IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v4y2019i4p145-d286940.html
   My bibliography  Save this article

Tree Cover for the Year 2010 of the Metropolitan Region of São Paulo, Brazil

Author

Listed:
  • Fabien H. Wagner

    (Remote Sensing Division, National Institute for Space Research—INPE, São José dos Campos 12227-010, SP, Brazil)

  • Mayumi C.M. Hirye

    (Remote Sensing Division, National Institute for Space Research—INPE, São José dos Campos 12227-010, SP, Brazil)

Abstract

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 services they provide. However, due to the effort needed to produce these maps from tree censuses or with remote sensing data, few cities in the world have a complete tree cover map. Here, we present the tree cover data at 1-m spatial resolution of the Metropolitan Region of São Paulo, Brazil, the fourth largest urban agglomeration in the world. This dataset, based on 71 orthorectified RGB aerial photographs taken in 2010 at 1-m spatial resolution, was produced using a deep learning method for image segmentation called U-net. The model was trained with 1286 images of size 64 × 64 pixels at 1-m spatial resolution, containing one or more trees or only background, and their labelled masks. The validation was based on 322 images of the same size not used in the training and their labelled masks. The map produced by the U-net algorithm showed an excellent level of accuracy, with an overall accuracy of 96.4% and an F1-score of 0.941 (precision = 0.945 and recall = 0.937). This dataset is a valuable input for the estimation of urban forest ecosystem services, and more broadly for urban studies or urban ecological modelling of the São Paulo Metropolitan Region.

Suggested Citation

  • Fabien H. Wagner & Mayumi C.M. Hirye, 2019. "Tree Cover for the Year 2010 of the Metropolitan Region of São Paulo, Brazil," Data, MDPI, vol. 4(4), pages 1-8, November.
  • Handle: RePEc:gam:jdataj:v:4:y:2019:i:4:p:145-:d:286940
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/4/4/145/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2306-5729/4/4/145/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:4:y:2019:i:4:p:145-:d:286940. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.