scholarly journals Pemetaan Cepat Kawasan Terdampak Bencana Longsor dan Banjir di Kabupaten Bangli, Provinsi Bali

2017 ◽  
Vol 31 (2) ◽  
pp. 44 ◽  
Author(s):  
Theresia Retno Wulan ◽  
Wiwin Ambarwulan ◽  
Anggara S. Putra ◽  
Mega D Putra ◽  
Dwi Maryanto ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Aerial Photography ◽  
Field Survey ◽  
Rapid Mapping ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Landslide Event ◽  
Aerial Vehicle ◽  
Post Disaster

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.  Abstrak 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, Bali using UAV technology. The applied methods included UAV-assisted aerial photography, field survey, and laboratory analysis. The aerial photography was conducted one day after the landslide event and at a recording altitude of 100-120 m above the ground. The spatial resolution produced in the photography was 4.5-6.5 cm. The mapped areas were the ones affected by floods and landslides in Songa A and Songa B Villages, flash floods in Yeh Mampeh, Batur Selatan Village, and landslides in Sukawana and Awan Villages. The aerial photography also provided the extent of the landslide-affected areas. Therefore, the post-disaster rehabilitation and reconstruction strategies can be implemented using the results of the aerial photography.  

Study on Interpretation of Landslides Based on Gis — Taking New Fengjie County in Chongqing as an Example

2012 ◽  
Vol 204-208 ◽  
pp. 3409-3414
Author(s):  
Le Yang ◽  
Rui Na Lu ◽  
De Jun Tan ◽  
Hong Bin Xie ◽  
Zhen Fu Luo
Keyword(s):  
Remote Sensing ◽  
Three Gorges Reservoir ◽  
Field Survey ◽  
Three Gorges ◽  
Engineering Construction ◽  
The Three Gorges Reservoir ◽  
Remote Sensing Technology ◽  
The Three Gorges ◽  
Sensing Technology ◽  
Remote Sense

The paper chooses new Fengjie county with the area of 66.90 km2 as research region to interpret landslide that picked with the proportion of 1/1000 by remote sense technique. Interpretation results of landslide are basically consistent with the results of field survey. It proves that the remote sensing technology in the landslide investigation is feasible and effective,which have strong practicability and guidanciality to engineering construction of the three Gorges Reservoir.

scholarly journals Optimalisasi Foto Udara Unmanned Aerial Vehicle (UAV) Sebagai Media Pembelajaran Penginderaan Jauh

2019 ◽  
Vol 8 (1) ◽  
pp. 45
Author(s):  
Kristhoper Simanungkalit ◽  
Muhammad Ridha Syafii Damanik ◽  
Darwin Parlaungan Lubis
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Aerial Photography ◽  
Student Response ◽  
Aerial Photographs ◽  
Aerial Image ◽  
Distortion Factor ◽  
Student Responses ◽  
Assessment Score ◽  
Aerial Vehicle

AbstractThis study aims (1) To find out how the accuracy of Unmanned Aerial Vehicle (UAV) aerial image quality using the Omission-Commission method. (2) How to use UAV aerial imagery as remote sensing learning media when viewed from the aspects of media feasibility, material worthiness, and student response. This research was conducted at the Medan State University Campus located at Jalan William Iskandar, Pasar V, Medan Estate Village, Medan North Sumatra. This location was chosen based on strategic location considerations for mapping. The results of this study indicate that the quality of the level of precision aerial photographs obtained from aerial photography results in the level of precision aerial photographs reaching above 95% with excellent categories, and aerial photographs obtained are more inclined towards omission which is influenced by the camera distortion factor , and the feasibility of UAV aerial photography learning media in terms of the aspects of the feasibility of the media achieving an assessment score of 85%, the feasibility aspects of the Material achieving an assessment score of 85% and, the results of the feasibility of instructional media based on material experts and media experts reach a score level of 85% and deserve to be used as a medium learning. The results of student responses obtained received an 89% assessment score, which results from the assessment of student responses that have been said to be good.Keywords: UAV, Remote Sensing, Unimed, Learning Media AbstrakPenelitian ini bertujuan (1) Untuk mengetahui bagaimana kualitas akurasi citra foto udara Unmanned Aerial Vehicle (UAV) dengan menggunakan metode Omisi-Komisi. (2) Bagaimana pemanfaatan citra foto udara UAV sebagai media pembelajaran penginderaan jauh bila di lihat dari aspek kelayakan media, kelayakan materi, dan respon mahasiswa. Penelitian ini dilaksanakan di Kampus Universitas Negeri Medan terletak di Jalan William Iskandar, Pasar V, Kelurahan Medan Estate, Medan Sumatera Utara. Lokasi ini dipilih atas pertimbangan lokasi yang strategis untuk melakukan pemetaan. Hasil penelitian ini menunjukkan bahwa Kualitas tingkat presisi foto udara yang didapatkan dari hasil pemotretan foto udara menghasilkan tingkat presisi foto udara mencapai diatas 95% dengan kategori sangat baik, dan foto udara yang didapatkan lebih condong ke arah omisi yang mana hal ini dipengaruhi oleh faktor distorsi kamera, dan Kelayakan media pembelajaran foto udara UAV ditinjau dari aspek kelayakan Media mencapai skor penilaian 85%, Aspek kelayakan Materi mencapai  skor penilaian 85% dan, hasil dari kelayakan media pembelajaran berdasarkan ahli materi dan ahli media mencapai tingkat skor 85% dan layak dijadikan sebagai media pembelajaran. hasil respon mahasiswa yang didapatkan mendapat skor penilaian 89% yang mana hasil dari penilaian respon mahasiswa sudah dikatakan bagus.Kata Kunci: UAV, Penginderaan Jauh, Unimed, Media Pembelajaran

