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Protection and RegeneratiOn of MOuNTains

Supporting a greener and climate resilient Adriatic-Ionian region

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  • Drones in Conservation: Enhancing Monitoring and Resource Management (Montenegro)

    forest managementmonitoring & digital tools

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  • Digital Tree Tags: Revolutionizing Forest Monitoring and Data Collection (Montenegro)

    forest managementmonitoring & digital tools

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  • Restoration of Juniperus foetidissima forests (9560*)

    forest managementhabitat restorationspecies conservation

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  • The number of days per decade with changes in R10mm. The scale indicates negative trends in blue, no trends in yellow, and positive trends in red. The white dot inside each grid pixel represents the computed statistically significant trend for p < 0.05.

    Quantifying Climate Change Impacts on Romanian Forests: Indicators of Resilience and Vulnerability

    climate resilienceforest management

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  • (a) The location of Mountain Tianmu, Zhejiang province; (b) the flight routes of UAV RGB image data acquisition; the small yellow planes represent take-off and landing points; (c) the UAV RGB orthoimage of the study area after pre-processing.

    Seeing Trees from Drones: The Role of Leaf Phenology Transition in Mapping Species Distribution in Species-Rich Montane Forests

    forest managementmonitoring & digital tools

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  • opening of the holes and introduction of the mycelium (inoculator) opening of the holes and introduction of the mycelium (dowels)

    Guide to Mushroom Cultivation on Logs in Mediterranean Silvopasture Systems

    forest managementsustainable livelihoods / resource use

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  • An example of tree crown detection (tree peaks visualized by green dots): (a) watersheds surrounding treetops (white line) split nearby trees—the borders are highlighted in red; DSM on the background; (b) the height mask (yellow line) cuts one side of the tree crowns in a place with a high altitude difference (red highlight); (c) the shadow mask (orange line) reduces the dark parts of tree crowns and completes the tree crown borders; multispectral imagery from the Parrot Sequoia sensor on the background (false-colour composition: Green, Red, Red edge); and, (d) final result of tree crown detection. Unmanned Aerial Vehicle (UAV) equipment used in this study: (a) three-dimensional (3D) models of the mounts designed for the Parrot Sequoia multispectral camera; (b) DJI Phantom 4 quadcopter with attached Parrot Sequoia camera; and, (c) planned flight path in the flylitchi.com web tool.

    Canopy Top, Height and Photosynthetic Pigment Estimation Using Parrot Sequoia Multispectral Imagery and the Unmanned Aerial Vehicle (UAV)

    climate resilienceforest managementmonitoring & digital tools

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  • Point cloud data of the study area, Top view Satellite image of the area (40° 11' 05.8", -8° 24' 54.9")

    Tree geometrical attributes measurement using UAV-born laser scanning

    forest managementmonitoring & digital tools

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