3D Modelling, GIS Mapping and Planning for Pipelines

2021 ◽  
Author(s):  
Ravindra Kumar Singh
Keyword(s):  
Flash Flood ◽  
Satellite Image ◽  
Weather Condition ◽  
Route Planning ◽  
Modern Technology ◽  
3D Modelling ◽  
Gis Mapping ◽  
Sloping Ground ◽  
Digital Elevation ◽  
Elevation Model

Abstract Govt. of India in association with Oil & Gas Sector industry exclusively developing the pipeline network in various part of the country to cater the requirement of demand centers /industries, as India is considered as developing country and having tremendous opportunities for the pipeline transportation sector. There are different type of challenges in route planning and finalization of optimum, safe and constructible pipeline route which includes challenges like rugged terrain, landslide, steep sloping ground, extreme weather condition like flash flood, snow fall, intense summer, environmental sensitivity, major development etc., wherein normal survey procedure does not applicable. Therefore, it is recommended to use latest modern technology of survey i.e. 3D Modelling Survey using 0.3m/0.4m High Resolution Stereo Satellite Image followed by developing up-to-date GIS Base map using Digital Elevation Model (DEM) and GIS Database with the help of rapid field validation and ortho-rectifications through photogrammetry process.

DEM Generation and Accuracy Assessment Using ZY-3 Stereo Image Pairs

2015 ◽  
Vol 738-739 ◽  
pp. 613-617 ◽  
Author(s):  
Guo Yin Cai ◽  
Jie Huan ◽  
Yang Liu ◽  
Ming Yi Du
Keyword(s):  
3D Visualization ◽  
Accuracy Assessment ◽  
Satellite Image ◽  
Stereo Image ◽  
Stereo Pair ◽  
Topographic Analysis ◽  
Digital Elevation ◽  
Data Source ◽  
Image Pairs ◽  
Elevation Model

Digital Elevation Model (DEM) is an important data source for topographic analysis, 3D visualization and satellite image ortho-rectification. This paper focused on the DEM extraction and accuracy assessment from ZY-3 satellite with 3 stereo images. DEM was extracted using three different stereo pair image groups composed of forward and nadir view images, nadir and backward view images as well as forward and backward view images. The accuracy of the DEM was indicated by root-mean-square error (RMSE) values. The results showed that the stereo pair of nadir and forward view images achieved the best accuracy, while the pair of forward and backward view images obtained the worst. This might be useful for the selection of the stereo pair images for extracting DEM using ZY-3 satellite images.

scholarly journals DEM Construction using DInSAR

2014 ◽  
Vol XL-8 ◽  
pp. 817-820 ◽  
Author(s):  
R. Mangla ◽  
S. Kumar
Keyword(s):  
Flash Flood ◽  
3D Visualization ◽  
Sar Interferometry ◽  
Atmospheric Effects ◽  
Alos Palsar ◽  
Digital Elevation ◽  
Temporal Decorrelation ◽  
Elevation Model ◽  
Differential Sar Interferometry ◽  
Differential Interferogram

A digital elevation model (DEM) is a 3D visualization of a terrain surface. It can be used in various analytical studies such as topographic feature extraction, hydrology, geomorphology and landslides analysis etc. Uttrakhand region is affected with landslides, earthquake and flash flood phenomenon. Hence this study was focused on DEM generation using Differential SAR Interferometry (DINSAR) on ALOS PALSAR dataset. Two Pass DINSAR technique involves one interferometric pair in addition with an external DEM. The external DEM was used as a reference to reduce topographic errors. The data processing steps were image co-registration, interferogram generation, interferogram flattening (Differential Interferogram), interferogram filtering, coherence map, phase unwrapping, orbital refinement and re-flattening and DEM generation. Interferogram fringes observed in forest areas were due to temporal decorrelation and the fringes in mountain regions were obtained due to topography changes (may be due to landslides in rainy season). The range of elevation in generated DEM were 132 m to 2823 m and Root Mean Square Error (RMSE) error was 36.765159 m. The generated DEM was compared with ASTER DEM and variation in height was analyzed. Atmospheric effects were not removed due to geometrical and temporal decorrelation which affect the accuracy.

