Using Aerial Photography and Satellite Imagery to Monitor Forest Cover in Western Siberia

1995 ◽  
pp. 499-507
Author(s):  
V. N. Sedykh
Keyword(s):  
Satellite Imagery ◽  
Aerial Photography ◽  
Forest Cover ◽  
Western Siberia

Remote Sensing Techniques in Civil Engineering Surveys

1986 ◽  
Vol 2 (1) ◽  
pp. 119-124
Author(s):  
E. M. Amos ◽  
D. Blakeway ◽  
C. D. Warren
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Aerial Photography ◽  
Civil Engineering ◽  
Thermal Infrared ◽  
Infrared Photography ◽  
Black And White ◽  
Remote Sensing Techniques ◽  
Landsat Satellite ◽  
False Colour

AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.

Comparison of Damage Assessment Maps Derived from Very High Spatial Resolution Satellite and Aerial Imagery Produced for the Haiti 2010 Earthquake

2011 ◽  
Vol 27 (1_suppl1) ◽  
pp. 199-218 ◽  
Author(s):  
Christina Corbane ◽  
Daniela Carrion ◽  
Guido Lemoine ◽  
Marco Broglia
Keyword(s):  
Satellite Imagery ◽  
Aerial Photography ◽  
Damage Assessment ◽  
High Spatial Resolution ◽  
Building Damage ◽  
Aerial Imagery ◽  
Rapid Mapping ◽  
Very High Spatial Resolution ◽  
High Level ◽  
Very High

Following the devastating M7.2 earthquake that affected Haiti on 12 January 2010 two types of building damage assessment maps were produced: 1) area-based damage assessments using pre- and post-event satellite imagery and 2) detailed building-by-building damage assessments using post-event aerial photography. In this paper, we compare the reliability and the usability of area-based damage assessment maps from satellite imagery with respect to the detailed damage assessment from aerial data. The main objective is to better understand how cooperative rapid mapping can steer the more detailed assessments that are typical in determining postdisaster recovery and reconstruction efforts. The results of these experiments indicate that damage assessment maps based on satellite data are capable of capturing the damage pattern, mainly in areas with a high level of damaged and many collapsed structures. However, these maps cannot provide the level of information needed for the quantification of damage intensity.

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