Search ga_ls7e_ard_3 across October 2013

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-10-08 10:23:59	ga_ls7e_ard_3-0-0_102068_2013-10-08_final
2013-10-08 10:24:23	ga_ls7e_ard_3-0-0_102069_2013-10-08_final
2013-10-08 10:24:47	ga_ls7e_ard_3-0-0_102070_2013-10-08_final
2013-10-08 10:25:11	ga_ls7e_ard_3-0-0_102071_2013-10-08_final
2013-10-08 10:25:35	ga_ls7e_ard_3-0-0_102072_2013-10-08_final
2013-10-08 10:25:59	ga_ls7e_ard_3-0-0_102073_2013-10-08_final
2013-10-08 10:26:23	ga_ls7e_ard_3-0-0_102074_2013-10-08_final
2013-10-08 10:26:47	ga_ls7e_ard_3-0-0_102075_2013-10-08_final
2013-10-08 10:27:11	ga_ls7e_ard_3-0-0_102076_2013-10-08_final
2013-10-08 10:27:35	ga_ls7e_ard_3-0-0_102077_2013-10-08_final
2013-10-08 10:27:59	ga_ls7e_ard_3-0-0_102078_2013-10-08_final
2013-10-08 10:28:22	ga_ls7e_ard_3-0-0_102079_2013-10-08_final
2013-10-08 10:28:46	ga_ls7e_ard_3-0-0_102080_2013-10-08_final
2013-10-08 10:29:10	ga_ls7e_ard_3-0-0_102081_2013-10-08_final
2013-10-08 10:29:34	ga_ls7e_ard_3-0-0_102082_2013-10-08_final
2013-10-09 09:30:46	ga_ls7e_ard_3-0-0_093074_2013-10-09_final
2013-10-09 09:31:10	ga_ls7e_ard_3-0-0_093075_2013-10-09_final
2013-10-09 09:31:34	ga_ls7e_ard_3-0-0_093076_2013-10-09_final
2013-10-09 09:31:58	ga_ls7e_ard_3-0-0_093077_2013-10-09_final
2013-10-09 09:32:22	ga_ls7e_ard_3-0-0_093078_2013-10-09_final
2013-10-09 09:32:46	ga_ls7e_ard_3-0-0_093079_2013-10-09_final
2013-10-09 09:33:10	ga_ls7e_ard_3-0-0_093080_2013-10-09_final
2013-10-09 09:33:34	ga_ls7e_ard_3-0-0_093081_2013-10-09_final
2013-10-09 09:33:58	ga_ls7e_ard_3-0-0_093082_2013-10-09_final
2013-10-09 09:34:22	ga_ls7e_ard_3-0-0_093083_2013-10-09_final
2013-10-09 09:34:46	ga_ls7e_ard_3-0-0_093084_2013-10-09_final
2013-10-09 09:35:10	ga_ls7e_ard_3-0-0_093085_2013-10-09_final
2013-10-09 09:35:34	ga_ls7e_ard_3-0-0_093086_2013-10-09_final
2013-10-09 09:35:58	ga_ls7e_ard_3-1-0_093087_2013-10-09_final
2013-10-09 11:08:04	ga_ls7e_ard_3-0-0_109070_2013-10-09_final
2013-10-09 11:08:28	ga_ls7e_ard_3-0-0_109071_2013-10-09_final
2013-10-09 11:08:52	ga_ls7e_ard_3-0-0_109072_2013-10-09_final
2013-10-09 11:09:15	ga_ls7e_ard_3-0-0_109073_2013-10-09_final
2013-10-09 11:09:39	ga_ls7e_ard_3-0-0_109074_2013-10-09_final
2013-10-09 11:10:03	ga_ls7e_ard_3-0-0_109075_2013-10-09_final
2013-10-09 11:10:27	ga_ls7e_ard_3-0-0_109076_2013-10-09_final
2013-10-09 11:10:51	ga_ls7e_ard_3-0-0_109077_2013-10-09_final
2013-10-09 11:11:15	ga_ls7e_ard_3-0-0_109078_2013-10-09_final
2013-10-09 11:11:39	ga_ls7e_ard_3-0-0_109079_2013-10-09_final
2013-10-09 11:12:03	ga_ls7e_ard_3-0-0_109080_2013-10-09_final
2013-10-09 11:12:27	ga_ls7e_ard_3-1-0_109081_2013-10-09_final
2013-10-09 11:12:51	ga_ls7e_ard_3-0-0_109082_2013-10-09_final
2013-10-10 10:12:51	ga_ls7e_ard_3-0-0_100071_2013-10-10_final
2013-10-10 10:13:15	ga_ls7e_ard_3-0-0_100072_2013-10-10_final
2013-10-10 10:13:39	ga_ls7e_ard_3-0-0_100073_2013-10-10_final
2013-10-10 10:14:03	ga_ls7e_ard_3-0-0_100074_2013-10-10_final
2013-10-10 10:14:27	ga_ls7e_ard_3-0-0_100075_2013-10-10_final
2013-10-10 10:14:51	ga_ls7e_ard_3-0-0_100076_2013-10-10_final
2013-10-10 10:15:15	ga_ls7e_ard_3-0-0_100077_2013-10-10_final
2013-10-10 10:15:39	ga_ls7e_ard_3-0-0_100078_2013-10-10_final
