Rami Alouta

Rami is a Solution Engineer on the National Government team supporting nonprofit global organizations and land administration teams out of the Rotterdam office. He has over 5 years of GIS experience and has been working with Esri since 2016 previously as a Platform Configuration Engineer with Professional Services out of the Dubai office. He has a degree in Landscape Architecture from the American University of Beirut.

Posts by this author
Building Change Detection in the Region of Cataluña

Revolutionizing GIS: Streamlining Change Detection for Mapping Agencies.

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Multiresolution Object Detection with Text SAM

This blog post will walk you through the process of running multi resolution deep learning over a range of cell sizes.

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Deep Learning with ArcGIS Pro Tips & Tricks: Part 1

Prepare your environment to run out-of-the-box deep learning geoprocessing tools in ArcGIS Pro.

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Fine-Tune a Pretrained Deep Learning Model

Fine-tune Esri’s existing deep learning models with your own training data to improve accuracy for your area of interest.

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Deep Learning with ArcGIS Pro Part 3: QA/QC Extracted Features

Run Quality Assurance/ Quality Control (QA/QC) workflows on your inferenced features such as building footprints.

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Deep Learning with ArcGIS Pro Tips & Tricks: Part 2

Evaluate your imagery for deep learning and get started using out-of-the-box models such as building footprint extraction.

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