scholarly journals Topography and structural changes of Anak Krakatau due to the December 2018 catastrophic events

2020 ◽  
Vol 52 (3) ◽  
pp. 402
Author(s):  
Herlan Darmawan ◽  
Bachtiar Wahyu Mutaqin ◽  
Wahyudi Wahyudi ◽  
Agung Harijoko ◽  
Haryo Edi Wibowo ◽  
...  
Keyword(s):  
High Resolution ◽  
Structural Changes ◽  
Structural Investigation ◽  
Satellite Image ◽  
Volcanic Edifice ◽  
Volcanic Cone ◽  
Flank Collapse ◽  
Digital Elevation ◽  
Before And After ◽  
Elevation Model

The flank collapse of Anak Krakatau on 22 December 2018 caused massive topography losses that generated a devastating tsunami in Sunda Strait, which then followed by eruptions that progressively changed the topography and structure of Anak Krakatau. Here, we investigated topography and structural changes due to the December 2018 flank collapse and the following eruptions by using high resolution Digital Elevation Model (DEM) before and after the events and sentinel 1A satellite image post-flank collapsed. Results show that the volumetric losses due to the 22 December 2018 flank collapsed is ~127 x 106 m3, while the following eruptions caused ~0,8 x 106 m3 losses. Structural investigation suggests two structures that may act as failure planes. The first structure is located at the western part of volcanic edifice that associated with hydrothermal alteration and the second failure is an old crater rim which delineated an actively deform volcanic cone.

scholarly journals Flooding Model as the Analysis of the Sea Level Increase as a Result of Global Warming in Coastal Area in Lampung

2017 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
Agung Kurniawan
Keyword(s):  
Global Warming ◽  
Sea Level ◽  
Shuttle Radar Topography Mission ◽  
Sea Surface ◽  
Gis Mapping ◽  
Flood Inundation ◽  
Mapping Software ◽  
Level Increase ◽  
Digital Elevation ◽  
Elevation Model

The melting of ice layers, as a direct impact on global warming, is indicated from a lesser thickness of ice layers is specifically causing an increase on the sea level. Lampung, as a province that has an ecosistem of regional coast, can be estimated to submerge. Flood modelling can be done to know the estimated flood range. The model of the flooded region is taken from Shuttle Radar Topography Mission(SRTM) data, which is nomalized to get the visualisation of Digital Elevation Model (DEM). The purpose of this research is to know the estimated region of provincial coast of Lampung that is going to be flooded because of the raising of sea surface. This research uses flood inundation technique that uses one of the GIS mapping software. The result can be used as consideration to achieve policy in the building of regional coast. The regions that are flooded based on the scenario of the raising of two and three meter surface sea level are East Lampung Regency, West Lampung Regency, South Lampung Regency, Tanggamus Regency, Pesawaran Regency, and Bandar Lampung.

scholarly journals Emphasizing Grid Feature as Flood Zonal Identification to Support Flood Relief Mechanism

2018 ◽  
Vol 7 (2.29) ◽  
pp. 905
Author(s):  
Muhammad Shaheed S ◽  
Zuhairi A
Keyword(s):  
Flood Management ◽  
Gis Mapping ◽  
Color Code ◽  
Flood Prediction ◽  
Simulation Process ◽  
Digital Elevation ◽  
Water Layers ◽  
Different Color ◽  
Elevation Model ◽  
Vertical Elevation

