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
2000-01-17 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-17_final
2000-02-25 11:51:13	ga_ls7e_ard_3-0-0_116078_2000-02-25_final
2000-08-12 11:43:29	ga_ls7e_ard_3-0-0_115078_2000-08-12_final
2002-03-27 11:39:37	ga_ls7e_ard_3-0-0_115074_2002-03-27_final
2002-12-08 11:39:27	ga_ls7e_ard_3-0-0_115075_2002-12-08_final
2003-09-22 11:39:48	ga_ls7e_ard_3-0-0_115076_2003-09-22_final
2004-09-08 11:41:29	ga_ls7e_ard_3-0-0_115079_2004-09-08_final
2007-03-25 11:42:56	ga_ls7e_ard_3-0-0_115078_2007-03-25_final
2007-03-25 11:43:20	ga_ls7e_ard_3-0-0_115079_2007-03-25_final
2007-05-28 11:41:04	ga_ls7e_ard_3-0-0_115074_2007-05-28_final
2007-12-22 11:41:32	ga_ls7e_ard_3-0-0_115075_2007-12-22_final
2010-12-14 11:44:37	ga_ls7e_ard_3-0-0_115076_2010-12-14_final
2011-03-04 11:45:09	ga_ls7e_ard_3-0-0_115076_2011-03-04_final
2012-05-25 11:45:47	ga_ls7e_ard_3-0-0_115075_2012-05-25_final
2012-06-26 11:46:05	ga_ls7e_ard_3-0-0_115076_2012-06-26_final
2013-06-13 11:48:04	ga_ls7e_ard_3-0-0_115078_2013-06-13_final
2015-11-10 11:51:49	ga_ls7e_ard_3-0-0_115075_2015-11-10_final
2016-03-01 11:54:45	ga_ls7e_ard_3-0-0_115079_2016-03-01_final
2016-03-17 11:54:07	ga_ls7e_ard_3-1-0_115077_2016-03-17_final
2016-08-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2016-08-24_final
2017-06-01 11:49:58	ga_ls7e_ard_3-0-0_114081_2017-06-01_final
2017-12-01 11:54:30	ga_ls7e_ard_3-1-0_115077_2017-12-01_final
2019-08-17 11:38:44	ga_ls7e_ard_3-0-0_115076_2019-08-17_final
2019-11-05 11:34:30	ga_ls7e_ard_3-1-0_115074_2019-11-05_final
2020-05-31 11:24:09	ga_ls7e_ard_3-1-0_115076_2020-05-31_final
2020-11-25 10:56:51	ga_ls7e_ard_3-1-0_113067_2020-11-25_final
2020-12-05 09:56:43	ga_ls7e_ard_3-1-0_103073_2020-12-05_final
2020-12-05 10:00:18	ga_ls7e_ard_3-1-0_103082_2020-12-05_final
2020-12-15 10:32:14	ga_ls7e_ard_3-1-0_109071_2020-12-15_final
2020-12-19 10:10:48	ga_ls7e_ard_3-1-0_105080_2020-12-19_final
2020-12-22 10:39:29	ga_ls7e_ard_3-1-0_110075_2020-12-22_final
2020-12-22 10:40:16	ga_ls7e_ard_3-1-0_110077_2020-12-22_final
2021-01-02 08:44:54	ga_ls7e_ard_3-1-0_091084_2021-01-01_final
2021-01-02 10:20:35	ga_ls7e_ard_3-1-0_107076_2021-01-02_final
2021-01-12 10:56:34	ga_ls7e_ard_3-1-0_113075_2021-01-12_final
2021-01-20 10:07:21	ga_ls7e_ard_3-2-0_105077_2021-01-20_final
2021-01-26 11:07:55	ga_ls7e_ard_3-2-0_115075_2021-01-26_final
2021-02-01 10:33:36	ga_ls7e_ard_3-2-0_109083_2021-02-01_final
2021-02-14 09:59:20	ga_ls7e_ard_3-2-0_104077_2021-02-14_final
2021-02-17 08:50:44	ga_ls7e_ard_3-2-0_093076_2021-02-16_final
2021-02-22 09:07:17	ga_ls7e_ard_3-2-0_096072_2021-02-21_final
2021-03-10 10:49:43	ga_ls7e_ard_3-2-0_112084_2021-03-10_final
2021-03-22 09:34:36	ga_ls7e_ard_3-2-0_100084_2021-03-22_final
2021-03-25 10:04:51	ga_ls7e_ard_3-2-0_105083_2021-03-25_final
2021-03-27 09:46:45	ga_ls7e_ard_3-2-0_103069_2021-03-27_final
2021-04-06 08:46:07	ga_ls7e_ard_3-2-0_093074_2021-04-05_final
2021-04-13 08:51:19	ga_ls7e_ard_3-2-0_094073_2021-04-12_final
2021-04-16 11:01:15	ga_ls7e_ard_3-2-0_115074_2021-04-16_final
2021-04-16 11:02:03	ga_ls7e_ard_3-2-0_115076_2021-04-16_final
