Abstrak Teknologi penginderaan jauh mengalami perkembangan yang sangat pesat. Salah satunya adalah teknologi akuisisi data dengan menggunakan UAV (Unmanned Aerial Vehicle). Teknologi UAV dapat dipergunakan dalam berbagai bidang, salah satunya adalah bidang kebencanaan. Tujuan penelitian ini adalah untuk melakukan pemetaan secara cepat kawasan terdampak bencana banjir dan longsor di Kabupaten Bangli, Bali dengan menggunakan teknologi UAV. Metode yang digunakan adalah pemotretan udara dengan UAV, survei lapangan dan analisis laboratorium. Pemotretan udara dilakukan satu hari pasca kejadian longsor dengan ketinggian jelajah pesawat antara 100-120 meter di atas permukaan tanah. Resolusi spasial yang dihasilkan antara 4,5 -6,5 cm. Wilayah yang berhasil dipetakan adalah wilayah yang terdampak banjir dan longsor di Desa Songan A serta Songan B, wilayah terdampak banjir bandang Yeh Mampeh di Desa Batur Selatan, serta wilayah terdampak longsor di Desa Sukawana dan Desa Awan. Berdasarkan hasil pemotretan udara, dapat diketahui luasan daerah terdampak longsor. Lebih lanjut, strategi rehabilitasi dan rekonstruksi dapat dilakukan dengan menggunakan hasil pemotretan udara. Kata kunci: UAV, Rapid Mapping, banjir, longsor, Bali Abstract Remote sensing technology is experiencing rapid developments. One of which is in the field of data acquisition that has currently adopted the use of Unmanned Aerial Vehicle (UAV). UAV technology is, for instance, employed in various studies related to disasters. This research aimed to perform a rapid mapping of flood-and landslide-affected areas in Bangli Regency
Geoecology is a landscape study combined with the social and environmental aspect. The study aims to identify Geoecology of coastal Manado, North Sulawesi. Identification of coastal Geoecology using Landsat 8 supported by SRTM. Data was collected by field survey and taking aerial photo using UAVs. The field survey was conducted to capture the documentation and in-depth interviews. The research method is the interpretation of remote sensing imagery. Data from image interpretation collaborated with field survey data. The results showed that there are three types of coastal that is sandy, rocky and muddy. The sandy comes from karst hills and volcanoes. The rocky and karst hills come from volcanic material that has the character of a big wave. The muddy affected by the presence of the river that carries materials from structural hills. Geoecology based coastal area management is expected to be instrumental in structuring regional integrated and planned.
These last few years, a lot of tourism village appeared in various regions, as well as in Sleman, Yogyakarta. Department of Tourism and Culture Sleman, noted, until 2015 there were a total of 35 tourism village with a variety of categories. With many of the tourism village, is necessary to manage the tourism village well. Mapping the location of the tourism village in Sleman district, conducted to provide ease of access roads to tourist sites for tourists domestic and foreign tourists. Software used is ArcGIS 10.1. with ArcGIS can make a map of Tourism Village Location Sleman 2015.
A Very high intensity of regional development is ubiquitous in urban areas. Therefore, urban development requires a proper spatial development strategy in many facets, especially social aspect and disaster potential. The essence of social aspect lies in the prevailing norms and local wisdom that have long existed and become the basis of community life. Inducing various effects on infrastructure development, disaster potential has to be considered as well. Disaster mitigation measures can start with the use of continually developing remote sensing technology, which provides a basis for preparing sustainable development planning. The realization of these measures in urban areas demands specific adjustment to the environmental conditions. This study aimed to examine the capacity of remote sensing data to support disaster mitigation and infrastructure planning based on energy conservation in urban areas. The results indicate that remote sensing technology can be an option for sustainable development planning in urban areas.
Open green Space is a spatial plan model aiming to maintain the quality of the environment. Nowadays, the number and distribution of Open green Space have decreased, particularly in urban areas. Such decline is due to many reasons, one of which is land conversion caused by social activities. This research aimed to analyse the distribution pattern and identify the type of Open green Space in Yogyakarta City. The method in this study using moran's I Index approach, GIS and direct field review. The results showed that the Open green Space was clustered with Moran's Index of 0,074594. Validation with field check indicated that there was an absence of even, thorough, and most recent Open green Space identification. Visual detection using high-resolution satellite images and aerial photos affirmed that many open green spaces had not been inventoried, justifying the need for data update in Yogyakarta City. The identification process resulted in different types of Open green Space, but the most widely distributed ones in Yogyakarta City were in the forms of Private yard, Office park, Green belt, and City Parks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.