Armi Susandi
Department of Meteorology, Institut Teknologi Bandung, Labtek XI Building floor 1, Jalan Ganesa 10 Bandung 40132, Indonesia

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Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest) Jaya, Laode M Golok; Wikantika, Ketut; Sambodo, Katmoko Ari; Susandi, Armi
Forum Geografi Vol 31, No 1 (2017): July 2017
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v31i1.2518

Abstract

This paper was aimed to analyse the effect of temporal decorrelation in carbon stocks estimation. Estimation of carbon stocks plays important roles particularly to understand the global carbon cycle in the atmosphere regarding with climate change mitigation effort. PolInSAR technique combines the advantages of Polarimetric Synthetic Aperture Radar (PolSAR) and Interferometry Synthetic Aperture Radar (InSAR) technique, which is evidenced to have significant contribution in radar mapping technology in the last few years. In carbon stocks estimation, PolInSAR provides information about vertical vegetation structure to estimate carbon stocks in the forest layers. Two coherence Synthetic Aperture Radar (SAR) images of ALOS PALSAR full-polarimetric with 46 days temporal baseline were used in this research. The study was carried out in Southeast Sulawesi tropical forest. The research method was by comparing three interferometric phase coherence images affected by temporal decorrelation and their impacts on Random Volume over Ground (RvoG) model. This research showed that 46 days temporal baseline has a significant impact to estimate tree heights of the forest cover where the accuracy decrease from R2=0.7525 (standard deviation of tree heights is 2.75 meters) to R2=0.4435 (standard deviation 4.68 meters) and R2=0.3772 (standard deviation 3.15 meters) respectively. However, coherence optimisation can provide the best coherence image to produce a good accuracy of carbon stocks.  
Integration of Renewable Energy and Blue Carbon Ecosystems for Coastal Climate Change Mitigation and Adaptation in Indonesia's Oil and Gas Industry Susandi, Armi; Wijaya, Aristyo Rahadian; Ihsan, Mustafid; Nugroho, Ahmad Wirantoaji; Zulfikar, Muhammad Rafid
Journal of Earth and Marine Technology (JEMT) Vol 4, No 2 (2024)
Publisher : Lembaga Penelititan dan Pengabdian kepada Masyarakat - Institut Teknologi Adhi Tama Suraba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jemt.2024.v4i2.5575

Abstract

This study investigates the potential of integrating renewable energy and blue carbon ecosystems for coastal climate change mitigation and adaptation in Indonesia's upstream and downstream oil and gas industry. The urgency for the integration is also discussed, including climate change mitigation, energy security, technological innovation, social and environmental justice, and long-term planning and resilience. The study uses Army Design Methodology to identify the key challenges and opportunities of integrating renewable energy and blue carbon ecosystems. The findings suggest that the integration of renewable energy and blue carbon ecosystems can play a crucial role in coastal climate change mitigation and adaptation, particularly in Indonesia's oil and gas industry. The paper concludes with recommendations for further research and policy development in this area.
STUDY OF CLIMATE CHANGE HAZARDS USING THE CLIMATE HAZARD INDEX IN INDONESIA Wir, Joko Wiratmo; Robbani, Ismail; Susandi, Armi
Bulletin of Geology Vol 8 No 1 (2024): Bulletin of Geology Vol. 8 no. 1
Publisher : Fakultas Ilmu dan Teknologi Kebumian (FITB), Institut Teknologi Bandung (ITB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/bull.geol.2024.8.1.4

Abstract

Climate change is a serious problem for the world. It causes significant impact on ecosystems and people in all parts of the world’s continents and oceans and poses grave risks to human health, global food security and economic development. One of the steps to reduce climate change disasters is climate risk management. Climate Risk Index (CRI) is a quantitative calculation of many climate risks with thresholds specific to extreme weather and climate events that cause disasters. One of the stages in preparing the CRI is to determine a hazard valuation or Climate Hazard Index (CHI). Because the climatic conditions in Indonesia vary with rainfall, it is necessary to conduct a study to determine the CHI associated with this variable.Therefore, in this study, climate hazards that are analyzed are limited to rainfall-related hazards, which are drought and extreme rainfall events. Then the constituent components of the CHI studied are the drought index and the extreme rain index. This hazard study shows an increasing trend in each of the CHI constituent component indices with a very high frequency of hazard events occurring frequently from 1995 to 2021. June was the month that had the highest average CHI among other months throughout 1962 -2021. In terms of spatial patterns, CHI is extreme in the Indonesian region with local and equatorial rainfall patterns. Whereas in the monsoon pattern, CHI is in the medium-very low range. Furthermore, CHI can be influenced by several factors, one of which is forest land cover. The results show that when the loss of forest land cover increases, the CHI value and its component index will also increase in the short term. Key words: Hazard, Climate change, Climate Hazard Index, Indonesia
Kesiapsiagaan Generasi Z terhadap Bencana Geologi akibat Aktivitas Sesar Lembang di Wilayah Bandung Rahmadhani, Tasya; Susandi, Armi; Heridadi, Heridadi
ARZUSIN Vol 5 No 5 (2025): OKTOBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/arzusin.v5i5.7601

Abstract

The limited research on knowledge, risk perception, and preparedness of Generation Z regarding geological disaster threats in the Bandung area forms the background of this study, considering the potential of the Lembang Fault to cause significant social and economic impacts in densely populated urban regions. This research aims to explore and understand the levels of knowledge, risk perception, and preparedness behaviors of Generation Z in facing potential geological disasters. A descriptive qualitative approach was adopted, with informants selected through purposive sampling based on the criteria of individuals born between 1997 and 2010 residing in Bandung City and Regency. Data were collected through semi-structured in-depth interviews and analyzed using the Miles, Huberman, and Saldaña model, which includes data reduction, data display, and verification. The findings reveal that while most Generation Z participants possess basic knowledge about the Lembang Fault and recognize earthquakes as its primary consequence, this awareness is not yet reflected in practical preparedness measures. Limited participation in evacuation drills, absence of personal emergency plans, and restricted access to disaster-related information are identified as major obstacles. The study concludes that there is a gap between knowledge and preparedness actions among Generation Z. Therefore, an integrated strategy involving digital-based disaster education, participatory training, and the strengthening of local community networks is necessary to enable Generation Z to become strategic actors in building disaster resilience in high-risk areas such as Bandung.