I have been working with Google Earth Engine (GEE) and I encountered an unexpected discrepancy in the output when calculating the area of a geometry using different methods. Specifically, I noticed that the featureCollection.geometry().area()
function and the ee.Image.pixelArea().reduce(geometry)
operation yield different results.
To provide some context, I have a FeatureCollection in GEE that contains several features with geometries representing different regions of interest. My goal is to compute the area of these geometries accurately. Initially, I used the featureCollection.geometry().area()
method, which is commonly used to calculate the area of a geometry directly from a FeatureCollection object.
However, I noticed that the results obtained from this method differed from the ones obtained by utilizing the ee.Image.pixelArea().reduce(geometry)
operation. This operation involves creating an ee.Image object and then applying the reduce() function on the geometry of interest.
I would like to understand why these two methods produce inconsistent results. Is there a fundamental difference in how these functions calculate the area? Could it be related to the spatial resolution of the imagery used in ee.Image.pixelArea()? How can I obtain accurate area calculations?
Here is a simplified code snippet demonstrating the issue:
var fc = ee.FeatureCollection("your/feature/collection");
// Method 1: Calculating area using featureCollection.geometry().area()
var areaMethod1 = fc.geometry().area();
// Method 2: Calculating area using ee.Image.pixelArea().reduce(geometry)
var areaMethod2 = ee.Image.pixelArea().reduceRegion({
geometry: geomFeature.geometry(),
reducer: ee.Reducer.sum(),
scale: 30
})
print('Area (Method 1):', areaMethod1);
print('Area (Method 2):', areaMethod2);