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
1999-10-22 09:55:47	ga_ls7e_ard_3-0-0_098067_1999-10-22_final
1999-10-22 11:34:40	ga_ls7e_ard_3-0-0_114067_1999-10-22_final
1999-10-24 09:43:27	ga_ls7e_ard_3-0-0_096067_1999-10-24_final
1999-12-29 11:09:53	ga_ls7e_ard_3-0-0_110067_1999-12-29_final
2000-02-27 09:55:35	ga_ls7e_ard_3-0-0_098067_2000-02-27_final
2000-03-30 09:55:29	ga_ls7e_ard_3-0-0_098067_2000-03-30_final
2000-03-30 11:34:22	ga_ls7e_ard_3-0-0_114067_2000-03-30_final
2000-04-01 09:43:06	ga_ls7e_ard_3-0-0_096067_2000-04-01_final
2000-04-19 11:09:22	ga_ls7e_ard_3-0-0_110067_2000-04-19_final
2000-04-22 10:01:26	ga_ls7e_ard_3-0-0_099067_2000-04-22_final
2000-04-24 11:27:58	ga_ls7e_ard_3-0-0_113067_2000-04-24_final
2000-04-26 11:15:37	ga_ls7e_ard_3-0-0_111067_2000-04-26_final
2000-04-28 09:24:22	ga_ls7e_ard_3-0-0_093067_2000-04-27_final
2000-05-01 09:55:14	ga_ls7e_ard_3-0-0_098067_2000-05-01_final
2007-12-15 09:53:15	ga_ls7e_ard_3-0-0_098067_2007-12-15_final
2007-12-15 11:32:08	ga_ls7e_ard_3-0-0_114067_2007-12-15_final
2007-12-26 09:34:45	ga_ls7e_ard_3-0-0_095067_2007-12-26_final
2007-12-26 11:13:38	ga_ls7e_ard_3-0-0_111067_2007-12-26_final
2007-12-28 09:22:23	ga_ls7e_ard_3-0-0_093067_2007-12-27_final
2008-04-14 11:25:47	ga_ls7e_ard_3-0-0_113067_2008-04-14_final
2008-04-16 09:34:32	ga_ls7e_ard_3-0-0_095067_2008-04-16_final
2008-04-16 11:13:25	ga_ls7e_ard_3-0-0_111067_2008-04-16_final
2008-04-21 09:53:03	ga_ls7e_ard_3-0-0_098067_2008-04-21_final
2008-04-21 11:31:57	ga_ls7e_ard_3-0-0_114067_2008-04-21_final
2008-05-18 11:13:16	ga_ls7e_ard_3-0-0_111067_2008-05-18_final
2008-06-28 11:06:43	ga_ls7e_ard_3-0-0_110067_2008-06-28_final
2008-07-01 09:58:42	ga_ls7e_ard_3-0-0_099067_2008-07-01_final
2008-07-03 11:25:12	ga_ls7e_ard_3-0-0_113067_2008-07-03_final
2008-08-11 11:31:01	ga_ls7e_ard_3-0-0_114067_2008-08-11_final
2008-08-13 09:39:46	ga_ls7e_ard_3-0-0_096067_2008-08-13_final
2008-08-13 11:18:39	ga_ls7e_ard_3-0-0_112067_2008-08-13_final
2008-08-27 11:30:54	ga_ls7e_ard_3-0-0_114067_2008-08-27_final
2008-08-29 09:39:39	ga_ls7e_ard_3-0-0_096067_2008-08-29_final
2008-08-29 11:18:32	ga_ls7e_ard_3-0-0_112067_2008-08-29_final
2008-08-31 09:27:16	ga_ls7e_ard_3-1-0_094067_2008-08-30_final
2008-09-12 09:51:53	ga_ls7e_ard_3-0-0_098067_2008-09-12_final
2008-09-12 11:30:46	ga_ls7e_ard_3-0-0_114067_2008-09-12_final
2008-09-14 11:18:24	ga_ls7e_ard_3-0-0_112067_2008-09-14_final
2008-09-16 09:27:08	ga_ls7e_ard_3-1-0_094067_2008-09-15_final
2008-09-16 11:06:01	ga_ls7e_ard_3-0-0_110067_2008-09-16_final
2008-10-21 09:57:54	ga_ls7e_ard_3-0-0_099067_2008-10-21_final
2008-10-30 11:30:45	ga_ls7e_ard_3-0-0_114067_2008-10-30_final
2008-11-01 09:39:32	ga_ls7e_ard_3-0-0_096067_2008-11-01_final
2008-11-01 11:18:25	ga_ls7e_ard_3-0-0_112067_2008-11-01_final
2008-11-03 09:27:13	ga_ls7e_ard_3-1-0_094067_2008-11-02_final
2008-11-03 11:06:06	ga_ls7e_ard_3-0-0_110067_2008-11-03_final
