MARCELO CARVALHO DE REZENDE

Dottore di ricerca

ciclo: XXXIV



Titolo della tesi: Earth Observations, cloud computing and machine learning in support of conservation efforts in Yemen

The thesis is an exploration of different remote sensing and cloud computing approaches to support ecosystem restoration and conservation efforts in Socotra, Yemen. We first look at drivers of land degradation (paper 1) and changes is vegetation dynamics (paper 2). On paper 3, we propose an innovative approach to site selection criteria, creating a suitability map for Dracaena cinnabari conservation/restoration that is centered in the land users.

Produzione scientifica

  • 11573/962843 - 2017 - The extent of forest in dryland biomes (01a Articolo in rivista)
    ATTORRE, FABIO; CARVALHO DE REZENDE, MARCELO
  • 11573/1679841 - 2023 - Prioritization of peatland restoration and conservation interventions in Sumatra, Kalimantan and Papua (01a Articolo in rivista)
    TERZANO, DILVA; TREZZA, FRANCESCA ROMANA; CARVALHO DE REZENDE, MARCELO; MALATESTA, LUCA; ATTORRE, FABIO
  • 11573/1667772 - 2023 - Analysis of land cover dynamics in Mozambique (2001–2016) (01a Articolo in rivista)
    CIANCIULLO, SILVIO; ATTORRE, FABIO; TREZZA, FRANCESCA ROMANA; CARVALHO DE REZENDE, MARCELO; RICCARDI, TULLIA; MALATESTA, LUCA
  • 11573/1655098 - 2022 - Identifying suitable restoration and conservation areas for Dracaena cinnabari Balf.f. in Socotra, Yemen (01a Articolo in rivista)
    CARVALHO DE REZENDE, MARCELO; RICCARDI, TULLIA; ATTORRE, FABIO; DE SANCTIS, MICHELE; MALATESTA, LUCA

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