TY - GEN
T1 - A multidimensional urban land cover change analysis in Tempe, AZ
AU - Zhao, Qunshan
AU - Reynolds, Ryan
AU - Wang, Chuyuan
AU - Wentz, Elizabeth A.
N1 - Funding Information:
V. CONCLUSIONS Urban areas concentrate people, economic activities, and thebuilt environmentand serve to protect outlying areas.The fast-growing urbanization process converts vegetation-soils continuum into built-up areas. Our results show a significant volume change among the imperious land cover category, which represents the urban residential renovation from vacant lands and single-family households to high-rise apartment complexes. Further, urban green space is more and more fragmented because of the new buildings/roads’ construction. Our research provides a preliminary method to understand multidimensional change analysis. Future work will focus on designing a comprehensive methodology to understand and compare urban landscape fragmentation in the 3D environment in um ltiple icts. ie ACKNOWLEDGMENT This material is based upon work supported by the National Aeronautics and Space Administration under Grant No. 13-LCLUC13-2-0012 issued through the Research Opportunities in Space and Earth Science (ROSES-2013), Program Element A.2: Land Cover/Land Use Change (LCLUC13-2). Any opinions, findings, and conclusions or recommendations expressed in this article are those of the authors and do not necessarily reflect the views of the National Aeronautics and Space Administration.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Rapid population growth leading to significant conversion of rural to urban lands requires deep understanding on how the human population interacts with the built-environment. Our research goal is to explore methodologies on how to analyze multidimensional urban change with the consideration of time, space, and landscape patterns. Using NAIP high resolution satellite images and LIDAR data, we were able to derive land cover classification maps and normalized height difference at different time periods. Then we performed the 2D, 3D and landscape pattern change analysis for a case study area. The research results show that a combination of 2D, 3D and landscape pattern change analysis can provide a comprehensive understanding of urban change, and the results will help urban planners and decision makers to better understand the status of urban transformation and design city for the future.
AB - Rapid population growth leading to significant conversion of rural to urban lands requires deep understanding on how the human population interacts with the built-environment. Our research goal is to explore methodologies on how to analyze multidimensional urban change with the consideration of time, space, and landscape patterns. Using NAIP high resolution satellite images and LIDAR data, we were able to derive land cover classification maps and normalized height difference at different time periods. Then we performed the 2D, 3D and landscape pattern change analysis for a case study area. The research results show that a combination of 2D, 3D and landscape pattern change analysis can provide a comprehensive understanding of urban change, and the results will help urban planners and decision makers to better understand the status of urban transformation and design city for the future.
KW - LIDAR
KW - NAIP
KW - landscape configuration/composition
KW - urban land cover analysis
UR - http://www.scopus.com/inward/record.url?scp=85072053757&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072053757&partnerID=8YFLogxK
U2 - 10.1109/JURSE.2019.8808957
DO - 10.1109/JURSE.2019.8808957
M3 - Conference contribution
AN - SCOPUS:85072053757
T3 - 2019 Joint Urban Remote Sensing Event, JURSE 2019
BT - 2019 Joint Urban Remote Sensing Event, JURSE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Joint Urban Remote Sensing Event, JURSE 2019
Y2 - 22 May 2019 through 24 May 2019
ER -