scholarly journals Identifying Feasible Locations for Wetland Creation or Restoration in Catchments by Suitability Modelling Using Light Detection and Ranging (LiDAR) Digital Elevation Model (DEM)

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 464 ◽  
Author(s):  
Evelyn Uuemaa ◽  
Andrew Hughes ◽  
Chris Tanner
Keyword(s):  
Digital Elevation Model ◽  
Wetland Creation ◽  
Light Detection And Ranging ◽  
Light Detection ◽  
Digital Elevation ◽  
Elevation Model

scholarly journals PEMANFAATAN TEKNOLOGI LIGHT DETECTION AND RANGING (LIDAR) DALAM PEMODELAN BANJIR AKIBAT LUAPAN AIR SUNGAI

2017 ◽  
Author(s):  
Ketut Wikantika ◽  
agung budi harto ◽  
nur asriyah
Keyword(s):  
Digital Elevation Model ◽  
Light Detection And Ranging ◽  
Light Detection ◽  
Digital Elevation ◽  
Elevation Model

Penelitian ini bertujuan untuk membuat model genangan banjir akibat luapan air sungai Cikapundung dari data DEM hasil pengukuran teknologi LIDAR untuk menunjukkan kawasan berpotensi banjir sehingga dapat membantu dalam upaya mitigasi bencana banjir.Analisis pemodelan banjir memerlukan data topografi yang akurat untuk mendukung kualitas hasil pemodelan banjir. Saat ini, LIDAR merupakan teknologi penginderaan jauh terbaik yang digunakan untuk membuat relief permukaan bumi dalam bentuk tiga dimensi yang dimana sering disebut sebagai DEM (Digital Elevation Model). Tugas akhir ini membahas tentang pemanfaatan teknologi LIDAR dalam analisis genangan banjir akibat luapan sungai berdasarkan simulasi model hidrodinamik. Pemetaan genangan banjir berdasarkan simulasi model hidrodinamik dapat memberikan gambaran yang cukup baik mengenai daerah-daerah di sekitar sungai yang berpotensi tergenang banjir. Hasil pemetaan genangan banjir dalam penelitian ini sangat bermanfaat untuk upaya mitigasi bencana banjir pada daerah studi.

scholarly journals Mapeamento das áreas de armazenamento de água em depressão, usando dados LIDAR: Estudo de caso avenida Caxangá

2021 ◽  
Vol 14 (1) ◽  
pp. 058
Author(s):  
Camila Gardenea de Almeida Bandim ◽  
Josiclêda Domiciano Galvíncio
Keyword(s):  
Water Storage ◽  
Light Detection And Ranging ◽  
Lidar Data ◽  
Urban Drainage ◽  
Lidar System ◽  
Light Detection ◽  
Urban Flood ◽  
Digital Elevation ◽  
Elevation Model

O objetivo deste estudo consiste em avaliar as áreas inundáveis em Recife, com especial atenção à avenida Caxangá.  Iniciando uma análise sobre a drenagem convencional utilizando a tecnologia LIDAR (Light Detection And Ranging). Os dados empregados neste trabalho foram captados pelo sistema LIDAR e possuem 50 cm de resolução, sendo um total de 12 quadrículas xyz para a constituição do mosaico Modelo Digital de Elevação (MDE) da avenida Caxangá, com destaque para as quadrículas 81_50-05 e 81_60-05, partindo dessas foram geradas as direções e acúmulos de fluxo. Os resultados obtidos enfatizam a alta resolução através da nítida visualização de elementos naturais e artificiais, e ainda o nivelamento do terreno. Em seguida, observa-se o acúmulo de fluxo que exibe as diferentes direções e acúmulos do escoamento superficial, ainda se percebe a influência na drenagem urbana das construções antrópicas e da vegetação em locais pontuais da avenida Caxangá. Em conclusão os dados do sistema LIDAR responderam positivamente, tanto na captação na modelagem do terreno e topografia artificial, como também para as gerações de direções e acúmulo de fluxos apresentando maiores valores para áreas depressivas naturais e antropizadas. Sendo destaque neste estudo as áreas antropizadas por provocarem problemas de desastres naturais. Conclui-se que as áreas antropizadas exercem um importante papel na drenagem urbana.  Mapping water storage areas in depression, using LIDAR data: Caxangá Avenida case study A B S T R A C TThe objective of this study is to evaluate the floodable areas in Recife, with special attention to Avenida Caxangá. Starting an analysis on conventional drainage using LIDAR (Light Detection And Ranging) technology. The data used in this work were captured by the LIDAR system and have 50 cm of resolution, with a total of 12 xyz squares for the constitution of the Digital Elevation Model (MDE) mosaic on Avenida Caxangá, with emphasis on the squares 81_50-05 and 81_60 -05, from these directions and flow accumulations were generated. The results obtained emphasize the high resolution through the clear visualization of natural and artificial elements, as well as the leveling of the terrain. Then, there is the accumulation of flow that shows the different directions and accumulations of runoff, the influence on the urban drainage of anthropic buildings and vegetation in specific places on Avenida Caxangá is still perceived. In conclusion, the data from the LIDAR system responded positively, both in capturing terrain modeling and artificial topography, as well as for generations of directions and accumulation of flows, presenting higher values for natural and anthropized depressive areas. Being highlighted in this study the areas anthropized because they cause problems of natural disasters. It is concluded that anthropized areas play an important role in urban drainage.Keywords: Geoprocessing. Remote sensing. Urbanization. Urban flood. drainage

