Pramaditya Wicaksono | Amanda Maishella | Ramadhan

Remote Sensing Applications: Society and Environment, Volume 38, April 2025, 101552

Abstract

One of the challenges associated with the monitoring of seagrass meadows is the seasonal variability in percent cover, which is closely linked to the aboveground biomass carbon stock (AGC). To gain a comprehensive understanding of seagrass dynamics, it is essential to obtain spatial and temporal information on seagrass AGC. The most effective approach for mapping the dynamics of seagrass AGC is remote sensing; however, limited robustness of the mapping model limits their applicability across different locations. To address this issue, we developed a robust model for mapping seagrass AGC, with the objective of capturing the dynamics of seagrass AGC in intertidal seagrass meadows. Using seagrass field data and assuming that pure seagrass and sand pixels have 100 % and 0 % seagrass cover, respectively, we trained stepwise, machine learning (random forest, support vector machine, and multivariate adaptive regression spline), and deep learning (dense neural network) regression models to convert Sentinel-2 reflectance into seagrass AGC. The accuracy of the models was evaluated at multiple sites with available field data, and the results demonstrated an RMSE ranging from 6.28 to 13.97 g C m⁻² and a correlation coefficient between 0.69 and 0.83. Overall, the SVM regression model exhibited the highest accuracy. The SVM model was subsequently applied to 13 seagrass sites across Indonesia over a 36-month period, revealing consistent and recurring monthly and bimonthly AGC patterns. The majority of seagrass meadows exhibited their highest AGC during the May–June period and their lowest during the September–October period. This study also represents the first time-series mapping of seagrass AGC in Indonesia on a monthly and bimonthly basis, marking a significant advancement in understanding seagrass’s potential as a blue carbon sink. Additionally, to achieve more accurate assessments of seagrass changes, it is crucial to account for the monthly and seasonal dynamics in seagrass growth patterns. read more

Titik Munawaroh | Sukamdi | Abdur Rofi | Umi Listyaningsih

Asian Economic and Financial Review Vol. 15 No. 3 (2025)

Abstract

Indonesia, the fourth most populous country globally, is approaching an aging population and is considered unprepared for its consequences. In this context, the effect of population aging on economic growth is a widely debated topic. Previous research has shown different perspectives, stating that population aging positively and negatively influences economic growth, while other analyses report an ambiguous relationship. Therefore, this research aimed to explore the phenomenon of population aging and its economic implications by using regional macro data at the district or city level from the official 2020 BPS-Statistics Indonesia publication. Using a linear regression method, the results showed that population aging, measured by the OADR (Old Age Dependency Ratio), both traditional and modified, possesses a substantial negative influence on economic growth. However, older workers contribute positively since an increase in labor force participation could mitigate the negative consequences of population aging. Increased inclusion of older adults in economic activities is also a potential strategy for mitigating the impact. The model suggests that this method reduces economic burdens associated with an aging population. However, further research is needed to determine the most effective methods to increase the inclusion of older adults in the workforce while safeguarding basic rights in terms of health and well-being. read more

Bondan Galih Dewanto | Danang Sri Hadmoko | Nurul Fitrah Ramadhani | Admiral Musa Julius

Remote Sensing Applications: Society and Environment Volume 38, April 2025, 101555

