Conducting Land Cover Signature Classification on Google Earth Engine?Extracting land cover type in Google...

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Conducting Land Cover Signature Classification on Google Earth Engine?


Extracting land cover type in Google Earth Engine?GEE- Supervised classification image is incompleteGEE Error: exported bands must be compatibleReducing Land Cover Data Sets in Earth EngineGEE: Supervised Classification exceed memoryApply .median reducer to image collection over roi EXCLUDING images with high cloud cover. GEEReducing tree cover area from Hansen in GEE yields me areas larger than the feature itselfHow to download all personal GEE scripts?Changing pixel values in GEEClassification error






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I was wondering if there is a way to conduct Land Cover Signature Classification, as specified on page 122 of the following user manual: https://buildmedia.readthedocs.org/media/pdf/semiautomaticclassificationmanual/latest/semiautomaticclassificationmanual.pdf, on Google Earth Engine.



Essentially, my problem consists of the following: using a single image, I am trying to find pixels whose spectral curves are contained within a certain threshold from my training ROI's spectral curve. It is almost equivalent to performing a one-class supervised classification, but a bit more rigorous due to the threshold requirement. This is similar to Parallelepiped Classification, with the exception that spectral regions are defined by user, and can be assigned independently for the upper and lower bounds.










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    I was wondering if there is a way to conduct Land Cover Signature Classification, as specified on page 122 of the following user manual: https://buildmedia.readthedocs.org/media/pdf/semiautomaticclassificationmanual/latest/semiautomaticclassificationmanual.pdf, on Google Earth Engine.



    Essentially, my problem consists of the following: using a single image, I am trying to find pixels whose spectral curves are contained within a certain threshold from my training ROI's spectral curve. It is almost equivalent to performing a one-class supervised classification, but a bit more rigorous due to the threshold requirement. This is similar to Parallelepiped Classification, with the exception that spectral regions are defined by user, and can be assigned independently for the upper and lower bounds.










    share|improve this question









    New contributor




    Jeffrey Lewis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      I was wondering if there is a way to conduct Land Cover Signature Classification, as specified on page 122 of the following user manual: https://buildmedia.readthedocs.org/media/pdf/semiautomaticclassificationmanual/latest/semiautomaticclassificationmanual.pdf, on Google Earth Engine.



      Essentially, my problem consists of the following: using a single image, I am trying to find pixels whose spectral curves are contained within a certain threshold from my training ROI's spectral curve. It is almost equivalent to performing a one-class supervised classification, but a bit more rigorous due to the threshold requirement. This is similar to Parallelepiped Classification, with the exception that spectral regions are defined by user, and can be assigned independently for the upper and lower bounds.










      share|improve this question









      New contributor




      Jeffrey Lewis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I was wondering if there is a way to conduct Land Cover Signature Classification, as specified on page 122 of the following user manual: https://buildmedia.readthedocs.org/media/pdf/semiautomaticclassificationmanual/latest/semiautomaticclassificationmanual.pdf, on Google Earth Engine.



      Essentially, my problem consists of the following: using a single image, I am trying to find pixels whose spectral curves are contained within a certain threshold from my training ROI's spectral curve. It is almost equivalent to performing a one-class supervised classification, but a bit more rigorous due to the threshold requirement. This is similar to Parallelepiped Classification, with the exception that spectral regions are defined by user, and can be assigned independently for the upper and lower bounds.







      google-earth-engine land-classification






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      Jeffrey Lewis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      edited 8 mins ago









      PolyGeo

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