Caraga Center for Geo-Informatics

23/06/2026

📢 CALL FOR PROPOSALS!

🌏 GeoVision Frontier Faculty Research Incubation Program 2026

The Caraga Center for Geo-informatics (CCGeo), in collaboration with Far East University (South Korea), invites full-time faculty members of Caraga State University to submit research concept proposals for the GeoVision Frontier Faculty Research Incubation Program 2026.

This initiative aims to transform research ideas into publication-oriented outputs through technical advisory collaboration in the fields of remote sensing, image processing, and artificial intelligence (AI).

🔍 Possible Research Areas
✅ Object-based image classification and spectral analysis
✅ Water body extraction and environmental monitoring
✅ Building detection and urban analysis
✅ Deep learning and semantic segmentation
✅ Image registration and terrain reconstruction
✅ SAR and optical image fusion
✅ AI-assisted remote sensing workflows
✅ Other related topics

📌 Program Highlights

🔹 Technical advisory collaboration with Far East University (South Korea)
🔹 Focus on remote sensing, image processing, and AI applications
🔹 Opportunity to present research outputs at GeoVision Frontier Seminar II (January 2027)
🔹 Presentation at the IWIC 2027 International Workshop (May 2027)
🔹 Potential publication in SCOPUS-indexed journals

👥 Who May Apply?
Full-time faculty members of Caraga State University. Applicants are encouraged to form research groups consisting of 2–3 members with common research interests.

📅 Submission Deadline: 08 July 2026

📝 Proposal Template: https://docs.google.com/document/d/1Vq1z5nXll_2CvtJET6joA26X_-teflDu/edit?usp=sharing&ouid=116116553094951037554&rtpof=true&sd=true

📤 Submit Your Proposal Here: https://docs.google.com/forms/d/e/1FAIpQLSckKLQrZiY_JJ9YMnOCrKqPWi6cW6ZG2KWcZK-lUfOfY_rQqg/viewform?usp=preview

🌐 Together, we innovate. We do research. We make an impact.

25/05/2026

🌍 CALL FOR ABSTRACTS | Geo-STEMS 2026 🌍

The Caraga Center for Geo-informatics invites researchers, practitioners, academicians, policymakers, industry experts, and students to submit abstracts for the:

🎓 3rd International Geo-STEMS: GeoSpatial Technologies for Earth Monitoring Symposium 2026

with the theme:
“Transforming Innovation to Impact: Advancing Research and Development for Sustainable and Intelligent Futures”

📅 Date: August 25–27, 2026
📍 Venue: Caraga State University – Main Campus, Ampayon, Butuan City, Caraga Region, Philippines

Geo-STEMS 2026 is one of the flagship conferences of the LIKHA Summit 2026 and serves as an international platform for experts, researchers, practitioners, policymakers, and industry partners to share advancements and innovations in:

🛰️ Geospatial Technologies
🌏 Earth Observation and Monitoring
🤖 Artificial Intelligence and Digital Innovations in Spatial Technologies
🌱 Environmental Sustainability using Geospatial Technologies
🌊 Disaster Risk Reduction and Resilience using Geospatial Technologies
📊 Spatial Analytics and Decision Support Systems

The symposium aims to foster interdisciplinary collaboration and strengthen research and development networks that contribute to sustainable and intelligent futures.

📌 Important Dates
🗓️ Deadline for Paper Submission: June 26, 2026
🗓️ Conference Proper: August 25–27, 2026

📄 Accepted papers will be published in the CSU local journal, Advances in Engineering and Information Sciences.

📄 Paper Template:
https://bit.ly/ConferencePaperForms

📄 Submission Link:
https://docs.google.com/forms/d/e/1FAIpQLScfAedvso576R74zh9vlOhphKpjmXXU5SPVoYCJE6aj3yTogQ/viewform

📢 Submit your abstracts and be part of the growing international community advancing geospatial science, innovation, and sustainability.

09/03/2026

#𝐏𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐀𝐥𝐞𝐫𝐭

We are pleased to announce the publication of CCGeo’s research entitled 𝐀 𝐒𝐩𝐚𝐭𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐨𝐟 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐝 𝐋𝐨𝐬𝐬 𝐀𝐜𝐫𝐨𝐬𝐬 𝐭𝐡𝐞 𝐔𝐫𝐛𝐚𝐧–𝐑𝐮𝐫𝐚𝐥 𝐆𝐫𝐚𝐝𝐢𝐞𝐧𝐭: 𝐀𝐩𝐩𝐥𝐲𝐢𝐧𝐠 𝐃𝐄𝐆𝐔𝐑𝐁𝐀 𝐢𝐧 𝐁𝐮𝐭𝐮𝐚𝐧 𝐂𝐢𝐭𝐲, 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬 (𝟐𝟎𝟏𝟎–𝟐𝟎𝟐𝟎) in the 𝐽𝑜𝑢𝑟𝑛𝑎𝑙 𝑜𝑓 𝐸𝑐𝑜𝑠𝑦𝑠𝑡𝑒𝑚 𝑆𝑐𝑖𝑒𝑛𝑐𝑒 𝑎𝑛𝑑 𝐸𝑐𝑜-𝐺𝑜𝑣𝑒𝑟𝑛𝑎𝑛𝑐𝑒 (𝐽𝐸𝑆𝐸𝐺).

This study examined how agricultural land in 𝐁𝐮𝐭𝐮𝐚𝐧 𝐂𝐢𝐭𝐲 changed from 2010 to 2020 as urban areas continued to expand. In simple terms, the research looked at where farmland is being lost as development moves outward from the city.

