Profile image of ReflectColor
@ReflectColor
Flag of Serbia Pancevo, Serbia
Member since April, 2007
2 Recommendations

ReflectColor 

From 2007 I am engaged in development of solution based on: • WebGIS: Google Maps, OpenStreetMap, Bing Maps and MapServer. • GIS: ESRI ArcGIS, QGIS and ENVI (Remote Sensing and Geostatistics). • Spatial Databases: PostgreSQL/PostGIS, MongoDB and Fusion Tables. Please be sure to take a look at the reviews section, this tells everything about the quality of service and the skillset.
$15 USD/hr
34 reviews
6.2
  • 84%Jobs Completed
  • 100%On Budget
  • 100%On Time
  • 23%Repeat Hire Rate

Recent Reviews

Experience

GIS Engineer

Oct 2007

I have over 5 years experience working on: 1) GIS (Geographical Information Systems) desktop projects: ArcGIS and Quantum GIS. 2) WebGIS (Web Geographical Information Systems) projects: Google Maps, Bing Maps and MapServer. 3) Spatial databases projects: MS SQL 2008 and PostGIS/PostgreSQL.

Education

M.Sc. Information Systems and Technologys (Faculty of Organizational Sciences)

2009 - 2011 (2 years)

Certifications

Master's degree in Information Systems and Technology (2011)

Faculty of Organizational Sciences, University of Belgrade

Publications

Spatial modelling of soil erosion potential in a mountainous watershed of South-eastern Serbia

This work aims at the assessment of soil erosion rate and its spatial distribution in hilly mountainous Nisava River Basin (South-eastern Serbia) with a surface area of approximately 2,848 km2. The study was conducted using Universal Soil Loss Equation (USLE) model due to its modest data demand and easy comprehensible structure. The erosion factors of USLE were collected and processed through a GIS-based approach. Landsat 7 Enhanced Thematic Mapper (ETM+) image and normalized difference vegetation index (ND

Application of USLE, GIS, and Remote Sensing in the Assessment of Soil Erosion Rates in Southeastern Serbia

The assessment of soil erosion rate and its spatial distribution in the hilly-mountainous Nisava River basin was conducted by Universal Soil Loss Equation (USLE) model through a GIS-based approach. A Landsat 7 Enhanced Thematic Mapper (ETM+) image and normalized difference vegetation index (NDVI) were used for the determination of crop management factor. The average annual soil loss was estimated at 13.1 t·ha-1·yr-1, classifying the Nisava River basin under the high erosion rate category. Abou