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
2008-04-21 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
2008-04-28 09:59:13	ga_ls7e_ard_3-0-0_099067_2008-04-28_final
2008-04-30 11:25:44	ga_ls7e_ard_3-0-0_113067_2008-04-30_final
2010-01-14 11:27:09	ga_ls7e_ard_3-0-0_113067_2010-01-14_final
2010-01-16 09:35:56	ga_ls7e_ard_3-0-0_095067_2010-01-16_final
2010-02-01 09:36:09	ga_ls7e_ard_3-0-0_095067_2010-02-01_final
2010-02-01 11:15:02	ga_ls7e_ard_3-0-0_111067_2010-02-01_final
2010-02-17 09:36:20	ga_ls7e_ard_3-0-0_095067_2010-02-17_final
2010-02-17 11:15:13	ga_ls7e_ard_3-0-0_111067_2010-02-17_final
2010-02-18 10:20:01	ga_ls7e_ard_3-0-0_102068_2010-02-18_final
2010-02-26 09:30:14	ga_ls7e_ard_3-1-0_094067_2010-02-26_final
2010-02-26 11:09:07	ga_ls7e_ard_3-0-0_110067_2010-02-26_final
2010-03-01 10:01:10	ga_ls7e_ard_3-0-0_099067_2010-03-01_final
2010-03-05 09:36:28	ga_ls7e_ard_3-0-0_095067_2010-03-05_final
2010-03-05 11:15:22	ga_ls7e_ard_3-0-0_111067_2010-03-05_final
2010-03-07 09:24:08	ga_ls7e_ard_3-0-0_093067_2010-03-06_final
2010-03-19 11:27:48	ga_ls7e_ard_3-0-0_113067_2010-03-19_final
2010-03-21 09:36:34	ga_ls7e_ard_3-0-0_095067_2010-03-21_final
2010-03-21 11:15:27	ga_ls7e_ard_3-0-0_111067_2010-03-21_final
2010-03-23 09:24:13	ga_ls7e_ard_3-0-0_093067_2010-03-22_final
2010-04-11 09:55:10	ga_ls7e_ard_3-1-0_098067_2010-04-11_final
2010-04-11 11:34:03	ga_ls7e_ard_3-0-0_114067_2010-04-11_final
2010-04-13 09:42:48	ga_ls7e_ard_3-0-0_096067_2010-04-13_final
2010-04-15 09:30:27	ga_ls7e_ard_3-1-0_094067_2010-04-15_final
2010-04-15 11:09:20	ga_ls7e_ard_3-0-0_110067_2010-04-15_final
2010-04-29 11:21:40	ga_ls7e_ard_3-0-0_112067_2010-04-29_final
2010-05-01 09:30:25	ga_ls7e_ard_3-1-0_094067_2010-05-01_final
2010-05-01 11:09:18	ga_ls7e_ard_3-0-0_110067_2010-05-01_final
2010-05-06 11:27:49	ga_ls7e_ard_3-0-0_113067_2010-05-06_final
2010-05-08 11:15:27	ga_ls7e_ard_3-0-0_111067_2010-05-08_final
2010-06-07 11:27:47	ga_ls7e_ard_3-0-0_113067_2010-06-07_final
2010-06-09 09:36:33	ga_ls7e_ard_3-0-0_095067_2010-06-09_final
2010-06-09 11:15:26	ga_ls7e_ard_3-0-0_111067_2010-06-09_final
2010-06-11 09:24:11	ga_ls7e_ard_3-0-0_093067_2010-06-10_final
2010-06-25 09:36:35	ga_ls7e_ard_3-0-0_095067_2010-06-25_final
2010-06-25 11:15:28	ga_ls7e_ard_3-0-0_111067_2010-06-25_final
2010-06-30 11:34:01	ga_ls7e_ard_3-0-0_114067_2010-06-30_final
2010-07-25 11:27:53	ga_ls7e_ard_3-0-0_113067_2010-07-25_final
2010-07-27 11:15:31	ga_ls7e_ard_3-0-0_111067_2010-07-27_final
2017-01-24 10:04:59	ga_ls7e_ard_3-0-0_098067_2017-01-24_final
2017-01-24 11:43:52	ga_ls7e_ard_3-0-0_114067_2017-01-24_final
2017-02-04 11:25:17	ga_ls7e_ard_3-0-0_111067_2017-02-04_final
2017-02-13 09:40:09	ga_ls7e_ard_3-1-0_094067_2017-02-13_final
2017-02-13 11:19:03	ga_ls7e_ard_3-0-0_110067_2017-02-13_final
2017-02-25 10:05:00	ga_ls7e_ard_3-0-0_098067_2017-02-25_final
2017-02-25 11:43:53	ga_ls7e_ard_3-0-0_114067_2017-02-25_final
2017-02-27 11:31:32	ga_ls7e_ard_3-0-0_112067_2017-02-27_final
2017-03-01 09:40:18	ga_ls7e_ard_3-1-0_094067_2017-03-01_final
2017-03-01 11:19:12	ga_ls7e_ard_3-0-0_110067_2017-03-01_final
2017-03-04 10:11:14	ga_ls7e_ard_3-0-0_099067_2017-03-04_final
