Search ga_ls7e_ard_3 whole collection

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
2003-12-20 11:35:03	ga_ls7e_ard_3-0-0_114078_2003-12-20_final
2003-12-20 11:35:27	ga_ls7e_ard_3-0-0_114079_2003-12-20_final
2003-12-20 11:35:51	ga_ls7e_ard_3-0-0_114080_2003-12-20_final
2004-01-05 11:35:56	ga_ls7e_ard_3-0-0_114080_2004-01-05_final
2004-01-28 11:39:52	ga_ls7e_ard_3-0-0_115074_2004-01-28_final
2004-01-28 11:40:16	ga_ls7e_ard_3-0-0_115075_2004-01-28_final
2004-01-28 11:40:40	ga_ls7e_ard_3-0-0_115076_2004-01-28_final
2004-01-28 11:41:04	ga_ls7e_ard_3-1-0_115077_2004-01-28_final
2004-01-28 11:41:28	ga_ls7e_ard_3-0-0_115078_2004-01-28_final
2004-01-28 11:41:52	ga_ls7e_ard_3-0-0_115079_2004-01-28_final
2004-03-16 11:40:04	ga_ls7e_ard_3-0-0_115074_2004-03-16_final
2004-03-16 11:40:28	ga_ls7e_ard_3-0-0_115075_2004-03-16_final
2004-03-16 11:40:52	ga_ls7e_ard_3-0-0_115076_2004-03-16_final
2004-03-16 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-03-16_final
2004-03-16 11:41:40	ga_ls7e_ard_3-0-0_115078_2004-03-16_final
2004-03-16 11:42:04	ga_ls7e_ard_3-0-0_115079_2004-03-16_final
2004-03-18 11:30:54	ga_ls7e_ard_3-0-0_113082_2004-03-18_final
2004-03-18 11:31:18	ga_ls7e_ard_3-0-0_113083_2004-03-18_final
2004-03-18 11:31:42	ga_ls7e_ard_3-0-0_113084_2004-03-18_final
2004-05-12 11:35:25	ga_ls7e_ard_3-0-0_114078_2004-05-12_final
2004-05-12 11:35:49	ga_ls7e_ard_3-0-0_114079_2004-05-12_final
2004-05-12 11:36:13	ga_ls7e_ard_3-0-0_114080_2004-05-12_final
2008-04-05 11:36:46	ga_ls7e_ard_3-0-0_114079_2008-04-05_final
2008-04-05 11:37:10	ga_ls7e_ard_3-0-0_114080_2008-04-05_final
2021-02-04 11:03:04	ga_ls7e_ard_3-2-0_114080_2021-02-04_final
2021-02-04 11:03:28	ga_ls7e_ard_3-2-0_114081_2021-02-04_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-02-11 11:06:44	ga_ls7e_ard_3-2-0_115075_2021-02-11_final
2021-02-11 11:07:08	ga_ls7e_ard_3-2-0_115076_2021-02-11_final
2021-02-11 11:07:32	ga_ls7e_ard_3-2-0_115077_2021-02-11_final
2021-02-11 11:07:56	ga_ls7e_ard_3-2-0_115078_2021-02-11_final
2021-02-11 11:08:20	ga_ls7e_ard_3-2-0_115079_2021-02-11_final
2021-02-20 11:01:05	ga_ls7e_ard_3-2-0_114078_2021-02-20_final
2021-02-20 11:01:28	ga_ls7e_ard_3-2-0_114079_2021-02-20_final
2021-02-20 11:01:52	ga_ls7e_ard_3-2-0_114080_2021-02-20_final
2021-02-20 11:02:16	ga_ls7e_ard_3-2-0_114081_2021-02-20_final
2021-03-15 11:03:52	ga_ls7e_ard_3-2-0_115074_2021-03-15_final
2021-03-15 11:04:16	ga_ls7e_ard_3-2-0_115075_2021-03-15_final
2021-03-15 11:04:40	ga_ls7e_ard_3-2-0_115076_2021-03-15_final
2021-03-15 11:05:04	ga_ls7e_ard_3-2-0_115077_2021-03-15_final
2021-03-15 11:05:28	ga_ls7e_ard_3-2-0_115078_2021-03-15_final
2021-03-15 11:05:52	ga_ls7e_ard_3-2-0_115079_2021-03-15_final
2021-03-24 10:58:34	ga_ls7e_ard_3-2-0_114078_2021-03-24_final
2021-03-24 10:58:58	ga_ls7e_ard_3-2-0_114079_2021-03-24_final
2021-03-24 10:59:22	ga_ls7e_ard_3-2-0_114080_2021-03-24_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-03-31 11:02:35	ga_ls7e_ard_3-2-0_115074_2021-03-31_final
2021-03-31 11:02:59	ga_ls7e_ard_3-2-0_115075_2021-03-31_final
2021-03-31 11:03:22	ga_ls7e_ard_3-2-0_115076_2021-03-31_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-03-31 11:04:10	ga_ls7e_ard_3-2-0_115078_2021-03-31_final
