Using UAV photogrammetric data to support multi-objective forest management plans

In Italy and Europe, there is a growing demand for forest and agroforestry companies to prioritize multifunctionality and certification. The first step involves obtaining spatial data to derive multifunctionality indicators for developing multi-objective management plans.

Institutions

University of Florence (IT)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2025-05-02
DOI: https://doi.org/10.5281/zenodo.15324510
Primary Topic: Remote Sensing and LiDAR Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Using UAV photogrammetric data to support multi-objective forest management plans

May 2, 2025

Zenodo (CERN European Organization for Nuclear Research)

Remote Sensing and LiDAR Applications

article

Using UAV photogrammetric data to support multi-objective forest management plans

May 2, 2025article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

University of Florence (IT)

Openalex Percentile: Top 55%

Remote Sensing and LiDAR Applications

DOI Open Access PDF OpenAlex

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Using UAV photogrammetric data to support multi-objective forest management plans · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS