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Google Earth Engine: Error on point value extraction


Exporting rasters in GCS in Google Earth EngineGoogle Earth Engine, Landsat scene extraction?Nearest Pixel Value from Point Dataset Google Earth EngineIterate over ImageCollection returning pandas dataframe using earth engine & pythonBinarization of water body extraction in Google Earth Engine?Trying to map through and reduce regions of image using Google Earth Engine?Area error in Google Earth EngineGoogle Earth Engine: undefined value conversionLooping ImageCollection and FeatureCollection together in Google Earth EngineExtract Pixel Values for Multiple Polygons and ImagesDate of max and min value extraction from time series using Google Earth Engine?






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1















I am trying to extract rainfall (CHIRPS) values for a set of locations but I got the following error:




Image.reduceRegions: Unable to find a crs




This does not happens with other datasets (such as terraclimate)



The error arise when i start downloading the table from Tasks.



Here is the link to the code I have run https://code.earthengine.google.com/c27f2156e81824b0990dcfe0b0a6f455



The error should be here:



// do extraction 
var ft = ee.FeatureCollection(ee.List([]));

//Function to extract values from image collection based on point file and export as a table
var fill = function(img, ini)
var inift = ee.FeatureCollection(ini);
var scale = ee.Image(MM.first()).projection().nominalScale().getInfo()
var ft2 = img.reduceRegions(pts, ee.Reducer.first(),scale);
var date = img.date().format("YYYYMM");
var ft3 = ft2.map(function(f)return f.set("date", date));
return inift.merge(ft3);
;

// Iterates over the ImageCollection
var profile = ee.FeatureCollection(MM.iterate(fill, ft));









share|improve this question






























    1















    I am trying to extract rainfall (CHIRPS) values for a set of locations but I got the following error:




    Image.reduceRegions: Unable to find a crs




    This does not happens with other datasets (such as terraclimate)



    The error arise when i start downloading the table from Tasks.



    Here is the link to the code I have run https://code.earthengine.google.com/c27f2156e81824b0990dcfe0b0a6f455



    The error should be here:



    // do extraction 
    var ft = ee.FeatureCollection(ee.List([]));

    //Function to extract values from image collection based on point file and export as a table
    var fill = function(img, ini)
    var inift = ee.FeatureCollection(ini);
    var scale = ee.Image(MM.first()).projection().nominalScale().getInfo()
    var ft2 = img.reduceRegions(pts, ee.Reducer.first(),scale);
    var date = img.date().format("YYYYMM");
    var ft3 = ft2.map(function(f)return f.set("date", date));
    return inift.merge(ft3);
    ;

    // Iterates over the ImageCollection
    var profile = ee.FeatureCollection(MM.iterate(fill, ft));









    share|improve this question


























      1












      1








      1








      I am trying to extract rainfall (CHIRPS) values for a set of locations but I got the following error:




      Image.reduceRegions: Unable to find a crs




      This does not happens with other datasets (such as terraclimate)



      The error arise when i start downloading the table from Tasks.



      Here is the link to the code I have run https://code.earthengine.google.com/c27f2156e81824b0990dcfe0b0a6f455



      The error should be here:



      // do extraction 
      var ft = ee.FeatureCollection(ee.List([]));

      //Function to extract values from image collection based on point file and export as a table
      var fill = function(img, ini)
      var inift = ee.FeatureCollection(ini);
      var scale = ee.Image(MM.first()).projection().nominalScale().getInfo()
      var ft2 = img.reduceRegions(pts, ee.Reducer.first(),scale);
      var date = img.date().format("YYYYMM");
      var ft3 = ft2.map(function(f)return f.set("date", date));
      return inift.merge(ft3);
      ;

      // Iterates over the ImageCollection
      var profile = ee.FeatureCollection(MM.iterate(fill, ft));









      share|improve this question
















      I am trying to extract rainfall (CHIRPS) values for a set of locations but I got the following error:




      Image.reduceRegions: Unable to find a crs




      This does not happens with other datasets (such as terraclimate)



      The error arise when i start downloading the table from Tasks.



