scholarly journals GBIR SLC and interferometric simulation of Blue 05s Dam, Missouri

2017 ◽  
Author(s):  
◽  
Ahmed Ibrahim Mohammed
Keyword(s):  
Large Scale ◽  
Surface Deformation ◽  
Low Noise ◽  
Small Scale ◽  
Dual Frequency ◽  
University Of Missouri ◽  
Digital Elevation ◽  
Elevation Model ◽  
Fast Acting ◽  
Aperture Radar

The limitations in current commercial satellite-based Synthetic Aperture RADAR (SAR) datasets are being partially emphasized by a specialized (dual-frequency, polarimetric, and interferometric) ground-based real-aperture RADAR (GBIR) instrument developed by a team from University of Missouri (MU) in conjunction with GAMMA Remote Sensing. This MU GBIR possesses high temporal and spatial resolution, which make it well suited for measuring small and relatively fast-acting surface deformation. Simulation of single look complex (SLC) imagery and interferograms of a study site allows one to test and evaluate new methods or techniques under known conditions. A simulation of MU GBIR SLCs and interferograms is investigated in this document. The simulation accounts for the fluctuating, non-fluctuating, electromagnetic shadowing, system phase noise, and other noise components. Given a digital elevation model (DEM) and a MU GBIR position, the simulated imagery can be generated. For this study, we investigated several conditions of our Blue 05s, Missouri study site. Qualitatively the measurement SLC imagery compares well with the large-scale trends of the simulated SLCs imagery. Simulated interferograms for various refractivity change cases and noise scenarios (i.e. noisy and low noise) were explored. The noisy-scenario large-scale phase trends are similar to the low-noise scenarios. There are some small-scale differences in the phase scenarios, which are mainly associated with vegetative land cover. The phase fringes are preserved well on the dam structure and other persistent like structures.

scholarly journals Fusion Analysis of Optical Satellite Images and Digital Elevation Model for Quantifying Volume in Debris Flow Disaster

2019 ◽  
Vol 11 (9) ◽  
pp. 1096 ◽  
Author(s):  
Hiroyuki Miura
Keyword(s):  
Debris Flow ◽  
Digital Elevation Model ◽  
Large Scale ◽  
Satellite Images ◽  
Erosion Depth ◽  
Digital Elevation ◽  
Elevation Model ◽  
Fusion Analysis ◽  
Optical Satellite Images ◽  
Debris Flow Disaster

Rapid identification of affected areas and volumes in a large-scale debris flow disaster is important for early-stage recovery and debris management planning. This study introduces a methodology for fusion analysis of optical satellite images and digital elevation model (DEM) for simplified quantification of volumes in a debris flow event. The LiDAR data, the pre- and post-event Sentinel-2 images and the pre-event DEM in Hiroshima, Japan affected by the debris flow disaster on July 2018 are analyzed in this study. Erosion depth by the debris flows is empirically modeled from the pre- and post-event LiDAR-derived DEMs. Erosion areas are detected from the change detection of the satellite images and the DEM-based debris flow propagation analysis by providing predefined sources. The volumes and their pattern are estimated from the detected erosion areas by multiplying the empirical erosion depth. The result of the volume estimations show good agreement with the LiDAR-derived volumes.

A new method for supporting interpretation of paleochannels in a large scale — Detrended Digital Elevation Model Interpretation

Geomorphology ◽  
2020 ◽  
Vol 369 ◽  
pp. 107374
Author(s):  
Shuyan Zhang ◽  
Yong Ma ◽  
Fu Chen ◽  
Jianbo Liu ◽  
Fulong Chen ◽  
...  
Keyword(s):  
Digital Elevation Model ◽  
Large Scale ◽  
New Method ◽  
Model Interpretation ◽  
Digital Elevation ◽  
Elevation Model

scholarly journals A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images

2020 ◽  
Vol 12 (3) ◽  
pp. 561 ◽  
Author(s):  
Bruno Adriano ◽  
Naoto Yokoya ◽  
Hiroyuki Miura ◽  
Masashi Matsuoka ◽  
Shunichi Koshimura
Keyword(s):  
Disaster Response ◽  
Large Scale ◽  
Reference Data ◽  
Mass Movement ◽  
Recovery Planning ◽  
Additional Information ◽  
Digital Elevation ◽  
Before And After ◽  
Intensity Images ◽  
Elevation Model

The rapid and accurate mapping of large-scale landslides and other mass movement disasters is crucial for prompt disaster response efforts and immediate recovery planning. As such, remote sensing information, especially from synthetic aperture radar (SAR) sensors, has significant advantages over cloud-covered optical imagery and conventional field survey campaigns. In this work, we introduced an integrated pixel-object image analysis framework for landslide recognition using SAR data. The robustness of our proposed methodology was demonstrated by mapping two different source-induced landslide events, namely, the debris flows following the torrential rainfall that fell over Hiroshima, Japan, in early July 2018 and the coseismic landslide that followed the 2018 Mw6.7 Hokkaido earthquake. For both events, only a pair of SAR images acquired before and after each disaster by the Advanced Land Observing Satellite-2 (ALOS-2) was used. Additional information, such as digital elevation model (DEM) and land cover information, was employed only to constrain the damage detected in the affected areas. We verified the accuracy of our method by comparing it with the available reference data. The detection results showed an acceptable correlation with the reference data in terms of the locations of damage. Numerical evaluations indicated that our methodology could detect landslides with an accuracy exceeding 80%. In addition, the kappa coefficients for the Hiroshima and Hokkaido events were 0.30 and 0.47, respectively.

scholarly journals Dual-Frequency Airborne SAR for Large Scale Mapping of Tidal Flats

