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
2003-12-27 09:58:01	ga_ls7e_ard_3-0-0_099067_2003-12-27_final
2003-12-27 09:58:25	ga_ls7e_ard_3-0-0_099068_2003-12-27_final
2003-12-28 10:41:41	ga_ls7e_ard_3-0-0_106068_2003-12-28_final
2003-12-29 11:24:33	ga_ls7e_ard_3-0-0_113067_2003-12-29_final
2004-02-08 11:18:35	ga_ls7e_ard_3-0-0_112067_2004-02-08_final
2004-02-22 09:52:27	ga_ls7e_ard_3-0-0_098068_2004-02-22_final
2004-02-23 10:35:42	ga_ls7e_ard_3-0-0_105068_2004-02-23_final
2004-02-24 09:39:41	ga_ls7e_ard_3-0-0_096067_2004-02-24_final
2004-02-24 11:18:34	ga_ls7e_ard_3-0-0_112067_2004-02-24_final
2004-02-25 10:23:20	ga_ls7e_ard_3-0-0_103068_2004-02-25_final
2004-02-26 09:27:20	ga_ls7e_ard_3-1-0_094067_2004-02-25_final
2004-03-18 11:24:55	ga_ls7e_ard_3-0-0_113067_2004-03-18_final
2004-03-21 10:17:21	ga_ls7e_ard_3-0-0_102068_2004-03-21_final
2004-03-25 09:52:14	ga_ls7e_ard_3-0-0_098067_2004-03-25_final
2004-03-25 09:52:38	ga_ls7e_ard_3-0-0_098068_2004-03-25_final
2004-03-25 11:31:07	ga_ls7e_ard_3-0-0_114067_2004-03-25_final
2004-04-14 11:06:17	ga_ls7e_ard_3-0-0_110067_2004-04-14_final
2004-04-26 09:52:05	ga_ls7e_ard_3-0-0_098067_2004-04-26_final
2004-04-26 09:52:29	ga_ls7e_ard_3-0-0_098068_2004-04-26_final
2004-04-26 11:30:58	ga_ls7e_ard_3-0-0_114067_2004-04-26_final
2004-04-30 11:06:16	ga_ls7e_ard_3-0-0_110067_2004-04-30_final
2004-05-07 09:33:35	ga_ls7e_ard_3-0-0_095067_2004-05-07_final
2004-05-07 11:12:29	ga_ls7e_ard_3-0-0_111067_2004-05-07_final
2004-05-07 11:12:52	ga_ls7e_ard_3-0-0_111068_2004-05-07_final
2004-05-08 10:17:15	ga_ls7e_ard_3-0-0_102068_2004-05-08_final
2004-05-09 09:21:14	ga_ls7e_ard_3-0-0_093067_2004-05-08_final
2004-05-12 09:52:32	ga_ls7e_ard_3-0-0_098068_2004-05-12_final
2004-05-12 11:31:01	ga_ls7e_ard_3-0-0_114067_2004-05-12_final
2004-05-13 10:35:48	ga_ls7e_ard_3-0-0_105068_2004-05-13_final
2004-05-21 11:24:50	ga_ls7e_ard_3-0-0_113067_2004-05-21_final
2004-05-22 10:29:36	ga_ls7e_ard_3-0-0_104068_2004-05-22_final
2004-05-23 11:12:28	ga_ls7e_ard_3-0-0_111067_2004-05-23_final
2004-05-23 11:12:52	ga_ls7e_ard_3-0-0_111068_2004-05-23_final
2004-05-24 10:17:14	ga_ls7e_ard_3-0-0_102068_2004-05-24_final
2004-05-28 09:52:30	ga_ls7e_ard_3-0-0_098068_2004-05-28_final
2004-05-28 11:30:59	ga_ls7e_ard_3-0-0_114067_2004-05-28_final
2004-05-29 10:35:46	ga_ls7e_ard_3-0-0_105068_2004-05-29_final
2004-06-21 10:41:49	ga_ls7e_ard_3-0-0_106068_2004-06-21_final
2004-06-22 11:24:40	ga_ls7e_ard_3-0-0_113067_2004-06-22_final
2004-06-23 10:29:27	ga_ls7e_ard_3-0-0_104068_2004-06-23_final
2004-06-24 11:12:19	ga_ls7e_ard_3-0-0_111067_2004-06-24_final
2004-06-24 11:12:43	ga_ls7e_ard_3-0-0_111068_2004-06-24_final
2004-06-25 10:17:05	ga_ls7e_ard_3-0-0_102068_2004-06-25_final
2004-06-29 11:30:51	ga_ls7e_ard_3-0-0_114067_2004-06-29_final
2004-06-30 10:35:38	ga_ls7e_ard_3-0-0_105068_2004-06-30_final
2004-07-01 09:39:36	ga_ls7e_ard_3-0-0_096067_2004-07-01_final
2004-07-09 10:29:25	ga_ls7e_ard_3-0-0_104068_2004-07-09_final
2004-07-10 11:12:17	ga_ls7e_ard_3-0-0_111067_2004-07-10_final
2004-07-10 11:12:41	ga_ls7e_ard_3-0-0_111068_2004-07-10_final
2004-07-11 10:17:03	ga_ls7e_ard_3-0-0_102068_2004-07-11_final