      Here is the link to the code I have run https://code.earthengine.google.com/c27f2156e81824b0990dcfe0b0a6f455



      The error should be here:



      // do extraction 
      var ft = ee.FeatureCollection(ee.List([]));

      //Function to extract values from image collection based on point file and export as a table
      var fill = function(img, ini)
      var inift = ee.FeatureCollection(ini);
      var scale = ee.Image(MM.first()).projection().nominalScale().getInfo()
      var ft2 = img.reduceRegions(pts, ee.Reducer.first(),scale);
      var date = img.date().format("YYYYMM");
      var ft3 = ft2.map(function(f)return f.set("date", date));
      return inift.merge(ft3);
      ;

      // Iterates over the ImageCollection
      var profile = ee.FeatureCollection(MM.iterate(fill, ft));






      javascript google-earth-engine






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Apr 4 at 8:09







      Gianca

















      asked Apr 3 at 15:10









      GiancaGianca

      176




      176




















          1 Answer
          1






          active

          oldest

          votes


















          1














          Some of your images inside the collection do not contain bands. Therefore, the error is thrown. Filter out images which do not contain a band using (assuming the first images correctly contains a band):



          // Filter out empty images
          MM = MM.filter(ee.Filter.listContains('system:band_names', MM.first().bandNames().get(0)))


          Furthermore, I think you will need to get the scale using the following, based on this post:



          // get scale 
          var scale = MM.first().projection().nominalScale().multiply(0.05); print(scale)


          As your feature collection was not shared, I drew a simple feature collection: Link script






          share|improve this answer























          • it works perfectly.Thanks

            – Gianca
            2 days ago











          Your Answer








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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          Some of your images inside the collection do not contain bands. Therefore, the error is thrown. Filter out images which do not contain a band using (assuming the first images correctly contains a band):



          // Filter out empty images
          MM = MM.filter(ee.Filter.listContains('system:band_names', MM.first().bandNames().get(0)))


          Furthermore, I think you will need to get the scale using the following, based on this post:



          // get scale 
          var scale = MM.first().projection().nominalScale().multiply(0.05); print(scale)


          As your feature collection was not shared, I drew a simple feature collection: Link script






          share|improve this answer























          • it works perfectly.Thanks

            – Gianca
            2 days ago















          1














          Some of your images inside the collection do not contain bands. Therefore, the error is thrown. Filter out images which do not contain a band using (assuming the first images correctly contains a band):



          // Filter out empty images
          MM = MM.filter(ee.Filter.listContains('system:band_names', MM.first().bandNames().get(0)))


          Furthermore, I think you will need to get the scale using the following, based on this post:



          // get scale 
          var scale = MM.first().projection().nominalScale().multiply(0.05); print(scale)


          As your feature collection was not shared, I drew a simple feature collection: Link script






          share|improve this answer























          • it works perfectly.Thanks

            – Gianca
            2 days ago













          1












          1








          1







          Some of your images inside the collection do not contain bands. Therefore, the error is thrown. Filter out images which do not contain a band using (assuming the first images correctly contains a band):



          // Filter out empty images
          MM = MM.filter(ee.Filter.listContains('system:band_names', MM.first().bandNames().get(0)))


          Furthermore, I think you will need to get the scale using the following, based on this post:



          // get scale 
          var scale = MM.first().projection().nominalScale().multiply(0.05); print(scale)


          As your feature collection was not shared, I drew a simple feature collection: Link script






          share|improve this answer













          Some of your images inside the collection do not contain bands. Therefore, the error is thrown. Filter out images which do not contain a band using (assuming the first images correctly contains a band):



          // Filter out empty images
          MM = MM.filter(ee.Filter.listContains('system:band_names', MM.first().bandNames().get(0)))


          Furthermore, I think you will need to get the scale using the following, based on this post:



          // get scale 
          var scale = MM.first().projection().nominalScale().multiply(0.05); print(scale)


          As your feature collection was not shared, I drew a simple feature collection: Link script







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Apr 4 at 8:13









          KuikKuik

          2,3821114




          2,3821114












          • it works perfectly.Thanks

            – Gianca
            2 days ago

















          • it works perfectly.Thanks

            – Gianca
            2 days ago
















          it works perfectly.Thanks

          – Gianca
          2 days ago





          it works perfectly.Thanks

          – Gianca
          2 days ago

















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