Search Results - "Hirye, Mayumi C. M."

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  1. 1

    The Amazon’s 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction by Wagner, Fabien H., Favrichon, Samuel, Dalagnol, Ricardo, Hirye, Mayumi C. M., Mullissa, Adugna, Saatchi, Sassan

    Published in Remote sensing (Basel, Switzerland) (01-03-2024)
    “…The Amazon, the world’s largest rainforest, faces a severe historic drought. The Rio Negro River, one of the major Amazon River tributaries, reached its lowest…”
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    Journal Article
  2. 2

    Assessing Landslide Drivers in Social–Ecological–Technological Systems: The Case of Metropolitan Region of São Paulo, Brazil by Hirye, Mayumi C. M., Alves, Diógenes Salas, Filardo Jr, Angelo Salvador, McPhearson, Timon, Wagner, Fabien

    Published in Remote sensing (Basel, Switzerland) (01-06-2023)
    “…Urban landslides are increasing globally, mainly caused by human-induced changes in hillsides. Most of these events have caused low-intensity damages to…”
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    Journal Article
  3. 3
  4. 4

    Sub-meter tree height mapping of California using aerial images and LiDAR-informed U-Net model by Wagner, Fabien H., Roberts, Sophia, Ritz, Alison L., Carter, Griffin, Dalagnol, Ricardo, Favrichon, Samuel, Hirye, Mayumi C.M., Brandt, Martin, Ciais, Philippe, Saatchi, Sassan

    Published in Remote sensing of environment (01-05-2024)
    “…Tree canopy height is one of the most important indicators of forest biomass, productivity, and ecosystem structure, but it is challenging to measure…”
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    Journal Article
  5. 5

    U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images—Case Study in the Joanópolis City, Brazil by Wagner, Fabien, Dalagnol, Ricardo, Tarabalka, Yuliya, Segantine, Tassiana, Thomé, Rogério, Hirye, Mayumi

    Published in Remote sensing (Basel, Switzerland) (01-05-2020)
    “…Currently, there exists a growing demand for individual building mapping in regions of rapid urban growth in less-developed countries. Most existing methods…”
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    Journal Article
  6. 6

    K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation by Wagner, Fabien H., Dalagnol, Ricardo, Sánchez, Alber H., Hirye, Mayumi C. M., Favrichon, Samuel, Lee, Jake H., Mauceri, Steffen, Yang, Yan, Saatchi, Sassan

    Published in Frontiers in environmental science (20-09-2022)
    “…Deep learning self-supervised algorithms that can segment an image in a fixed number of hard clusters such as the k-means algorithm and with an end-to-end deep…”
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    Journal Article
  7. 7

    Tree Cover for the Year 2010 of the Metropolitan Region of São Paulo, Brazil by Wagner, Fabien H., Hirye, Mayumi C.M.

    Published in Data (Basel) (01-12-2019)
    “…Mapping urban trees with images at a very high spatial resolution (≤1 m) is a particularly relevant recent challenge due to the need to assess the ecosystem…”
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    Journal Article
  8. 8

    High-Resolution Data Grids to Assess Urban Density and Environmental Quality: The Case of São Paulo City by Hirye, Mayumi C. M., Filardo, Angelo S., Wagner, Fabien H.

    “…This work takes advantage of a very high-resolution LiDAR building footprint of the city of São Paulo, Brazil, in combination with land use and demographic…”
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    Conference Proceeding
  9. 9
  10. 10

    K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation by Wagner, Fabien H, Dalagnol, Ricardo, Sánchez, Alber H, Hirye, Mayumi C. M, Favrichon, Samuel, Lee, Jake H, Mauceri, Steffen, Yang, Yan, Saatchi, Sassan

    Published 17-05-2022
    “…Deep learning self-supervised algorithms that can segment an image in a fixed number of hard labels such as the k-means algorithm and relying only on deep…”
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    Journal Article
  11. 11

    Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction by Wagner, Fabien H, Favrichon, Samuel, Dalagnol, Ricardo, Hirye, Mayumi CM, Mullissa, Adugna, Saatchi, Sassan

    Published 29-01-2024
    “…The Amazon, the world's largest rainforest, faces a severe historic drought. The Rio Negro River, one of the major Amazon River tributaries, reaches its lowest…”
    Get full text
    Journal Article
  12. 12

    Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model by Wagner, Fabien H, Roberts, Sophia, Ritz, Alison L, Carter, Griffin, Dalagnol, Ricardo, Favrichon, Samuel, Hirye, Mayumi CM, Brandt, Martin, Ciais, Philipe, Saatchi, Sassan

    Published 02-06-2023
    “…Tree canopy height is one of the most important indicators of forest biomass, productivity, and species diversity, but it is challenging to measure accurately…”
    Get full text
    Journal Article
  13. 13

    Mapping Tropical Forest Cover and Deforestation with Planet NICFI Satellite Images and Deep Learning in Mato Grosso State (Brazil) from 2015 to 2021 by Wagner, Fabien H, Dalagnol, Ricardo, Silva-Junior, Celso HL, Carter, Griffin, Ritz, Alison L, Hirye, Mayumi CM, Ometto, Jean PHB, Saatchi, Sassan

    Published 17-11-2022
    “…Monitoring changes in tree cover for rapid assessment of deforestation is considered the critical component of any climate mitigation policy for reducing…”
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    Journal Article