Grid in Geographic Information System [GIS] mapping is used to determine specific location. This is a study to highlight the utilization of square grids network with flood forecast map modelling for regional identification of inundated zones focusing on Pekan sub-district. Satellite information, raster and digital elevation model [DEM] are used to produce a flood prediction map model to simulate inundation of the study area. Vertical elevation has been converted to match between WMGEOID04 with EGM96 ellipsoidal height for the multiple offsets of water layers in inundation simulation process because geoid and mean seal level values are set to be the same. Inundated zones are populated based on selected readings of Sungai Pahang gauging station located at Department of Irrigation and Drainage [DID] Pulau Jawa station, Bandar Pekan [Station ID: 3434401]. Flood spreads are monitored based on the 1.0m layer offsets starting from 2.5m [alert level] until 5.5m. Finally, square grids tessellation of the whole area within the boundary is generated and the affected zones are projected in different color code to indicate danger zones. The graphical output that are produced are able to be used to assess the rate of accessibility, habitability, and affected infrastructures which have the potential to act as flood relief center. Integrating these information with disaster web provider like ‘InfoBanjir’ [DID] and ‘disaster portal’ [NADMA] should be emphasized to ensure systematic flood management in the future. 

scholarly journals DIGITAL ELEVATION MODEL FROM NON-METRIC CAMERA IN UAS COMPARED WITH LIDAR TECHNOLOGY

2015 ◽  
Vol XL-1/W4 ◽  
pp. 411-414
Author(s):  
O. M. Dayamit ◽  
M. F. Pedro ◽  
R. R. Ernesto ◽  
B. L. Fernando
Keyword(s):  
Digital Elevation Model ◽  
Digital Camera ◽  
Accurate Method ◽  
Analysis Data ◽  
Modern Technology ◽  
Geographic Space ◽  
Digital Elevation ◽  
Dem Accuracy ◽  
Elevation Model ◽  
Short Time

Digital Elevation Model (DEM) data as a representation of surface topography is highly demanded for use in spatial analysis and modelling. Aimed to that issue many methods of acquisition data and process it are developed, from traditional surveying until modern technology like LIDAR. On the other hands, in a past four year the development of Unamend Aerial System (UAS) aimed to Geomatic bring us the possibility to acquire data about surface by non-metric digital camera on board in a short time with good quality for some analysis. Data collectors have attracted tremendous attention on UAS due to possibility of the determination of volume changes over time, monitoring of the breakwaters, hydrological modelling including flood simulation, drainage networks, among others whose support in DEM for proper analysis. The DEM quality is considered as a combination of DEM accuracy and DEM suitability so; this paper is aimed to analyse the quality of the DEM from non-metric digital camera on UAS compared with a DEM from LIDAR corresponding to same geographic space covering 4 km2 in Artemisa province, Cuba. This area is in a frame of urban planning whose need to know the topographic characteristics in order to analyse hydrology behaviour and decide the best place for make roads, building and so on. Base on LIDAR technology is still more accurate method, it offer us a pattern for test DEM from non-metric digital camera on UAS, whose are much more flexible and bring a solution for many applications whose needs DEM of detail.

scholarly journals Geo-spatial Analysis of Farmland Affected by 2020 Flooding of River Rima, Northwestern Nigeria

2021 ◽  
pp. 20-27
Author(s):  
Abdullahi Muktar ◽  
Sadiq A. Yelwa ◽  
Muhammad Tayyib Bello ◽  
Wali Elekwachi
Keyword(s):  
Satellite Image ◽  
Shuttle Radar Topography Mission ◽  
Policy Makers ◽  
Professional Advice ◽  
Maximum Water Level ◽  
Digital Elevation ◽  
Farm Produce ◽  
Terra Modis ◽  
Elevation Model ◽  
The Impact

The flooding of River Rima is an annual issue affecting farmland located within the floodplains. This phenomena causes loss of farm produce and mass destruction of buildings, including roads and bridges in the area. Estimating the farmland affected by the flood will help the policy makers in decision making on how to mitigate the impact of flooding in the affected areas. The Terra/MODIS satellite image with 7-2-1 bands combination was used to classify the image into four landcover types. The area covered by flood was selected to calculate the flood area using Image Calculator module on QGIS software. The class of water was imposed on Digital Elevation Model that was obtained from Environmental Monitoring Satellite called The Shuttle Radar Topography Mission (SRTM). The result shows that River Rima flood occupies about 17,517 km2, equivalent to 1.7 million hectares of farmland that is below 230 meters (ASL). It was recommended that the local authorities and decision makers may use the flood map to showing flood risk zones so as to deter construction beyond the buffer. Farmers should adhere strictly to NiMet’s advice based on flood predictions. The civil engineers should also take note of the maximum water level during flooding so as to apply professional advice when constructing roads and bridges in the area.

