Evaluation of Flat Versus Complex Terrain Models in Estimating Pollutant Transport and Deposition in Complex Terrain

1991 ◽  
pp. 1-19 ◽  
Author(s):  
Mark W. Yambert ◽  
Greg D. Belcher ◽  
Curtis C. Travis
Keyword(s):  
Complex Terrain ◽  
Pollutant Transport ◽  
Terrain Models ◽  
Versus Complex

Mesoscale numerical modeling of pollutant transport in complex terrain

1987 ◽  
Vol 41 (1-4) ◽  
pp. 59-74 ◽  
Author(s):  
R. A. Pielke ◽  
R. W. Arritt ◽  
M. Segal ◽  
M. D. Moran ◽  
R. T. McNider
Keyword(s):  
Numerical Modeling ◽  
Complex Terrain ◽  
Pollutant Transport

An experimental study of nightime air-pollutant transport over complex terrain in Athens

1992 ◽  
Vol 26 (1) ◽  
pp. 59-71 ◽  
Author(s):  
D. Asimakopoulos ◽  
D. Deligiorgi ◽  
C. Drakopoulos ◽  
C. Helmis ◽  
K. Kokkori ◽  
...  
Keyword(s):  
Experimental Study ◽  
Complex Terrain ◽  
Pollutant Transport ◽  
Air Pollutant

Pollutant transport over complex terrain: Flux and budget calculations for the pollumet field campaign

1996 ◽  
Vol 30 (17) ◽  
pp. 3027-3044 ◽  
Author(s):  
Michael Lehning ◽  
Hans Richner ◽  
Gregory L. Kok
Keyword(s):  
Complex Terrain ◽  
Pollutant Transport ◽  
Field Campaign

scholarly journals Automated Detection of Field Monuments in Digital Terrain Models of Westphalia Using OBIA

Geosciences ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 109 ◽  
Author(s):  
M. Meyer ◽  
Ingo Pfeffer ◽  
Carsten Jürgens
Keyword(s):  
Complex Terrain ◽  
Automated Detection ◽  
Archaeological Prospection ◽  
Object Based Image Analysis ◽  
Difference Map ◽  
Digital Terrain ◽  
Terrain Models ◽  
Object Based ◽  
Burial Mounds ◽  
The Difference

While Light Detection and Ranging (LiDAR) revolutionized archaeological prospection and different visualizations were developed, an automated detection of cultural heritage still poses a significant challenge. Therefore, geographers and archaeologists from Westphalia, Germany are developing automated workflows for classifying field monuments from special terrain models. For this project, a combination of GIS, Python, and Object-Based Image Analysis (OBIA) is used. It focuses on three common types of monuments: Ridge and Furrow areas, Burial Mounds, and Motte-and-Bailey castles. The latter two are not classified binary, but in multiple classes, depending on their degree of erosion. This simplifies interpretation by highlighting the most interesting structures without losing the others. The results confirm that OBIA is suitable for detecting field monuments with hit rates of ~90%. A drawback is its dependency on the use of special terrain models like the Difference Map. Further limitations arise in complex terrain situations.

scholarly journals New Method of Visibility Network and Statistical Pattern Network Recognition Usage in Terrain Surfaces

2019 ◽  
Vol 66 (1) ◽  
pp. 13-25 ◽  
Author(s):  
Matej Babič ◽  
Miłosz Andrzej Huber ◽  
Elzbieta Bielecka ◽  
Metin Soycan ◽  
Wojciech Przegon ◽  
...  
Keyword(s):  
Complex Terrain ◽  
New Method ◽  
Data Conversion ◽  
Whole Process ◽  
3D Space ◽  
Terrain Models ◽  
Statistical Pattern ◽  
Natural Terrain ◽  
Geometry Method

AbstractMany problems in the analysis of natural terrain surface shapes and the construction of terrain maps to model them remain unsolved. Almost the whole process of thematic interpretation of aerospace information consists of a step-by-step grouping and further data conversion for the purpose of creating a completely definite, problematically oriented picture of the earth’s surface. In this article, we present application of a new method of drawing 3D visibility networks for pattern recognition and its application on terrain surfaces. For the determination of complexity of 3D surface terrain, we use fractal geometry method. We use algorithm for constructing the visibility network to analyse the topological property of networks used in complex terrain surfaces. Terrain models give a fast overview of a landscape and are often fascinating and overwhelmingly beautiful works by artists who invest all their interest and an immense amount of work and know-how, combined with a developed sense of the portrayed landscape, in creating them. At the end, we present modelling of terrain surfaces with topological properties of the visibility network in 3D space.

Three-dimensional numerical modeling of pollutant transport at local-scale complex terrain

2008 ◽  
Vol 35 (6) ◽  
pp. 1016-1023 ◽  
Author(s):  
K.S. Suh ◽  
M.H. Han ◽  
S.H. Jung ◽  
C.W. Lee
Keyword(s):  
Numerical Modeling ◽  
Complex Terrain ◽  
Three Dimensional ◽  
Pollutant Transport ◽  
Local Scale
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