Urban environmental changes assessment through fusion of multispectral and multitemporal satellite data

M. A. Zoran

doi:10.1117/12.864794

25 October 2010 Urban environmental changes assessment through fusion of multispectral and multitemporal satellite data

M. A. Zoran

Proceedings Volume 7831, Earth Resources and Environmental Remote Sensing/GIS Applications; 78311Q (2010) https://doi.org/10.1117/12.864794
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

Environmental urban changes assessment is providing information on environmental quality for identifying the major issues, priority areas of the policy making, planning and management. Effective planning is based on the completely and precisely understanding of the environmental parameters in urban area. Remote sensing is a key application in globalchange science, being very useful for urban climatology and land use/land cover dynamics and morphology analysis. Multi-spectral and multi-temporal satellite imagery (LANDSAT TM and ETM , and IKONOS) for Bucharest urban area over 1989 - 2009 period provides the most reliable technique of monitoring of different urban structures regarding the net radiation and heat fluxes associated with urbanization at the regional scale. The main objectives of this investigation aimed to develop and validate new techniques for mapping and monitoring land cover and land use within and around Bucharest urban area using satellite sensor images and new digital framework data and to analyze the spatial pattern of land cover and the detailed morphology of urban land cover across the study area as well as to develop an improved information base on urban land cover and land cover change for transportation models, urban development planning, urban ecology and local plans.

Citation Download Citation

M. A. Zoran "Urban environmental changes assessment through fusion of multispectral and multitemporal satellite data", Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311Q (25 October 2010); https://doi.org/10.1117/12.864794

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Earth observing sensors

Satellites

Image fusion

Principal component analysis

Sensors

Landsat

Data fusion

Show All Keywords

Keywords/Phrases

Search In:

Publication Years