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
2001-09-09 09:51:32	ga_ls7e_ard_3-0-0_098067_2001-09-09_final
2001-09-09 09:51:56	ga_ls7e_ard_3-0-0_098068_2001-09-09_final
2001-09-09 11:30:25	ga_ls7e_ard_3-0-0_114067_2001-09-09_final
2001-09-10 10:35:11	ga_ls7e_ard_3-0-0_105068_2001-09-10_final
2001-10-18 09:57:25	ga_ls7e_ard_3-0-0_099067_2001-10-18_final
2001-10-18 09:57:48	ga_ls7e_ard_3-0-0_099068_2001-10-18_final
2001-10-19 10:41:05	ga_ls7e_ard_3-0-0_106068_2001-10-19_final
2001-10-20 11:23:57	ga_ls7e_ard_3-0-0_113067_2001-10-20_final
2001-11-28 09:51:30	ga_ls7e_ard_3-0-0_098067_2001-11-28_final
2001-11-28 09:51:54	ga_ls7e_ard_3-0-0_098068_2001-11-28_final
2001-11-28 11:30:23	ga_ls7e_ard_3-0-0_114067_2001-11-28_final
2001-11-29 10:35:10	ga_ls7e_ard_3-0-0_105068_2001-11-29_final
2001-11-30 09:39:08	ga_ls7e_ard_3-0-0_096067_2001-11-30_final
2001-12-01 10:22:47	ga_ls7e_ard_3-0-0_103068_2001-12-01_final
2001-12-02 09:26:45	ga_ls7e_ard_3-1-0_094067_2001-12-01_final
2001-12-22 10:41:28	ga_ls7e_ard_3-0-0_106068_2001-12-22_final
2001-12-23 11:24:21	ga_ls7e_ard_3-0-0_113067_2001-12-23_final
2001-12-24 10:29:07	ga_ls7e_ard_3-0-0_104068_2001-12-24_final
2001-12-25 11:11:59	ga_ls7e_ard_3-0-0_111067_2001-12-25_final
2001-12-25 11:12:23	ga_ls7e_ard_3-0-0_111068_2001-12-25_final
2001-12-26 10:16:45	ga_ls7e_ard_3-0-0_102068_2001-12-26_final
2002-01-08 11:24:23	ga_ls7e_ard_3-0-0_113067_2002-01-08_final
2002-01-09 10:29:11	ga_ls7e_ard_3-0-0_104068_2002-01-09_final
2002-01-10 09:33:10	ga_ls7e_ard_3-0-0_095067_2002-01-10_final
2002-01-10 11:12:03	ga_ls7e_ard_3-0-0_111067_2002-01-10_final
2002-01-11 10:16:50	ga_ls7e_ard_3-0-0_102068_2002-01-11_final
2002-01-12 09:20:49	ga_ls7e_ard_3-0-0_093067_2002-01-11_final
2002-01-14 09:08:51	ga_ls7e_ard_3-1-0_091068_2002-01-13_final
2002-01-15 09:51:43	ga_ls7e_ard_3-0-0_098067_2002-01-15_final
2002-01-15 09:52:07	ga_ls7e_ard_3-0-0_098068_2002-01-15_final
2002-01-15 11:30:36	ga_ls7e_ard_3-0-0_114067_2002-01-15_final
2002-01-23 10:41:39	ga_ls7e_ard_3-0-0_106068_2002-01-23_final
2002-01-24 11:24:31	ga_ls7e_ard_3-0-0_113067_2002-01-24_final
2002-01-25 10:29:17	ga_ls7e_ard_3-0-0_104068_2002-01-25_final
2008-04-21 09:53:03	ga_ls7e_ard_3-0-0_098067_2008-04-21_final
2008-04-21 09:53:27	ga_ls7e_ard_3-0-0_098068_2008-04-21_final
2008-04-21 11:31:57	ga_ls7e_ard_3-0-0_114067_2008-04-21_final
2008-04-28 09:59:13	ga_ls7e_ard_3-0-0_099067_2008-04-28_final
2008-04-28 09:59:37	ga_ls7e_ard_3-0-0_099068_2008-04-28_final
2008-04-29 10:42:52	ga_ls7e_ard_3-0-0_106068_2008-04-29_final
2008-04-30 11:25:44	ga_ls7e_ard_3-0-0_113067_2008-04-30_final
2008-05-01 10:30:30	ga_ls7e_ard_3-0-0_104068_2008-05-01_final
2008-05-14 09:59:08	ga_ls7e_ard_3-0-0_099067_2008-05-14_final
2008-05-14 09:59:32	ga_ls7e_ard_3-0-0_099068_2008-05-14_final
2008-05-15 10:42:47	ga_ls7e_ard_3-0-0_106068_2008-05-15_final
2008-05-16 11:25:38	ga_ls7e_ard_3-0-0_113067_2008-05-16_final
2008-05-17 10:30:25	ga_ls7e_ard_3-0-0_104068_2008-05-17_final
2019-11-22 10:35:42	ga_ls7e_ard_3-1-0_106068_2019-11-22_final
2019-11-23 11:18:31	ga_ls7e_ard_3-1-0_113067_2019-11-23_final
