Yangzhou City land use dynamic monitoring using multi-temporal remote sensing techniques

2008 ◽  
Author(s):  
Jianxi Huang ◽  
Xianlong Zhu ◽  
Feng Mao ◽  
Wensheng Zhou ◽  
Zhihua Tang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Dynamic Monitoring ◽  
Multi Temporal ◽  
Remote Sensing Techniques

Multi-Temporal Remote Sensing Dynamic Monitoring and Driving Force Analysis in Yangzhou Urban Area Based on Object-Oriented Technology

2013 ◽  
Vol 347-350 ◽  
pp. 352-356
Author(s):  
Li Wang ◽  
Xi Min Cui ◽  
De Bao Yuan ◽  
Xue Qian Hong ◽  
Zai Jie Shi
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Area ◽  
Driving Forces ◽  
Rapid Development ◽  
Object Oriented ◽  
Dynamic Monitoring ◽  
Feature Extraction Method ◽  
Multi Temporal ◽  
Key Techniques

For recent decades, especially with the launch of international commercial satellites carrying high-precision sensors, land use dynamic monitoring techniques based on high-resolution remote sensing imagery have undergone a phase of rapid development of key techniques applied in many aspects vastly. This paper is focused on the technological research and procedure of these key techniques, including the process of multi-temporal images, the information classification and feature extraction method, and also the analysis of classified result and driving factors influencing mutual conversion between land classes. Considering the representative meaning as its typicality in China, Yangzhou urban area was regarded as the study zone with multi-temporal images of three periods in the year of 1988, 2002 and 2007. During the procedure of classifying, object-oriented method was applied to e36xtract features from different multi-temporal imagery. Through comparative analysis, it was demonstrated that residential area expanded rapidly especially from 2002 to 2007 and area of the arable and other kinds of land cover reduced considerably. Finally, it is concluded that multiple driving forces affected the land use/change and multivariable linear regression model was used to explore the primary and secondary forces.

Remote sensing of Australian wetlands: An evaluation of Landsat TM data for inventory and classification

1993 ◽  
Vol 44 (2) ◽  
pp. 235 ◽  
Author(s):  
RM Johnston ◽  
MM Barson
Keyword(s):  
Remote Sensing ◽  
Water Regime ◽  
Landsat Tm ◽  
Classification Methods ◽  
Vegetation Types ◽  
Infrared Band ◽  
South Wales ◽  
Multi Temporal ◽  
Density Slicing ◽  
Remote Sensing Techniques

This study aimed to develop simple remote-sensing techniques suitable for mapping and monitoring wetlands, using Landsat TM imagery of inland wetland sites in Victoria and New South Wales. A range of classification methods was examined in attempts to map the location and extent of wetlands and their vegetation types. Multi-temporal imagery (winter/spring and summer) was used to display seasonal variability in water regime and vegetation status. Simple density slicing of the mid-infrared band (TM5) from imagery taken during wet conditions was useful for mapping the location and extent of inundated areas. None of the classification methods tested reproduced field maps of dominant vegetation species; however, density slicing of multi-temporal imagery produced classes based on seasonal variation in water regime and vegetation status that are useful for reconnaissance mapping and for examining variability in previously mapped units. Satellite imagery is unlikely to replace aerial photography for detailed mapping of wetland vegetation types, particularly where ecological gradients are steep, as in many riverine systems. However, it has much to offer in monitoring changes in water regime and in reconnaissance mapping at regional scales.

Integration of Satellite Remote Sensing Techniques and Landscape Metrics to Characterize Land Cover Change and Dynamics

2013 ◽  
pp. 228-244
Author(s):  
Carmelo Riccardo Fichera ◽  
Giuseppe Modica ◽  
Maurizio Pollino
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Landscape Metrics ◽  
Landsat Images ◽  
Aerial Photos ◽  
Multi Temporal ◽  
Urban Rural ◽  
Remote Sensing Techniques

One of the most relevant applications of Remote Sensing (RS) techniques is related to the analysis and the characterization of Land Cover (LC) and its change, very useful to efficiently undertake land planning and management policies. Here, a case study is described, conducted in the area of Avellino (Southern Italy) by means of RS in combination with GIS and landscape metrics. A multi-temporal dataset of RS imagery has been used: aerial photos (1954, 1974, 1990), Landsat images (MSS 1975, TM 1985 and 1993, ETM+ 2004), and digital orthophotos (1994 and 2006). To characterize the dynamics of changes during a fifty year period (1954-2004), the approach has integrated temporal trend analysis and landscape metrics, focusing on the urban-rural gradient. Aerial photos and satellite images have been classified to obtain maps of LC changes, for fixed intervals: 1954-1985 and 1985-2004. LC pattern and its change are linked to both natural and social processes, whose driving role has been clearly demonstrated in the case analysed. In fact, after the disastrous Irpinia earthquake (1980), the local specific zoning laws and urban plans have significantly addressed landscape changes.

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