Implementation of Remote Sensing and Mathematical Modeling for Study of Risk Assessment to Linear Engineering Structures Due to Thermokarst Processes

2014 ◽  
pp. 267-270 ◽  
Author(s):  
Kapralova Veronika
Keyword(s):  
Mathematical Modeling ◽  
Remote Sensing ◽  
Risk Assessment ◽  
Engineering Structures

On the displacements of the contours of the optic-electronic space images. Mathematical modeling of displacement

2017 ◽  
Vol 992 (4) ◽  
pp. 32-38 ◽  
Author(s):  
E.G. Voronin
Keyword(s):  
Mathematical Modeling ◽  
Remote Sensing ◽  
Mathematical Model ◽  
Point Of View ◽  
Design Features ◽  
Space Images ◽  
Electronic Imaging ◽  
Measuring Accuracy ◽  
Physical Laws

The article opens a cycle of three consecutive publications dedicated to the phenomenon of the displacement of the same points in overlapping scans obtained adjacent CCD matrices with opto-electronic imagery. This phenomenon was noticed by other authors, but the proposed explanation for the origin of displacements and the resulting estimates are insufficient, and developed their solutions seem controversial from the point of view of recovery of the measuring accuracy of opticalelectronic space images, determined by the physical laws of their formation. In the first article the mathematical modeling of the expected displacements based on the design features of a scanning opto-electronic imaging equipment. It is shown that actual bias cannot be forecast, because they include additional terms, which may be gross, systematic and random values. The proposed algorithm for computing the most probable values of the additional displacement and ways to address some of the systematic components of these displacements in a mathematical model of optical-electronic remote sensing.

Maritime built heritage and marine wildlife: Remote sensing as a tool to identify and prioritise integrated conservation in coastal environments

2021 ◽  
Author(s):  
Tim Baxter ◽  
Martin Coombes ◽  
Heather Viles
Keyword(s):  
Remote Sensing ◽  
Structural Information ◽  
Regional Scale ◽  
Initial Assessment ◽  
Marine Biodiversity ◽  
Engineering Structures ◽  
Built Heritage ◽  
Ecological Importance ◽  
Integrated Conservation ◽  
Marine Wildlife

<p>Maritime built heritage is threatened by natural hazards and human activities around the world. Likewise, marine wildlife is increasingly threatened by the effects of climate change and human development. Due to their age and traditional construction, maritime built heritage (e.g. historic harbours) may provide unique habitats for diverse assemblages of marine wildlife. Yet, as aspects of built heritage are often missing in assessments of marine infrastructure, identifying which heritage assets have the potential to provide the greatest ecological benefits remains a challenge. An improved understanding of the ecological importance of maritime built heritage can enhance arguments for its continued protection, maintenance and repair. At the same time, this may present new opportunities to conserve important and largely unidentified hotspots of marine biodiversity.</p><p>Using preliminary results from the Isles of Scilly, UK, this study presents a novel method for quantifying the full extent of marine engineering structures (including heritage assets) at a regional scale, and for identifying priority structures for joint biodiversity and heritage conservation.</p><p>Remote sensing data were considered alongside historic environment data and records of modern coastal defences in a rapid desk-based assessment to create a complete inventory of marine structures along the entire coastline of the Isles of Scilly. In total, 68 structures were recorded (6,180 m in length), with over half registered as heritage assets. LiDAR and aerial photography were used to determine the site characteristics of each structure (e.g. shore position). This allowed for an initial assessment of the potential ecological importance of these structures when considered alongside structural information, including building age and material. By evaluating the ecological potential and heritage value of each structure using a novel scoring system, priorities for conservation and other managed interventions are identified. This includes listed buildings and scheduled monuments that due to their construction features and shore position are most likely to support diverse marine assemblages.</p><p>Combined ecological-heritage evaluations incorporating remote sensing datasets allow for the identification of those structures with the greatest potential for the integrated conservation of built heritage and marine wildlife. Research is now needed to develop this method further, ground-truth its outputs, and test its application in other geographical locations and at varying scales.</p>

scholarly journals Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS

2017 ◽  
Vol 8 (2) ◽  
pp. 1080-1102 ◽  
Author(s):  
Hossein Mojaddadi ◽  
Biswajeet Pradhan ◽  
Haleh Nampak ◽  
Noordin Ahmad ◽  
Abdul Halim bin Ghazali
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Risk Assessment ◽  
Flood Risk ◽  
Remote Sensing Data ◽  
Flood Risk Assessment ◽  
Sensing Data ◽  
Ensemble Machine Learning

Yes, We CAtaN Understand Probability

2021 ◽  
Vol 114 (2) ◽  
pp. 132-138
Author(s):  
Susanna Molitoris-Miller ◽  
Amy Hillen
Keyword(s):  
Mathematical Modeling ◽  
Risk Assessment ◽  
Board Game ◽  
Game Play ◽  
Mathematical Concepts ◽  
Entry Points

This article presents ways to explore mathematical concepts using Catan, a popular board game. After a brief overview of game play, we explore considerations with many potential entry points for mathematical modeling, such as which resource is the best, which resources will be rare or plentiful, where to build, and risk assessment.

GIS and Remote Sensing in Environmental Risk Assessment

2011 ◽  
pp. 840-847 ◽  
Author(s):  
X. Mara Chen
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Environmental Protection ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Global Economy ◽  
Environmental Risks ◽  
Human Environment ◽  
Gis And Remote Sensing ◽  
Risk Assessment And Management

The existence, well-being, and sustainable development of the global economy hinges upon the state of the earth’s environment. Effective environmental risk assessment and management issues have become increasingly important. With the ever-growing global population and expanding economic development, we consume more natural resources, produce more waste, and develop more areas into the regions that are prone to environmental risks. Although humans have interacted with the environment for thousands of years, environmental risk assessment and management is only a recent research undertaking. As the industrialization has made the human-environment interactions more dynamic and complex, the increased environmental risks have propelled and compelled people to use technologies for identifying and solving problems. The earliest global environmental applications of remote sensing and GIS technologies began in the 1960s, particularly marked by the successful launch of the TIROS- 1, the first meteorological satellite, and the development of computer-based geographic information systems (GIS). The story Silent Spring (Carson, 1962) awoke the public’s environmental consciousness and promoted the public demands for governments to set up environmental protection policies and research priorities. The birth of the U.S. Environmental Protection Agency (EPA) in 1970 set the stage for modern environment risk assessment. The launch of the LANDSAT program in 1972 created a new way for monitoring global land use and land cover changes (Foley, 1999; Goward, Masek, Williams, Irons, & Thompson, 2001).

Sign in / Sign up

Export Citation Format

Share Document