scholarly journals Remote Sensing Applications for Landslide Monitoring and Investigation in Western Canada

2021 ◽  
Vol 13 (3) ◽  
pp. 366
Author(s):  
Renato Macciotta ◽  
Michael T. Hendry
Keyword(s):  
Remote Sensing ◽  
Case Studies ◽  
Slope Failure ◽  
Landslide Monitoring ◽  
Western Canada ◽  
Extensive Literature ◽  
Sensing Applications ◽  
Remote Sensing Techniques ◽  
Definition Of ◽  
River Valleys

Transportation infrastructure in mountainous terrain and through river valleys is exposed to a variety of landslide phenomena. This is particularly the case for highway and railway corridors in Western Canada that connect towns and industries through prairie valleys and the Canadian cordillera. The fluidity of these corridors is important for the economy of the country and the safety of workers, and users of this infrastructure is paramount. Stabilization of all active slopes is financially challenging given the extensive area where landslides are a possibility, and monitoring and minimization of slope failure consequences becomes an attractive risk management strategy. In this regard, remote sensing techniques provide a means for enhancing the monitoring toolbox of the geotechnical engineer. This includes an improved identification of active landslides in large areas, robust complement to in-place instrumentation for enhanced landslide investigation, and an improved definition of landslide extents and deformation mechanisms. This paper builds upon the extensive literature on the application of remote sensing techniques and discusses practical insights gained from a suite of case studies from the authors’ experience in Western Canada. The review of the case studies presents a variety of landslide mechanisms and remote sensing technologies. The aim of the paper is to transfer some of the insights gained through these case studies to the reader.

scholarly journals RADAR REMOTE SENSING APPLICATIONS IN LANDSLIDE MONITORING WITH MULTI-PLATFORM INSAR OBSERVATIONS: A CASE STUDY FROM CHINA

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1939-1943
Author(s):  
T. Qu ◽  
Q. Xu ◽  
C. Liu ◽  
Z. Li ◽  
B. Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Deformation Monitoring ◽  
Landslide Monitoring ◽  
Radar Remote Sensing ◽  
Sensing Applications ◽  
Remote Sensing Applications ◽  
Spatio Temporal ◽  
Remote Sensing Techniques ◽  
Spaceborne Radar

<p><strong>Abstract.</strong> In China, landslides are widely distributed in the mountainous areas of western regions. Especially after the Wenchuan Earthquake in 2008, a large number of landslides were triggered. This work focuses on the deformation monitoring of Xishancun Landslide based on multi-platform spaceborne radar remote sensing techniques. The spatio-temporal deformation characteristics of landslide could be retrieved from time series InSAR processing with joint use of Sentinel-1 and TerraSAR-X datasets. Eventually, the deformation and evolution histories are cultivated thoroughly to realize an effective and comprehensive monitoring and research of Xishancun Landslide. This work concludes that spaceborne radar remote sensing applications could demonstrate great potentials to identify the spatio-temporal characteristics and investigate the kinematics for hazardous landslides, especially combined with in situ measurements and other remote sensing observations.</p>

scholarly journals Remote Sensing Applications for Planning Irrigation Management. The Use of SEBAL Methodology for Estimating Crop Evapotranspiration in Cyprus

2012 ◽  
Vol 9 (1) ◽  
pp. 17-21
Author(s):  
George Papadavid ◽  
Skevi Perdikou ◽  
Michalakis Hadjimitsis ◽  
Diofantos Hadjimitsis
Keyword(s):  
Remote Sensing ◽  
Water Allocation ◽  
Surface Energy Balance ◽  
Irrigation Management ◽  
Irrigation Scheduling ◽  
Severe Drought ◽  
Remotely Sensed Data ◽  
Sensing Applications ◽  
Remote Sensing Applications ◽  
Remote Sensing Techniques

Abstract Water allocation to crops has always been of great importance in the agricultural process. In this context, and under the current conditions, where Cyprus is facing a severe drought the last five years, the purpose of this study is basically to estimate the needed crop water requirements for supporting irrigation management and monitoring irrigation on a systematic basis for Cyprus using remote sensing techniques. The use of satellite images supported by ground measurements has provided quite accurate results. Intended purpose of this paper is to estimate the Evapotranspiration (ET) of specific crops which is the basis for irrigation scheduling and establish a procedure for monitoring and managing irrigation water over Cyprus, using remotely sensed data from Landsat TM/ ETM+ and a sound methodology used worldwide, the Surface Energy Balance Algorithm for Land (SEBAL).

Characteristics of cross-functional integration processes

2016 ◽  
Vol 27 (2) ◽  
pp. 570-594 ◽  
Author(s):  
Marcio Lopes Pimenta ◽  
Andrea Lago da Silva ◽  
Wendy L Tate
Keyword(s):  
Case Studies ◽  
Business Performance ◽  
Functional Integration ◽  
Extensive Literature ◽  
Content Type ◽  
Multinational Organizations ◽  
The Cross ◽  
Process Perspective ◽  
Definition Of ◽  
High Level