2021-03-31 11:04:34	ga_ls7e_ard_3-2-0_115079_2021-03-31_final
2021-04-09 10:57:39	ga_ls7e_ard_3-2-0_114079_2021-04-09_final
2021-04-09 10:58:03	ga_ls7e_ard_3-2-0_114080_2021-04-09_final
2021-04-09 10:58:27	ga_ls7e_ard_3-2-0_114081_2021-04-09_final
2021-04-16 11:01:15	ga_ls7e_ard_3-2-0_115074_2021-04-16_final
2021-04-16 11:01:39	ga_ls7e_ard_3-2-0_115075_2021-04-16_final
2021-04-16 11:02:03	ga_ls7e_ard_3-2-0_115076_2021-04-16_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-04-16 11:02:51	ga_ls7e_ard_3-2-0_115078_2021-04-16_final
2021-04-16 11:03:14	ga_ls7e_ard_3-2-0_115079_2021-04-16_final
2021-04-18 10:51:55	ga_ls7e_ard_3-2-0_113082_2021-04-18_final
2021-04-18 10:52:19	ga_ls7e_ard_3-2-0_113083_2021-04-18_final
2021-04-18 10:52:43	ga_ls7e_ard_3-2-0_113084_2021-04-18_final
2021-05-02 10:59:54	ga_ls7e_ard_3-2-0_115074_2021-05-02_final
2021-05-02 11:00:18	ga_ls7e_ard_3-2-0_115075_2021-05-02_final
2021-05-02 11:01:29	ga_ls7e_ard_3-2-0_115078_2021-05-02_final
2021-05-02 11:01:53	ga_ls7e_ard_3-2-0_115079_2021-05-02_final
2021-05-04 10:50:34	ga_ls7e_ard_3-2-0_113082_2021-05-04_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-04 10:51:22	ga_ls7e_ard_3-2-0_113084_2021-05-04_final
2021-05-11 10:54:34	ga_ls7e_ard_3-2-0_114078_2021-05-11_final
2021-05-11 10:54:58	ga_ls7e_ard_3-2-0_114079_2021-05-11_final
2021-05-11 10:55:22	ga_ls7e_ard_3-2-0_114080_2021-05-11_final
2021-05-18 10:58:33	ga_ls7e_ard_3-2-0_115074_2021-05-18_final
2021-05-18 10:58:57	ga_ls7e_ard_3-2-0_115075_2021-05-18_final
2021-05-18 10:59:21	ga_ls7e_ard_3-2-0_115076_2021-05-18_final
2021-05-18 10:59:45	ga_ls7e_ard_3-2-0_115077_2021-05-18_final
2021-05-18 11:00:09	ga_ls7e_ard_3-2-0_115078_2021-05-18_final
2021-05-27 10:53:12	ga_ls7e_ard_3-2-0_114078_2021-05-27_final
2021-05-27 10:53:36	ga_ls7e_ard_3-2-0_114079_2021-05-27_final
2021-05-27 10:54:00	ga_ls7e_ard_3-2-0_114080_2021-05-27_final
2021-06-12 10:51:52	ga_ls7e_ard_3-2-0_114078_2021-06-12_final
2021-06-12 10:52:16	ga_ls7e_ard_3-2-0_114079_2021-06-12_final
2021-06-12 10:52:40	ga_ls7e_ard_3-2-0_114080_2021-06-12_final
2021-06-12 10:53:04	ga_ls7e_ard_3-2-0_114081_2021-06-12_final
2021-06-19 10:55:53	ga_ls7e_ard_3-2-0_115074_2021-06-19_final
2021-06-19 10:56:17	ga_ls7e_ard_3-2-0_115075_2021-06-19_final
2021-06-19 10:56:41	ga_ls7e_ard_3-2-0_115076_2021-06-19_final
2021-06-19 10:57:05	ga_ls7e_ard_3-2-0_115077_2021-06-19_final
2021-06-19 10:57:29	ga_ls7e_ard_3-2-0_115078_2021-06-19_final
2021-06-19 10:57:53	ga_ls7e_ard_3-2-0_115079_2021-06-19_final
2021-06-21 10:46:33	ga_ls7e_ard_3-2-0_113082_2021-06-21_final
2021-06-21 10:46:57	ga_ls7e_ard_3-2-0_113083_2021-06-21_final
2021-06-21 10:47:21	ga_ls7e_ard_3-2-0_113084_2021-06-21_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2021-06-28 10:50:57	ga_ls7e_ard_3-2-0_114079_2021-06-28_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-07-07 10:45:13	ga_ls7e_ard_3-2-0_113082_2021-07-07_final
2021-07-07 10:45:37	ga_ls7e_ard_3-2-0_113083_2021-07-07_final

Return to ga_ls7e_ard_3 whole collection overview

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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years