2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

Timely and accurate change detection of Earth's surface features is extremely important for understanding relationships and interactions between human and natural phenomena in order to promote better decision making. Remote sensing data are primary sources extensively used for change detection in recent decades. Many change detection techniques have been developed. This paper summarizes and reviews these techniques. Previous literature has shown that image differencing, principal component analysis and post-classification comparison are the most common methods used for change detection. In recent years, spectral mixture analysis, artificial neural networks and integration of geographical information system and remote sensing data have become important techniques for change detection applications. Different change detection algorithms have their own merits and no single approach is optimal and applicable to all cases. In practice, different algorithms are often compared to find the best change detection results for a specific application. Research of change detection techniques is still an active topic and new techniques are needed to effectively use the increasingly diverse and complex remotely sensed data available or projected to be soon available from satellite and airborne sensors. This paper is a comprehensive exploration of all the major change detection approaches implemented as found in the literature.

/pdf/change-detection-techniques-4g34rgajio.pdf

Change detection techniques

http://sylvain-delzon.com/wp-content/uploads/2013/02/Lindner-et-al-2010-FEM.pdf

Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems

Remotely sensed imagery is ideally used to monitor and detect land cover changes that occur frequently in urban and peri-urban areas as a consequence of incessant urbanization. It is a lengthy process to convert satellite imagery into land cover map using the existing methods of manual interpretation and parametric image classification digitally. In this paper we propose a new method based on Normalized Difference Built-up Index (NDBI) to automate the process of mapping built-up areas. It takes advantage of the unique spectral response of built-up areas and other land covers. Built-up areas are effectively mapped through arithmetic manipulation of re-coded Normalized Difference Vegetation Index (NDVI) and NDBI images derived from TM imagery. The devised NDBI method was applied to map urban land in the city of Nanjing, eastern China. The mapped results at an accuracy of 92.6% indicate that it can be used to fulfil the mapping objective reliably. Compared with the maximum likelihood classification method, t...

Use of normalized difference built-up index in automatically mapping urban areas from TM imagery

Proposes a generalized split-window method for retrieving land-surface temperature (LST) from AVHRR and MODIS data. Accurate radiative transfer simulations show that the coefficients in the split-window algorithm for LST must vary with the viewing angle, if the authors are to achieve a LST accuracy of about 1 K for the whole scan swath range (/spl plusmn/55/spl deg/ from nadir) and for the ranges of surface temperature and atmospheric conditions over land, which are much wider than those over oceans. The authors obtain these coefficients from regression analysis of radiative transfer simulations, and they analyze sensitivity and error over wide ranges of surface temperature and emissivity and atmospheric water vapor abundance and temperature. Simulations show that when atmospheric water vapor increases and viewing angle is larger than 45/spl deg/, it is necessary to optimize the split-window method by separating the ranges of the atmospheric water vapor, lower boundary temperature, and the surface temperature into tractable subranges. The atmospheric lower boundary temperature and (vertical) column water vapor values retrieved from HIRS/2 or MODIS atmospheric sounding channels can be used to determine the range for the optimum coefficients of the split-window method. This new algorithm not only retrieves land-surface temperature more accurately, but is also less sensitive to uncertainty in emissivity and to instrument quantization error.

/pdf/a-generalized-split-window-algorithm-for-retrieving-land-36tswnh22u.pdf

A generalized split-window algorithm for retrieving land-surface temperature from space

Preface 1. Introduction 2. Electromagnetic waves in free space 3. Interaction of electromagnetic radiation with matter 4. Interaction of electromagnetic radiation with the Earth's atmosphere 5. Photographic systems 6. Electro-optical systems 7. Passive microwave systems 8. Ranging systems 9. Scattering systems 10. Platforms for remote sensing 11. Data processing Appendix 1. The Global Positioning System Appendix 2. Data Bibliography Answers and hints to numerical problems Index.

Physical Principles of Remote Sensing

Paludification and forest retreat in northern oceanic environments.

Least-cost paths in mountainous terrain

This paper presents theoretical and practical assessments of the accuracy with which Digital Elevation Models (DEMs) can be interpolated to higher resolutions and demonstrates that simple bilinear or bicubic convolution is an adequate approach. It is assumed that the DEM is defined on a square grid and is free of error. In other words, this paper does not consider the question of how irregularly distributed elevation measurements should optimally be resampled on to a square grid. The achievable accuracy depends principally on the fractal dimension of the surface and the standard deviations of the height difference between adjacent grid points in the original DEM. The accuracy depends only slightly on the factor by which the resolution of the DEM is increased, and it is typically between 0.2 sigma and 0.6 sigma. The paper briefly discusses the implications of these results for one remote sensing application: the correction of Synthetic Aperture Radar imagery for the effects of terrain-induced distortion.

W. G. Rees

Papers

Physical Principles of Remote Sensing

Paludification and forest retreat in northern oceanic environments.

Least-cost paths in mountainous terrain

The accuracy of Digital Elevation Models interpolated to higher resolutions

Mapping land cover change in a reindeer herding area of the Russian Arctic using Landsat TM and ETM+ imagery and indigenous knowledge