2008-11-05 09:14:53	ga_ls7e_ard_3-0-0_092067_2008-11-04_final
2008-12-10 11:25:06	ga_ls7e_ard_3-0-0_113067_2008-12-10_final
2009-01-20 09:40:19	ga_ls7e_ard_3-0-0_096067_2009-01-20_final
2009-01-29 09:34:10	ga_ls7e_ard_3-0-0_095067_2009-01-29_final
2009-01-31 09:21:49	ga_ls7e_ard_3-0-0_093067_2009-01-30_final
2009-02-07 09:28:03	ga_ls7e_ard_3-1-0_094067_2009-02-06_final
2009-02-10 09:58:59	ga_ls7e_ard_3-0-0_099067_2009-02-10_final
2009-02-12 11:25:32	ga_ls7e_ard_3-0-0_113067_2009-02-12_final
2009-02-14 09:34:18	ga_ls7e_ard_3-0-0_095067_2009-02-14_final
2009-02-14 11:13:11	ga_ls7e_ard_3-0-0_111067_2009-02-14_final
2009-02-16 09:21:58	ga_ls7e_ard_3-0-0_093067_2009-02-15_final
2009-02-21 09:40:33	ga_ls7e_ard_3-0-0_096067_2009-02-21_final
2009-02-21 11:19:26	ga_ls7e_ard_3-0-0_112067_2009-02-21_final
2009-03-07 09:53:02	ga_ls7e_ard_3-0-0_098067_2009-03-07_final
2009-04-08 09:53:15	ga_ls7e_ard_3-0-0_098067_2009-04-08_final
2009-04-08 11:32:09	ga_ls7e_ard_3-0-0_114067_2009-04-08_final
2019-11-05 09:52:50	ga_ls7e_ard_3-1-0_099067_2019-11-05_final
2019-11-07 11:19:15	ga_ls7e_ard_3-1-0_113067_2019-11-07_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
2019-12-04 09:20:33	ga_ls7e_ard_3-1-0_094067_2019-12-03_final
2019-12-04 10:59:26	ga_ls7e_ard_3-1-0_110067_2019-12-04_final
2019-12-07 09:51:18	ga_ls7e_ard_3-1-0_099067_2019-12-07_final
2019-12-11 09:26:23	ga_ls7e_ard_3-1-0_095067_2019-12-10_final
2019-12-11 11:05:16	ga_ls7e_ard_3-1-0_111067_2019-12-11_final
2019-12-23 09:50:30	ga_ls7e_ard_3-1-0_099067_2019-12-23_final
2019-12-25 11:16:55	ga_ls7e_ard_3-1-0_113067_2019-12-25_final
2019-12-27 09:25:34	ga_ls7e_ard_3-1-0_095067_2019-12-26_final
2019-12-27 11:04:27	ga_ls7e_ard_3-1-0_111067_2019-12-27_final
2020-01-01 09:43:51	ga_ls7e_ard_3-1-0_098067_2020-01-01_final
2020-01-01 11:22:44	ga_ls7e_ard_3-1-0_114067_2020-01-01_final
2020-01-05 09:18:55	ga_ls7e_ard_3-1-0_094067_2020-01-04_final
2020-01-17 09:43:03	ga_ls7e_ard_3-1-0_098067_2020-01-17_final
2020-01-19 09:30:35	ga_ls7e_ard_3-1-0_096067_2020-01-19_final
2020-02-02 11:21:08	ga_ls7e_ard_3-1-0_114067_2020-02-02_final
2020-02-04 11:08:40	ga_ls7e_ard_3-1-0_112067_2020-02-04_final
2020-02-06 09:17:19	ga_ls7e_ard_3-1-0_094067_2020-02-05_final
2020-02-20 09:28:57	ga_ls7e_ard_3-1-0_096067_2020-02-19_final
2020-02-22 09:16:29	ga_ls7e_ard_3-1-0_094067_2020-02-21_final
2020-02-22 10:55:22	ga_ls7e_ard_3-1-0_110067_2020-02-22_final
2020-03-14 11:12:47	ga_ls7e_ard_3-1-0_113067_2020-03-14_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
2020-04-08 11:05:12	ga_ls7e_ard_3-1-0_112067_2020-04-08_final
2020-04-10 09:13:50	ga_ls7e_ard_3-1-0_094067_2020-04-09_final
2020-04-10 10:52:43	ga_ls7e_ard_3-1-0_110067_2020-04-10_final
2020-05-03 09:18:40	ga_ls7e_ard_3-1-0_095067_2020-05-02_final
2020-05-03 10:57:33	ga_ls7e_ard_3-1-0_111067_2020-05-03_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

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