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
2008-04-05 09:53:29	ga_ls7e_ard_3-0-0_098068_2008-04-05_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
2008-07-12 09:40:02	ga_ls7e_ard_3-0-0_096067_2008-07-12_final
2008-07-14 09:27:38	ga_ls7e_ard_3-1-0_094067_2008-07-13_final
2008-07-17 09:58:30	ga_ls7e_ard_3-0-0_099067_2008-07-17_final
2008-07-26 11:31:07	ga_ls7e_ard_3-0-0_114067_2008-07-26_final
2008-07-28 11:18:45	ga_ls7e_ard_3-0-0_112067_2008-07-28_final
2008-07-30 09:27:29	ga_ls7e_ard_3-1-0_094067_2008-07-29_final
2008-07-30 11:06:22	ga_ls7e_ard_3-0-0_110067_2008-07-30_final
2008-08-31 11:06:09	ga_ls7e_ard_3-0-0_110067_2008-08-31_final
2008-09-03 09:58:09	ga_ls7e_ard_3-0-0_099067_2008-09-03_final
2008-10-25 11:12:08	ga_ls7e_ard_3-0-0_111067_2008-10-25_final
2008-11-06 09:58:09	ga_ls7e_ard_3-0-0_099067_2008-11-06_final
2008-11-06 09:58:33	ga_ls7e_ard_3-0-0_099068_2008-11-06_final
2008-11-08 11:24:43	ga_ls7e_ard_3-0-0_113067_2008-11-08_final
2008-11-09 10:29:30	ga_ls7e_ard_3-0-0_104068_2008-11-09_final
2008-11-10 09:33:29	ga_ls7e_ard_3-0-0_095067_2008-11-10_final
2008-11-10 11:12:23	ga_ls7e_ard_3-0-0_111067_2008-11-10_final
2008-11-10 11:12:47	ga_ls7e_ard_3-0-0_111068_2008-11-10_final
2008-11-12 09:21:10	ga_ls7e_ard_3-0-0_093067_2008-11-11_final
2008-11-15 09:52:06	ga_ls7e_ard_3-0-0_098067_2008-11-15_final
2008-11-15 09:52:30	ga_ls7e_ard_3-0-0_098068_2008-11-15_final
2008-11-17 09:39:46	ga_ls7e_ard_3-0-0_096067_2008-11-17_final
2008-11-17 11:18:39	ga_ls7e_ard_3-0-0_112067_2008-11-17_final
2008-11-19 09:27:26	ga_ls7e_ard_3-1-0_094067_2008-11-18_final
2008-11-19 11:06:19	ga_ls7e_ard_3-0-0_110067_2008-11-19_final
2008-11-21 09:15:06	ga_ls7e_ard_3-0-0_092067_2008-11-20_final
2008-11-21 09:15:30	ga_ls7e_ard_3-0-0_092068_2008-11-20_final
2008-12-03 09:39:57	ga_ls7e_ard_3-0-0_096067_2008-12-03_final
2008-12-05 09:27:37	ga_ls7e_ard_3-1-0_094067_2008-12-04_final
2008-12-10 11:25:06	ga_ls7e_ard_3-0-0_113067_2008-12-10_final
2008-12-11 10:29:53	ga_ls7e_ard_3-0-0_104068_2008-12-11_final
2009-01-03 10:36:14	ga_ls7e_ard_3-0-0_105068_2009-01-03_final
2009-01-22 09:27:58	ga_ls7e_ard_3-0-0_094067_2009-01-21_final
2009-01-22 11:06:51	ga_ls7e_ard_3-0-0_110067_2009-01-22_final
2009-01-24 09:15:37	ga_ls7e_ard_3-0-0_092067_2009-01-23_final
2009-01-25 09:58:53	ga_ls7e_ard_3-0-0_099067_2009-01-25_final
2009-01-27 11:25:25	ga_ls7e_ard_3-0-0_113067_2009-01-27_final
2009-02-06 10:24:04	ga_ls7e_ard_3-0-0_103068_2009-02-06_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
2009-02-15 10:17:58	ga_ls7e_ard_3-0-0_102068_2009-02-15_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