Abstract

Throughout history, Ternate, a diminutive volcanic island located in the North Maluku Province of Indonesia, has functioned as a significant center of the nation’s social and economic activity. The Gamalama Volcano constituted a significant element of Ternate Island’s topography, and its eruption resulted in substantial disruption. The aims of this current contribution are: to monitor the historical activities of the Gamalama volcano and understanding the geothermal potential to support the energy needs in Ternate Island. The multi-temporal analysis was conducted to monitor the activity of Gamalama Volcano, utilizing satellite imagery spanning a period of 50 years. The imagery sources included Landsat 1, Landsat 4, Landsat 5, Landsat 7, ASTER, and Landsat 8. The present study employed the single-channel algorithm to derive the land surface temperature (LST). The band combination and ratio were utilized to infer the geological context and geothermal capacity of the Gamalama Volcano. The analysis of normalized differential vegetation index (NDVI) utilized in the calculation of LST has revealed that vegetation growth has occurred subsequent to certain volcanic eruptions. As per the LST data, the average temperature of the surface within the crater escalated to 38.472 °C during the eruption of 1997, thereby establishing it as the maximum temperature recorded in the past half-century. The volcanic activity of Gamalama Volcano was elucidated through the utilization of the LST technique, which has the capacity to cover various temporal intervals. The congruence between the LST data derived from Landsat and ASTER data substantiates the dependability of the LST methodology. The geothermal potential of approximately 16 °C has been observed in the crater and sand region of the volcano, along with the identification of supplementary hot spots in the north-eastern and western regions of the volcano’s primary structure. The utilization of Landsat 8 band combinations and band ratios has substantiated the presence of an area exhibiting elevated geothermal potential within the andesite and basaltic andesite geological formations. The practicality of utilizing multi-source optical satellites for monitoring volcanic activity has been exemplified by the multiple eruptions that have occurred at Gamalama Volcano. Furthermore, this technology could potentially be employed for conducting exploratory research into the geothermal potential of the region.
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Rakhmat Dwi Putra | Tjahyo Nugroho Adji | Eko Haryono

Kuwait Journal of Science, Volume 52, Issue 3, July 2025, 100422

Abstract

Tropical cockpit karst, characterized by hilly topography, steep slopes, and thin soil layers, is highly susceptible to land degradation in the form of karst rocky desertification (KRD). KRD occurs due to acute soil erosion in karst environments, leading to the exposure of bedrock. This study aims to provide a comprehensive analysis of KRD, accurately assess soil erosion rates in cockpit karst landscapes, and identify the contributing factors. The research was conducted within the Seropan underground river catchment area in the Gunungsewu Karst region. KRD was identified using an image transformation approach employing the Karst Rocky Desertification Index (KRDI). Soil loss estimation was performed using the updated Revised Universal Soil Loss Equation (RUSLE) method, incorporating the KRD factor to enhance its applicability in karst environments. The results demonstrate that KRDI is highly effective in identifying KRD. Approximately 40 % of the study area exhibits moderate to severe KRD levels, predominantly found on the slopes of conical hills, where the primary driving factors are deforestation, land clearing for dryland agriculture, and abandonment of agricultural land. The estimated total soil loss in the study area is 4975.01 tons per year, with the highest contribution occurring at the intense soil loss level. The intense to extremely intense-severe soil loss levels are correlated with the steep slopes of conical hills, highlighting the significant role of topography in soil degradation within tropical karst environments.

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Urbanization has brought innovation, employment but also pollution, heat, land degradation and a human health crisis. The challenge is how to revitalize degraded urban areas, while prioritizing ecological, social, and economic sustainability. Tackling these challenges requires innovative and transdisciplinary approaches to land restoration that are not adequately covered in most urban planning /landscape architecture university courses. 

To help bridge this gap,  we have launched (07/05) an open source global course, intended for universities and training institutions in the fields of urban planning / landscape architecture/ urban geography/ land administration and related courses worldwide. You will learn how you can access it, what this course is about and about related upcoming networking and training opportunities. read more

Fakultas Geografi Universitas Gadjah Mada (FGE UGM), sebagai Implementer Partner Program Indonesia’s FOLU Net Sink 2030, menyelenggarakan Focus Group Discussion (FGD) pertama bertajuk “Penyamaan Persepsi Hasil Kajian Landscape Dynamic dan Geoportal”. Kegiatan ini berlangsung pada 5–6 Mei 2025 di Hotel Santika Yogyakarta dan menjadi bagian penting dalam menyelaraskan hasil kajian lapangan dengan arah kebijakan iklim nasional.

