Large-scale Tree Detection through UAV-based Remote Sensing in Indonesia: Wallacea Case Study

Kurniawan, Ibnu Febry; Aneiba, Adel; Hussain, Ambreen; Idrissi, Moad; Dunggio, Iswan; Asyhari, A. Taufiq

doi:10.1109/icim56520.2022.00027

Cited by 4 publications

(1 citation statement)

References 34 publications

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“…The results show that the real level of protection offered by protected areas (PAs) is only between one-third and half of that on paper, after accounting for human footprint [34]. All protected areas were impacted by human demands, but those that were managed primarily for the preservation of biodiversity had the greatest increases [35,36]. These findings show the disproportionately large human footprint in Sundaland and the likely escalation of the biodiversity crisis there.…”

Section: Biodiversity Threats Of Sundaland Hotspot By Human Activitiesmentioning

confidence: 99%

Optimizing Biodiversity Conservation in Sundaland through Advanced Geospatial Techniques and Remote Sensing Technologies

Gabi,

Abdullah

2024

BIO Web Conf.

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Sundaland ecosystems are under threat from human activity and climate change such as logging, agricultural practices, overexploitation of wildlife and climatic change that have led to frequent forest fires and a decline in indigenous plant and animal species. This study investigates the risks to Sundaland's biodiversity as well as the management possibilities using GIS, RS, and AI. The goal was to find out how artificial intelligence (AI) can be applied to effectively manage biodiversity and expand on the body of knowledge already available about the useful roles that GIS and RS play in the area. In this systematic method, seven databases were used to gather data from 110 research publications, of which 101 were screened for scope and subject variable. 80% (81articles) of the examined studies collected data using GIS and RS. It is found that. AI in biodiversity management is poised to grow, offering new opportunities to address the intricate challenges facing our planet's diverse ecosystems. In conclusion, for efficient monitoring, well-informed policy creation, and decision-making to guarantee the long-term preservation of Sundaland's biodiversity, integration of GIS, RS, and AI is essential.

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Section: Biodiversity Threats Of Sundaland Hotspot By Human Activitiesmentioning

confidence: 99%

Optimizing Biodiversity Conservation in Sundaland through Advanced Geospatial Techniques and Remote Sensing Technologies

Gabi,

Abdullah

2024

BIO Web Conf.

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Energy harvesting from tropical biomasses in Wallacea region: scenarios, technologies, and perspectives

Darmawan

Asyhari

Dunggio

et al. 2023

Biomass Conv. Bioref.

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Wallacea attracts much attention from researchers because it is a meeting point between Asia and Australia with rich biodiversity. Therefore, bioenergy source identification in this region is crucial to better understanding biomass potential and utilization. On the other hand, national bioenergy development usually refers to government policies, including granting permits to use forest land, especially on unproductive land. Thus, balanced utilization of tropical forests as an energy source is required. It must consider several aspects comprehensively, including its function in protecting the surrounding landscape, contributing to food security, and creating economic opportunities for communities around forest areas. This paper addresses biomass utilization in the Wallacea region aligned with Indonesian policy targets for bioenergy generation to achieve the net zero emission target by 2060. The study is carried out by limiting the scope of the area and relying on international databases and the nation’s potential targeting biomass research. In addition, the recent development of conversion technologies is adjusted based on available biomass types, including geographic information systems for potential biomass analysis. The analysis and data synchronization are presented in charts, graphs, and tables. In the early section, the potential of biomass in the Wallacea is explained. The following section discusses several scenarios, routes, and utilization technology options for biomass utilization. Various studies that have been conducted are presented in this section, including machine learning adoptions to model and optimize biomass conversion processes. Furthermore, challenges and opportunities are discussed by looking at various factors, such as accessibility, socio-economics, life cycle assessment, and environmental issues.

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Delivering High-Resolution Historical Remote Sensing Image using Integration of SRGAN

Vatresia,

Ismanto,

Utama

et al. 2023

2023 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)

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Large-scale Tree Detection through UAV-based Remote Sensing in Indonesia: Wallacea Case Study

Cited by 4 publications

References 34 publications

Optimizing Biodiversity Conservation in Sundaland through Advanced Geospatial Techniques and Remote Sensing Technologies

Optimizing Biodiversity Conservation in Sundaland through Advanced Geospatial Techniques and Remote Sensing Technologies

Energy harvesting from tropical biomasses in Wallacea region: scenarios, technologies, and perspectives

Delivering High-Resolution Historical Remote Sensing Image using Integration of SRGAN

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