpha; Kurnia, Liqa Wapiq; Fyndiani, Saskia Syafinda; Alamsah, Shakti Aulia; Salamah, Sheren Siti; Somantri, Lili; Himayah, Shafira
Jurnal Pendidikan Geografi Undiksha Vol. 13 No. 2 (2025): Jurnal Pendidikan Geografi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpg.v13i2.83877

Abstract

Remote sensing is a technology used to obtain information about the earth or objects on the earth's surface through the capture and analysis of data from sensors located on satellite aircraft. The benefits of remote sensing are numerous, one of which is for mapping land use and land cover. In conducting this research, there are 3 types of images used, namely Landsat 2014 and 2024 images, Sentinel 2024 images, and Pleiades 2024 images. The reason for taking these three images for analysis and practicum is because the Landsat image has low spatial resolution, the sentinel image has medium spatial resolution, and the pleiades image has high spatial resolution. This difference can show the most effective image used to analyze land cover and land use in Ciwaruga Village. The accuracy test using Confusion Matrix and Kappa Index shows a good level of interpretation accuracy if it exceeds the predetermined standards. In this case, the use of high-resolution imagery, such as Pleiades, provides more detailed interpretation results.
Monitoring Aerosol Optical Depth for Air Quality Through Himawari-8 in Urban Area West Java Province Indonesia Ridwana, Riki; Himayah, Shafira; Rabbi, Muh Fiqri Abdi; Ahmad Lugina, Izma Maulana; Al Kautsar, Azhari; Sakti, Anjar Dimara
JURNAL GEOGRAFI Vol. 15 No. 2 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i2.36866

Abstract

Air quality is a crucial parameter in human life. One air quality indicator can be observed through Aerosol Optical Depth (AOD). If these substances are pollutants such as particulate matter, aerosols, and ozone, it is confident that air quality will deteriorate, threatening human health and causing climate change. AOD monitoring can be used as a basis for policymakers and related parties to maintain the stability of air quality in the atmosphere. Many ground observation stations monitor air quality by obtaining data on PM2.5 and PM10 aerosol particles. However, the number of ground stations is limited, resulting in incomplete data. Fortunately, remote sensing satellites have the advantage of covering large areas and providing continuous observations, with the ability to gather information on large-scale aerosol and obtain spatiotemporal distribution. Therefore, this research aims to obtain AOD through Himawari-8 and analyze the spatiotemporal air quality in urban areas of West Java based on AOD. The research methodology used in this study is descriptive analysis with an empirical research approach. Assisted by remote sensing technology and Geographic Information Systems, this research generates AOD data extraction that can be obtained from the new generation satellite of Himawari-8. The distribution of AOD levels and spatiotemporal monitoring in urban areas of West Java is very dynamic depending on anthropogenic activity in a particular area and time. Keywords: Aerosol Optical Depth (AOD), Air Quality, Himawari-8
Vegetation and Built-Up Area Monitoring in Bandung City Using Multitemporal Imagery Himayah, Shafira; Ramadhan, Zidan; Salma, Ghina Yusriyyah
JURNAL GEOGRAFI Vol. 15 No. 1 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i1.42656

Abstract

Bandung is West Java's largest metropolitan city and Indonesia's third largest. The city of Bandung is very strategic in various aspects, such as accessibility, communication, public facilities, and the economy. The Increased population in Bandung indicates more complex ongoing human activities, which can then affect changes in land use. The land covers in urban areas tends to change more drastically over a short period e than in rural areas because of rapid urbanization. Therefore, urban phenomenon changes are ideally monitored and detected from satellite images with a multitemporal resolution. Vegetation greenness and built-up areas can identify through multitemporal remote sensing imagery. Changes in vegetation and built-up area can monitor using remote sensing with multitemporal imagery. The analysis of changes in vegetation and built-up area studied in Bandung City represents an area with rapid population growth. This study aims to: 1) Identify changes in vegetation greenness in Bandung City between 2014 and 2021, 2) Identify built-up area changes in Bandung City between 2014 and 2021, 3) Analyze the relevance between vegetation greenness and the built-up area in Bandung City”the correlation between NDBI and NDVI through selected samples is representative of all data in Landsat 8 imagery. The proportion between the values of NDBI and NDVI samples is 0.9034. So, it is concluded that the two variables are positively correlated. Therefore, the study™s results recommend preserving vegetated land cover to conserve natural resources and prevent increased land surface temperature.Keywords: Remote Sensing Imagery, Built-Up Area, Vegetation Greenness, Bandung City