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@ecovision-uzh

UZH-EcoVision

Our team does research at the frontier of machine learning, computer vision, and remote sensing to solve scientific questions in the environmental sciences.

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  1. climplicit climplicit Public

    Code to "Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks" at the ICLR 2025 Workshop: Tackling Climate Change with Machine Learning.

    Jupyter Notebook 11

  2. BraDD-S1TS BraDD-S1TS Public

    [ISPRS 23] Deforestation Detection in the Amazon with Sentinel-1 SAR Image Time Series

    Jupyter Notebook 10 3

  3. sat-sinr sat-sinr Public

    [ISPRS 2024] Sat-SINR: High-Resolution Species Distribution Models through Satellite Imagery

    Python 5 1

  4. veg-height-map-public veg-height-map-public Public

    [SRS 2023] Countrywide Vegetation Height Estimation with Sentinel-2 and Deep Learning

    Python 1

  5. GSR4B GSR4B Public

    Forked from kaankaramanofficial/GSR4B

    GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance

    1

  6. climate_envelope_loss climate_envelope_loss Public

    Forked from ecovision-uzh/sat-sinr

    Python

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