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
2005-03-30 09:40:15	ga_ls7e_ard_3-0-0_096067_2005-03-30_final
2005-03-31 10:23:55	ga_ls7e_ard_3-0-0_103068_2005-03-31_final
2005-04-01 09:27:53	ga_ls7e_ard_3-1-0_094067_2005-03-31_final
2005-04-29 09:52:31	ga_ls7e_ard_3-0-0_098067_2005-04-29_final
2005-04-29 09:52:55	ga_ls7e_ard_3-0-0_098068_2005-04-29_final
2005-04-29 11:31:25	ga_ls7e_ard_3-0-0_114067_2005-04-29_final
2005-04-30 10:36:11	ga_ls7e_ard_3-0-0_105068_2005-04-30_final
2005-05-01 09:40:10	ga_ls7e_ard_3-0-0_096067_2005-05-01_final
2005-05-01 11:19:04	ga_ls7e_ard_3-0-0_112067_2005-05-01_final
2005-05-23 10:42:23	ga_ls7e_ard_3-0-0_106068_2005-05-23_final
2005-05-24 11:25:15	ga_ls7e_ard_3-0-0_113067_2005-05-24_final
2005-05-25 10:30:01	ga_ls7e_ard_3-0-0_104068_2005-05-25_final
2005-05-26 09:34:00	ga_ls7e_ard_3-0-0_095067_2005-05-26_final
2005-05-31 09:52:31	ga_ls7e_ard_3-0-0_098067_2005-05-31_final
2005-05-31 09:52:54	ga_ls7e_ard_3-0-0_098068_2005-05-31_final
2005-05-31 11:31:24	ga_ls7e_ard_3-0-0_114067_2005-05-31_final
2005-06-01 10:36:10	ga_ls7e_ard_3-0-0_105068_2005-06-01_final
2005-06-02 11:19:01	ga_ls7e_ard_3-0-0_112067_2005-06-02_final
2005-06-11 11:12:46	ga_ls7e_ard_3-0-0_111067_2005-06-11_final
2005-06-11 11:13:10	ga_ls7e_ard_3-0-0_111068_2005-06-11_final
2005-06-12 10:17:32	ga_ls7e_ard_3-0-0_102068_2005-06-12_final
2005-06-13 09:21:30	ga_ls7e_ard_3-0-0_093067_2005-06-12_final
2005-06-16 09:52:23	ga_ls7e_ard_3-0-0_098067_2005-06-16_final
2005-06-16 09:52:47	ga_ls7e_ard_3-0-0_098068_2005-06-16_final
2005-06-16 11:31:16	ga_ls7e_ard_3-0-0_114067_2005-06-16_final
2005-06-17 10:36:03	ga_ls7e_ard_3-0-0_105068_2005-06-17_final
2005-06-18 11:18:54	ga_ls7e_ard_3-0-0_112067_2005-06-18_final
2005-06-20 09:27:39	ga_ls7e_ard_3-1-0_094067_2005-06-19_final
2005-06-20 11:06:32	ga_ls7e_ard_3-0-0_110067_2005-06-20_final
2005-06-27 11:12:42	ga_ls7e_ard_3-0-0_111067_2005-06-27_final
2005-06-27 11:13:05	ga_ls7e_ard_3-0-0_111068_2005-06-27_final
2005-06-28 10:17:28	ga_ls7e_ard_3-0-0_102068_2005-06-28_final
2005-06-29 09:21:26	ga_ls7e_ard_3-0-0_093067_2005-06-28_final
2005-07-02 11:31:14	ga_ls7e_ard_3-0-0_114067_2005-07-02_final
2005-07-03 10:36:01	ga_ls7e_ard_3-0-0_105068_2005-07-03_final
2005-07-04 09:40:00	ga_ls7e_ard_3-0-0_096067_2005-07-04_final
2005-07-04 11:18:53	ga_ls7e_ard_3-0-0_112067_2005-07-04_final
2005-10-26 11:06:23	ga_ls7e_ard_3-0-0_110067_2005-10-26_final
2005-10-29 09:58:26	ga_ls7e_ard_3-0-0_099067_2005-10-29_final
2005-10-29 09:58:50	ga_ls7e_ard_3-0-0_099068_2005-10-29_final
2005-10-30 10:42:07	ga_ls7e_ard_3-0-0_106068_2005-10-30_final
2005-10-31 11:24:59	ga_ls7e_ard_3-0-0_113067_2005-10-31_final
2005-11-01 10:29:47	ga_ls7e_ard_3-0-0_104068_2005-11-01_final
2005-11-02 11:12:39	ga_ls7e_ard_3-0-0_111067_2005-11-02_final
2005-11-02 11:13:03	ga_ls7e_ard_3-0-0_111068_2005-11-02_final
2005-11-03 10:17:26	ga_ls7e_ard_3-0-0_102068_2005-11-03_final
2005-11-04 09:21:26	ga_ls7e_ard_3-0-0_093067_2005-11-03_final
2008-12-25 10:42:22	ga_ls7e_ard_3-0-0_106068_2008-12-25_final
2008-12-26 11:25:14	ga_ls7e_ard_3-0-0_113067_2008-12-26_final
2008-12-27 10:30:01	ga_ls7e_ard_3-0-0_104068_2008-12-27_final