2017-03-24 09:46:37	ga_ls7e_ard_3-0-0_095067_2017-03-24_final
2017-03-24 11:25:31	ga_ls7e_ard_3-0-0_111067_2017-03-24_final
2017-03-25 10:30:17	ga_ls7e_ard_3-0-0_102068_2017-03-25_final
2017-03-31 11:31:43	ga_ls7e_ard_3-0-0_112067_2017-03-31_final
2017-04-02 09:40:29	ga_ls7e_ard_3-1-0_094067_2017-04-02_final
2017-04-05 10:11:23	ga_ls7e_ard_3-0-0_099067_2017-04-05_final
2017-04-23 11:38:03	ga_ls7e_ard_3-0-0_113067_2017-04-23_final
2017-04-25 09:46:49	ga_ls7e_ard_3-0-0_095067_2017-04-25_final
2017-04-25 11:25:42	ga_ls7e_ard_3-0-0_111067_2017-04-25_final
2017-05-07 10:11:36	ga_ls7e_ard_3-0-0_099067_2017-05-07_final
2017-05-09 11:38:07	ga_ls7e_ard_3-0-0_113067_2017-05-09_final
2017-05-11 11:25:46	ga_ls7e_ard_3-0-0_111067_2017-05-11_final
2017-05-12 10:30:33	ga_ls7e_ard_3-0-0_102068_2017-05-12_final
2017-05-25 11:38:10	ga_ls7e_ard_3-0-0_113067_2017-05-25_final
2017-05-27 09:46:56	ga_ls7e_ard_3-0-0_095067_2017-05-27_final
2017-05-27 11:25:49	ga_ls7e_ard_3-0-0_111067_2017-05-27_final
2017-06-28 11:25:56	ga_ls7e_ard_3-0-0_111067_2017-06-28_final
2017-07-03 11:44:29	ga_ls7e_ard_3-0-0_114067_2017-07-03_final
2017-07-19 11:44:30	ga_ls7e_ard_3-0-0_114067_2017-07-19_final
2017-07-21 09:53:15	ga_ls7e_ard_3-0-0_096067_2017-07-21_final
2017-07-21 11:32:08	ga_ls7e_ard_3-0-0_112067_2017-07-21_final
2017-07-28 11:38:18	ga_ls7e_ard_3-0-0_113067_2017-07-28_final
2017-07-30 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-07-30_final
2017-07-30 11:25:56	ga_ls7e_ard_3-0-0_111067_2017-07-30_final
2017-07-30 11:26:20	ga_ls7e_ard_3-0-0_111068_2017-07-30_final
2017-08-06 11:32:06	ga_ls7e_ard_3-0-0_112067_2017-08-06_final
2017-08-08 09:40:51	ga_ls7e_ard_3-0-0_094067_2017-08-08_final
2017-08-08 11:19:44	ga_ls7e_ard_3-0-0_110067_2017-08-08_final
2017-08-15 11:25:54	ga_ls7e_ard_3-0-0_111067_2017-08-15_final
2017-08-20 10:05:33	ga_ls7e_ard_3-0-0_098067_2017-08-20_final
2017-08-20 10:05:57	ga_ls7e_ard_3-0-0_098068_2017-08-20_final
2017-08-20 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-08-20_final
2017-08-21 10:49:13	ga_ls7e_ard_3-0-0_105068_2017-08-21_final
2017-08-22 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-08-22_final
2017-08-22 11:32:05	ga_ls7e_ard_3-0-0_112067_2017-08-22_final
2017-08-24 09:40:50	ga_ls7e_ard_3-1-0_094067_2017-08-24_final
2017-08-24 11:19:43	ga_ls7e_ard_3-0-0_110067_2017-08-24_final
2017-08-27 10:11:45	ga_ls7e_ard_3-0-0_099067_2017-08-27_final
2017-08-27 10:12:08	ga_ls7e_ard_3-0-0_099068_2017-08-27_final
2017-09-05 10:05:33	ga_ls7e_ard_3-0-0_098067_2017-09-05_final
2017-09-05 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-09-05_final
2017-09-06 10:49:13	ga_ls7e_ard_3-0-0_105068_2017-09-06_final
2017-09-08 10:36:51	ga_ls7e_ard_3-0-0_103068_2017-09-08_final
2017-09-09 11:19:43	ga_ls7e_ard_3-0-0_110067_2017-09-09_final
2017-09-14 11:38:14	ga_ls7e_ard_3-0-0_113067_2017-09-14_final
2017-09-16 09:46:59	ga_ls7e_ard_3-0-0_095067_2017-09-16_final
2017-09-16 11:25:52	ga_ls7e_ard_3-0-0_111067_2017-09-16_final
2017-09-23 11:32:03	ga_ls7e_ard_3-0-0_112067_2017-09-23_final
2017-09-25 09:40:49	ga_ls7e_ard_3-1-0_094067_2017-09-25_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