2017-12-22 10:30:22	ga_ls7e_ard_3-0-0_102068_2017-12-22_final
2017-12-26 10:05:12	ga_ls7e_ard_3-0-0_098067_2017-12-26_final
2017-12-26 10:05:35	ga_ls7e_ard_3-0-0_098068_2017-12-26_final
2017-12-27 10:48:50	ga_ls7e_ard_3-0-0_105068_2017-12-27_final
2017-12-28 09:52:48	ga_ls7e_ard_3-0-0_096067_2017-12-28_final
2017-12-28 11:31:41	ga_ls7e_ard_3-0-0_112067_2017-12-28_final
2018-01-20 11:37:33	ga_ls7e_ard_3-0-0_113067_2018-01-20_final
2018-01-22 09:46:16	ga_ls7e_ard_3-0-0_095067_2018-01-22_final
2018-06-07 10:34:06	ga_ls7e_ard_3-0-0_103068_2018-06-07_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2018-06-08 11:16:57	ga_ls7e_ard_3-0-0_110067_2018-06-08_final
2018-06-11 10:08:55	ga_ls7e_ard_3-0-0_099067_2018-06-11_final
2018-06-11 10:09:19	ga_ls7e_ard_3-0-0_099068_2018-06-11_final
2018-06-12 10:52:33	ga_ls7e_ard_3-0-0_106068_2018-06-12_final
2018-06-13 11:35:24	ga_ls7e_ard_3-0-0_113067_2018-06-13_final
2018-07-10 11:16:19	ga_ls7e_ard_3-0-0_110067_2018-07-10_final
2018-07-13 10:08:17	ga_ls7e_ard_3-0-0_099067_2018-07-13_final
2018-07-26 11:16:03	ga_ls7e_ard_3-0-0_110067_2018-07-26_final
2018-07-29 10:08:01	ga_ls7e_ard_3-0-0_099067_2018-07-29_final
2018-07-30 10:51:40	ga_ls7e_ard_3-0-0_106068_2018-07-30_final
2018-07-31 11:34:30	ga_ls7e_ard_3-0-0_113067_2018-07-31_final
2020-02-27 11:13:39	ga_ls7e_ard_3-1-0_113067_2020-02-27_final
2020-02-29 09:22:18	ga_ls7e_ard_3-1-0_095067_2020-02-28_final
2020-03-05 09:40:34	ga_ls7e_ard_3-1-0_098067_2020-03-05_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-03-07 09:28:06	ga_ls7e_ard_3-1-0_096067_2020-03-06_final
2020-03-16 11:00:19	ga_ls7e_ard_3-1-0_111067_2020-03-16_final
2020-03-21 11:18:34	ga_ls7e_ard_3-1-0_114067_2020-03-21_final
2020-03-23 09:27:13	ga_ls7e_ard_3-1-0_096067_2020-03-22_final
2020-03-25 09:14:45	ga_ls7e_ard_3-1-0_094067_2020-03-24_final
2020-03-25 10:53:38	ga_ls7e_ard_3-1-0_110067_2020-03-25_final
2020-04-29 09:43:37	ga_ls7e_ard_3-1-0_099067_2020-04-29_final
2020-05-01 11:10:01	ga_ls7e_ard_3-1-0_113067_2020-05-01_final
2020-05-17 11:09:03	ga_ls7e_ard_3-1-0_113067_2020-05-17_final
2020-05-19 09:17:41	ga_ls7e_ard_3-1-0_095067_2020-05-18_final
2020-05-19 10:56:34	ga_ls7e_ard_3-1-0_111067_2020-05-19_final
2020-05-26 09:23:25	ga_ls7e_ard_3-1-0_096067_2020-05-25_final
2020-05-26 11:02:18	ga_ls7e_ard_3-1-0_112067_2020-05-26_final
2020-05-28 09:10:57	ga_ls7e_ard_3-1-0_094067_2020-05-27_final
2020-05-28 10:49:50	ga_ls7e_ard_3-1-0_110067_2020-05-28_final
2020-06-02 11:08:05	ga_ls7e_ard_3-1-0_113067_2020-06-02_final
2020-06-04 09:16:44	ga_ls7e_ard_3-1-0_095067_2020-06-03_final
2020-06-04 10:55:36	ga_ls7e_ard_3-1-0_111067_2020-06-04_final
2020-07-18 09:38:50	ga_ls7e_ard_3-1-0_099067_2020-07-18_final
2020-07-20 11:05:13	ga_ls7e_ard_3-1-0_113067_2020-07-20_final
2020-07-22 09:13:52	ga_ls7e_ard_3-1-0_095067_2020-07-21_final
2021-04-20 08:54:31	ga_ls7e_ard_3-2-0_095067_2021-04-19_final
2021-04-20 10:33:24	ga_ls7e_ard_3-2-0_111067_2021-04-20_final
2021-04-27 10:38:59	ga_ls7e_ard_3-2-0_112067_2021-04-27_final
2021-04-29 10:26:27	ga_ls7e_ard_3-2-0_110067_2021-04-29_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