projects – Ethel Ogallo

Scaling Machine Learning using Spark

This project demonstrates how to scale machine learning workflows using Apache Spark on AWS cloud infrastructure.

Machine Learning: Crop Yield Estimation

Machine Learning

This project develops a machine learning workflow for a supervised regression task.

Agricultural Land Cover Change Detection using SITS in eCognition

Application Development (Earth Observation)

This project develops a GUI within eCognition to facilitate object-based time series analysis for detecting agricultural land cover changes.

PySARFlow

Practice Software development(Python)

PySARFlow is an open-source Python library designed to streamline the preprocessing of Synthetic Aperture Radar (SAR) data.

Wetland Inundation

Analysis and Modelling (RS)

This project utilizes Digital Earth Africa’s STAC catalog to assess wetland dynamics in the Zambezi Delta, Mozambique.

Design and Implementation of a Spatial Database

Spatial Databases

This project involved designing and implementing a spatial database backend for a WebGIS application supporting a city festival.

Big Data

Digital Earth-Big Earth Data Concepts

This project highlights the use of cloud-based platforms for big data analytics in Earth Observation.

Spatial Data Infrastructure (SDI) for Gender Employment Trends in Austria

This project focuses on designing a Spatial Data Infrastructure (SDI) to integrate and visualize gender-disaggregated employment data across Austria.

OBIA for estimating building density

Spatial Thinking

This project employs Object-Based Image Analysis (OBIA) to assess building density patterns, focusing on the Kakuma refugee camp in Kenya.

Assessing Post-Eruption Surface Displacement with Sentinel-1 InSAR

Advanced Remote Sensing

This project applies Interferometric Synthetic Aperture Radar (InSAR) using Sentinel-1 data to assess ground deformation.

Object Features For Classification in Remote Sensing

Advanced Remote Sensing

This project applies object-based image analysis (OBIA) in eCognition to move beyond traditional pixel-based methods.