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
2012-07-15 10:38:00	ga_ls7e_ard_3-0-0_104075_2012-07-15_final
2012-08-16 10:38:22	ga_ls7e_ard_3-0-0_104075_2012-08-16_final
2012-09-01 10:38:31	ga_ls7e_ard_3-0-0_104075_2012-09-01_final
2012-09-17 10:38:40	ga_ls7e_ard_3-0-0_104075_2012-09-17_final
2012-10-03 10:38:50	ga_ls7e_ard_3-0-0_104075_2012-10-03_final
2012-10-19 10:39:00	ga_ls7e_ard_3-0-0_104075_2012-10-19_final
2012-11-04 10:39:04	ga_ls7e_ard_3-0-0_104075_2012-11-04_final
2012-11-20 10:39:12	ga_ls7e_ard_3-0-0_104075_2012-11-20_final
2012-12-06 10:39:12	ga_ls7e_ard_3-0-0_104075_2012-12-06_final
2013-01-07 10:39:23	ga_ls7e_ard_3-0-0_104075_2013-01-07_final
2013-02-24 10:39:22	ga_ls7e_ard_3-0-0_104075_2013-02-24_final
2013-03-28 10:39:16	ga_ls7e_ard_3-0-0_104075_2013-03-28_final
2013-04-13 10:39:14	ga_ls7e_ard_3-0-0_104075_2013-04-13_final
2013-04-29 10:39:08	ga_ls7e_ard_3-0-0_104075_2013-04-29_final
2013-05-31 10:38:59	ga_ls7e_ard_3-0-0_104075_2013-05-31_final
2013-06-16 10:38:53	ga_ls7e_ard_3-0-0_104075_2013-06-16_final
2013-07-18 10:38:35	ga_ls7e_ard_3-0-0_104075_2013-07-18_final
2013-08-03 10:38:29	ga_ls7e_ard_3-0-0_104075_2013-08-03_final
2013-10-06 10:39:07	ga_ls7e_ard_3-0-0_104075_2013-10-06_final
2013-10-22 10:39:17	ga_ls7e_ard_3-0-0_104075_2013-10-22_final
2013-11-07 10:39:22	ga_ls7e_ard_3-0-0_104075_2013-11-07_final
2013-12-09 10:39:34	ga_ls7e_ard_3-0-0_104075_2013-12-09_final
2013-12-25 10:39:37	ga_ls7e_ard_3-0-0_104075_2013-12-25_final
2014-01-10 10:39:40	ga_ls7e_ard_3-0-0_104075_2014-01-10_final
2014-01-26 10:40:00	ga_ls7e_ard_3-0-0_104075_2014-01-26_final
2014-02-11 10:40:03	ga_ls7e_ard_3-0-0_104075_2014-02-11_final
2014-02-27 10:39:56	ga_ls7e_ard_3-0-0_104075_2014-02-27_final
2014-03-15 10:40:05	ga_ls7e_ard_3-0-0_104075_2014-03-15_final
2014-03-31 10:40:11	ga_ls7e_ard_3-0-0_104075_2014-03-31_final
2014-04-16 10:40:18	ga_ls7e_ard_3-0-0_104075_2014-04-16_final
2014-05-02 10:40:26	ga_ls7e_ard_3-0-0_104075_2014-05-02_final
2014-05-18 10:40:34	ga_ls7e_ard_3-0-0_104075_2014-05-18_final
2014-06-03 10:40:37	ga_ls7e_ard_3-0-0_104075_2014-06-03_final
2014-06-19 10:40:37	ga_ls7e_ard_3-0-0_104075_2014-06-19_final
2014-07-05 10:40:44	ga_ls7e_ard_3-0-0_104075_2014-07-05_final
2014-07-21 10:40:47	ga_ls7e_ard_3-0-0_104075_2014-07-21_final
2014-09-07 10:40:52	ga_ls7e_ard_3-0-0_104075_2014-09-07_final
2014-09-23 10:40:58	ga_ls7e_ard_3-0-0_104075_2014-09-23_final
2014-10-09 10:41:10	ga_ls7e_ard_3-0-0_104075_2014-10-09_final
2014-11-10 10:41:28	ga_ls7e_ard_3-0-0_104075_2014-11-10_final
2014-11-26 10:41:31	ga_ls7e_ard_3-0-0_104075_2014-11-26_final
2014-12-12 10:41:39	ga_ls7e_ard_3-0-0_104075_2014-12-12_final
2014-12-28 10:41:44	ga_ls7e_ard_3-0-0_104075_2014-12-28_final
2015-01-13 10:41:48	ga_ls7e_ard_3-0-0_104075_2015-01-13_final
2015-01-29 10:41:52	ga_ls7e_ard_3-0-0_104075_2015-01-29_final
2015-02-14 10:41:53	ga_ls7e_ard_3-0-0_104075_2015-02-14_final
2015-04-03 10:42:19	ga_ls7e_ard_3-0-0_104075_2015-04-03_final
2015-04-19 10:42:27	ga_ls7e_ard_3-0-0_104075_2015-04-19_final
2015-05-05 10:42:33	ga_ls7e_ard_3-0-0_104075_2015-05-05_final
2015-05-21 10:42:41	ga_ls7e_ard_3-0-0_104075_2015-05-21_final