Purpose – The purpose of this paper is to characterize the cross-functional integration processes between marketing and logistics, while considering five basic elements: boundary spanning activities, integration factors, level of integration, formality/informality and impacts of integration. Design/methodology/approach – After an extensive literature review, five case studies were performed and in-depth interviews conducted. Both within-case and cross-case analysis was performed to better understand the cross-functional integration processes between marketing and logistics. Findings – A characterization of cross-functional integration in the form of a managerial framework was proposed. This framework presents the elements in a process view, instead of disconnected parts of the integration processes. The framework and process perspective helps to explain the integration process, the roles and impacts of integration within organizations, while considering cultural formality and informality. Research limitations/implications – Qualitative data collection and analysis methods cannot achieve amplitude with respect to sampling nor generalize results. In spite of this, the implications revealed by the propositions may be applied not only to Brazilian companies, but organizations in other countries as well, due to the high level of heterogeneity of the sample, and the fact that they represent multinational organizations. Therefore, further research using broad-based survey data could test the correlations between the elements of cross-functional integration processes. Practical implications – The identification of the cross-functional integration processes within organizations can help managers to facilitate the efforts of integration between marketing and logistics, reducing conflicts and improving business performance. Originality/value – Case studies focussing specifically on five Brazilian organizations help provide evidence for an initial definition of cross-functional integration processes by analyzing five key elements according to their characteristics and respective roles. This research provides a strong foundation for future broad-based survey research.

scholarly journals Soil moisture remote-sensing applications for identification of flood-prone areas along transport infrastructure

2018 ◽  
Vol 77 (14) ◽  
Author(s):  
Anna-Klara Ahlmer ◽  
Marco Cavalli ◽  
Klas Hansson ◽  
Alexander J. Koutsouris ◽  
Stefano Crema ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Urban Areas ◽  
Heavy Precipitation ◽  
Drainage Density ◽  
Transport Infrastructure ◽  
Flood Prediction ◽  
The Road ◽  
Sensing Applications ◽  
Remote Sensing Techniques

AbstractThe expected increase in precipitation and temperature in Scandinavia, and especially short-time heavy precipitation, will increase the frequency of flooding. Urban areas are the most vulnerable, and specifically, the road infrastructure. The accumulation of large volumes of water and sediments on road-stream intersections gets severe consequences for the road drainage structures. This study integrates the spatial and temporal soil moisture properties into the research about flood prediction methods by a case study of two areas in Sweden, Västra Götaland and Värmland, which was affected by severe flooding in August 2014. Soil moisture data are derived from remote-sensing techniques, with a focus on the soil moisture-specific satellites ASCAT and SMOS. Furthermore, several physical catchments descriptors (PCDs) are analyzed and the result shows that larger slopes and drainage density, in general, mean a higher risk of flooding. The precipitation is the same; however, it can be concluded that more precipitation in most cases gives higher soil moisture values. The lack, or the dimensioning, of road drainage structures seems to have a large impact on the flood risk as more sediment and water can be accumulated at the road-stream intersection. The results show that the method implementing soil moisture satellite data is promising for improving the reliability of flooding.

scholarly journals Hydrogeomorphology as a Tool in the Evolutionary Analysis of the Dynamic Landscape—Application to Larrodrigo, Salamanca, Spain

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1407
Author(s):  
Lorena Lombana ◽  
Antonio Martínez-Graña ◽  
Marco Criado ◽  
Carlos Palacios
Keyword(s):  
Remote Sensing ◽  
Management Strategies ◽  
Evolutionary Analysis ◽  
Surface Data ◽  
Dynamic Landscape ◽  
Density Surface ◽  
Fluvial Landscape ◽  
Spatio Temporal ◽  
Remote Sensing Techniques ◽  
Definition Of

Evolutionary analysis of the fluvial landscape provides relevant inputs for the environmental management of a territory, in such a way that the understanding of the dynamics of fluvial spaces becomes a preponderant factor in the definition of protection and management strategies. Although the development of geographic information systems is a step forward in the study of the landscape, it is necessary to establish methodological frameworks that make remote sensing techniques available at multiple spatio-temporal scales, especially in basins with high levels of intervention. In the present study, we develop a methodology for the analysis of the fluvial landscape development in the last century of a highly modified water body, through the detailed study of hydrogeomorphic elements, using remote sensing techniques including high-density surface data (LiDAR) and historical aerial imageries; when supported by fieldwork, these allow for the identification of the sequence of sedimentation–erosion zones, differentiating in detail the zones denominated as areas of current erosion, accretion zones, and historical erosion zones. An application of the methodology was carried out in the Larrodrigo stream, located in Salamanca, Spain.

Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications

2014 ◽  
Vol 02 (03) ◽  
pp. 86-102 ◽  
Author(s):  
Ken Whitehead ◽  
Chris H. Hugenholtz ◽  
Stephen Myshak ◽  
Owen Brown ◽  
Adam LeClair ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Case Studies ◽  
Feature Detection ◽  
Small Sample ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Agricultural Crop ◽  
Animal Feeding Operation ◽  
Aircraft Systems ◽  
Sensing Applications

Small unmanned aircraft systems (UASs) are often suited to applications where the cost, resolution, and (or) operational inflexibility of conventional remote sensing platforms is limiting. Remote sensing with small UASs is still relatively new, and there is limited understanding of how the data are acquired and used for scientific purposes and decision making. This paper provides practical guidance about the opportunities and limitations of small UAS-based remote sensing by highlighting a small sample of scientific and commercial case studies. Case studies span four themes: (i) mapping, which includes case studies to measure aggregate stockpile volumes and map river habitat; (ii) feature detection, which includes case studies on grassland image classification and detection of agricultural crop infection; (iii) wildlife and animal enumeration, with case studies describing the detection of fish concentrations during a major salmon spawning event, and cattle enumeration at a concentrated animal feeding operation; (iv) landscape dynamics with a case study of arctic glacier change. Collectively, these case studies only represent a fraction of possible remote sensing applications using small UASs, but they provide insight into potential challenges and outcomes, and help clarify the opportunities and limitations that UAS technology offers for remote sensing of the environment.

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