Mahasiswa Program Studi Doktor Ilmu Geografi, Fakultas Geografi (FGe) Universitas Gadjah Mada (UGM), Indah Waty Bong, menerima penghargaan Prix Mahar Schützenberger 2025. Penghargaan ini diberikan oleh Association Franco-Indonésienne pour le Développement des Sciences (AFIDES) kepada empat mahasiswa doktoral Indonesia yang tengah melakukan penelitian di Prancis.

Penelitian yang membawa Indah menerima penghargaan ini tengah dilakukan di GAIA – Université de Montpellier dengan topik riset tentang “Pengelolaan Sumber Daya Alam dan Konservasi Mandiri di Indonesia”.  read more

Dalam rangka mendukung pencapaian target Forestry and Other Land Use (FOLU) Net Sink 2030, Fakultas Geografi (FGe) Universitas Gadjah Mada (UGM) menyelenggarakan Focus Group Discussion (FGD) pada Kamis (12/6) di Hotel Porta by Ambarrukmo, Yogyakarta. Kegiatan ini mengambil tema “Sinkronisasi Hasil Kajian Ecosystem-based Approach (EbA) di Daerah Aliran Sungai (DAS) Indragiri, Rokan, Sepaku, Brantas, dan Karst Jawa”.

FGD ini merupakan bagian dari WP 2.1 dan 2.2 yang bertujuan untuk melakukan validasi terhadap matriks indikator EbA sebagai instrumen penilaian praktik baik pendekatan berbasis ekosistem. Selain itu, kegiatan ini juga dimaksudkan untuk menguji coba penerapan matriks indikator versi awal serta memetakan kesesuaian dan efektivitasnya bagi calon pengguna. read more

Dalam momentum peringatan Hari Lingkungan Hidup Sedunia, Fakultas Geografi (FGe) Universitas Gadjah Mada (UGM) menggelar aksi nyata melalui kegiatan penanaman pohon Mojo di lingkungan kampus pada Rabu (4/6). Inisiatif ini bukan sekadar simbolis, melainkan bagian dari aksi nyata untuk membangun kesadaran ekologi dan komitmen terhadap planet berkelanjutan.

Penanaman pohon Mojo digagas oleh Prof. Dr. Suratman, M.Sc., dosen Fakultas Geografi UGM sebagai respons konkret terhadap isu lingkungan global, khususnya perubahan iklim dan hilangnya keanekaragaman hayati. read more

Tim GeosainsCode Universitas Gadjah Mada (UGM) meraih juara pertama dalam kategori Innovative Essay Competition (IEC) pada The 22th Civil Engineering National Summit (CENS) yang diselenggarakan Fakultas Teknik Universitas Indonesia (UI). Dua dari tiga anggota tim merupakan mahasiswa dari Fakultas Geografi (FGe) UGM, yaitu Astri Sholikhah dan Mujaddid Azka Fikri Ghajali dari Program Studi Geografi Lingkungan angkatan 2023, sementara satu anggota lainnya, Dina Inanda Kamila, berasal dari Teknik Arsitektur UGM. Capaian ini sekaligus mencatatkan sejarah baru sebagai tim pertama dari luar disiplin Teknik Sipil yang menjuarai kompetisi tersebut. read more

Fakultas Geografi Universitas Gadjah Mada (UGM) terus berkomitmen mendukung pencapaian target FOLU Net Sink 2030 melalui penyelenggaraan Focus Group Discussion (FGD) WP 2.3 bertajuk “Sinkronisasi Hasil Kajian EbA di DAS Indragiri, Rokan, Sepaku, Brantas, dan Karst Jawa”. Kegiatan ini menjadi forum strategis untuk menginventarisasi dan memverifikasi data spasial yang mendukung pendekatan Ecosystem-based Adaptation (EbA), sekaligus menyiapkan data terstandarisasi untuk diintegrasikan ke dalam sistem Geoportal FOLU Net Sink 2030. read more

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

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