EE Health Care Facilities Map
An interactive mapping application for Estonia that visualizes healthcare facilities and population density, supporting healthcare planning and resource allocation.
eSurvey Mobile Application and Web Portal
Customisable, pre-loaded crop development activity calendar, with task assignment, scheduling and audit for field managers.
Drone Path Mapping – Shapely
Calculating and Mapping drone paths using shapely and Greedy Salesman
Infrastructure-Weighted Analysis of Population Vulnerability to Landslides
A multi-criteria assessment of landslide susceptibility, infrastructure gaps, and population density in Khyber Pakhtunkhwa (KPK), Pakistan. Data & Skills Data & Tools: NASA’s LHASA 2.0 Landslide Data, WorldPop, HOTOSM Roads, QGIS, Python (Network Analysis) Skills & Knowledge Gained: Study Overview This study evaluates community vulnerability to landslides in Khyber Pakhtunkhwa (KPK), Pakistan, focusing on the interplay …
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Movement Between Territorial Communities in 2018, Estonia
Overview This project explores migration dynamics across Estonia&aposs territorial communities in 2018, highlighting key urban centers and tracing migratory flows influenced by job opportunities, lifestyle changes, and social networks. Design & Execution Beyond data analysis, the map serves as an example of artistic cartography. It combines advanced GIS techniques with creative visualization to transform raw …
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Spatio-Temporal Changes in Optical Water Quality Parameters
Unraveling the dynamics of Colored Dissolved Organic Matter (CDOM) and Optical Water Types (OWT) using cutting-edge satellite data and advanced machine learning techniques. Study Overview Discover the dynamic interplay between Optical Water Types and Colored Dissolved Organic Matter in Lake Võrtsjärv. Leveraging cutting-edge Sentinel-2 imagery, real-time meteorological data, and advanced machine learning, this study reveals …
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Estimating Sowing Dates using S2 Time-Series
Data & Tools: Skills & Knowledge Gained: This project leverages Sentinel-2 time-series data to estimate the optimal sowing date for crops. Instead of using machine learning, we performed a detailed time-series analysis. The workflow involved cloud masking and smoothing the data using a 15-day moving average window, followed by calculating key vegetation indices. Finally, we …
Visualizing 3D Point Cloud Data using Cesium
Skills & Knowledge Gained: This project focuses on visualizing 3D point cloud data in an interactive 3D environment using CesiumJS. By embedding Cesium’s powerful geospatial capabilities into a web interface, this application allows users to explore complex 3D point data, such as urban models, terrain features, and sensor data, directly within their browsers. Explore the …
Global Climate Data
Analyzing Seasonal Dynamics in KPK Tools Skills & Knowledge Gained This project investigates the climatic patterns in Khyber Pakhtunkhwa (KPK), a region in northwestern Pakistan characterized by a diverse topography—from high mountainous areas to vast plains. By analyzing datasets spanning several decades (1970–2000), the study examines seasonal variations in temperature, precipitation, and solar radiation. This …