2009-03-02 09:34:27	ga_ls7e_ard_3-0-0_095067_2009-03-02_final
2009-03-07 09:53:02	ga_ls7e_ard_3-0-0_098067_2009-03-07_final
2009-03-09 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-03-09_final
2009-03-09 11:19:35	ga_ls7e_ard_3-0-0_112067_2009-03-09_final
2009-03-11 09:28:21	ga_ls7e_ard_3-1-0_094067_2009-03-10_final
2009-03-11 11:07:14	ga_ls7e_ard_3-0-0_110067_2009-03-11_final
2009-03-16 11:25:49	ga_ls7e_ard_3-0-0_113067_2009-03-16_final
2009-03-18 09:34:35	ga_ls7e_ard_3-0-0_095067_2009-03-18_final
2009-03-18 11:13:28	ga_ls7e_ard_3-0-0_111067_2009-03-18_final
2009-03-20 09:22:14	ga_ls7e_ard_3-0-0_093067_2009-03-19_final
2009-03-23 09:53:10	ga_ls7e_ard_3-0-0_098067_2009-03-23_final
2009-03-23 11:32:03	ga_ls7e_ard_3-0-0_114067_2009-03-23_final
2009-03-27 11:07:21	ga_ls7e_ard_3-0-0_110067_2009-03-27_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
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
2021-03-12 08:51:32	ga_ls7e_ard_3-2-0_094067_2021-03-11_final
2021-03-12 10:30:25	ga_ls7e_ard_3-2-0_110067_2021-03-12_final
2021-03-15 09:22:12	ga_ls7e_ard_3-2-0_099067_2021-03-14_final
2021-03-17 10:48:33	ga_ls7e_ard_3-2-0_113067_2021-03-17_final
2021-03-19 08:57:10	ga_ls7e_ard_3-2-0_095067_2021-03-18_final
2021-03-19 10:36:02	ga_ls7e_ard_3-2-0_111067_2021-03-19_final
2021-03-24 09:15:18	ga_ls7e_ard_3-2-0_098067_2021-03-23_final
2021-03-24 10:54:10	ga_ls7e_ard_3-2-0_114067_2021-03-24_final
2021-03-26 09:02:46	ga_ls7e_ard_3-2-0_096067_2021-03-25_final
2021-03-26 10:41:39	ga_ls7e_ard_3-2-0_112067_2021-03-26_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-03-28 10:29:08	ga_ls7e_ard_3-2-0_110067_2021-03-28_final
2021-04-09 10:52:52	ga_ls7e_ard_3-2-0_114067_2021-04-09_final
2021-04-11 09:01:27	ga_ls7e_ard_3-2-0_096067_2021-04-10_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-04-13 08:48:56	ga_ls7e_ard_3-2-0_094067_2021-04-12_final
2021-04-13 10:27:48	ga_ls7e_ard_3-2-0_110067_2021-04-13_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
2021-05-06 08:53:10	ga_ls7e_ard_3-2-0_095067_2021-05-05_final
2021-05-06 10:32:03	ga_ls7e_ard_3-2-0_111067_2021-05-06_final
2021-07-25 08:46:27	ga_ls7e_ard_3-2-0_095067_2021-07-24_final
2021-07-25 10:25:19	ga_ls7e_ard_3-2-0_111067_2021-07-25_final
2021-07-30 09:04:33	ga_ls7e_ard_3-2-0_098067_2021-07-29_final
2021-07-30 10:43:26	ga_ls7e_ard_3-2-0_114067_2021-07-30_final
2021-08-01 08:52:01	ga_ls7e_ard_3-2-0_096067_2021-07-31_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_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