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Public school students camp at IITA Forest Center in honor of IITA legend

• Authors : International Institute of Tropical Agriculture

Subjects: forest resources

• Source: International Institute of Tropical Agriculture. (2025). Public school students camp at IITA Forest Center in honor of IITA legend. Ibadan, Nigeria: IITA

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Objective identification of high-wind features within extratropical cyclones using a probabilistic random forest (RAMEFI). Part I: Method and illustrative case studies - Video Supplement

• Authors : Eisenstein, Lea; Schulz, Benedikt; Qadir, Ghulam A.

Subjects: wind; features; identification

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Public school students camp at IITA Forest Center in honor of IITA legend

• Authors : International Institute of Tropical Agriculture

• Source: International Institute of Tropical Agriculture. (2025). Public school students camp at IITA Forest Center in honor of IITA legend. Ibadan, Nigeria: IITA

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The measurement of the height of a standing tree: Forest Inventory

• Authors : Besim Balić; Jana Weigel

Subjects: inventory; instruments; Bosnia

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'Our Trees Are Dying': KIT Forest Researcher Somidh Saha about Karlsruhe Hardtwald

• Authors : Schwarzbeck, Tatjana; Yass, Adrian; Saha, Somidh

Subjects: Klimawandel; Wald; Dürre

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Introduction Workshop« The tree that hides the forest »19-20 November 2021INHA/Asie-Sorbonne ; Journées d'étude 'L'arbre qui cache la forêt'- 19 et 20 novembre 2021 INHA/Asie-Sorbonne

• Authors : Vial Kayser, Christine;

Subjects: art and nature; anthropocene; nature and culture

• Source: https://hal.science/hal-03455589 ; 2021.

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Introduction Workshop« The tree that hides the forest »19-20 November 2021INHA/Asie-Sorbonne ; Journées d'étude 'L'arbre qui cache la forêt'- 19 et 20 novembre 2021 INHA/Asie-Sorbonne

• Authors : Vial Kayser, Christine;

Subjects: art and nature; anthropocene; nature and culture

• Source: https://hal.science/hal-03455589 ; 2021.

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Modeling and prediction of wind damage in forest ecosystems of the Sudety Mountains, SW Poland

• Authors : Łukasz Pawlik; Kompetenzzentrum für nicht-textuelle Materialien

Subjects: Forest ecosystems; Modeling and prediction; Wind damage

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Introduction Workshop« The tree that hides the forest »19-20 November 2021INHA/Asie-Sorbonne ; Journées d'étude 'L'arbre qui cache la forêt'- 19 et 20 novembre 2021 INHA/Asie-Sorbonne

• Authors : Vial Kayser, Christine;

Subjects: art and nature; anthropocene; nature and culture

• Source: https://hal.science/hal-03455589 ; 2021.

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High resolution predictions of potential and actual distribution of forest tree species for Europe (2000-2020) based on spatiotemporal Machine Learning

• Authors : Carmelo Bonannella; Kompetenzzentrum für nicht-textuelle Materialien

Subjects: Spatiotemporal machine learning; Forest tree species; OpenDataScience

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