Effects of spatial resolution of remotely sensed data on estimating urban impervious surfaces

Journal of Environmental Sciences

Volumn 23, Issue 8, 2011, Pages 1375-1383

  Li, Weifeng ^a   Ouyang, Zhiyun ^a   Zhou, Weiqi ^b   Chen, Qiuwen ^a  

^a RESEARCH CENTER FOR ECO ENVIRONMENTAL SCIENCES   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Impervious surface; Landscape pattern; Object based image analysis; Remote sensing; Spatial resolution; Urban landscape

Indexed keywords

IMPERVIOUS SURFACE; LANDSCAPE PATTERN; OBJECT BASED IMAGE ANALYSIS; SPATIAL RESOLUTION; URBAN LANDSCAPE;

AIR QUALITY; BIODIVERSITY; DECISION MAKING; ENVIRONMENTAL MANAGEMENT; IMAGE RESOLUTION; PLANNING; REMOTE SENSING; URBAN PLANNING; WATER QUALITY;

ESTIMATION;

AIR QUALITY; BIODIVERSITY; DECISION MAKING; ENVIRONMENTAL INDICATOR; ENVIRONMENTAL MONITORING; IMAGE ANALYSIS; LAND MANAGEMENT; LANDSAT; MICROCLIMATE; REMOTE SENSING; RUNOFF; SATELLITE DATA; SPATIAL RESOLUTION; URBAN PLANNING; URBANIZATION; WATER QUALITY;

ARTICLE; CHINA; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; METHODOLOGY;

CHINA; CONSERVATION OF NATURAL RESOURCES; ENVIRONMENTAL MONITORING;

BEIJING [CHINA]; CHINA;

EID: 80051688160     PISSN: 10010742     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1001-0742(10)60541-4     Document Type: Article

References (23)

1. Abdul-Wahab SA, Bakheit CS, Al-Alawi SM Principal Component and multiple regression analysis in modeling of ground-level ozone and factors affecting its concentrations. Environmental Modelling & Software 2005, 20:1263-1271.
2. Bauer ME, Heinert NJ, Doyle JK, Yuan F. 2004. Impervious surface mapping and change monitoring using satellite remote sensing. In: Proceedings of ASPRS Annual Conference. Denver, Colorado. 24-28 May.
3. Civco JD, Hurd EH, Wilson CL, Arnold MP, Prisloe J Quantifying and describing urbanizing landscapes in the northeast United States. Photogrammetric Engineering and Remote Sensing 2002, 68(10):1083-1090.
4. Fernandez N, Paruelo JM, Delibes M Ecosystem functioning of protected and altered Mediterranean environments: A remote sensing classification in Donana, Spain. Remote Sensing of Environment 2010, 114:211-220.
5. Flanagan M, Civco DL. 2001. Subpixel impervious surface mapping. In: Proceedings of ASPRS Annual Conference. St. Louis, MO. 23-27 April.
6. Goetz SJ, Wright RK, Smith AJ, Zinecker E, Schaub E IKONOS imagery for resource management: Tree cover, impervious surfaces, and riparian buffer analyses in the mid-Atlantic region. Remote Sensing of Environment 2003, 88:195-208.
7. Lee J, Pak G, Yoo C, Kim S, Yoon J Effects of land use change and water reuse options on urban water cycle. Journal of Environmental Sciences 2010, 22(6):923-928.
8. Lu D, Weng Q Spectral mixture analysis of ASTER images for examining the relationship between urban thermal features and biophysical descriptors in Indianapolis, Indiana, USA. Remote Sensing of Environment 2006, 104(2):157-167.
9. Luo HB, Luo L, Huang G, Liu P, Li J, Hu S, et al. Total pollution effect of urban surface runoff. Journal of Environmental Sciences 2009, 21(9):1186-1193.
10. Philip ED, Roberts DA Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE. Remote Sensing of Environment 2003, 87:123-135.
11. Ridd MK Exploring a V-I-S (Vegetation-Impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities. International Journal of Remote Sensing 1995, 16(12):2165-2185.
12. Statheropoulos M, Vassiliadis N, Pappa A Principal component and canonical correlation analysis for examining air pollution and meteorological data. Atmospheric Environment 1998, 32:1087-1095.
13. Vaidya OC, Howell GD, Leger DA Evaluation of the distribution of mercury in lakes in Nova Scotia and Newfoundland. Water Air and Soil Pollution 2000, 117:353-369.
14. Wang YQ, Zhang X, Lampa W, 2000. Improvement of spatial accuracy in natural resources mapping using multisensor remote sensing and multisource spatial data. In: Proceedings of the 4th International Symposium on Spatial Accuracy Assessment in natural resources and environmental sciences. Amsterdam, the Netherlands. 23-30 July.
15. Ward D, Phinn SR, Murry AT Monitoring growth in rapidly urbanized areas using remotely sensed data. The Professional Geographer 2000, 52(3):371-386.
16. White M, Greer KA The effects of watershed urbanization on the stream hydrology and riparian vegetation of Los Penasquitos Creek, California. Landscape and Urban Planning 2006, 74(2):125-138.
17. Wu C Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery. Remote Sensing of Environment 2004, 93:480-492.
18. Xiao RB, Ouyang ZY, Zheng H, Li WF, Erich S, Wang XK Spatial pattern of impervious surface and their impacts on land surface temperature in Beijing, China. Journal of Environmental Sciences 2007, 19(2):250-256.
19. Yang LM, Huang CQ, Homer CG, Wylie BK, Coan MJ An approach for mapping large-area impervious surfaces: Synergistic use of Landsat 7 ETM+ and high spatial resolution imagery. Canadian Journal of Remote Sensing 2003, 29(2):230-240.
20. Yuan F, Bauer ME Comparision of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sensing of Environment 2007, 106:375-386.
21. Zha Y, Gao J, Ni S Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing 2003, 24(3):583-594.
22. Zhou WQ, Troy A, Grove M Object-based land cover classification and change analysis in the Baltimore Metropolitan Area using multitemporal high resolution remote sensing data. Sensors 2008, 8:1613-1636.
23. Zhou WQ, Troy A An object-oriented approach for analysing and characterizing urban landscape at the parcel level. International Journal of Remote Sensing 2008, 29(11):3119-3135.