Different spatial coverage in scenes downloaded from USGS LANDSAT data

I am using M2M Python API to download scenes of Landsat 8 data for North America region, as shown in the code snippet below.

datasetName = "landsat_band_files_c2_l1"
spatialFilter =  {'filterType' : "mbr",
                  'lowerLeft' : {'latitude' : 31.8, 'longitude' : -157.99},
                  'upperRight' : { 'latitude' : 65.02, 'longitude' : -98}}
temporalFilter = {'start' : '2023-01-11', 'end' : '2023-01-13'}
serviceUrl = "https://m2m.cr.usgs.gov/api/api/json/stable/"

The band files I want are 5 and 7, the names are as given below

'LC08_L1TP_118066_20230113_20230113_02_RT_B5.TIF' 'LC08_L1TP_118066_20230113_20230113_02_RT_B7.TIF' Now, to plot and visualise, re-projection to EPSG:4326 is required. But on reprojection, the lat-lon extent are totally different from what I had requested for

test = rxr.open_rasterio(all_landsat_bands[0], masked=True) #first band image path
test = test.rio.reproject("EPSG:4326")
test.rio.bounds()

The output of the extent is :


(111.75961616451919,
 -9.73691271889413,
 113.84988985109456,
 -7.6224410148753226)

Why is the spatial extent of the scenes downloaded different from what was mentioned in spatialFilter?

Fergui / m2m-api

Different spatial coverage in scenes downloaded from USGS LANDSAT data #1