2008-12-28 09:34:00	ga_ls7e_ard_3-0-0_095067_2008-12-28_final
2008-12-28 11:12:53	ga_ls7e_ard_3-0-0_111067_2008-12-28_final
2018-02-16 09:39:44	ga_ls7e_ard_3-1-0_094067_2018-02-16_final
2018-05-29 10:40:26	ga_ls7e_ard_3-0-0_104068_2018-05-29_final
2018-05-30 09:44:24	ga_ls7e_ard_3-0-0_095067_2018-05-30_final
2018-05-30 11:23:17	ga_ls7e_ard_3-0-0_111067_2018-05-30_final
2018-08-01 10:39:16	ga_ls7e_ard_3-0-0_104068_2018-08-01_final
2018-08-02 09:43:13	ga_ls7e_ard_3-0-0_095067_2018-08-02_final
2018-08-02 11:22:06	ga_ls7e_ard_3-0-0_111067_2018-08-02_final
2018-08-02 11:22:30	ga_ls7e_ard_3-0-0_111068_2018-08-02_final
2019-01-08 10:35:27	ga_ls7e_ard_3-0-0_104068_2019-01-08_final
2019-01-09 09:39:24	ga_ls7e_ard_3-0-0_095067_2019-01-09_final
2019-01-09 11:18:16	ga_ls7e_ard_3-0-0_111067_2019-01-09_final
2019-01-09 11:18:40	ga_ls7e_ard_3-0-0_111068_2019-01-09_final
2019-01-10 10:23:01	ga_ls7e_ard_3-0-0_102068_2019-01-10_final
2019-01-30 09:57:15	ga_ls7e_ard_3-0-0_098067_2019-01-30_final
2019-02-03 09:32:25	ga_ls7e_ard_3-1-0_094067_2019-02-03_final
2019-02-03 11:11:18	ga_ls7e_ard_3-0-0_110067_2019-02-03_final
2019-02-06 10:03:14	ga_ls7e_ard_3-0-0_099067_2019-02-06_final
2019-02-24 11:29:13	ga_ls7e_ard_3-1-0_113067_2019-02-24_final
2019-02-25 10:33:57	ga_ls7e_ard_3-1-0_104068_2019-02-25_final
2019-02-26 09:37:54	ga_ls7e_ard_3-1-0_095067_2019-02-26_final
2019-02-26 11:16:47	ga_ls7e_ard_3-1-0_111067_2019-02-26_final
2019-02-26 11:17:11	ga_ls7e_ard_3-1-0_111068_2019-02-26_final
2019-03-30 09:36:51	ga_ls7e_ard_3-0-0_095067_2019-03-30_final
2019-03-30 11:15:44	ga_ls7e_ard_3-0-0_111067_2019-03-30_final
2019-03-30 11:16:08	ga_ls7e_ard_3-0-0_111068_2019-03-30_final
2019-04-04 11:34:06	ga_ls7e_ard_3-0-0_114067_2019-04-04_final
2019-05-17 09:35:05	ga_ls7e_ard_3-0-0_095067_2019-05-17_final
2019-05-17 11:13:57	ga_ls7e_ard_3-0-0_111067_2019-05-17_final
2019-05-18 10:18:42	ga_ls7e_ard_3-0-0_102068_2019-05-18_final
2019-05-22 09:53:25	ga_ls7e_ard_3-0-0_098067_2019-05-22_final
2019-05-22 11:32:18	ga_ls7e_ard_3-0-0_114067_2019-05-22_final
2019-05-23 10:37:03	ga_ls7e_ard_3-0-0_105068_2019-05-23_final
2019-05-24 11:19:52	ga_ls7e_ard_3-0-0_112067_2019-05-24_final
2019-05-26 09:28:34	ga_ls7e_ard_3-1-0_094067_2019-05-25_final
2019-05-26 11:07:26	ga_ls7e_ard_3-0-0_110067_2019-05-26_final
2019-06-07 11:31:44	ga_ls7e_ard_3-0-0_114067_2019-06-07_final
2019-06-08 10:36:29	ga_ls7e_ard_3-0-0_105068_2019-06-08_final
2019-06-09 09:40:26	ga_ls7e_ard_3-0-0_096067_2019-06-09_final
2019-06-25 11:18:43	ga_ls7e_ard_3-0-0_112067_2019-06-25_final
2019-06-27 09:27:24	ga_ls7e_ard_3-1-0_094067_2019-06-26_final
2019-06-27 11:06:17	ga_ls7e_ard_3-0-0_110067_2019-06-27_final
2019-07-09 09:51:40	ga_ls7e_ard_3-0-0_098067_2019-07-09_final
2019-07-09 09:52:04	ga_ls7e_ard_3-0-0_098068_2019-07-09_final
2019-07-09 11:30:33	ga_ls7e_ard_3-0-0_114067_2019-07-09_final
2019-07-11 09:39:14	ga_ls7e_ard_3-0-0_096067_2019-07-11_final
2019-08-30 11:03:42	ga_ls7e_ard_3-1-0_110067_2019-08-30_final
2019-10-04 09:54:12	ga_ls7e_ard_3-1-0_099067_2019-10-04_final
2019-10-05 10:37:49	ga_ls7e_ard_3-1-0_106068_2019-10-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years