FGD ini bertujuan untuk memetakan persepsi atas praktik baik kegiatan FOLU tahun 2024 sebagai dasar penyusunan indikator Ecosystem-based Approach (EbA) yang relevan dengan konteks dinamika lanskap Indonesia. Selain itu juga untuk mengidentifikasi theoretical gap antara kebijakan perubahan iklim berbasis FOLU Net Sink 2030 dengan praktik ekosistem di level tapak untuk penguatan sistem Geoportal. read more

Fakultas Geografi Universitas Gadjah Mada (UGM) menerima kunjungan akademik dari Universitas Pendidikan Ganesha (Undiksha) dalam rangkaian kegiatan Kuliah Kerja Lapangan (KKL) tahap pertama. Selain membuka ruang diskusi mengenai gambaran umum wilayah KKL, khususnya kawasan Gumuk Pasir, kunjungan tersebut juga bertujuan untuk membuka peluang kerjasama akademik.  Hal itu disampaikan I Gede Putu Suryana, S.Pd., M.Sc., Koordinator Program Studi Pendidikan Geografi dalam sambutannya.

Wakil Dekan Bidang Pendidikan, Pengajaran, dan Kemahasiswaan Fakultas Geografi UGM, Dr. Erlis Saputra, S.Si., M.Si., menyambut dengan baik kunjungan akademik dari Undiksha. Ia menyebut kedatangannya merupakan pilihan yang tepat dimana Yogykarta merupakan lokasi ideal untuk pelaksanaan KKL karena memiliki keragaman bentang lahan yang langka dan lengkap. read more

Transformasi digital yang semakin pesat menuntut masyarakat untuk beradaptasi dengan kehadiran teknologi canggih. Salah satunya adalah kecerdasan buatan atau Artificial Intelligence (AI) yang kini telah menjadi elemen penting dalam kehidupan manusia, termasuk di dunia akademik dan penelitian. Dalam dunia akademik, teknologi ini dapat membantu para akademisi dalam mempercepat eksplorasi data, analisis, serta pengembangan ide-ide terbaru.

Hal tersebut disampaikan oleh Dr. Purwani Istiana, S.I.P., M.A., pustakawan Fakultas Geografi Universitas Gadjah Mada (UGM), dalam kegiatan kelas literasi bertajuk “Pemanfaatan Scopus AI” yang diselenggarakan pada Selasa (11/2). read more

Badan Riset dan Inovasi Daerah (BRIDA) Kabupaten Banggai menjalin kemitraan dengan Fakultas Geografi Universitas Gadjah Mada (UGM) dalam upaya mengkaji potensi sumber daya air (SDA) di wilayah sentra pangan Kabupaten Banggai. 

Melalui diskusi pada Jumat (25/4) di Gedung Gedung Klinik Lingkungan dan Mitigasi Bencana (KLMB) Fakultas Geografi UGM, keduanya akan melakukan kajian identifikasi potensi sumber daya air di wilayah sentra pangan Kabupaten Banggai yang bertujuan untuk melakukan inventarisasi dan identifikasi informasi mengenai potensi sumber daya air yang ada.  read more

Upaya pengembangan Geopark Jogja menuju jejaring Geopark Nasional dan UNESCO terus dilakukan melalui riset, publikasi ilmiah, edukasi, konservasi, serta pemberdayaan masyarakat. Langkah ini diarahkan untuk mewujudkan pembangunan berkelanjutan berbasis potensi lokal dan pendekatan ilmiah. Sebagai bentuk komitmen, Badan Pengelola Geopark Jogja merintis kerja sama strategis dengan Fakultas Geografi Universitas Gadjah Mada (FGE UGM) pada Selasa (15/4).

Kolaborasi ini dapat mengintegrasikan kegiatan akademik, penelitian, dan pengabdian kepada masyarakat, sehingga mendukung perencanaan program pengembangan Geopark Jogja untuk periode 2025–2032. read more