Resume Details: Anu Amulu |
|
|
| Address : |
India |
Email : |
[email protected] |
Web : |
http:// |
Phone : |
|
| Fax : |
|
|
|
Willng to Relocation : |
Yes |
Desire Location: |
North Carolina |
Date Available : |
2-1-2016 |
Desire job Title:: |
Remote Sensing and GIS |
Year of Experience: |
4 |
|
| |
Education : |
|
Degree Institute Board/University % of Marks
M.Sc (Geo-spatial Science &Technology) I.S.T, J.N.T.U Campus. Hyderabad. J.N.T. University 76.7
B.Sc (Genetics, Micro-biology) M.N.R.Degree College, Hyderabad. Osmania University 66.5
|
| |
GIS Skills : |
|
� Very Good experience in Arc-GIS based Spatial Decision Support System & Quantum GIS.
� Excellent Business communication, inter-personnel and team co-ordination skills.
� Hands on experience in various Mapping and Image Processing Software Skills like ERDAS 8.5, 8.7, 9.1, Arc GIS 9, 9.1, 9.2, 9.3, 10 Quantum GIS & Auto CAD Map, ENVI Classic, Geomatica.
� Strong knowledge in Image Interpretation for analyzing the Impact and Temporal Changes in the LULC.
� Very Good Knowledge in GPS, DGPS.
� Experience in Knowledge Transition to peers.
� Conceptual understanding of Remote Sensing and GIS Mapping Experience in planning.
|
| |
Work Experience : |
|
� Geo-reference the Toposheets and Satellite Images.
� Digitize the Toposheet and Prepare the Different Layers.
� Prepare the base layers such as Base maps, Contour maps, Drainage maps from which main layers are prepared (TIN, DEM, SLOPE, ASPECT, Flow Direction, Flow Accumulation).
� Using thematic layers final action plan map prepared.
� Total of 18 layers are prepared in APIB project viz., SOIL, GEOMORPHOLOGY, LAND DEGRADATION, Land Irrigation, Land Productivity, Soil Erosion etc., in 1:10000m scale.
� Interpret the Satellite data and Prepare of LU/LC maps Supervised, Unsupervised Classification.
� Prepared the NDVI and Change Detection Maps for detecting the temporal changes.
� Prepare the Final Layout Maps.
� Trained national and international participants on ArcGIS, ERDAS, QGIS and GPS (Theoretical and Practical).
� Collecting data from Flux tower.
� Measurements should be integrated appropriately using modelling approaches.
� Enable upscaling in both Spatial and Temporal domains.
� Identifying the patterns of rice and cotton ecosystem responses in terms of CO2 flux.
|
|
|
|
| |
| |
|
| |
|
