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
2009-09-01 09:40:46	ga_ls7e_ard_3-0-0_096067_2009-09-01_final
2009-09-01 11:19:39	ga_ls7e_ard_3-0-0_112067_2009-09-01_final
2009-09-03 09:28:24	ga_ls7e_ard_3-0-0_094067_2009-09-02_final
2009-09-03 11:07:17	ga_ls7e_ard_3-0-0_110067_2009-09-03_final
2009-10-19 09:40:47	ga_ls7e_ard_3-0-0_096067_2009-10-19_final
2009-10-19 11:19:41	ga_ls7e_ard_3-0-0_112067_2009-10-19_final
2009-12-04 11:32:40	ga_ls7e_ard_3-0-0_114067_2009-12-04_final
2009-12-06 09:41:26	ga_ls7e_ard_3-0-0_096067_2009-12-06_final
2009-12-06 11:20:19	ga_ls7e_ard_3-0-0_112067_2009-12-06_final
2010-03-03 11:27:42	ga_ls7e_ard_3-0-0_113067_2010-03-03_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
2015-09-02 11:29:18	ga_ls7e_ard_3-0-0_112067_2015-09-02_final
2015-09-04 09:38:05	ga_ls7e_ard_3-1-0_094067_2015-09-04_final
2015-09-04 11:16:58	ga_ls7e_ard_3-0-0_110067_2015-09-04_final
2015-09-07 10:09:00	ga_ls7e_ard_3-0-0_099067_2015-09-07_final
2015-09-09 11:35:33	ga_ls7e_ard_3-0-0_113067_2015-09-09_final
2015-09-11 11:23:12	ga_ls7e_ard_3-0-0_111067_2015-09-11_final
2015-09-13 09:31:58	ga_ls7e_ard_3-0-0_093067_2015-09-13_final
2015-09-25 11:35:37	ga_ls7e_ard_3-0-0_113067_2015-09-25_final
2015-09-27 11:23:16	ga_ls7e_ard_3-0-0_111067_2015-09-27_final
2015-09-29 09:32:01	ga_ls7e_ard_3-0-0_093067_2015-09-29_final
2015-10-18 10:03:12	ga_ls7e_ard_3-0-0_098067_2015-10-18_final
2015-10-18 11:42:05	ga_ls7e_ard_3-0-0_114067_2015-10-18_final
2015-12-23 09:51:52	ga_ls7e_ard_3-0-0_096067_2015-12-23_final
2015-12-23 11:30:45	ga_ls7e_ard_3-0-0_112067_2015-12-23_final
2015-12-25 09:39:32	ga_ls7e_ard_3-1-0_094067_2015-12-25_final
2015-12-28 10:10:28	ga_ls7e_ard_3-0-0_099067_2015-12-28_final
2015-12-30 11:37:01	ga_ls7e_ard_3-0-0_113067_2015-12-30_final
2016-02-23 10:04:49	ga_ls7e_ard_3-0-0_098067_2016-02-23_final
2016-02-23 11:43:42	ga_ls7e_ard_3-0-0_114067_2016-02-23_final
2016-03-14 11:19:12	ga_ls7e_ard_3-0-0_110067_2016-03-14_final
2016-03-19 11:37:46	ga_ls7e_ard_3-0-0_113067_2016-03-19_final
2016-03-21 09:46:32	ga_ls7e_ard_3-0-0_095067_2016-03-21_final
2016-03-21 11:25:25	ga_ls7e_ard_3-0-0_111067_2016-03-21_final
2016-03-23 09:34:11	ga_ls7e_ard_3-0-0_093067_2016-03-23_final
2016-05-06 11:38:02	ga_ls7e_ard_3-0-0_113067_2016-05-06_final
2016-05-08 09:46:48	ga_ls7e_ard_3-0-0_095067_2016-05-08_final
2016-05-08 11:25:41	ga_ls7e_ard_3-0-0_111067_2016-05-08_final
2018-01-06 09:46:30	ga_ls7e_ard_3-0-0_095067_2018-01-06_final
2018-01-11 10:04:59	ga_ls7e_ard_3-0-0_098067_2018-01-11_final
2018-03-16 11:43:02	ga_ls7e_ard_3-0-0_114067_2018-03-16_final
2018-03-18 11:30:38	ga_ls7e_ard_3-0-0_112067_2018-03-18_final
2018-03-20 09:39:22	ga_ls7e_ard_3-1-0_094067_2018-03-20_final
2018-03-20 11:18:15	ga_ls7e_ard_3-0-0_110067_2018-03-20_final
2018-04-12 11:24:05	ga_ls7e_ard_3-0-0_111067_2018-04-12_final