2015-06-06 10:42:47	ga_ls7e_ard_3-0-0_104075_2015-06-06_final
2015-06-22 10:42:50	ga_ls7e_ard_3-0-0_104075_2015-06-22_final
2015-07-08 10:42:55	ga_ls7e_ard_3-0-0_104075_2015-07-08_final
2015-08-09 10:43:03	ga_ls7e_ard_3-0-0_104075_2015-08-09_final
2015-09-10 10:43:07	ga_ls7e_ard_3-0-0_104075_2015-09-10_final
2015-10-12 10:43:22	ga_ls7e_ard_3-0-0_104075_2015-10-12_final
2015-10-28 10:43:38	ga_ls7e_ard_3-0-0_104075_2015-10-28_final
2015-11-13 10:43:54	ga_ls7e_ard_3-0-0_104075_2015-11-13_final
2015-11-29 10:44:07	ga_ls7e_ard_3-0-0_104075_2015-11-29_final
2015-12-31 10:44:36	ga_ls7e_ard_3-0-0_104075_2015-12-31_final
2016-01-16 10:44:52	ga_ls7e_ard_3-0-0_104075_2016-01-16_final
2016-02-01 10:45:02	ga_ls7e_ard_3-0-0_104075_2016-02-01_final
2016-02-17 10:45:06	ga_ls7e_ard_3-0-0_104075_2016-02-17_final
2016-03-04 10:45:13	ga_ls7e_ard_3-0-0_104075_2016-03-04_final
2016-03-20 10:45:21	ga_ls7e_ard_3-0-0_104075_2016-03-20_final
2016-04-21 10:45:32	ga_ls7e_ard_3-0-0_104075_2016-04-21_final
2016-05-23 10:45:40	ga_ls7e_ard_3-0-0_104075_2016-05-23_final
2016-06-08 10:45:45	ga_ls7e_ard_3-0-0_104075_2016-06-08_final
2016-06-24 10:45:47	ga_ls7e_ard_3-0-0_104075_2016-06-24_final
2016-07-10 10:45:47	ga_ls7e_ard_3-0-0_104075_2016-07-10_final
2016-08-11 10:45:51	ga_ls7e_ard_3-0-0_104075_2016-08-11_final
2016-08-27 10:45:53	ga_ls7e_ard_3-0-0_104075_2016-08-27_final
2016-09-12 10:45:56	ga_ls7e_ard_3-0-0_104075_2016-09-12_final
2016-10-14 10:45:58	ga_ls7e_ard_3-0-0_104075_2016-10-14_final
2016-10-30 10:45:54	ga_ls7e_ard_3-0-0_104075_2016-10-30_final
2016-11-15 10:45:46	ga_ls7e_ard_3-0-0_104075_2016-11-15_final
2016-12-01 10:45:44	ga_ls7e_ard_3-0-0_104075_2016-12-01_final
2016-12-17 10:45:39	ga_ls7e_ard_3-0-0_104075_2016-12-17_final
2017-02-19 10:45:13	ga_ls7e_ard_3-0-0_104075_2017-02-19_final
2021-03-02 09:57:19	ga_ls7e_ard_3-2-0_104075_2021-03-02_final
2021-03-18 09:56:03	ga_ls7e_ard_3-2-0_104075_2021-03-18_final
2021-04-03 09:54:45	ga_ls7e_ard_3-2-0_104075_2021-04-03_final
2021-04-19 09:53:25	ga_ls7e_ard_3-2-0_104075_2021-04-19_final
2021-05-05 09:52:04	ga_ls7e_ard_3-2-0_104075_2021-05-05_final
2021-05-21 09:50:43	ga_ls7e_ard_3-2-0_104075_2021-05-21_final
2021-06-06 09:49:22	ga_ls7e_ard_3-2-0_104075_2021-06-06_final
2021-07-08 09:46:43	ga_ls7e_ard_3-2-0_104075_2021-07-08_final
2021-07-24 09:45:21	ga_ls7e_ard_3-2-0_104075_2021-07-24_final
2021-08-09 09:43:56	ga_ls7e_ard_3-2-0_104075_2021-08-09_final
2021-08-25 09:42:32	ga_ls7e_ard_3-2-0_104075_2021-08-25_final
2021-09-10 09:41:08	ga_ls7e_ard_3-2-0_104075_2021-09-10_final
2021-09-26 09:39:42	ga_ls7e_ard_3-2-0_104075_2021-09-26_final
2021-10-12 09:38:18	ga_ls7e_ard_3-2-0_104075_2021-10-12_final
2021-10-28 09:36:51	ga_ls7e_ard_3-2-0_104075_2021-10-28_final
2021-11-13 09:35:20	ga_ls7e_ard_3-2-1_104075_2021-11-13_final
2021-11-29 09:33:47	ga_ls7e_ard_3-2-1_104075_2021-11-29_final
2021-12-31 09:30:42	ga_ls7e_ard_3-2-1_104075_2021-12-31_final
2022-02-17 09:25:57	ga_ls7e_ard_3-2-1_104075_2022-02-16_final
2022-03-05 09:24:25	ga_ls7e_ard_3-2-1_104075_2022-03-04_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_2022-03-20_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