Multisource Data Integration in Remote Sensing

Papers presented at the workshop on Multisource Data Integration in Remote Sensing are compiled. The full text of these papers is included. New instruments and new sensors are discussed that can provide us with a large variety of new views of the real world. This huge amount of data has to be combined and integrated in a (computer-) model of this world. Multiple sources may give complimentary views of the world - consistent observations from different (and independent) data sources support each other and increase their credibility, while contradictions may be caused by noise, errors during processing, or misinterpretations, and can be identified as such. As a consequence, integration results are very reliable and represent a valid source of information for any geographical information system

Restorative Properties of Semi-Outdoor Space in the Workplace: Towards an atmospheric quality of architecture

The biophilic design philosophy embraces the creation of dynamic multi-sensory built environments through the incorporation of nature for its restorative properties, including the restoration of attentional capacity, reduction of stress, and improvement of mood. However, current literature focuses almost exclusively on the visual experience while neglecting the thermal sense. This thesis argues for the central role played by thermal sense in occupants’ restorative experience of nature within the built environment. Experimental methods are used to address the question “To what extent does the thermal realm contribute to the multisensory experience of nature and its restorative benefits in semi-outdoor environments?” A pre-and-post-test experiment was conducted to compare the restorative effects of a workplace semi-outdoor space presenting two distinct thermal scenarios, one devoid of adaptive opportunities, just direct sunlight exposure, and the other condition including the adaptive opportunity for subjects to select between direct sunlight or shade. The experiment used a multisensory virtual reality method to simulate the dynamic environmental conditions of an actual semi-outdoor space. Significant associations between thermal pleasure, thermal adaptive opportunities, and restorative benefits were found. This study observed cultural differences in participants’ thermal preferences and restorative outcomes. Relationships between the thermal realm and psychological restoration were proposed based on the empirical findings. This project brings empirical evidence to the architectural discourse and critique of ‘ocular-centrism’ and advocates the key role of thermal pleasure and delight within the biophilia theme in contemporary architecture. The methodological innovation and findings from the project invite new lines of inquiry that focus on the psychological benefits of thermal pleasure in the outdoor urban context

The Eco Office: Dynamic and Homeostatic Facades inspired by BIOMORPHIM, BIOMIMICRY, and BIOPHILIA

"Come forth into the light of things, Let Nature be your teacher.” ~ William Wordsworth The focus of this dissertation research is to extend and increase an understanding of sustainable building envelope design strategies, with specific focus on transfer of light, air, and heat, within a tropical site setting/context. Biomimetic architecture is a process that is primarily driven by inspiration from natural systems and organisms. Designs and patterns found in nature are often resolved at the “macro” as well as at the “micro/nano” molecular levels, which prompts further investigation into present-day advancements in material science and nanotechnological concepts. Nanotechnology is a way of looking closer at systems and material structures and properties; the translation from biomimetic architecture to the nano-molecular scale of materials thus promotes sustainability in buildings, by providing ways and means to incorporate new technologies and novel material systems into the architectural design of building facades, that will further aid with the successful implementation of passive design strategies, in order to establish comfortable interior lighting, ventilation, and thermal conditions. Extensive literature reviews and material research are utilized for the bio-tonano design process and analyses. Performance of design modules created has been tested using design simulations and reiterative analysis processes. “Taking cues from Nature – creation of responsive (environment and human responsive) architecture” – is the idea that is the primary motivation behind the research focus. The key goal of this research is to propose alternative futures in building envelope design, for a site in Honolulu, which would serve as a digital prototype for similar such investigations into integrating nature-inspired macro and nanotechnology structures and materials into building systems design. Psychophysiology (the mind-body-interaction) and experimental testing is used as part of the final testing and analysis, to assess people’s responses to nature-inspired design and emerging building technologies

Generators of Architectural Atmosphere

This book was born as the legacy of the “Generators of Architectural Atmosphere” Symposium, an Interfaces event of the Academy of Neuroscience for Architecture (ANFA), sponsored by the EU’s Horizon 2020 MSCA Program — RESONANCES Project, the Perkins Eastman Studio, and the 2020 Regnier Chair. The event was hosted in the College of Architecture, Planning and Design (APDesign), Kansas State University, Manhattan, KS, on April 12, 2022. Recent advances in science are confirming many of the architect’s expert intuitions opening new doors to the perception of space and the meaning of architectural design. This volume collects three essays: “The Atmospheric Equation and the Weight of Architectural Generators” by Elisabetta Canepa; “Sensing the Atmospheric Space Through a Virtual Lens: Scrutinizing Opportunities and Limitations” by Kutay Güler; and “Locating Architectural Atmosphere” by Tiziana Proietti and Sergei Gepshtein. Bob Condia provided a critical introduction entitled “The Applied Science of Generating Atmospheres in Architecture.”https://newprairiepress.org/ebooks/1048/thumbnail.jp

