Methods for Calculating Persistence and Spatial Range

2006 ◽  
pp. 91-117
Keyword(s):  
Spatial Range

Cerebellar Purkinje cells provide target support over a limited spatial range: evidence from lurcher chimeric mice

1991 ◽  
Vol 64 (1-2) ◽  
pp. 87-94 ◽  
Author(s):  
Michael W. Vogel ◽  
Mark McInnes ◽  
Hadi Shojaeian Zanjani ◽  
Karl Herrup
Keyword(s):  
Purkinje Cells ◽  
Chimeric Mice ◽  
Spatial Range ◽  
Cerebellar Purkinje Cells

Stitching of equatorial profiles for extended spatial range assessment

1996 ◽  
Author(s):  
Paul J. Sullivan ◽  
Robert E. Parks ◽  
Lianzhen Shao
Keyword(s):  
Spatial Range

Spatial range shape drives the grain size effects in species distribution models

Ecography ◽  
2013 ◽  
Vol 36 (7) ◽  
pp. 778-787 ◽  
Author(s):  
Christine Lauzeral ◽  
Gaël Grenouillet ◽  
Sébastien Brosse
Keyword(s):  
Grain Size ◽  
Species Distribution ◽  
Size Effects ◽  
Species Distribution Models ◽  
Distribution Models ◽  
Spatial Range ◽  
Grain Size Effects

scholarly journals Skin Detection in Videos in the Spatial-Range Domain

2005 ◽  
pp. 961-969
Author(s):  
Javier Ruiz-del-Solar ◽  
Rodrigo Verschae ◽  
Daniel Kottow
Keyword(s):  
Skin Detection ◽  
Spatial Range

scholarly journals Estimation of Tropospheric and Ionospheric Delay in DInSAR Calculations: Case Study of Areas Showing (Natural and Induced) Seismic Activity

2019 ◽  
Vol 11 (6) ◽  
pp. 621 ◽  
Author(s):  
Wojciech Milczarek ◽  
Anna Kopeć ◽  
Dariusz Głąbicki
Keyword(s):  
Seismic Activity ◽  
Coastal Region ◽  
Ground Surface ◽  
Negative Influence ◽  
Special Importance ◽  
Spatial Range ◽  
First Case ◽  
Induced Seismic Activity ◽  
Surface Changes ◽  
Terrain Surface

The article presents a proposal to make simultaneous allowance for both ionospheric and tropospheric corrections in differential synthetic aperture radar interferometry (DInSAR) measurements. Atmospheric delay in the interferometric phase may cause the detection of terrain-surface changes to be impossible or significantly distorted. This fact remains of special importance in the case of surface changes that show limited amplitude and spatial range. Two areas were chosen to verify the validity of the proposed solution. The first area includes terrains affected by underground copper-ore mining activity (Poland), which shows high induced seismic activity. Mining tremors recorded in this area cause the terrain surface to locally subside. The authors analyzed three tremors that were recorded in 2016, 2017, and 2019. Each of the tremors exceeded a magnitude of Mw 4.0. The second area is located in the coastal region of Chile, in the Cardenal Caro province. In this case, the authors focused on a series of three earthquakes recorded on 11 March 2010. The strongest of the earthquakes was of Mw 7.0 magnitude. In the first case, calculations were based on obtained data from the Sentinel 1 satellites, and in the second case from the ALOS-1 satellite. It is demonstrated that simultaneous allowance for both the tropospheric and ionospheric corrections significantly improves the final results. The authors were also able to use the analyzed cases to demonstrate that implementation of the corrections does not have negative influence on the range and magnitude of local ground-surface deformations. At the same time, such implementation minimizes local displacement fluctuations and reduces displacement values in areas affected by deformations. The examples used in the article served to show that tropospheric correction is mainly responsible for global corrections (i.e., within the whole analyzed spatial range), while ionospheric correction reduces local fluctuations.

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