The findings show that Butuan lost around 49.8 km² of agricultural land over the decade, equivalent to about 9.6% of its total agricultural land. The most significant losses were observed not only in urban areas, but especially in the rapidly developing zones between urban and rural communities. These areas remain important because they still contain substantial farmland, yet they are increasingly affected by expansion and land conversion.

The study underscores the importance of improved land-use planning and monitoring to help manage urban growth, protect agricultural land, and support long-term food security and sustainability.

Link to the paper:
https://doi.org/10.54610/jeseg.v7i2.197
Journal page:
https://journals.carsu.edu.ph/JESEG/article/view/197
PDF:
https://journals.carsu.edu.ph/JESEG/article/view/197/164

07/02/2026

One of the CCGeo's collaborative research, MAHFA Project is looking for 1 Undergraduate Thesis Students Assistant for Remote Sensing and GIS-related Studies. Please see details in the post.

28/01/2026

Happening now:

The Caraga Center for Geoinformatics (CCGeo), in collaboration with Far East University in South Korea, is conducting GeoVision Frontier 2026, an International Training-Seminar on AI-driven Image Processing, Computer Vision, and Remote Sensing Collaboration, bringing together participants from various institutions who are physically gathered at Caraga State University while engaging with international resource person, Professor Chul-Soo Ye, delivering expert lectures through Zoom, streamed live at the venue to facilitate collaborative learning, technical discussions, and knowledge exchange in advanced geospatial and AI-enabled technologies.

26/01/2026

CSU to Host GeoVision Frontier 2026: International Training on AI and Image Processing

Caraga State University (CSU), through the Caraga Center for Geo-informatics (CCGeo), will host GeoVision Frontier 2026: International Training-Seminar on AI-driven Image Processing, Computer Vision, and Remote Sensing Collaboration on January 28–29, 2026. The training will be participated in by both faculty members and students, highlighting CSU’s commitment to interdisciplinary and research-oriented learning.

The two-day international training will be conducted in collaboration with Far East University (FEU) of South Korea, with resource person, Professor Chulsoo Ye, joining online, as part of the continuing academic cooperation between the two institutions. Prof. Ye, Chair of the Department of AI Computer Engineering, will serve as the primary resource person for the training.

The GeoVision Frontier 2026 was conceptualizes by Prof. Ye to introduce to the participants the fundamentals and practical applications of digital image processing, computer vision, and AI-assisted tools relevant to remote sensing and geospatial analysis. The training supports CSU’s broader initiatives in research capacity building, digital innovation, and internationalization.

11/10/2025

09/10/2025

🌏 2025 Cebu Earthquake: Possible Infrastructure Damage Areas

The Philippine Space Agency (PhilSA) has released satellite-derived maps identifying areas in Cebu that may have sustained infrastructure damage following the magnitude 6.9 earthquake on 30 September 2025.

Using Sentinel-1C radar imagery acquired on 6 October 2025 (05:30 AM), PhilSA’s analysis detected ground surface changes that could indicate structural impacts.

We developed an interactive map on Google Earth Engine to visualize these possible damage zones and support ongoing post-earthquake assessment efforts.

🛰️ Explore the map here 👉 https://ee-jrsantillan.projects.earthengine.app/view/cebu-earthquake-possible-infrastructure-damage-areas

📊 Detected possible damage areas (polygons): 3,329
📏 Total area (union): approx. 1.54 km²

⚠️ Notice/Disclaimer:
The highlighted polygons indicate areas with POSSIBLE infrastructure damage derived from radar-detected ground changes. Accuracy is subject to ground validation.

The data is provided by Philippine Space Agency (PhilSA) to support post-disaster operations and other non-commercial uses.

🔗 Related Resources from PhilSA:

🌐 High-resolution map & shapefiles: https://bit.ly/earthquake_20251006_s1c
🛰️ Request satellite data (DALoI): https://bit.ly/philsadaloi
ℹ️ About DALoI: https://philsa.gov.ph/daloi

09/10/2025

The Philippine Space Agency (PhilSA) generated maps showing areas with possible infrastructure damage in Cebu following the 6.9-magnitude earthquake.

Using Sentinel-1C satellite imagery captured on 06 October 2025 (5:30 AM), the areas were identified by analyzing changes on the ground detected through radar data. The map can be used to support post-disaster operations and other non-commercial uses.

Please be advised that the accuracy of this map is still subject to ground validation. Access the high-resolution map and shapefiles here: https://bit.ly/earthquake_20251006_s1c

You can send your satellite data requests here: bit.ly/philsadaloi, read more: philsa.gov.ph/daloi

08/10/2025

🌍 Buildings within the 25-km Radius of the 2025 Cebu Earthquake Epicenter 🏠📍

Using Google Earth Engine, we mapped and analyzed the number and total footprint area of buildings located within a 25 km radius of the 2025 Cebu earthquake epicenter (11.136° N, 124.127° E).

📊 Preliminary Results:
🏘 ~100,900 buildings fall within the specified radius.
📐 Total building footprint area: about 611 ha (6.1 km²).
⚙️ Data Source: Google Open Buildings v3 (confidence ≥ 0.65).

This map provides an initial view of potential building exposure around the epicenter — an essential step in assessing post-earthquake impacts and guiding disaster response planning.

🔗 Explore the interactive map:
👉 https://ee-jrsantillan.projects.earthengine.app/view/cebu-earthquake---buildings-exposure-analysis

To enable the CSV export function, use the Google Earth Engine code available at https://code.earthengine.google.com/a8e65ada47d540f06a1ba368f737b4c2 (Note: Google account needed, and a project in GEE must be created.)

🛰 Built using Google Earth Engine for rapid, open, and reproducible geospatial analysis.