Third Annual Earth Resources Program Review. Volume 2: Agriculture, forestry, and sensor studies

Remote sensing and data reduction techniques for Earth Resources Program applied to agriculture and forestry - conferenc

The Second Spaceborne Imaging Radar Symposium

Summaries of the papers presented at the Second Spaceborne Imaging Radar Symposium are presented. The purpose of the symposium was to present an overwiew of recent developments in the different scientific and technological fields related to spaceborne imaging radars and to present future international plans

Historical Acoustics: Relationships between People and Sound over Time

This book is a collection of contributions to the Special Issue “Historical Acoustics: Relationships between People and Sound over Time”. The research presented here aims to explore the origins of acoustics and examine the relationships that have evolved over the centuries between people and auditory phenomena. Sounds have indeed accompanied human civilizations since the beginning of time, helping them to make sense of the world and to shape their cultures. Several key topics emerged, such as the acoustics of historical worship buildings, the acoustics of sites of archaeological interest, the acoustics of historical opera houses, and the topic of soundscapes as cultural intangible heritage. The book, as a whole, reflects the vibrant research activity around the “acoustics of the past”, which will hopefully be serve as a foundation for inspiring the future path of this discipline

The Psychology of Vehicle Performance: Implications for the Uptake of Electric Vehicles

Road transport accounts for around 16% of global CO2 emissions, and electric vehicles (EVs) represent a potential mitigation route. High performance might offset the disadvantages of higher cost and short range that make their uptake problematic. This research investigated how consumer drivers construe, perceive and value vehicle performance. Research with UK drivers, using the repertory grid method, found that drivers construe vehicle performance as having two independent dimensions, dynamic and cruising performance. A new inter-goal dynamics and feedback control model of driving behaviour was developed to account for differences in the opportunities afforded to perceive vehicle performance in naturalistic driving. This was embedded in a Bayesian model for perception of available vehicle performance. Driving simulation and test track experiments with UK drivers found that: driving behaviour was strongly affected by goal activation; drivers could perceive performance differences in naturalistic driving, but only if they were large; the lowest perceptual difference threshold, for mid-range available vehicle acceleration, was 7.7%; smaller differences could affect driving behaviour (overtaking) through a process of implicit learning. The symbolic value of products is conferred by their symbolic meanings. Two new methods were developed to quantify symbolic meanings, grounded in costly signalling theory, which represents them in terms of personality traits of a typical user. The symbolic meanings of car types, performance attributes and driving styles were all measured. In a randomised controlled trial, UK consumer drivers rated an EV better on dynamic and cruising performance than a conventional ICE control, but this benefit was insufficient to outweigh the disadvantages. The symbolic meaning of an EV was found to be consistent with cruising performance, but inconsistent with dynamic performance. Extended-range EVs would have the dynamic and cruising performance benefits of EVs without the range disadvantages, and may be a desirable option for many once costs reduce

HIERARCHICAL NEURAL COMPUTATION IN THE MAMMALIAN VISUAL SYSTEM

Our visual system can efficiently extract behaviorally relevant information from ambiguous and noisy luminance patterns. Although we know much about the anatomy and physiology of the visual system, it remains obscure how the computation performed by individual visual neurons is constructed from the neural circuits. In this thesis, I designed novel statistical modeling approaches to study hierarchical neural computation, using electrophysiological recordings from several stages of the mammalian visual system. In Chapter 2, I describe a two-stage nonlinear model that characterized both synaptic current and spike response of retinal ganglion cells with unprecedented accuracy. I found that excitatory synaptic currents to ganglion cells are well described by excitatory inputs multiplied by divisive suppression, and that spike responses can be explained with the addition of a second stage of spiking nonlinearity and refractoriness. The structure of the model was inspired by known elements of the retinal circuit, and implies that presynaptic inhibition from amacrine cells is an important mechanism underlying ganglion cell computation. In Chapter 3, I describe a hierarchical stimulus-processing model of MT neurons in the context of a naturalistic optic flow stimulus. The model incorporates relevant nonlinear properties of upstream V1 processing and explained MT neuron responses to complex motion stimuli. MT neuron responses are shown to be best predicted from distinct excitatory and suppressive components. The direction-selective suppression can impart selectivity of MT neurons to complex velocity fields, and contribute to improved estimation of the three-dimensional velocity of moving objects. In Chapter 4, I present an extended model of MT neurons that includes both the stimulus-processing component and network activity reflected in local field potentials (LFPs). A significant fraction of the trial-to-trial variability of MT neuron responses is predictable from the LFPs in both passive fixation and a motion discrimination task. Moreover, the choice-related variability of MT neuron responses can be explained by their phase preferences in low-frequency band LFPs. These results suggest an important role of network activity in cortical function. Together, these results demonstrated that it is possible to infer the nature of neural computation from physiological recordings using statistical modeling approaches