Characterization of the auroral ionosphere using optical remote-sensing techniques

1980 ◽  
Author(s):  
R. SEARS
Author(s):  
Richard H. Bennett ◽  
Huon Li ◽  
Michael D. Richardson ◽  
Peter Fleischer ◽  
Douglas N. Lambert ◽  
...  

Author(s):  
Carmelo Riccardo Fichera ◽  
Giuseppe Modica ◽  
Maurizio Pollino

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.


Author(s):  
Kufre Bassey ◽  
Polycarp Chigbu

An important area of environmental science involves the combination of information from diverse sources relating to a similar endpoint. Majority of optical remote sensing techniques used for marine oil spills detection have been reported lately of having high number of false alarms (oil slick look-a-likes) phenomena which give rise to signals which appear to be oil but are not. Suggestions for radar image as an operational tool has also been made. However, due to the inherent risk in these tools, this paper presents the possible research directions of combining statistical techniques with remote sensing in marine oil spill detection and estimation.


1999 ◽  
Vol 14 (3) ◽  
pp. 89-94 ◽  
Author(s):  
M. M. Hanna ◽  
D. A. Steyn-Ross ◽  
Moira Steyn-Ross

2016 ◽  
Vol 117 ◽  
pp. 114-123 ◽  
Author(s):  
Fernando Carlos Lopes ◽  
Alcides José Pereira ◽  
Vasco Manuel Mantas ◽  
Horácio Kativa Mpengo

2008 ◽  
Vol 58 (7) ◽  
pp. 879-890 ◽  
Author(s):  
Eben D. Thoma ◽  
Richard C. Shores ◽  
Vlad Isakov ◽  
Richard W. Baldauf

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