2013-10-10 10:16:03	ga_ls7e_ard_3-0-0_100079_2013-10-10_final
2013-10-10 10:16:26	ga_ls7e_ard_3-0-0_100080_2013-10-10_final
2013-10-10 10:16:50	ga_ls7e_ard_3-0-0_100081_2013-10-10_final
2013-10-11 09:19:14	ga_ls7e_ard_3-0-0_091076_2013-10-10_final
2013-10-11 09:19:38	ga_ls7e_ard_3-0-0_091077_2013-10-10_final
2013-10-11 09:20:02	ga_ls7e_ard_3-0-0_091078_2013-10-10_final
2013-10-11 09:20:26	ga_ls7e_ard_3-0-0_091079_2013-10-10_final
2013-10-11 09:20:50	ga_ls7e_ard_3-0-0_091080_2013-10-10_final
2013-10-11 09:21:14	ga_ls7e_ard_3-0-0_091081_2013-10-10_final
2013-10-11 09:21:38	ga_ls7e_ard_3-0-0_091082_2013-10-10_final
2013-10-11 09:22:02	ga_ls7e_ard_3-0-0_091083_2013-10-10_final
2013-10-11 09:22:26	ga_ls7e_ard_3-0-0_091084_2013-10-10_final
2013-10-11 09:22:50	ga_ls7e_ard_3-0-0_091085_2013-10-10_final
2013-10-11 09:23:14	ga_ls7e_ard_3-1-0_091086_2013-10-10_final
2013-10-11 09:23:38	ga_ls7e_ard_3-0-0_091087_2013-10-10_final
2013-10-11 09:24:02	ga_ls7e_ard_3-0-0_091088_2013-10-10_final
2013-10-11 09:24:26	ga_ls7e_ard_3-0-0_091089_2013-10-10_final
2013-10-11 10:55:44	ga_ls7e_ard_3-0-0_107070_2013-10-11_final
2013-10-11 10:56:08	ga_ls7e_ard_3-0-0_107071_2013-10-11_final
2013-10-11 10:56:31	ga_ls7e_ard_3-0-0_107072_2013-10-11_final
2013-10-11 10:56:55	ga_ls7e_ard_3-0-0_107073_2013-10-11_final
2013-10-11 10:57:43	ga_ls7e_ard_3-0-0_107075_2013-10-11_final
2013-10-11 10:58:07	ga_ls7e_ard_3-0-0_107076_2013-10-11_final
2013-10-11 10:58:31	ga_ls7e_ard_3-0-0_107077_2013-10-11_final
2013-10-11 10:58:55	ga_ls7e_ard_3-0-0_107078_2013-10-11_final
2013-10-11 10:59:19	ga_ls7e_ard_3-0-0_107079_2013-10-11_final
2013-10-11 10:59:43	ga_ls7e_ard_3-0-0_107080_2013-10-11_final
2013-10-11 11:00:07	ga_ls7e_ard_3-0-0_107081_2013-10-11_final
2013-10-11 11:00:31	ga_ls7e_ard_3-0-0_107082_2013-10-11_final
2013-10-11 11:00:55	ga_ls7e_ard_3-0-0_107083_2013-10-11_final
2013-10-11 11:01:19	ga_ls7e_ard_3-0-0_107084_2013-10-11_final
2013-10-27 09:19:21	ga_ls7e_ard_3-0-0_091076_2013-10-26_final
2013-10-27 09:19:45	ga_ls7e_ard_3-0-0_091077_2013-10-26_final
2013-10-27 09:20:09	ga_ls7e_ard_3-0-0_091078_2013-10-26_final
2013-10-27 09:20:33	ga_ls7e_ard_3-0-0_091079_2013-10-26_final
2013-10-27 09:20:57	ga_ls7e_ard_3-0-0_091080_2013-10-26_final
2013-10-27 09:21:20	ga_ls7e_ard_3-0-0_091081_2013-10-26_final
2013-10-27 09:21:44	ga_ls7e_ard_3-0-0_091082_2013-10-26_final
2013-10-27 09:22:08	ga_ls7e_ard_3-0-0_091083_2013-10-26_final
2013-10-27 09:22:32	ga_ls7e_ard_3-0-0_091084_2013-10-26_final
2013-10-27 09:22:56	ga_ls7e_ard_3-0-0_091085_2013-10-26_final
2013-10-27 09:23:20	ga_ls7e_ard_3-1-0_091086_2013-10-26_final
2013-10-27 09:23:44	ga_ls7e_ard_3-0-0_091087_2013-10-26_final
2013-10-27 09:24:08	ga_ls7e_ard_3-0-0_091088_2013-10-26_final
2013-10-27 09:24:32	ga_ls7e_ard_3-0-0_091089_2013-10-26_final
2013-10-28 09:59:01	ga_ls7e_ard_3-0-0_098067_2013-10-28_final
2013-10-28 09:59:25	ga_ls7e_ard_3-0-0_098068_2013-10-28_final
2013-10-28 09:59:49	ga_ls7e_ard_3-0-0_098069_2013-10-28_final
2013-10-28 10:00:13	ga_ls7e_ard_3-0-0_098070_2013-10-28_final
2013-10-28 10:00:37	ga_ls7e_ard_3-0-0_098071_2013-10-28_final

Return to ga_ls7e_ard_3 across October 2013 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2013

October

All days