tailieunhanh - GIS and Evidence-Based Policy Making - Chapter 2

Sự quan tâm gần đây hồi sinh trong đô thị vệ tinh viễn thám IS Như nhiều kết quả của việc tăng cường liên kết với GIS Như Nó là những bước đột phá trong siêu cao độ phân giải không gian vệ tinh cảm biến dữ liệu (Mesev, 2003a). Đối với lần đầu tiên, những lý do cho việc sử dụng dữ liệu vệ tinh cảm biến trong quy hoạch đô thị CDN Go Beyond xấp xỉ thô sử dụng đất và trở thành đặc tính đồng cảm hơn với Sự cần thiết cho các bản đồ chính xác up-to-ngày sử dụng đất phân định,. | 2 Urban Neighborhood Pattern Recognition Using High Spatial Resolution Remotely Sensed Data and Point-Based GIS Data Sources Victor Mesev and Paul McKenzie CONTENTS Difficulties of Remotely Sensing Urban Land Aggregated Urban Spatial Disaggregated Urban Spatial Point-Based Geographies. 23 Point-Based Geographies of Bristol and Nearest Neighbor Indices of Point Belfast and Bristol Nearest Neighbor Linear Nearest Neighbor Indices of Point Using Postal Point Data to Infer Land Use from IKONOS Imagery. 34 Conclusions and Further Introduction The recent revitalized interest in satellite urban remote sensing is as much the result of strengthening links with GIS as it is of the breakthrough in super-high spatial resolution satellite sensor data Mesev 2003a . For the first time the rationale for using satellite sensor data in urban planning can go beyond coarse approximations of land-use characterization and become more sympathetic to the needs for up-to-date precision maps of land-use delineation which in turn are critical for government policy decisions on individual household behavior and interaction Donnay 1999 . As such 2007 by Taylor Francis Group LLC. there is now also a realistic possibility that urban remote sensing can begin to emulate environmental remote sensing and play an increasingly central role for supporting national and regional policies on the estimation of population change Chen 2002 the calculation of quality-of-life indices Lo 2003 and the evaluation of transport flow as well as the precise delineation of urban features and measurement of size density and height of buildings Barnsley et al. 2003 . Difficulties of Remotely Sensing Urban Land Use Wider adoption of data from Earth-orbiting satellite sensors