2020 ◽  
Vol 12 (11) ◽  
pp. 1827 ◽  
Author(s):  
Muriel Pinheiro ◽  
Joel Amao-Oliva ◽  
Rolf Scheiber ◽  
Marc Jaeger ◽  
Ralf Horn ◽  
...  
Keyword(s):  
Large Scale ◽  
Tidal Flats ◽  
Dual Frequency ◽  
Digital Elevation ◽  
First Results ◽  
Data Source ◽  
Airborne Sar ◽  
Flooded Areas ◽  
Sea Coast ◽  
North Sea Coast

Digital elevation models of tidal flats are a most valuable data source for the water management of coastal areas and need frequent updates to account for changes in sedimentation, erosion and identification of damages in building infrastructure. This paper presents the conceptual design, the processing methodology and first results of an airborne SAR campaign conducted in July 2019 at the German North Sea coast, showing the potential for accurate monitoring of height changes at decimeter level in mudflat areas, as well as indication of vegetation cover and water flooded areas.

Food Submergence Calculation and Analysis Using Digital Elevation Model and Geographical Information System

2014 ◽  
Vol 571-572 ◽  
pp. 792-795
Author(s):  
Xiao Qing Zhang ◽  
Kun Hua Wu
Keyword(s):  
Information System ◽  
Digital Elevation Model ◽  
Flood Control ◽  
Large Scale ◽  
Geographical Information ◽  
Economic Losses ◽  
Model Data ◽  
Digital Elevation ◽  
Elevation Model ◽  
Digital Elevation Model Data

Floods usually cause large-scale loss of human life and wide spread damage to properties. Determining flood zone is the core of flood damage assessment and flood control decision. The aim of this paper is to delineate the flood inundation area and estimate economic losses arising from flood using the digital elevation model data and geographic information system techniques. Flood extent estimation showed that digital elevation model data is very precious to model inundation, however, in order to be spatially explicit flood model, high resolution DEM is necessary. Finally, Analyses for the submergence area calculation accuracy.

scholarly journals Application of Surface Deformation Monitoring in Mining Area by the Fusion of InSAR and Laser Scan Data

2015 ◽  
Vol XL-7/W4 ◽  
pp. 41-44
Author(s):  
J. L. Huang ◽  
K. Z. Deng ◽  
H. D. Fan ◽  
J. K. Yang
Keyword(s):  
Surface Deformation ◽  
Mining Area ◽  
Deformation Monitoring ◽  
Line Of Sight ◽  
Underground Coal Mining ◽  
Synthetic Aperture Radar Interferometry ◽  
Subsidence Basin ◽  
Digital Elevation ◽  
Scan Data ◽  
Elevation Model

Differential Synthetic Aperture Radar Interferometry (D-InSAR) as a new earth observation technique has become an important tool for monitoring ground movements caused by underground coal mining. However, the low resolution and accuracy of Digital Elevation Model (DEM) cause more error value of InSAR line-of-sight(LOS) surface deformation measurement. In this paper, a couple of Radarsat-2 and a pair of TerraSAR with SRTM, GDEM and LiDAR DEM are processed respectively to reveal the subsidence basin and the results have been compared each other. It illustrate that the accuracy of D-InSAR results been better improved by the high accuracy and resolution DEM.

scholarly journals Heterogeneidade da Rugosidade em Terrenos Complexos e Implicações para o Aproveitamento Eólico (Heterogeneity of Roughness in Complex Terrains and Implications for Wind Power)

2016 ◽  
Vol 9 (2) ◽  
pp. 546
Author(s):  
Thiago Lobão Cordeiro ◽  
Arcilan Trevenzoli Assireu ◽  
Ramon Moraes Freitas ◽  
Nandamudi Lankalapalli Vijaykumar ◽  
Reinaldo Roberto Rosa
Keyword(s):  
Wind Power ◽  
Roughness Length ◽  
Small Scale ◽  
Measuring Point ◽  
Wind Pattern ◽  
Displacement Height ◽  
Digital Elevation ◽  
Wind Profiles ◽  
Elevation Model ◽  
Plane Displacement

A demanda para a produção de energia renovável e de baixo impacto ambiental cresce a cada ano e, com isso, há também o aumento do interesse em turbinas eólicas de pequena escala a serem instaladas em relevos complexos que inclui áreas onde montanhas afetam o padrão de vento, como em grandes sistemas aquáticos localizados em regiões de planaltos. A influência da complexidade do relevo e da intensidade de turbulência foi investigada pela aplicação do método de Análise por Padrões de Gradientes em um modelo digital de elevação e uma série de dados histórica da direção e velocidade do vento. Os resultados indicaram que os padrões de fluxos são extremamente complexos e variam significativamente dependendo da direção do fluxo em sentido contrário. Esta variabilidade também torna difícil definir um plano zero de deslocamento ou um comprimento de rugosidade para um determinado ponto de medição, o que compromete a utilização do modelo de extrapolação vertical do vento baseado no coeficiente de rugosidade fixo.      ABSTRACT As the demand for environmentally friendly energy production grows, there is also an increased interest in small scale wind turbines located in more complex relief that includes areas where mountains affect the wind pattern, as in large inland aquatic system localized close to hills. Influence of complex relief on the turbulence intensity was investigated by means of time series of the wind direction and speed and digital elevation model. The results indicated that the flow patterns are highly complex and vary significantly depending on the direction of the oncoming flow. This variability also makes it difficult to define a general zero plane displacement height or a roughness length for a certain measuring point. The resulting consequence for the usual one-dimensional wind profiles models are then pointed out. Keywords: GPA. Roughness of the relief. Wind power.   

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