Spatially delineating actual and relative evapotranspiration from remote sensing to assist spatial modeling of non-point source pollutants

1999 ◽  
pp. 179-196 ◽  
Author(s):  
W. G. M. Bastiaanssen ◽  
R. Sakthivadivel ◽  
A. Van Dellen
Keyword(s):  
Remote Sensing ◽  
Point Source ◽  
Spatial Modeling

A Robust Remote Sensing–Spatial Modeling–Remote Sensing (R-M-R) Approach for Flood Hazard Assessment

2019 ◽  
pp. 391-410 ◽  
Author(s):  
Stathopoulos Nikolaos ◽  
Kalogeropoulos Kleomenis ◽  
Dimitriou Elias ◽  
Skrimizeas Panagiotis ◽  
Louka Panagiota ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hazard Assessment ◽  
Spatial Modeling ◽  
Flood Hazard ◽  
Flood Hazard Assessment

Application of sky-view factor for the visualisation of historic landscape features in lidar-derived relief models

Antiquity ◽  
2011 ◽  
Vol 85 (327) ◽  
pp. 263-273 ◽  
Author(s):  
Žiga Kokalj ◽  
Klemen Zakšek ◽  
Krištof Oštir
Keyword(s):  
Remote Sensing ◽  
Point Source ◽  
Test Site ◽  
Lidar Data ◽  
View Factor ◽  
Diffuse Light ◽  
Sky View Factor ◽  
Usual Form ◽  
Aerial Mapping ◽  
Historic Landscape

Aerial mapping and remote sensing takes another step forward with this method of modelling lidar data. The usual form of presentation, hill shade, uses a point source to show up surface features. Sky-view factor simulates diffuse light by computing how much of the sky is visible from each point. The result is a greatly improved visibility — as shown here by its use on a test site of known topography in Slovenia.

scholarly journals Discrimination of Soil Types in Southern Kuwait Using Remote Sensing Classification Techniques on Landsat 8 ETM+ Satellite Images

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Waleed Khalid Al -Azemi
Keyword(s):  
Remote Sensing ◽  
Spatial Modeling ◽  
Satellite Images ◽  
Soil Classification ◽  
Oil Fields ◽  
Landsat 8 ◽  
Remote Sensing Classification ◽  
Desert Areas ◽  
Remote Sensing Techniques ◽  
And Performance

This study focuses on satellite data Landsat 8 ETM+ and application of remote sensing techniques to delineate various kinds of soils using digital image processing in the southern part of Kuwait. Southern part of Kuwait comprises desert plains, oil fields, sabkha and wafra farms. In this study, satellite imagery is used to achieve rapidly to the actual soil classification. Considering the inaccessibility of the desert areas, RS is essential to accommodate spatial variability and information. Spatial modeling involves the use of GIS for representation of the conceptual model and performance of simple mathematical computations on the stored GIS object attributes for displaying the results spatially.

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