Geo Technology

13/04/2026

I developed a Soil Series Map of Leyte, Philippines using QGIS, applying geospatial analysis techniques to classify and visualize the spatial distribution of soil types. The project involved data preprocessing, attribute management, and thematic mapping to accurately represent soil variability based on characteristics such as clay, sand, and formation etc.

The final map was designed with a clear layout, including legend, scale, and essential cartographic elements, making it suitable for agricultural planning, land use management, and environmental assessment. Through this project, I strengthened my skills in GIS mapping, spatial analysis, and data visualization using QGIS.

31/03/2026

Spatial Assessment of Vegetation Cover Change in the Kamoa Mining Concession, Kolwezi (DRC) 🌍📊

This map illustrates the spatial patterns of vegetation cover change within the Kamoa mining concession area in Kolwezi, Democratic Republic of Congo (DRC). Using geospatial analysis 🛰️, the study highlights three major land cover classes: dense vegetation 🌳 (green), stable vegetation 🌾 (light yellow), and areas of vegetation loss 🔴.

The results show that while large portions of the region still retain dense vegetation, there are significant clusters of vegetation loss ⚠️, particularly around the mining concession area. The zoomed inset 🔍 further emphasizes localized environmental impacts, indicating how mining activities are influencing land cover dynamics.

Overall, this spatial assessment provides valuable insights for environmental monitoring 📡, sustainable land management ♻️, and informed decision-making regarding mining operations ⛏️ and ecological conservation 🌱.

30/03/2026

🌎 Exploring Earth with Landsat Satellites

Landsat satellites, a joint mission by NASA and USGS, have been providing high-resolution, multi-decadal Earth imagery for over 50 years! These datasets are invaluable for tracking land use changes, urban growth, agriculture, water resources, and environmental monitoring.

With free and open access, Landsat data empowers GIS professionals, researchers, and decision-makers to make data-driven, sustainable choices for our planet.

💡 Key Insight: Consistent, long-term satellite imagery = Smarter environmental & development planning 🌱

📩 Feel free to connect for GIS projects, environmental studies, or remote sensing collaborations!

28/03/2026

🌍 Unlocking the Power of Sentinel Satellites for Earth Observation
Sentinel satellites, developed under the Copernicus Programme by ESA, are transforming how we monitor our planet. From high-resolution imagery to real-time environmental insights, these missions provide free and open data for research, planning, and decision-making.

🔍 From agriculture monitoring to disaster management, and from ocean analysis to air quality tracking, Sentinel data plays a crucial role in modern GIS and Remote Sensing applications.

As GIS professionals, leveraging this data allows us to create smarter, data-driven solutions for real-world challenges. 🌱

💡 Key Takeaway: Open satellite data = Better analysis = Smarter decisions

📩 Feel free to reach out for any GIS projects or collaborations.

23/02/2026

🌍 Monitoring Evapotranspiration over Vietnam using Google Earth Engine

I recently conducted a remote sensing–based analysis of Evapotranspiration (ET) over Vietnam using Google Earth Engine and MODIS satellite data.

In this project:
🔹 Processed satellite-derived ET datasets for Vietnam
🔹 Performed spatial analysis to understand water loss patterns
🔹 Generated ET distribution maps using cloud-based geospatial tools
🔹 Analyzed evapotranspiration trends to support water resource insights

Evapotranspiration is a key indicator in understanding water balance, agricultural planning, and climate dynamics. This project demonstrates how Google Earth Engine enables efficient large-scale environmental monitoring and geospatial analysis.

Through this work, I strengthened my skills in:
✔ Remote Sensing
✔ Google Earth Engine (GEE)
✔ GIS & Spatial Analysis
✔ Hydrological & Climate Data Interpretation

Looking forward to applying geospatial technologies for sustainable environmental management and data-driven decision-making.

10/02/2026

🌱 Discover How GIS Helps Measure Forest Carbon!
Learn how Geographic Information Systems (GIS) and remote sensing are revolutionizing forest biomass and carbon sequestration estimation. Explore methods, tools, and practical applications for sustainable forest management and climate change mitigation.

Read more here: https://geotechnology10229.blogspot.com/2026/02/forest-biomass-and-carbon-sequestration.html

Estimate forest biomass and carbon sequestration using GIS for climate-friendly forest management.

07/02/2026

Visualization of Earthquake Magnitudes Across New York State (2011–2025) 🌍
This project presents an in-depth spatiotemporal visualization of earthquake activity across New York State from 2011 to 2025. An animated geospatial map is employed to effectively illustrate the spatial distribution, temporal frequency, and magnitude variations of recorded seismic events, providing clearer insight into regional seismic patterns and behavior.

The primary objective of this work is to demonstrate the application of advanced data visualization techniques for the analysis and communication of complex geophysical datasets. By integrating temporal dynamics with spatial analysis, the project highlights how animated mapping can enhance data-driven decision-making and improve the interpretability of scientific information.

This project demonstrates strong proficiency in geospatial analysis, data visualization, and analytical reasoning, with relevance to GIS applications, environmental analysis, and data-centric research workflows.

02/02/2026

🌍 Spatial Distribution of PM2.5 in the UAE (2015–2022)

I analyzed yearly PM2.5 concentrations across the United Arab Emirates to understand air quality trends over the last eight years. This study highlights regions with higher particulate matter levels and provides insights for environmental monitoring and public health strategies.

🔹 Data & Tools:

Google Earth Engine (GEE)

Satellite-derived PM2.5 datasets

Geospatial analysis & visualization

📊 The results can help policymakers, researchers, and environmentalists track air pollution, assess health risks, and design mitigation strategies for a cleaner, healthier UAE.

02/02/2026

Big shout out to my new rising fan! Nomi Awan