scholarly journals TPP ash dump monitoring by ERS methods in the climatic conditions of Siberia

2021 ◽  
Vol 333 ◽  
pp. 02009
Author(s):  
Natalia Kruk ◽  
Mikhail Merko ◽  
Inna Merko
Keyword(s):  
Remote Sensing ◽  
Soil Structure ◽  
Climatic Conditions ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Ash And Slag Waste ◽  
Monitoring Procedure ◽  
Aerial Vehicle ◽  
Two Stages ◽  
Slag Waste

A comprehensive monitoring procedure for TPP ash dumps in the climatic conditions of Siberia is proposed, which involves implementation of two stages. At the global stage, remote sensing technology is used directly from spacecraft in Earth’s orbit, while at the regional stage, an unmanned aerial vehicle and numerical modeling are used. An example of the operations is given, which clearly shows how exactly this procedure will increase efficiency of the TPP ash dump monitoring in the climatic conditions of Siberia and help promptly take measures required to prevent collapse of the ash dump external soil structure, which may result in ash and slag waste outflow and contamination of the adjacent territory.

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology

Application of remote sensing technology to the relation of submarine pipelines and coastal morphology

1995 ◽  
Vol 32 (2) ◽  
pp. 77-83
Author(s):  
Y. Yüksel ◽  
D. Maktav ◽  
S. Kapdasli
Keyword(s):  
Remote Sensing ◽  
Sediment Transport ◽  
Surf Zone ◽  
Hydrodynamic Forces ◽  
Construction Site ◽  
Coastal Morphology ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Sea Bed

Submarine pipelines must be designed to resist wave and current induced hydrodynamic forces especially in and near the surf zone. They are buried as protection against forces in the surf zone, however this procedure is not always feasible particularly on a movable sea bed. For this reason the characteristics of the sediment transport on the construction site of beaches should be investigated. In this investigation, the application of the remote sensing method is introduced in order to determine and observe the coastal morphology, so that submarine pipelines may be protected against undesirable seabed movement.

scholarly journals Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing—A Systematic Review. Part I: A General Framework

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 327 ◽  
Author(s):  
Riccardo Dainelli ◽  
Piero Toscano ◽  
Salvatore Filippo Di Gennaro ◽  
Alessandro Matese
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Relevant Information ◽  
Forest Monitoring ◽  
Machine Learning Techniques ◽  
Planted Forests ◽  
Systematic Analysis ◽  
Aerial Photogrammetry ◽  
Wide Range ◽  
Aerial Vehicle

Natural, semi-natural, and planted forests are a key asset worldwide, providing a broad range of positive externalities. For sustainable forest planning and management, remote sensing (RS) platforms are rapidly going mainstream. In a framework where scientific production is growing exponentially, a systematic analysis of unmanned aerial vehicle (UAV)-based forestry research papers is of paramount importance to understand trends, overlaps and gaps. The present review is organized into two parts (Part I and Part II). Part II inspects specific technical issues regarding the application of UAV-RS in forestry, together with the pros and cons of different UAV solutions and activities where additional effort is needed, such as the technology transfer. Part I systematically analyzes and discusses general aspects of applying UAV in natural, semi-natural and artificial forestry ecosystems in the recent peer-reviewed literature (2018–mid-2020). The specific goals are threefold: (i) create a carefully selected bibliographic dataset that other researchers can draw on for their scientific works; (ii) analyze general and recent trends in RS forest monitoring (iii) reveal gaps in the general research framework where an additional activity is needed. Through double-step filtering of research items found in the Web of Science search engine, the study gathers and analyzes a comprehensive dataset (226 articles). Papers have been categorized into six main topics, and the relevant information has been subsequently extracted. The strong points emerging from this study concern the wide range of topics in the forestry sector and in particular the retrieval of tree inventory parameters often through Digital Aerial Photogrammetry (DAP), RGB sensors, and machine learning techniques. Nevertheless, challenges still exist regarding the promotion of UAV-RS in specific parts of the world, mostly in the tropical and equatorial forests. Much additional research is required for the full exploitation of hyperspectral sensors and for planning long-term monitoring.

Sign in / Sign up

Export Citation Format

Share Document