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40 percent of the world's population are presently living in coastal areas or along the main rivers. Taking into account that the vulnerability of these areas is increasing due to sea-level rise and c...
The accurate estimation of deposits adhering on insulators is critical to prevent pollution flashovers which cause huge costs worldwide. The traditional evaluation method of insulator contaminations (...
State of the art for the investigation of the settlements' extension and their temporal change is either conventional mapping (field work, cadastral maps, topographic and thematic maps) or aerial phot...
Radar interferometry allows for Earth-crust deformation mapping with the use of satellite images, without the necessity of expensive on-site measurements. Its accuracy may even reach several mm/yr in ...
SAR images of river inundation prove to be very relevant for operational flood management. However, common exploitation of satellite images of floods is generally restricted to a flood extent extracti...
Similar datasets (inventory plots, stand maps and lidar data) were available for study sites in the USA and Germany. These datasets are grouped or hierarchical in that several sample plots are located...
Much ecological analysis requires detailed spatial observation, traditionally conducted through field measurement. Remote sensing has been tested extensively as a means of ecological investigation, bu...
FORMALISING THE GEOGRAPHIC DATABASE GENERALIZATION PROCESS BY MEANS OF A CONFLICTS/OPERATIONS GRAPH.
It is an important subject to accurately measure forests that serve as sinks since the global warming is taken up as a serious problem in recent years. Tree height and so on have so far been measured ...
In this paper forest inventory methods which are based on satellite remote sensing and laser-scanner data will be introduced. It will be demonstrated in how far conventional terrestrial inventories a...
This paper examines to what extent a new approach to the production of maps can be taken using radar remote sensing in the cartography of mountainous areas. This will be analyzed with a test area of t...
K-means is definitely the most frequently used partitional clustering algorithm in the remote sensing community. Unfortunately due to its gradient decent nature, this algorithm is highly sensitive to ...
Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL) created by Leishmania is a special parasitic disease which can ...
Characterisation of Drought Stress of Maize and Wheat Canopies by Means of Spectral Resolved Laser Induced Fluorescence.

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