2021-05-03 10:02:36	ga_ls7e_ard_3-2-0_106070_2021-05-03_final
2021-05-08 08:46:38	ga_ls7e_ard_3-2-0_093082_2021-05-07_final
2021-05-15 08:48:38	ga_ls7e_ard_3-2-0_094073_2021-05-14_final
2021-05-28 08:21:25	ga_ls7e_ard_3-2-0_089085_2021-05-27_final
2021-06-04 09:59:29	ga_ls7e_ard_3-2-0_106069_2021-06-04_final
2021-06-14 08:59:40	ga_ls7e_ard_3-2-0_096076_2021-06-13_final
2021-06-16 08:46:21	ga_ls7e_ard_3-2-0_094074_2021-06-15_final
2021-06-18 10:11:07	ga_ls7e_ard_3-2-0_108070_2021-06-18_final
2021-06-21 09:07:16	ga_ls7e_ard_3-2-0_097081_2021-06-20_final
2021-06-23 10:33:38	ga_ls7e_ard_3-2-0_111081_2021-06-23_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-07-02 08:48:37	ga_ls7e_ard_3-2-0_094083_2021-07-01_final
2021-07-04 10:09:47	ga_ls7e_ard_3-2-0_108070_2021-07-04_final
2021-07-21 09:11:31	ga_ls7e_ard_3-2-0_099067_2021-07-20_final
2021-07-22 09:57:05	ga_ls7e_ard_3-2-0_106073_2021-07-22_final
2021-08-15 09:05:07	ga_ls7e_ard_3-2-0_098072_2021-08-14_final
2021-08-23 08:17:47	ga_ls7e_ard_3-2-0_090079_2021-08-22_final
2021-08-23 09:53:28	ga_ls7e_ard_3-2-0_106071_2021-08-23_final
2021-08-26 10:29:18	ga_ls7e_ard_3-2-0_111084_2021-08-26_final
2021-08-27 09:28:00	ga_ls7e_ard_3-2-0_102070_2021-08-26_final
2021-09-01 08:10:26	ga_ls7e_ard_3-2-0_089078_2021-08-31_final
2021-09-07 09:14:06	ga_ls7e_ard_3-2-0_099084_2021-09-06_final
2021-09-16 10:44:00	ga_ls7e_ard_3-2-0_114079_2021-09-16_final
2021-10-02 09:02:54	ga_ls7e_ard_3-2-0_098077_2021-10-01_final
2021-10-04 08:52:45	ga_ls7e_ard_3-2-0_096083_2021-10-03_final
2021-10-06 10:14:43	ga_ls7e_ard_3-2-0_110072_2021-10-06_final
2021-10-14 09:28:33	ga_ls7e_ard_3-2-0_102082_2021-10-13_final
2021-10-17 09:56:48	ga_ls7e_ard_3-2-0_107076_2021-10-17_final
2021-10-19 08:07:22	ga_ls7e_ard_3-2-0_089081_2021-10-18_final
2021-11-07 10:12:12	ga_ls7e_ard_3-2-0_110073_2021-11-07_final
2021-11-13 09:33:44	ga_ls7e_ard_3-2-1_104071_2021-11-13_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-12-07 08:47:12	ga_ls7e_ard_3-2-1_096084_2021-12-06_final
2021-12-10 09:13:49	ga_ls7e_ard_3-2-1_101074_2021-12-09_final
2021-12-10 09:17:24	ga_ls7e_ard_3-2-1_101083_2021-12-09_final
2021-12-16 10:15:26	ga_ls7e_ard_3-2-1_111075_2021-12-16_final
2021-12-17 09:22:31	ga_ls7e_ard_3-2-1_102082_2021-12-16_final
2021-12-28 09:03:17	ga_ls7e_ard_3-2-1_099083_2021-12-27_final
2021-12-30 10:28:48	ga_ls7e_ard_3-2-1_113081_2021-12-30_final
2022-01-19 09:58:34	ga_ls7e_ard_3-2-1_109072_2022-01-19_final
2022-01-30 09:41:21	ga_ls7e_ard_3-2-1_106078_2022-01-30_final
2022-02-03 09:12:38	ga_ls7e_ard_3-2-1_102069_2022-02-02_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-11 10:03:15	ga_ls7e_ard_3-2-1_110074_2022-02-11_final
2022-02-13 09:49:05	ga_ls7e_ard_3-2-1_108070_2022-02-13_final
2022-02-23 10:28:47	ga_ls7e_ard_3-2-1_114079_2022-02-23_final
2022-03-02 08:55:25	ga_ls7e_ard_3-2-1_099079_2022-03-01_final
2022-03-06 08:27:54	ga_ls7e_ard_3-2-1_095073_2022-03-05_final
2022-03-10 09:41:16	ga_ls7e_ard_3-2-1_107072_2022-03-10_final
2022-03-19 09:32:59	ga_ls7e_ard_3-2-1_106069_2022-03-19_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_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