scholarly journals Modelling of Solar Spectral Radiation in Penang Island on a Digital Elevation Model

2019 ◽  
Vol 7 (4.14) ◽  
pp. 461
Author(s):  
Eng Choon Yeap ◽  
Hwee San Lim ◽  
Zubir Mat Jafri
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Digital Elevation Model ◽  
Solar Irradiance ◽  
Satellite Image ◽  
Atmospheric Effects ◽  
Spectral Radiation ◽  
Digital Elevation ◽  
Elevation Model ◽  
Spectral Solar Irradiance

Interest has been increasingly focused on the studies of solar radiation across the globe ever since people are more concern about energy conservation. Due to the increment of terrestrial application of solar energy, the scientific interest on solar distribution has expanded from broadband solar energy to its spectral distribution. Measurement of solar radiation with its spectral profile provides knowledge for making important decisions involving resources and energy, agriculture and climate. In remote sensing, the measurement of spectral solar radiation is important for sensor calibration and image enhancement to extract the most information out of a satellite image. The spectral radiation can be measured using spectral radiometer specifically design for measuring solar radiation; however such instruments are expensive and only provide point data which is very limited in most studies. This study aims to provide a rigorous spectral radiation model that predict the spectral solar irradiance in temporal resolution of every minute with spectral range from 350nm to 2200nm under cloudless condition. The parameters used in this model include the distance between sun and earth, time, coordinate, atmospheric interference and terrain effect. Atmospheric sounding data was used in this study to provide the necessary atmospheric parameter in the simulation of solar propagation through the atmosphere. The atmospheric effects considered in this study include Rayleigh scattering, aerosol attenuation and the absorption of water vapor, ozone and uniformly mixed gas. The simulation results were projected onto a digital elevation model to further calculate the effect introduced by the topographic variation and to get a three dimensional solar spectral radiation. The result obtained from this study is compared with spectral solar irradiance data collected during the month of June and July, 2018 with root mean square deviation of 9 watt per meter square at the wavelength of 350nm to 2200nm.  

HYDROGEOMORPHOLOGICAL MODELING OF KHOR OMAR OMDURMAN - SUDAN BY USING GIS

2020 ◽  
pp. 20-36
Author(s):  
Omar Abd Almajd Sayd AHMMAD ◽  
Alimam omar ALİMAM AİL ◽  
Hussein Salem Hussein SALEM ◽  
Muzamil Elrais Ahmed ALI
Keyword(s):  
Meteorological Data ◽  
Satellite Image ◽  
Curve Number ◽  
Digital Data ◽  
Geographical Information ◽  
Hydrologic Modelling ◽  
Model Soil ◽  
Digital Elevation ◽  
Elevation Model

e study addressed the hydro geomorphological modeling of koher Omar Oum Dorman Area by analyzing many digital data, including satellite Image, and Digital Elevation Model, soil and meteorological data, by using ARC.GIS -WMS - Hydrologic Engineering Center – Hydrologic Modelling System, (HEC-HMS). in order to analyzing geomorphological characteristics and hydro geomorphological, estimation of the amount of runoff and determination of affected areas through Hydro morphometric measurements, determination of soil varieties and land cover to extract Curve number (CN) the study found that the annual surface runoff volume is 21830.5M3 – 33938.1M3 areas affected by runoff are located to the east and south-east of the basin of koher Omar, and the study Reflced Meany recommendetoin, the most important of which is the utilization of water in development processes and the application of Geographical information system in hydro geomorphological studies. Key words: : GIS – RS - Rain off - WMS.

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