Change-detection of land cover using fuzzy sets and remotely sensed data

2003 ◽  
Author(s):  
F.J. De Souza ◽  
M.L.F. Velloso ◽  
O.L.H. Fonseca
Keyword(s):  
Land Cover ◽  
Change Detection ◽  
Fuzzy Sets ◽  
Remotely Sensed ◽  
Remotely Sensed Data

Multitemporal remote sensing of landscape dynamics and pattern change: describing natural and anthropogenic trends

2008 ◽  
Vol 32 (5) ◽  
pp. 503-528 ◽  
Author(s):  
Steve N. Gillanders ◽  
Nicholas C. Coops ◽  
Michael A. Wulder ◽  
Sarah E. Gergel ◽  
Trisalyn Nelson
Keyword(s):  
Land Cover ◽  
Change Detection ◽  
Landscape Pattern ◽  
Pattern Analysis ◽  
Spatial Information ◽  
Remotely Sensed ◽  
Spatial Pattern Analysis ◽  
Remotely Sensed Data ◽  
Landscape Pattern Analysis ◽  
Landscape Pattern Indices

Science and reporting information needs for monitoring dynamics in land cover over time have prompted research, and made operational, a wide variety of change detection methods utilizing multiple dates of remotely sensed data. Change detection procedures based upon spectral values are common; however, landscape pattern analysis approaches which utilize spatial information inherent within imagery present opportunities for the generation of unique and ecologically important information. While the use of two images may provide the means to identify change, the use of more than two images for long-term monitoring affords the ability to identify a greater range of processes of landscape change, including rates and dynamics. The main objective of this review is to investigate and summarize the methods and applications of land cover spatial pattern analysis using three or more image dates. The potential and the limitations of landscape pattern indices are identified and discussed to inform application recommendations. The second objective of this review is to make recommendations, including appropriate landscape pattern indices, for the application of landscape pattern analysis of a long time series of remotely sensed data to a case study involving the mountain pine beetle in British Columbia, Canada. The review concludes with recommendations for future research.

Online change detection: Monitoring land cover from remotely sensed data

2006 ◽  
Author(s):  
Yi Fang ◽  
Auroop Ganguly ◽  
Nagendra Singh ◽  
Veeraraghavan Vijayaraj ◽  
Neal Feierabend ◽  
...  
Keyword(s):  
Land Cover ◽  
Change Detection ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Online Change Detection

Change Detection/Feature Extraction System Based on Remotely Sensed Imagery

2005 ◽  
Vol 277-279 ◽  
pp. 349-354
Author(s):  
Myung Hee Jung ◽  
Eui Jung Yun
Keyword(s):  
Feature Extraction ◽  
Land Cover ◽  
Change Detection ◽  
Remotely Sensed ◽  
Extraction System ◽  
Remotely Sensed Data ◽  
Large Size ◽  
Natural Land

Natural land cover patterns continuously undergo changes, impacted by various natural as well as human-managed factors. The remotely sensed data are commonly utilized to detect land cover change, which is important to understanding long-term landscape dynamics. Generally, a methodology for global change is composed of mapping, quantifying, and monitoring changes in the physical characteristics of land cover. The selected processing and analysis techniques affect the quality of the obtained information. In this research, a change detection/feature extraction system is proposed based on remotely sensed data: preprocessing, change detection and segmentation, resulting in the mapping of the change-detected areas. Here, appropriate methods are studied for each step and in particular, in the segmentation process, a multiresolution framework to reduce computational complexity is investigated for multitemporal images of large size.

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