2018-05-19 11:42:00	ga_ls7e_ard_3-0-0_114067_2018-05-19_final
2018-05-21 09:50:43	ga_ls7e_ard_3-0-0_096067_2018-05-21_final
2018-05-21 11:29:36	ga_ls7e_ard_3-0-0_112067_2018-05-21_final
2018-06-29 11:35:06	ga_ls7e_ard_3-0-0_113067_2018-06-29_final
2018-07-01 09:43:48	ga_ls7e_ard_3-0-0_095067_2018-07-01_final
2018-07-01 11:22:41	ga_ls7e_ard_3-0-0_111067_2018-07-01_final
2018-08-09 11:28:09	ga_ls7e_ard_3-0-0_112067_2018-08-09_final
2018-08-11 09:36:53	ga_ls7e_ard_3-1-0_094067_2018-08-11_final
2018-08-11 11:15:46	ga_ls7e_ard_3-0-0_110067_2018-08-11_final
2019-06-14 09:58:47	ga_ls7e_ard_3-0-0_099067_2019-06-14_final
2019-06-16 11:25:14	ga_ls7e_ard_3-0-0_113067_2019-06-16_final
2019-06-25 11:18:43	ga_ls7e_ard_3-0-0_112067_2019-06-25_final
2019-06-27 09:27:24	ga_ls7e_ard_3-1-0_094067_2019-06-26_final
2019-06-27 11:06:17	ga_ls7e_ard_3-0-0_110067_2019-06-27_final
2019-06-30 09:58:11	ga_ls7e_ard_3-0-0_099067_2019-06-30_final
2019-07-09 09:51:40	ga_ls7e_ard_3-0-0_098067_2019-07-09_final
2019-07-09 11:30:33	ga_ls7e_ard_3-0-0_114067_2019-07-09_final
2019-07-11 09:39:14	ga_ls7e_ard_3-0-0_096067_2019-07-11_final
2019-08-26 09:49:42	ga_ls7e_ard_3-1-0_098067_2019-08-26_final
2019-08-26 11:28:35	ga_ls7e_ard_3-1-0_114067_2019-08-26_final
2019-08-28 09:37:16	ga_ls7e_ard_3-1-0_096067_2019-08-28_final
2019-08-28 11:16:09	ga_ls7e_ard_3-1-0_112067_2019-08-28_final
2019-08-30 11:03:42	ga_ls7e_ard_3-1-0_110067_2019-08-30_final
2019-09-11 09:49:01	ga_ls7e_ard_3-1-0_098067_2019-09-11_final
2019-09-11 11:27:54	ga_ls7e_ard_3-1-0_114067_2019-09-11_final
2019-09-13 09:36:34	ga_ls7e_ard_3-1-0_096067_2019-09-13_final
2019-09-13 11:15:27	ga_ls7e_ard_3-1-0_112067_2019-09-13_final
2019-09-27 09:48:18	ga_ls7e_ard_3-1-0_098067_2019-09-27_final
2019-09-27 11:27:11	ga_ls7e_ard_3-1-0_114067_2019-09-27_final
2019-10-04 09:54:12	ga_ls7e_ard_3-1-0_099067_2019-10-04_final
2019-10-06 11:20:38	ga_ls7e_ard_3-1-0_113067_2019-10-06_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
2019-11-21 09:52:05	ga_ls7e_ard_3-1-0_099067_2019-11-21_final
2019-11-23 11:18:31	ga_ls7e_ard_3-1-0_113067_2019-11-23_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
2021-07-02 10:21:07	ga_ls7e_ard_3-2-0_110067_2021-07-02_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
2021-08-03 10:18:21	ga_ls7e_ard_3-2-0_110067_2021-08-03_final
2021-08-06 09:10:07	ga_ls7e_ard_3-2-0_099067_2021-08-05_final
2021-08-08 10:36:27	ga_ls7e_ard_3-2-0_113067_2021-08-08_final
2021-08-10 08:45:02	ga_ls7e_ard_3-2-0_095067_2021-08-09_final
2021-08-10 10:23:55	ga_ls7e_ard_3-2-0_111067_2021-08-10_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-08-15 10:42:00	ga_ls7e_ard_3-2-0_114067_2021-08-15_final
2021-08-17 08:50:35	ga_ls7e_ard_3-2-0_096067_2021-08-16_final
2021-08-17 10:29:28	ga_ls7e_ard_3-2-0_112067_2021-08-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years