A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters

2009 ◽  
Vol 33 (2) ◽  
pp. 183-207 ◽  
Author(s):  
Karen E. Joyce ◽  
Stella E. Belliss ◽  
Sergey V. Samsonov ◽  
Stephen J. McNeill ◽  
Phil J. Glassey
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Emergency Services ◽  
Spatial Information ◽  
Current Status ◽  
Data Types ◽  
Image Processing Techniques ◽  
Rapid Acquisition ◽  
The Status ◽  
Processing Techniques

In the event of a natural disaster, remote sensing is a valuable source of spatial information and its utility has been proven on many occasions around the world. However, there are many different types of hazards experienced worldwide on an annual basis and their remote sensing solutions are equally varied. This paper addresses a number of data types and image processing techniques used to map and monitor earthquakes, faulting, volcanic activity, landslides, flooding, and wildfire, and the damages associated with each. Remote sensing is currently used operationally for some monitoring programs, though there are also difficulties associated with the rapid acquisition of data and provision of a robust product to emergency services as an end-user. The current status of remote sensing as a rapid-response data source is discussed, and some perspectives given on emerging airborne and satellite technologies.

Vegetation Index

2017 ◽  
pp. 347-386
Author(s):  
Suresh Kumar Nagarajan ◽  
Arun Kumar Sangaiah
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Level Of Detail ◽  
Classification Methods ◽  
New Techniques ◽  
Image Processing Techniques ◽  
High Resolution Images ◽  
Processing Techniques

This is the survey for finding vegetation, deforestation of earth images from various related papers from different authors. This survey deals with remote sensing and normalized difference vegetation index with various techniques. We survey almost 100 theoretical and empirical contributions in the current decade related to image processing, NDVI generation by using various new techniques. We also discuss significant challenges involved in the adaptation of existing image processing techniques to generation NDVI systems that can be useful in the real world. The resolution of remote sensing images increases every day, raising the level of detail and the heterogeneity of the scenes. Most of the existing geographic information systems classification tools have used the same methods for years. With these new high resolution images, basic classification methods do not provide satisfactory results.

Image Processing Techniques for Remote Sensing

2014 ◽  
pp. 123-154 ◽  
Author(s):  
Florence Tupin ◽  
Jordi Inglada ◽  
Grégoire Mercier
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Image Processing Techniques ◽  
Processing Techniques
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