Short-term vegetation succession and erosion identified by airborne remote sensing of Westerschelde salt marshes, The Netherlands

2004 ◽  
Vol 25 (20) ◽  
pp. 4151-4176 ◽  
Author(s):  
A. G. Thomson ◽  
A. Huiskes ◽  
R. Cox ◽  
R. A. Wadsworth ◽  
L. A. Boorman
2002 ◽  
Vol 57 (3) ◽  
pp. 171-183 ◽  
Author(s):  
Hans Hakvoort ◽  
Johan de Haan ◽  
Rob Jordans ◽  
Robert Vos ◽  
Steef Peters ◽  
...  

1998 ◽  
Author(s):  
Alessandra Marino ◽  
Rodolfo Graziani ◽  
Massimo Pecci ◽  
Francesco Silvestri

2006 ◽  
Vol 21 (2) ◽  
pp. 123-125 ◽  
Author(s):  
Viveka Björnhagen ◽  
Torbjörn Messner ◽  
Helge Brändström

AbstractA fire and subsequent explosions occurred in a fireworks warehouse on 13 May 2000. A total of 947 persons were injured and 21 persons died, including four firefighters and one reporter. Communication networks became overloaded and impaired notification chains. The hospital disaster plan was followed, but was proved inadequate. Public information was a high priority. A counselling center was established early and was planned to continue operation for five years. The command function did not perform to expectations. Hospital triage was impaired as many responsible left the triage area. Short-term psychosocial support evolved to long-term programs. Liability issues were examined.


1998 ◽  
Vol 103 (C9) ◽  
pp. 18791-18800 ◽  
Author(s):  
Paul A. Hwang ◽  
Edward J. Walsh ◽  
William B. Krabill ◽  
Robert N. Swift ◽  
Serdar S. Manizade ◽  
...  

2018 ◽  
Vol 10 (8) ◽  
pp. 1298 ◽  
Author(s):  
Lei Yin ◽  
Xiangjun Wang ◽  
Yubo Ni ◽  
Kai Zhou ◽  
Jilong Zhang

Multi-camera systems are widely used in the fields of airborne remote sensing and unmanned aerial vehicle imaging. The measurement precision of these systems depends on the accuracy of the extrinsic parameters. Therefore, it is important to accurately calibrate the extrinsic parameters between the onboard cameras. Unlike conventional multi-camera calibration methods with a common field of view (FOV), multi-camera calibration without overlapping FOVs has certain difficulties. In this paper, we propose a calibration method for a multi-camera system without common FOVs, which is used on aero photogrammetry. First, the extrinsic parameters of any two cameras in a multi-camera system is calibrated, and the extrinsic matrix is optimized by the re-projection error. Then, the extrinsic parameters of each camera are unified to the system reference coordinate system by using the global optimization method. A simulation experiment and a physical verification experiment are designed for the theoretical arithmetic. The experimental results show that this method is operable. The rotation error angle of the camera’s extrinsic parameters is less than 0.001rad and the translation error is less than 0.08 mm.


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