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
2003-07-20 11:41:21	ga_ls7e_ard_3-0-0_115079_2003-07-20_final
2004-06-20 11:40:37	ga_ls7e_ard_3-0-0_115076_2004-06-20_final
2004-09-08 11:41:05	ga_ls7e_ard_3-0-0_115078_2004-09-08_final
2004-09-24 11:40:13	ga_ls7e_ard_3-0-0_115076_2004-09-24_final
2005-04-20 11:41:55	ga_ls7e_ard_3-0-0_115078_2005-04-20_final
2006-04-23 11:42:01	ga_ls7e_ard_3-1-0_115077_2006-04-23_final
2006-10-16 11:41:06	ga_ls7e_ard_3-0-0_115076_2006-10-16_final
2007-11-04 11:42:01	ga_ls7e_ard_3-1-0_115077_2007-11-04_final
2009-11-09 11:42:56	ga_ls7e_ard_3-0-0_115078_2009-11-09_final
2011-07-26 11:45:29	ga_ls7e_ard_3-1-0_115077_2011-07-26_final
2012-08-29 11:46:52	ga_ls7e_ard_3-0-0_115076_2012-08-29_final
2012-12-19 11:48:55	ga_ls7e_ard_3-0-0_115079_2012-12-19_final
2013-04-26 11:47:07	ga_ls7e_ard_3-0-0_115075_2013-04-26_final
2014-09-04 11:49:15	ga_ls7e_ard_3-0-0_115076_2014-09-04_final
2015-05-02 11:50:31	ga_ls7e_ard_3-0-0_115075_2015-05-02_final
2016-08-24 11:55:04	ga_ls7e_ard_3-0-0_115078_2016-08-24_final
2016-09-09 11:54:19	ga_ls7e_ard_3-0-0_115076_2016-09-09_final
2017-09-12 11:55:00	ga_ls7e_ard_3-0-0_115078_2017-09-12_final
2020-12-10 10:13:41	ga_ls7e_ard_3-1-0_106070_2020-12-10_final
2020-12-11 11:00:03	ga_ls7e_ard_3-1-0_113078_2020-12-11_final
2020-12-14 09:49:51	ga_ls7e_ard_3-1-0_102073_2020-12-14_final
2020-12-17 10:23:19	ga_ls7e_ard_3-1-0_107080_2020-12-17_final
2020-12-18 09:28:49	ga_ls7e_ard_3-1-0_098083_2020-12-17_final
2020-12-20 09:11:55	ga_ls7e_ard_3-1-0_096072_2020-12-19_final
2020-12-22 10:38:17	ga_ls7e_ard_3-1-0_110072_2020-12-22_final
2021-01-14 10:47:39	ga_ls7e_ard_3-1-0_111084_2021-01-14_final
2021-01-18 08:40:58	ga_ls7e_ard_3-1-0_091077_2021-01-17_final
2021-01-18 10:22:15	ga_ls7e_ard_3-1-0_107083_2021-01-18_final
2021-01-19 11:04:14	ga_ls7e_ard_3-1-0_114080_2021-01-19_final
2021-01-24 09:41:09	ga_ls7e_ard_3-2-0_101074_2021-01-24_final
2021-01-24 09:41:57	ga_ls7e_ard_3-2-0_101076_2021-01-24_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-09 09:43:34	ga_ls7e_ard_3-2-0_101083_2021-02-09_final
2021-02-17 10:28:24	ga_ls7e_ard_3-2-0_109073_2021-02-17_final
2021-02-19 10:17:06	ga_ls7e_ard_3-2-0_107076_2021-02-19_final
2021-02-21 08:28:30	ga_ls7e_ard_3-2-0_089083_2021-02-20_final
2021-02-28 08:36:32	ga_ls7e_ard_3-2-0_090089_2021-02-27_final
2021-03-12 10:32:25	ga_ls7e_ard_3-2-0_110072_2021-03-12_final
2021-03-13 09:39:54	ga_ls7e_ard_3-2-0_101080_2021-03-13_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-03-26 09:09:57	ga_ls7e_ard_3-2-0_096085_2021-03-25_final
2021-04-23 09:31:57	ga_ls7e_ard_3-2-0_100084_2021-04-23_final
2021-04-26 09:56:36	ga_ls7e_ard_3-2-0_105069_2021-04-26_final
2021-04-26 10:00:11	ga_ls7e_ard_3-2-0_105078_2021-04-26_final
2021-05-01 10:20:18	ga_ls7e_ard_3-2-0_108083_2021-05-01_final
2021-05-06 10:34:27	ga_ls7e_ard_3-2-0_111073_2021-05-06_final
2021-05-10 08:31:43	ga_ls7e_ard_3-2-0_091076_2021-05-09_final
2021-05-12 08:22:22	ga_ls7e_ard_3-2-0_089084_2021-05-11_final
