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
1999-07-25 10:01:57	ga_ls7e_ard_3-0-0_099067_1999-07-25_final
1999-07-27 11:28:30	ga_ls7e_ard_3-0-0_113067_1999-07-27_final
1999-07-29 09:37:17	ga_ls7e_ard_3-0-0_095067_1999-07-29_final
2000-01-03 11:28:28	ga_ls7e_ard_3-0-0_113067_2000-01-03_final
2000-01-05 09:37:14	ga_ls7e_ard_3-0-0_095067_2000-01-05_final
2000-01-05 11:16:07	ga_ls7e_ard_3-0-0_111067_2000-01-05_final
2000-02-04 11:28:26	ga_ls7e_ard_3-0-0_113067_2000-02-04_final
2000-02-06 09:37:10	ga_ls7e_ard_3-0-0_095067_2000-02-06_final
2000-02-06 11:16:03	ga_ls7e_ard_3-1-0_111067_2000-02-06_final
2000-02-11 09:55:41	ga_ls7e_ard_3-0-0_098067_2000-02-11_final
2000-02-13 09:43:19	ga_ls7e_ard_3-0-0_096067_2000-02-13_final
2000-02-17 09:18:34	ga_ls7e_ard_3-0-0_092067_2000-02-16_final
2000-02-18 10:01:49	ga_ls7e_ard_3-0-0_099067_2000-02-18_final
2003-04-24 09:51:41	ga_ls7e_ard_3-0-0_098067_2003-04-24_final
2003-04-24 09:52:05	ga_ls7e_ard_3-0-0_098068_2003-04-24_final
2003-04-24 11:30:34	ga_ls7e_ard_3-0-0_114067_2003-04-24_final
2003-04-25 10:35:21	ga_ls7e_ard_3-0-0_105068_2003-04-25_final
2003-04-26 11:18:13	ga_ls7e_ard_3-0-0_112067_2003-04-26_final
2003-04-27 10:23:00	ga_ls7e_ard_3-0-0_103068_2003-04-27_final
2003-04-28 09:26:59	ga_ls7e_ard_3-1-0_094067_2003-04-27_final
2003-05-26 11:30:32	ga_ls7e_ard_3-0-0_114067_2003-05-26_final
2003-05-27 10:35:18	ga_ls7e_ard_3-0-0_105068_2003-05-27_final
2003-05-28 11:18:10	ga_ls7e_ard_3-0-0_112067_2003-05-28_final
2003-08-30 09:51:18	ga_ls7e_ard_3-0-0_098067_2003-08-30_final
2003-08-30 09:51:42	ga_ls7e_ard_3-0-0_098068_2003-08-30_final
2003-08-30 11:30:11	ga_ls7e_ard_3-0-0_114067_2003-08-30_final
2003-08-31 10:34:57	ga_ls7e_ard_3-0-0_105068_2003-08-31_final
2003-09-01 11:17:49	ga_ls7e_ard_3-0-0_112067_2003-09-01_final
2003-09-02 10:22:35	ga_ls7e_ard_3-0-0_103068_2003-09-02_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
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
2008-07-05 09:33:56	ga_ls7e_ard_3-0-0_095067_2008-07-05_final
2008-07-05 11:12:49	ga_ls7e_ard_3-0-0_111067_2008-07-05_final
2008-07-07 09:21:33	ga_ls7e_ard_3-0-0_093067_2008-07-06_final
2008-07-10 09:52:25	ga_ls7e_ard_3-0-0_098067_2008-07-10_final
2008-07-21 09:33:44	ga_ls7e_ard_3-0-0_095067_2008-07-21_final
2008-07-26 09:52:14	ga_ls7e_ard_3-0-0_098067_2008-07-26_final
2008-08-06 09:33:38	ga_ls7e_ard_3-0-0_095067_2008-08-06_final
2008-08-06 11:12:31	ga_ls7e_ard_3-0-0_111067_2008-08-06_final
2008-08-08 09:21:15	ga_ls7e_ard_3-0-0_093067_2008-08-07_final
2008-09-21 11:24:30	ga_ls7e_ard_3-0-0_113067_2008-09-21_final
2008-09-23 11:12:07	ga_ls7e_ard_3-0-0_111067_2008-09-23_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
2008-12-30 09:21:40	ga_ls7e_ard_3-0-0_093067_2008-12-29_final
2009-01-02 09:52:34	ga_ls7e_ard_3-0-0_098067_2009-01-02_final
2009-02-23 09:28:13	ga_ls7e_ard_3-1-0_094067_2009-02-22_final
2009-02-23 11:07:06	ga_ls7e_ard_3-0-0_110067_2009-02-23_final
2019-10-15 09:35:12	ga_ls7e_ard_3-1-0_096067_2019-10-15_final
2019-10-15 11:14:05	ga_ls7e_ard_3-1-0_112067_2019-10-15_final
2019-10-17 09:22:46	ga_ls7e_ard_3-1-0_094067_2019-10-16_final
2019-10-17 11:01:38	ga_ls7e_ard_3-1-0_110067_2019-10-17_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-10-29 11:25:50	ga_ls7e_ard_3-1-0_114067_2019-10-29_final
2019-11-09 11:06:48	ga_ls7e_ard_3-1-0_111067_2019-11-09_final
2019-11-14 09:46:14	ga_ls7e_ard_3-1-0_098067_2019-11-14_final
2019-11-14 11:25:07	ga_ls7e_ard_3-1-0_114067_2019-11-14_final
2019-11-30 09:45:28	ga_ls7e_ard_3-1-0_098067_2019-11-30_final
2019-11-30 11:24:21	ga_ls7e_ard_3-1-0_114067_2019-11-30_final
2019-12-02 09:33:01	ga_ls7e_ard_3-1-0_096067_2019-12-02_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
2019-12-11 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
2019-12-16 09:44:41	ga_ls7e_ard_3-1-0_098067_2019-12-16_final
2019-12-16 11:23:33	ga_ls7e_ard_3-1-0_114067_2019-12-16_final
2019-12-18 09:32:13	ga_ls7e_ard_3-1-0_096067_2019-12-18_final
2019-12-18 11:11:06	ga_ls7e_ard_3-1-0_112067_2019-12-18_final
2019-12-20 09:19:45	ga_ls7e_ard_3-1-0_094067_2019-12-19_final
2019-12-20 10:58:38	ga_ls7e_ard_3-1-0_110067_2019-12-20_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
2020-01-17 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
2020-01-21 09:18:08	ga_ls7e_ard_3-1-0_094067_2020-01-20_final
2020-01-21 10:57:00	ga_ls7e_ard_3-1-0_110067_2020-01-21_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_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
2020-02-25 09:47:14	ga_ls7e_ard_3-1-0_099067_2020-02-25_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
2020-02-29 11:01:11	ga_ls7e_ard_3-1-0_111067_2020-02-29_final
2020-03-05 09:40:34	ga_ls7e_ard_3-1-0_098067_2020-03-05_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
2020-05-03 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
2020-06-18 11:07:09	ga_ls7e_ard_3-1-0_113067_2020-06-18_final
2020-06-20 09:15:48	ga_ls7e_ard_3-1-0_095067_2020-06-19_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