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 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

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 Geospatial analysis-based approach for assessing urban forests under the influence of different human settlement extents in Ibadan city, Nigeria

2020 ◽  
Vol 12 (4) ◽  
pp. 959-971
Author(s):  
Oluwayemisi S. OLOKEOGUN ◽  
Abiodun O. OLADOYE ◽  
Oluwatoyin O. AKINTOLA
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Forest Cover ◽  
Urban Forest ◽  
Urban Forests ◽  
Remotely Sensed ◽  
Google Earth ◽  
Human Settlement ◽  
Remotely Sensed Data ◽  
The Status

Urban forests are an essential component of urban areas as they provide many environmental and social services that contribute to the quality of life in cities. Urban forests in most cities of Nigeria are gradually becoming bitty as a result of urbanization activities, thereby posing adverse effects. In this study, we assessed the changes in the urban forests cover under the influence of different human settlement (HS) extents across the urban area of Ibadan city using remotely sensed data. The pattern of change(s) in the urban forests cover over 20 years were examined by analysing and manipulating Landsat and Sentinel-2 datasets using Google Earth Engine, ArcGIS 10.1, and Erdas 2014 software. The extents of human settlement (for the year 2000, 2005, 2010, 2015, and 2020) were extracted (from Landsat datasets), analysed, and mapped to evaluate the status of the urban forests cover under different human settlement extents. The result reveals a substantial land cover changes within the urban area of Ibadan.  The urban forest cover decreased from 24.14% to 7.99%. Also, there is a significant decrease in the urban forests cover as a result of a substantial increase in human settlement extent (102,806 to 122,572 pixels). The study provides an opportunity to map the status of urban forest cover and extents of HS in a developing city using remotely sensed data and applications of GIS tools.

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
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