Mapping and classification of ecologically sensitive marine habitats using unmanned aerial vehicle (UAV) imagery and object-based image analysis (OBIA)

Nowadays, emerging technologies, such as long-range transmitters, increasingly miniaturized components for positioning, and enhanced imaging sensors, have led to an upsurge in the availability of new ecological applications for remote sensing based on unmanned aerial vehicles (UAVs), sometimes referred to as “drones”. In fact, structure-from-motion (SfM) photogrammetry coupled with imagery acquired by UAVs offers a rapid and inexpensive tool to produce high-resolution orthomosaics, giving ecologists a new way for responsive, timely, and cost-effective monitoring of ecological processes. Here, we adopted a lightweight quadcopter as an aerial survey tool and object-based image analysis (OBIA) workflow to demonstrate the strength of such methods in producing very high spatial resolution maps of sensitive marine habitats. Therefore, three different coastal environments were mapped using the autonomous flight capability of a lightweight UAV equipped with a fully stabilized consumer-grade RGB digital camera. In particular we investigated a Posidonia oceanica seagrass meadow, a rocky coast with nurseries for juvenile fish, and two sandy areas showing biogenic reefs of Sabelleria alveolata. We adopted, for the first time, UAV-based raster thematic maps of these key coastal habitats, produced after OBIA classification, as a new method for fine-scale, low-cost, and time saving characterization of sensitive marine environments which may lead to a more effective and efficient monitoring and management of natural resource

Pemetaan Batas Wilayah desa Menggunakan Teknologi Unmanned Aerial Vehicle (UAV) di Desa Pamarunan

Peta adalah salah satu bahan dasar dalam perencanaan pembangunan. Dalam peta ditunjukkan data dan informasi yang diperlukan, khususnya pembagian wilayah dalam perencanaan pembangunan. Dengan peta, wilayah desa akan mengalami kelancaran perencanaan pembangunan, karena lokasi pembangunan dapat dianalisis persebaran ruangnya, dimana dan berapa jumlahnya. Karena pentingnya peta wilayah desa tersebut maka diadakanlah Kegiatan Pemetaan Batas Wilayah Desa Menggunakan Teknologi Unmanned Aerial Vehicle (UAV) di Desa Pamarunan. Tujuan kegiatan Pengabdian Kepada Masyarakat Stimulus (PKMS) ini antara lain untuk memetakan batas wilayah desa di Desa Pamarunan, melakukan edukasi serta meningkatkan keahlian masyarakat dalam mengenali kondisi dan potensi yang terdapat pada wilayah kerja desa, dan membuat pemetaan batas wilayah desa sebagai data dasar dalam mendukung perencanaan pembangunan desa. Fungsi Unmanned Aerial Vehicle (UAV) dalam pemetaan menggunakan UAV/drone adalah untuk mengambil foto udara. Selanjutnya foto akan diolah dan dianalisis tergantung kebutuhan data yang ingin dihasilkan. Foto udara dari drone ini juga bisa disebut sebagai Fotogrametri. Keberadaan peta desa yang dibuat berdasarkan Teknologi Unmanned Aerial Vehicle (UAV) dalam kegiatan ini diharapkan mampu menjadi solusi informasi terkait potensi dan permasalahan yang ada di desa. Hasil dari pengukuran dan pemetaan fotogrametri berbentuk gambar peta atau model 3D dari beberapa objek di permukaan bum

Steep slope DEM model construction based on the unmanned aerial vehicle (UAV) images

The DEM construction of high and steep slope has great importance to slope disaster monitoring. The conventional method used to construct high and steep slope DEM model requires larger field surveying workload. First of all, the high and steep slope image was obtained through unmanned aerial vehicle (UAV) platform; Then the SIFT algorithm is used to extract the feature points which are going to be matched accurately by using RANSAC algorithm. Finally, stereo pair splicing method is used to generate orthogonal images and construct DEM model. After comparing the DEM model with actual slope measurement result collected by total station finding, it is shown that elevation error between the DEM model constructed by unmanned aerial vehicle (UAV) and actual measurement is minimal and its efficiency is proven

Unmanned Aerial Vehicle (UAV): Flight Performance

It is important that when measuring the sideslip angle and angles of attack during flight test performance of a UAV (Unmanned Aerial Vehicle), to fully understand that the Angles of attack and sideslip are parameters that aid in determining the safety of the flight as they improve stability and control of the aircraft. The disadvantage of the measurement of these angles using this method is low accuracy of measurement due to friction to the potentiometers in connection with the vanes. To counter this, a new sensing method was developed to minimize friction and collect more accurate data. The method is based on a pivoted vane type sensor. Findings from this research will later be used to advance other graduate research projects

PELATIHAN PENGGUNAAN UAV DALAM PENGAMBILAN GAMBAR PETA TOPOGRAFI PADA JURUSAN BKP SMKN 5 PEKANBARU

Bisnis Konstruksi dan Properti merupakan salah satu program keahlian di SMK Negeri 5 Pekanbaru yang mempelajari seputar perkembangan bisnis bidang properti dan pembangunan. Untuk mendukung pencapaian salah satu keterampilan yang dapat menunjang kompetensi lulusan SMK Negeri 5 Kota Pekanbaru, yaitu pengunaan pesawat tanpa awak atau Unmanned Aerial Vehicle (UAV), maka Fasilkom Unilak melaksanakan kegiatan ini yang dilaksanakan dalam bentuk teori dan praktek. Kegiatan ini di ikuti oleh 15 orang siswa kelas XII SMKN 5 Pekanbaru dari program studi Bisnis Konstruksi dan Properti. Setelah dilakukan evaluasi pada akhir kegiatan, maka semua peserta mendapatkan peningkatan pengetahuan dan keterampilan terkait 9 materi pelatihan. Kesimpulan dari kegiatan ini, dengan adanya sarana dan sumber daya manusia pada perguruan tinggi, jika di kolaborasikan dengan sekolah, akan dapat mendukung dan menjembatani proses pembelajaran di sekolah

Image processing of alos palsar satellite data, small unmanned aerial vehicle (UAV), and field measurement of land deformation

Pekanbaru, Indonesia is connected by four big bridges, Siak Bridge; I, II, III and IV. The quality of the Siak bridges deteriorated seriously at this time. Geological mapping for the land subsidence potency was conducted using small Unmanned Aerial Vehicle (UAV) in the Siak Bridge areas. The study of the Siak bridges are supported by the Differential Interferometric Synthetic Aperture Radar (DInSAR) analysis using ALOS PALSAR satellite data, and the deflection observation that occurs in Siak III Bridge was observed by field measurement. The results of 3D model analysis showed that there is no negative land deformation. DInSAR analysis shows the amount of positive deformation of Siak I is 81 cm, Siak II is 48 cm, Siak III is 89 cm, and Siak IV is 92. Deflection on Siak III Bridge was detected at around 25-26 cm. These models could be used as a new way of measuring the bridge deformation on a big scale

C-20A Precision Autopilot Development in Support of NASA's UAVSAR Program

The primary objective of the UAVSAR Project is to develop a miniaturized polarimetric L-band synthetic aperture radar (SAR) for use on an unmanned aerial vehicle (UAV) or minimally piloted vehicle