
Sunbeam R
Geospatial wizardry: analyze, code, export, repeat!
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Portfólio
Experiência profissional
GIS Specialist
NGOs and private organizations • Período integral
Jan 2012 - Aug 2023 • 11 yrs 7 mos
I began with remote sensing analysis (utilizing Landsat, RapidEye, LISS-3, Sentinel-2, GeoEye, and WorldView) and land cover classification across approximately 2,100 hectares of forest and wetland sites, employing OBIA to report gradual quarterly biophysical changes from 2012 to 2013. I managed ArcGIS Enterprise for web and smartphone-based early warning tools - contributed to smartphone-based DSS using ArcGIS Server REST API and spatial modeling during 2018-20. I conducted spatial analysis on climate models (CMIP6 SSP2-4.5) data to study climate scenarios and optimized a database for climate indices and forecasts in 2023. Currently, I am researching hourly ERA5-Land data (since 1950) covering ~2 million km² area in North America to extract seasonal climate patterns using Python (xarray, rasterio).
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kushu1940
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kushu1940
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kushu1940
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kushu1940
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kushu1940
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Sunbeam R did an OUTSTANDING job with the data visualization, exceeding all expectations! Their proactive communication made the entire process smooth and stress-free 🙌. Highly recommend working with them!
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