2019-11-24 10:23:14	ga_ls7e_ard_3-1-0_104068_2019-11-24_final
2019-11-25 09:27:10	ga_ls7e_ard_3-1-0_095067_2019-11-24_final
2019-11-25 11:06:03	ga_ls7e_ard_3-1-0_111067_2019-11-25_final
2019-11-25 11:06:27	ga_ls7e_ard_3-1-0_111068_2019-11-25_final
2019-11-26 10:10:47	ga_ls7e_ard_3-1-0_102068_2019-11-26_final
2020-01-10 11:16:05	ga_ls7e_ard_3-1-0_113067_2020-01-10_final
2020-01-12 09:24:45	ga_ls7e_ard_3-1-0_095067_2020-01-11_final
2020-01-13 10:08:21	ga_ls7e_ard_3-1-0_102068_2020-01-13_final
2020-02-18 09:41:25	ga_ls7e_ard_3-1-0_098067_2020-02-18_final
2020-02-18 09:41:49	ga_ls7e_ard_3-1-0_098068_2020-02-18_final
2020-02-18 11:20:18	ga_ls7e_ard_3-1-0_114067_2020-02-18_final
2020-05-25 10:19:30	ga_ls7e_ard_3-1-0_105068_2020-05-25_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
2020-05-27 10:07:01	ga_ls7e_ard_3-1-0_103068_2020-05-27_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
2020-07-06 10:53:43	ga_ls7e_ard_3-1-0_111067_2020-07-06_final
2020-07-06 10:54:07	ga_ls7e_ard_3-1-0_111068_2020-07-06_final
2020-07-07 09:58:26	ga_ls7e_ard_3-1-0_102068_2020-07-07_final
2020-07-11 09:33:04	ga_ls7e_ard_3-1-0_098067_2020-07-11_final
2020-07-11 09:33:28	ga_ls7e_ard_3-1-0_098068_2020-07-11_final
2020-07-11 11:11:57	ga_ls7e_ard_3-1-0_114067_2020-07-11_final
2020-07-14 10:04:11	ga_ls7e_ard_3-1-0_103068_2020-07-14_final
2020-07-15 10:46:59	ga_ls7e_ard_3-1-0_110067_2020-07-15_final
2020-07-18 09:38:50	ga_ls7e_ard_3-1-0_099067_2020-07-18_final
2020-07-18 09:39:14	ga_ls7e_ard_3-1-0_099068_2020-07-18_final
2020-07-19 10:22:25	ga_ls7e_ard_3-1-0_106068_2020-07-19_final
2020-08-12 09:31:05	ga_ls7e_ard_3-1-0_098067_2020-08-12_final
2020-08-12 09:31:29	ga_ls7e_ard_3-1-0_098068_2020-08-12_final
2020-08-12 11:09:58	ga_ls7e_ard_3-1-0_114067_2020-08-12_final
2020-08-13 10:14:41	ga_ls7e_ard_3-1-0_105068_2020-08-13_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-09-05 10:19:22	ga_ls7e_ard_3-1-0_106068_2020-09-05_final
2020-09-06 11:02:10	ga_ls7e_ard_3-1-0_113067_2020-09-06_final
2020-09-07 10:06:53	ga_ls7e_ard_3-1-0_104068_2020-09-07_final
2020-09-29 09:27:57	ga_ls7e_ard_3-1-0_098067_2020-09-28_final
2020-09-29 09:28:21	ga_ls7e_ard_3-1-0_098068_2020-09-28_final
2020-09-30 10:11:33	ga_ls7e_ard_3-1-0_105068_2020-09-30_final
2020-10-01 10:54:21	ga_ls7e_ard_3-1-0_112067_2020-10-01_final
2020-10-19 10:40:50	ga_ls7e_ard_3-1-0_110067_2020-10-19_final
2020-10-22 09:32:39	ga_ls7e_ard_3-1-0_099067_2020-10-22_final
2020-10-22 09:33:03	ga_ls7e_ard_3-1-0_099068_2020-10-22_final
2020-10-23 10:16:15	ga_ls7e_ard_3-1-0_106068_2020-10-23_final
2020-10-24 10:59:03	ga_ls7e_ard_3-1-0_113067_2020-10-24_final
2020-11-09 10:57:58	ga_ls7e_ard_3-1-0_113067_2020-11-09_final
2020-11-10 10:02:41	ga_ls7e_ard_3-1-0_104068_2020-11-10_final
2020-11-11 09:06:35	ga_ls7e_ard_3-1-0_095067_2020-11-10_final
2020-11-11 10:45:52	ga_ls7e_ard_3-1-0_111068_2020-11-11_final
2020-11-12 09:50:11	ga_ls7e_ard_3-1-0_102068_2020-11-12_final
2020-12-02 09:23:38	ga_ls7e_ard_3-1-0_098067_2020-12-01_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