[Remote Sensing of Transport Structures and Equipments]

By

CHAPTER 1 INTRODUCTION

The thesis will be based over the analysis of road monitoring for moisture through the help of remote sensing along with the observation of transport structures and equipment. The project uses a model based over “Geomorphologic Road Analysis Inventory Package”. (GRAIP), which shows the surface as a cloud, developed by Atema and Ulaby (1978) and modified by Prevot (1993) and Champion (2000). 

Background of the Study

In the last 5 years, the capabilities of earth-observing satellites and the technological tools to share and use satellite data have advanced sufficiently to consider using satellite imagery in conjunction with ground-based data for urban scale structural and equipment quality monitoring. Satellite data can add synoptic and geospatial information to ground-based structural and equipment quality data and modeling. An assessment of the integrated use of ground-based and satellite data for structural and equipment quality monitoring, including several short case studies, was conducted (Wald, 1999). Findings identified current U.S. satellites with potential for structural and equipment quality applications, with others available internationally and several more to be launched within the next 5 yr; several of these sensors are described in this paper as illustrations (Sifakis, 2000). However, use of these data for structural and equipment quality applications has been hindered by historical lack of collaboration between structural and equipment quality and satellite scientists, difficulty accessing and understanding new data, limited resources and agency priorities to develop new techniques, ill-defined needs, and poor understanding of the potential and limitations of the data. Specialization in organizations and funding sources has limited the re-sources for cross-disciplinary projects. To successfully use these new data sets requires increased collaboration between organizations, streamlined access to data, and resources for project implementation (Retalis, 1999).

Research objective

The aim of the research is to utilize remote sensing from environmental structures and equipment and the observation of moisture's effect over the defects of road structure

Research question

How can moisture have an effect or can modify the defects of road structures?

How effective can the remote sensing be for the observation of transport structures and road equipment ?

Hypothesis

Ho: Multispectral Image shows moisture can modify the defects of road structures

Ha: Multispectral Image shows moisture cannot modify the defects of road structures

CHAPTER 2 LITERATURE REVIEW

Network Analysis for Road Monitoring

Network analysis enables you to solve problems, such as finding the most efficient travel route, generating travel directions, finding the closest facility, defining service areas based on travel time. Network analysis is widely used in the study of social networks, but so far fairly little in the spatial analysis of cities. While the study of spatial networks goes back to Euler and his famous puzzle of Konigsberg's seven bridges in the 18th century, there were until recently no freely accessible tools available for city designers and planners to calculate computation-intensive spatial accessibility measures on dense networks of city streets and buildings. Network analysis remains one of the most significant and persistent research areas in geographic information science (GIS). This is followed by a concise but comprehensive review of ...