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Showing 1–8 of 8 results
Advanced filters: Author: Devis Tuia Clear advanced filters

  • Animal ecologists are increasingly limited by constraints in data processing. Here, Tuia and colleagues discuss how collaboration between ecologists and data scientists can harness machine learning to capitalize on the data generated from technological advances and lead to novel modeling approaches.

    • Devis Tuia
    • Benjamin Kellenberger
    • Tanya Berger-Wolf
    ReviewsOpen Access
    Nature Communications
    Volume: 13, P: 1-15

  • This study maps global tree composition in forests and assesses the impacts of historical forest cover loss and climate change. The results highlight the need for preserving the remaining large forest biomes, while regenerating degraded forests in a way that provides resilience against climate change.

    • Nina van Tiel
    • Fabian Fopp
    • Loïc Pellissier
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-12

  • Understanding urban perception enhances urban intelligence research, aiding sustainable development and smart city. Urban Visual-Spatial Intelligence (UVSI) integrates human and sensor perception. This Perspective explores UVSI’s potential for sustainable development, identifies research gaps, and outlines future priorities. Advances in AI, high-performance computing, real-time data processing, and citizen science could significantly impact UVSI. Key research areas include spatiotemporal data integration, visual analytics, ethical frameworks, and inclusive methodologies for AI-driven urban management.

    • Qihao Weng
    • Qianbao Hou
    • Michael Batty
    Comments & OpinionOpen Access
    npj Urban Sustainability
    Volume: 5, P: 1-5

  • Machine learning techniques can be utilized across geospatial applications spanning different spatial resolutions using METEOR, a meta-learning methodology that combines a small deep learning model with only a handful of labeled data.

    • Marc Rußwurm
    • Sherrie Wang
    • Devis Tuia
    ResearchOpen Access
    Communications Earth & Environment
    Volume: 5, P: 1-14