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Geo-Spatial Technologies in Urban Environments Policy, Practice, and Pixels

:	Ryan R. Jensen, Jay D. Gatrell, Daniel D. McLean
:	Ryan R. Jensen, Jay D. Gatrell, Daniel McLean
:	Geo-Spatial Technologies in Urban Environments Policy, Practice, and Pixels
:	Springer-Verlag
:	9783540266761
:	1
:	CHF 99.20
:

:	Geografie
:	English

:	176
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

This book demonstrates the application of remote-sensing data and geographic information systems to the exploration of issues often ignored by the mainstream community of geo-technical specialists such as urban forestry, urban traffic, migration or quality of life in urban areas. Case studies show how environmental science and planning, sociology, landscape ecology and architecture can benefit from employing remote-sensing data and GIS.

	Foreword	5
	Dedications	7
	Contents	8
	About the Contributors	13
	1 Applying Geospatial Technologies in Urban Environments	15
	1.1 About this book	15
	1.2 Chapters	16
	2 Remote Sensing of Impervious Surfaces and Building Infrastructure	19
	2.1 Introduction	19
	2.2 Conventional Methods	20
	2.3 Remote Sensing Process	20
	2.4 Conclusion	34
	References	34
	3 Policy Implications of Remote Sensing in Understanding Urban Environments: Developing a Wetlands Inventory for Community Decision- Making in Lucas County, Ohio	36
	3.1 Wetlands	37
	3.2 Study Area	38
	3.3 Background	40
	3.4 Analysis	43
	3.5 Conclusions	47
	3.6 Acknowledgements	48
	References	48
	4 Making Spatial Data Usable to the General Public: a Case Study in Tax Mapping	50
	4.1 Background	50
	4.2 GIS and Public Access to Tax Data	52
	4.3 Organizing GIS Data Layers	52
	4.4 Creation of the Tax Map Public Access Website	53
	4.5 Implementation of the Website	56
	4.6 Discussion	57
	4.7 Conclusion	57
	References	59
	5 Modeling Human-Environment Interactions	60
	5.1 The Expansion Method	60
	5.2 Making Sense of the Local: The Use of the Expansion Method to Assess and Explore Contingency	61
	5.3 Human	61
	63	61
	5.4 Rationale for Adopting Casetti to Model Human- Environment Interaction	64
	5.5 Conclusion	64
	References	66
	6 The Relationship Between Urban Leaf Area and Summertime Household Energy Usage	68
	6.1 Introduction	68
	6.2 Methods	69
	6.3 Results	72
	6.4 Discussion	73
	Acknowledgement	74
	References	74
	7 The Urban Environment, Socioeconomic Conditions, and Quality of Life: An Alternative Framework for Understanding and Assessing Environmental Justice	76
	7.1 Introduction	76
	7.2 Methods	79
	7.3 Results	82
	7.4 Discussion	83
	References	83
	8 Image Homogeneity and Urban Demographics: An Integrated Approach to Applied Geo-techniques	86
	8.1 Image Texture	86
	8.2 Methods	87
	8.3 Results	89
	8.4 Discussion	91
	References	92
	9 Local Government Perceptions of Urban Forestry	93
	9.1 Composition and size of the Urban Forest	95
	9.2 Policy Learning	95
	9.3 The Political Leader’s View of the Urban Forest	96
	9.4 Knowledge, the Relationship Model, Understanding and Closing the Gap in Local Government Perceptions of the Urban Forest	101
	References	101
	10 Satellite Remote Sensing of Urban Heat Islands: Current Practice and Prospects	103
	10.1 Current Practice in Remote Sensing of UHIs	104
	10.2 Basic Theory of Thermal Remote Sensing of LST	105
	10.3 Recent Trends	109
	10.4 Urban Heat Island vs. Urban Heat Sink: Case Studies	110
	10.5 Discussion and Conclusions	117
	References	119
	11 Remote Sensing as a Program Assessment Device: The case of Urban Forestry and the Competition for Local Investment	124
	11.1 The Politics of Local Economic Development	125
	11.2 From Grassroots to Public Policy: Environmentalism	126
	11.3 Urban Forestry Assessment Case Studies	134
	11.4 Urban Forestry Policies Up Close	137
	11.5 Methods	141
	11.6 Conclusion	142
	Acknowledgement	143
	References	143
	12 Urban Sprawl Detection Using Satellite Imagery and Geographically Weighted Regression	147
	12.1 Introduction	147
	12.2 Change Detection Techniques	149
	12.3 Geographically Weighted Regression	150
	12.4 Data and Methods	151
	12.5 Results	154
	12.6 Conclusion	160
	References	160
	13 Satellites, Census, and the Quality of Life	162
	13.1 Study Area	162
	13.2 Census Data	163
	13.3 Factor Analysis	164
	13.4 Observed Values	166
	13.5 Structural Variables from Landsat Imagery	171
	13.6 NDVI from Multispectral Imagery	171
	13.7 Predicted Values	171
	13.8 Regression	175
	13.9 Summary and Conclusion	178
	References	178
	14 Urban Environmental Approaches: Policy, Application	178
	180	178
	14.1 Case Studies	180
	14.2 Conclusion	182
	References	183
	Index	184