2021-05-23 09:35:24	ga_ls7e_ard_3-2-0_102068_2021-05-23_final
2021-06-02 10:13:36	ga_ls7e_ard_3-2-0_108073_2021-06-02_final
2021-06-03 09:17:30	ga_ls7e_ard_3-2-0_099072_2021-06-02_final
2021-06-07 08:58:27	ga_ls7e_ard_3-2-0_095087_2021-06-06_final
2021-06-19 09:18:12	ga_ls7e_ard_3-2-0_099077_2021-06-18_final
2021-07-04 10:10:59	ga_ls7e_ard_3-2-0_108073_2021-07-04_final
2021-07-13 10:06:50	ga_ls7e_ard_3-2-0_107080_2021-07-13_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-07-23 10:37:51	ga_ls7e_ard_3-2-0_113067_2021-07-23_final
2021-07-27 08:41:30	ga_ls7e_ard_3-2-0_093086_2021-07-26_final
2021-08-01 08:58:24	ga_ls7e_ard_3-2-0_096083_2021-07-31_final
2021-08-01 10:36:05	ga_ls7e_ard_3-2-0_112080_2021-08-01_final
2021-08-05 10:12:12	ga_ls7e_ard_3-2-0_108083_2021-08-05_final
2021-08-07 09:59:16	ga_ls7e_ard_3-2-0_106082_2021-08-07_final
2021-08-20 09:24:01	ga_ls7e_ard_3-2-0_101074_2021-08-19_final
2021-08-23 09:57:03	ga_ls7e_ard_3-2-0_106080_2021-08-23_final
2021-08-31 09:08:32	ga_ls7e_ard_3-2-0_098084_2021-08-30_final
2021-09-16 09:00:44	ga_ls7e_ard_3-2-0_098068_2021-09-15_final
2021-09-16 09:07:07	ga_ls7e_ard_3-2-0_098084_2021-09-15_final
2021-09-16 10:42:00	ga_ls7e_ard_3-2-0_114074_2021-09-16_final
2021-09-28 09:24:22	ga_ls7e_ard_3-2-0_102068_2021-09-27_final
2021-10-01 09:56:12	ga_ls7e_ard_3-2-0_107071_2021-10-01_final
2021-10-01 09:57:24	ga_ls7e_ard_3-2-0_107074_2021-10-01_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-26 09:47:24	ga_ls7e_ard_3-2-0_106070_2021-10-26_final
2021-10-27 10:35:21	ga_ls7e_ard_3-2-0_113082_2021-10-27_final
2021-11-06 09:30:37	ga_ls7e_ard_3-2-0_103077_2021-11-06_final
2021-11-09 08:23:09	ga_ls7e_ard_3-2-0_092079_2021-11-08_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-11-16 08:28:15	ga_ls7e_ard_3-2-1_093078_2021-11-15_final
2021-11-19 08:59:16	ga_ls7e_ard_3-2-1_098079_2021-11-18_final
2021-11-28 08:53:01	ga_ls7e_ard_3-2-1_097081_2021-11-27_final
2021-11-30 08:42:28	ga_ls7e_ard_3-2-1_095086_2021-11-29_final
2021-12-03 09:07:06	ga_ls7e_ard_3-2-1_100071_2021-12-02_final
2021-12-16 08:38:10	ga_ls7e_ard_3-2-1_095079_2021-12-15_final
2021-12-20 09:49:08	ga_ls7e_ard_3-2-1_107072_2021-12-20_final
2021-12-22 08:00:54	ga_ls7e_ard_3-2-1_089080_2021-12-21_final
2022-01-02 09:16:08	ga_ls7e_ard_3-2-1_102070_2022-01-01_final
2022-01-03 08:22:24	ga_ls7e_ard_3-2-1_093075_2022-01-02_final
2022-01-17 08:32:15	ga_ls7e_ard_3-2-1_095072_2022-01-16_final
2022-01-21 09:47:37	ga_ls7e_ard_3-2-1_107076_2022-01-21_final
2022-01-29 09:00:35	ga_ls7e_ard_3-2-1_099084_2022-01-28_final
2022-01-31 08:47:14	ga_ls7e_ard_3-2-1_097082_2022-01-30_final
2022-02-12 09:11:07	ga_ls7e_ard_3-2-1_101083_2022-02-11_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-28 09:09:34	ga_ls7e_ard_3-2-1_101083_2022-02-27_final
2022-03-03 09:40:10	ga_ls7e_ard_3-2-1_106083_2022-03-03_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-03-27 08:48:23	ga_ls7e_ard_3-2-1_098083_2022-03-26_final
2022-03-31 08:19:17	ga_ls7e_ard_3-2-1_094073_2022-03-30_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