Geolab - Laboratorio di Geomatica

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Geolab - Laboratorio di Geomatica

Il laboratorio di geomatica forestale del Dipartimento DAGRI - Università degli Studi di Firenze

04/05/2026

It’s time 🌍🌲

Also this year, the Geolab - Laboratorio di Geomatica DAGRI UNIFI is participating in the EGU General Assembly in Vienna with several contributions focused on the role of forests in climate change mitigation.

We presented research covering:
🌱 continuous cover forestry and regeneration dynamics in black pine stands
💻 innovation and digitalization in European forestry
🌳 tree stability monitoring using low-cost sensors
🤝 participatory approaches and co-creation for adaptive forest management -EU
📊 integration of modelling and stakeholder engagement to support decision-making -EU

An interdisciplinary effort combining geomatics, modelling, ecology, and socio-economic sciences to develop science-based solutions for more resilient and sustainable forests.

05/02/2026

How the erosion of natural darkness affects tree-covered urban areas worldwide https://geolabforest.com/alan_poster2025 During the 9TH INTERNATIONAL CONFERENCE ON ARTIFICIAL LIGHT AT NIGHT (28-31 October 2025) in Westport (IE), Ph.D. candidate Stefania Cupillari presen

04/02/2026

Satellite Remote Sensing for Monitoring Cork Oak Woodlands—A Comprehensive Literature Review https://geolabforest.com/cork_oak_satellite 📢 New Paper Published!

Cork oak (Quercus suber) woodlands hold significant ecological, cultural, and economic value in the Mediterranean basin, par

04/02/2026

Merry Christmas https://geolabforest.com/holiday2025 and a happy new Year!

02/02/2026

Ph.D. candidate Stefania Cupillari showcased her research on diminishing natural darkness and its impact on urban forests at the 9th International Conference on Artificial Light at Night in Westport.

🌠 How the erosion of natural darkness affects tree-covered urban areas worldwide 🌠

🌌 Check out her poster here: https://geolabforest.com/alan_poster2025/

19/01/2026

📢 New Paper Published!
🍂 Satellite Remote Sensing for Monitoring Cork Oak Woodlands—A Comprehensive Literature Review

Cork oak (Quercus suber) woodlands hold significant ecological, cultural, and economic value in the Mediterranean basin, particularly due to cork production, one of the most valued non-wood forest products worldwide. However, cork oak ecosystems are increasingly threatened by climate change, land-use intensification, and rural abandonment, leading to widespread signs of decline. To address these challenges, data-driven and scalable methods are more essential than ever. Satellite-based remote sensing (RS) offers a promising approach for large-scale, cost-effective, and timely monitoring of cork oak forests dynamics and health, but an exhaustive review about this topic is missing.

👉 Read the full paper here https://geolabforest.com/cork_oak_satellite/

15/01/2026

GEDI and Sentinel data integration for quantifying agroforestry tree height and stocks https://geolabforest.com/gedi_sentinel_agroforestry 📢 New Paper Published!

Agroforestry is a strategic asset for combating climate change and mitigating the environmental impacts of agricultural inte

08/01/2026

Vuoi restare aggiornato sulle ultime ricerche in materia di telerilevamento, boschi e clima? 🌳🛰️

Seguici sul nostro sito ufficiale per non perdere i nostri nuovi studi, approfondimenti e progetti!

Visita https://geolabforest.com/

25/12/2025

🎄 Happy holidays from geoLAB - the Laboratory of Forest Geomatics! 🎄

🌳 May your holidays be filled with happiness, serenity, and a greater appreciation for the marvels of nature 🌳

09/12/2025

📢 New paper published!
GEDI and Sentinel data integration for quantifying agroforestry tree height and stocks

Agroforestry is a strategic asset for combating climate change and mitigating environmental impacts, with poplar plantations providing ecological benefits, valuable products, and CO2 sequestration. Conventional monitoring is slow, so we used Remote Sensing (RS) and Deep Learning (U-Net) to estimate carbon stocks across the 46000 km2 Padan Plain. Using Sentinel-1, Sentinel-2, and GEDI data, we developed a 10m resolution Canopy Height Model (MAE 2.6m) to predict forestry variables like DBH, GSV, AGB, and Carbon Stock (CS). Results showed an average GSV of 70 m3ha-1 and total CS of 13MgC ha-1. We estimated the total harvested GSV in 2021-2022 at 370000 m3, equal to 66000 MgC The integration of multiple RS datasets with advanced machine learning is crucial for effectively monitoring these dynamic plantations and quantifying key climate change mitigation variables like carbon stocks.

👉 Read the full paper here:
https://geolabforest.com/gedi_sentinel_agroforestry/

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