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I'm trying to collect a set of sample points from all the images in a collection. However instead of outputting a Feature Collection that consists of a group of Features with the training data as properties, I get a Feature Collection that contains another nested Feature Collection for each image I process, and cannot tell if these contain the training data I want.

How can I output the data as one featureCollection containing nothing but features? Do I have to use the .iterate()? From the examples I am unsure how to apply this for my purpose.

    // Create Example Collection

var collection =  ee.ImageCollection("LANDSAT/LT05/C01/T1_TOA")

  .filterDate('2001-01-01', '2001-12-31')

  .filterBounds(ee.Geometry.Point(-92.94,37.52))

  .filterMetadata('CLOUD_COVER', 'equals', 0);



print(collection);



// function for sampling training data

function sampleImage(image) {

    var bands = ['B1', 'B2', 'B3'];

    var param = {region: clust, scale: 30, numPixels: 500};

    var SamPix = image.select(bands).sample(param);

    return SamPix;

}

var training = collection.map(sampleImage);

print(training, "sample points"); 

javascript google-earth-engine iteration

share

asked 8 mins ago

Mike RhodesMike Rhodes

113

add a comment | 

0

I'm trying to collect a set of sample points from all the images in a collection. However instead of outputting a Feature Collection that consists of a group of Features with the training data as properties, I get a Feature Collection that contains another nested Feature Collection for each image I process, and cannot tell if these contain the training data I want.

How can I output the data as one featureCollection containing nothing but features? Do I have to use the .iterate()? From the examples I am unsure how to apply this for my purpose.

    // Create Example Collection

var collection =  ee.ImageCollection("LANDSAT/LT05/C01/T1_TOA")

  .filterDate('2001-01-01', '2001-12-31')

  .filterBounds(ee.Geometry.Point(-92.94,37.52))

  .filterMetadata('CLOUD_COVER', 'equals', 0);



print(collection);



// function for sampling training data

function sampleImage(image) {

    var bands = ['B1', 'B2', 'B3'];

    var param = {region: clust, scale: 30, numPixels: 500};

    var SamPix = image.select(bands).sample(param);

    return SamPix;

}

var training = collection.map(sampleImage);

print(training, "sample points"); 

javascript google-earth-engine iteration

share

asked 8 mins ago

Mike RhodesMike Rhodes

113

add a comment | 

I'm trying to collect a set of sample points from all the images in a collection. However instead of outputting a Feature Collection that consists of a group of Features with the training data as properties, I get a Feature Collection that contains another nested Feature Collection for each image I process, and cannot tell if these contain the training data I want.

How can I output the data as one featureCollection containing nothing but features? Do I have to use the .iterate()? From the examples I am unsure how to apply this for my purpose.

    // Create Example Collection

var collection =  ee.ImageCollection("LANDSAT/LT05/C01/T1_TOA")

  .filterDate('2001-01-01', '2001-12-31')

  .filterBounds(ee.Geometry.Point(-92.94,37.52))

  .filterMetadata('CLOUD_COVER', 'equals', 0);



print(collection);



// function for sampling training data

function sampleImage(image) {

    var bands = ['B1', 'B2', 'B3'];

    var param = {region: clust, scale: 30, numPixels: 500};

    var SamPix = image.select(bands).sample(param);

    return SamPix;

}

var training = collection.map(sampleImage);

print(training, "sample points"); 

javascript google-earth-engine iteration

share

asked 8 mins ago

Mike RhodesMike Rhodes

113

    // Create Example Collection

var collection =  ee.ImageCollection("LANDSAT/LT05/C01/T1_TOA")

  .filterDate('2001-01-01', '2001-12-31')

  .filterBounds(ee.Geometry.Point(-92.94,37.52))

  .filterMetadata('CLOUD_COVER', 'equals', 0);



print(collection);



// function for sampling training data

function sampleImage(image) {

    var bands = ['B1', 'B2', 'B3'];

    var param = {region: clust, scale: 30, numPixels: 500};

    var SamPix = image.select(bands).sample(param);

    return SamPix;

}

var training = collection.map(sampleImage);

print(training, "sample points"); 

share

asked 8 mins ago

Mike RhodesMike Rhodes

113

share

asked 8 mins ago

Mike RhodesMike Rhodes

113

asked 8 mins ago

Mike RhodesMike Rhodes

113

asked 8 mins ago

Mike RhodesMike Rhodes

113