Pembuatan Digital Terrain Model (DTM) dari Light Detection and Ranging (LiDAR) menggunakan Metode Morfologi Sederhana

Teknik ◽  
2019 ◽  
Vol 40 (1) ◽  
pp. 40
Author(s):  
Ayu Nur Safi'i ◽  
Prayudha Hartanto
Keyword(s):  
Digital Terrain Model ◽  
Light Detection And Ranging ◽  
Surface Model ◽  
Light Detection ◽  
Terrain Model ◽  
Digital Terrain ◽  
Digital Elevation ◽  
Morphological Filtering ◽  
Elevation Model ◽  
Data Surface

Pembuatan Peta RBI skala 1:5.000 membutuhkan waktu yang lama, khususnya untuk pembuatan layer kontur. Layer kontur bisa didapatkan dari data hasil ekstraksi foto udara dan data Light Detection and Ranging (LIDAR). Sekarang ini, teknologi LiDAR lebih diandalkan untuk membuat Data Surface Model (DSM). Dari DSM dilakukan proses ekstrasi data untuk mendapatkan data Digital Terrain Model (DTM) atau Digital Elevation Model (DEM) yang prosesnya lebih cepat dan membutuhkan biaya yang relatif rendah. Metode filtering yang digunakan adalah metode Simple Morphological Filtering (SMRF) dengan memasukkan nilai parameter cell size, slope, windows, elevation threshold dan scalling factor. Hasil Cohen’s kappa rata-rata menunjukkan indikator DTM dalam kondisi baik, yang artinya dengan menggunakan metode SMRF, nilai kappa berada diantara 0,4-0,7. Smoothing filter dilakukan untuk menghilangkan sel kosong/ sel tanpa data. DTM yang dihasilkan dibandingkan dengan data validasi lapangan. Root Mean Square Error (RMSE) yang diperoleh berkisar antara 0,621-0,930 dan nilai Linear Error 90% (LE90) yang diperoleh berkisar antara 1,025-1,605. Hasil penelitian ini menunjukkan nilai RMSE dan LE90 tersebut memenuhi ketelitian vertikal peta skala 1: 5.000 dan masuk dalam kelas 2 dan 3 sesuai Peraturan BIG No.6 Tahun 2018 mengenai perubahan atas Perka BIG No.15 Tahun 2014 tentang Pedoman Teknis Ketelitian Peta Dasar

STUDY OF THE LANDSLIDE MORPHOLOGY BASED ON GNSS DATA AND AIRBORNE SOUNDING (ON THE EXAMPLE OF A SECTION OF THE PROTVA RIVER VALLEY)

2018 ◽  
Vol 12 (5-6) ◽  
pp. 50-57 ◽  
Author(s):  
I. S. Voskresensky ◽  
A. A. Suchilin ◽  
L. A. Ushakova ◽  
V. M. Shaforostov ◽  
A. L. Entin ◽  
...  
Keyword(s):  
Digital Elevation Model ◽  
Geodetic Network ◽  
Aerial Survey ◽  
River Valley ◽  
Ease Of Use ◽  
Digital Elevation ◽  
Loose Deposits ◽  
Positioning Method ◽  
Landslide Body ◽  
Elevation Model

To use unmanned aerial vehicles (UAVs) for obtaining digital elevation models (DEM) and digital terrain models (DTM) is currently actively practiced in scientific and practical purposes. This technology has many advantages: efficiency, ease of use, and the possibility of application on relatively small area. This allows us to perform qualitative and quantitative studies of the progress of dangerous relief-forming processes and to assess their consequences quickly. In this paper, we describe the process of obtaining a digital elevation model (DEM) of the relief of the slope located on the bank of the Protva River (Satino training site of the Faculty of Geography, Lomonosov Moscow State University). To obtain the digital elevation model, we created a temporary geodetic network. The coordinates of the points were measured by the satellite positioning method using a highprecision mobile complex. The aerial survey was carried out using an unmanned aerial vehicle from a low altitude (about 40–45 m). The processing of survey materials was performed via automatic photogrammetry (Structure-from-Motion method), and the digital elevation model of the landslide surface on the Protva River valley section was created. Remote sensing was supplemented by studying archival materials of aerial photography, as well as field survey conducted immediately after the landslide. The total amount of research results made it possible to establish the causes and character of the landslide process on the study site. According to the geomorphological conditions of formation, the landslide refers to a variety of landslideslides, which are formed when water is saturated with loose deposits. The landslide body was formed with the "collapse" of the blocks of turf and deluvial loams and their "destruction" as they shifted and accumulated at the foot of the slope.

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