scholarly journals Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya

2006 ◽  
Vol 1 (1) ◽  
pp. 49 ◽  
Author(s):  
Uriel Kitron ◽  
Julie A. Clennon ◽  
M. Carla Cecere ◽  
Ricardo E. Gürtler ◽  
Charles H. King ◽  
...  
Keyword(s):  
Chagas Disease ◽  
Remotely Sensed ◽  
Fine Scale ◽  
Remotely Sensed Data

Building of a Global Human Settlement Layer from Fine-Scale Remotely Sensed Data

2014 ◽  
pp. 143-168
Author(s):  
Martino Pesaresi ◽  
Vasileios Syrris ◽  
Daniele Ehrlich ◽  
Matina Halkia ◽  
Thomas Kemper ◽  
...  
Keyword(s):  
Remotely Sensed ◽  
Fine Scale ◽  
Human Settlement ◽  
Remotely Sensed Data

scholarly journals Fine-scale vertical position as an indicator of vegetation in alkali grasslands – Case study based on remotely sensed data

Flora ◽  
2014 ◽  
Vol 209 (12) ◽  
pp. 693-697 ◽  
Author(s):  
Balázs Deák ◽  
Orsolya Valkó ◽  
Cici Alexander ◽  
Werner Mücke ◽  
Adam Kania ◽  
...  
Keyword(s):  
Remotely Sensed ◽  
Vertical Position ◽  
Fine Scale ◽  
Remotely Sensed Data

scholarly journals NICHE DIFFERENTIATION AND FINE-SCALE PROJECTIONS FOR ARGENTINE ANTS BASED ON REMOTELY SENSED DATA

2006 ◽  
Vol 16 (5) ◽  
pp. 1832-1841 ◽  
Author(s):  
Núria Roura-Pascual ◽  
Andrew V. Suarez ◽  
Kristina McNyset ◽  
Crisanto Gómez ◽  
Pere Pons ◽  
...  
Keyword(s):  
Niche Differentiation ◽  
Remotely Sensed ◽  
Fine Scale ◽  
Remotely Sensed Data ◽  
Argentine Ants

THE ROLE OF REMOTE SENSING DATA FOR COASTAL ZONE MONITIORING AND MANAGEMENT (CASE STUDY FOR THE EAST PART OF GULF OF FINLAND)

2017 ◽  
Author(s):  
Nikifor Ostanin ◽  
Nikifor Ostanin
Keyword(s):  
Remote Sensing ◽  
Coastal Zone ◽  
Environmental Changes ◽  
Rapid Development ◽  
Water Environment ◽  
Remote Sensing Data ◽  
Remotely Sensed ◽  
Gulf Of Finland ◽  
Coastal Protection ◽  
Remotely Sensed Data

Coastal zone of the Eastern Gulf of Finland is subjected to essential natural and anthropogenic impact. The processes of abrasion and accumulation are predominant. While some coastal protection structures are old and ruined the problem of monitoring and coastal management is actual. Remotely sensed data is important component of geospatial information for coastal environment research. Rapid development of modern satellite remote sensing techniques and data processing algorithms made this data essential for monitoring and management. Multispectral imagers of modern high resolution satellites make it possible to produce advanced image processing, such as relative water depths estimation, sea-bottom classification and detection of changes in shallow water environment. In the framework of the project of development of new coast protection plan for the Kurortny District of St.-Petersburg a series of archival and modern satellite images were collected and analyzed. As a result several schemes of underwater parts of coastal zone and schemes of relative bathymetry for the key areas were produced. The comparative analysis of multi-temporal images allow us to reveal trends of environmental changes in the study areas. This information, compared with field observations, shows that remotely sensed data is useful and efficient for geospatial planning and development of new coast protection scheme.

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