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
2000-08-12 11:42:41	ga_ls7e_ard_3-0-0_115076_2000-08-12_final
2002-01-06 11:39:30	ga_ls7e_ard_3-0-0_115074_2002-01-06_final
2004-02-29 11:40:44	ga_ls7e_ard_3-0-0_115076_2004-02-29_final
2005-05-22 11:41:12	ga_ls7e_ard_3-0-0_115076_2005-05-22_final
2005-12-16 11:42:25	ga_ls7e_ard_3-0-0_115079_2005-12-16_final
2006-02-02 11:42:00	ga_ls7e_ard_3-1-0_115077_2006-02-02_final
2007-11-20 11:42:10	ga_ls7e_ard_3-0-0_115077_2007-11-20_final
2008-05-14 11:42:00	ga_ls7e_ard_3-1-0_115077_2008-05-14_final
2009-02-10 11:41:51	ga_ls7e_ard_3-0-0_115077_2009-02-10_final
2009-02-10 11:42:39	ga_ls7e_ard_3-0-0_115079_2009-02-10_final
2009-12-27 11:43:13	ga_ls7e_ard_3-1-0_115077_2009-12-27_final
2011-04-21 11:46:24	ga_ls7e_ard_3-0-0_115079_2011-04-21_final
2011-08-27 11:44:11	ga_ls7e_ard_3-0-0_115074_2011-08-27_final
2013-01-04 11:47:22	ga_ls7e_ard_3-0-0_115075_2013-01-04_final
2013-03-25 11:48:51	ga_ls7e_ard_3-0-0_115079_2013-03-25_final
2013-10-19 11:46:51	ga_ls7e_ard_3-0-0_115074_2013-10-19_final
2015-07-14 11:46:45	ga_ls7e_ard_3-0-0_114080_2015-07-14_final
2015-10-25 11:51:58	ga_ls7e_ard_3-0-0_115076_2015-10-25_final
2017-10-14 11:54:14	ga_ls7e_ard_3-0-0_115076_2017-10-14_final
2018-04-24 11:51:24	ga_ls7e_ard_3-0-0_115074_2018-04-24_final
2018-07-29 11:50:53	ga_ls7e_ard_3-0-0_115077_2018-07-29_final
2019-01-05 11:45:55	ga_ls7e_ard_3-0-0_115074_2019-01-05_final
2019-03-10 11:44:43	ga_ls7e_ard_3-1-0_115076_2019-03-10_final
2019-04-27 11:43:03	ga_ls7e_ard_3-0-0_115076_2019-04-27_final
2019-12-23 11:33:22	ga_ls7e_ard_3-1-0_115077_2019-12-23_final
2020-01-08 11:32:32	ga_ls7e_ard_3-1-0_115077_2020-01-08_final
2020-01-24 11:31:21	ga_ls7e_ard_3-1-0_115076_2020-01-24_final
2020-08-19 11:19:41	ga_ls7e_ard_3-1-0_115077_2020-08-19_final
2020-09-20 11:17:11	ga_ls7e_ard_3-1-0_115076_2020-09-20_final
2020-12-09 09:34:05	ga_ls7e_ard_3-1-0_099079_2020-12-09_final
2020-12-29 09:09:53	ga_ls7e_ard_3-1-0_095084_2020-12-28_final
2020-12-29 10:47:34	ga_ls7e_ard_3-1-0_111081_2020-12-29_final
2020-12-31 08:57:00	ga_ls7e_ard_3-1-0_093083_2020-12-30_final
2021-01-03 09:24:53	ga_ls7e_ard_3-1-0_098076_2021-01-02_final
2021-01-19 09:25:22	ga_ls7e_ard_3-1-0_098080_2021-01-18_final
2021-01-21 09:13:39	ga_ls7e_ard_3-2-0_096082_2021-01-20_final
2021-01-30 09:06:49	ga_ls7e_ard_3-2-0_095082_2021-01-29_final
2021-02-02 09:33:55	ga_ls7e_ard_3-2-0_100073_2021-02-02_final
2021-02-05 10:07:23	ga_ls7e_ard_3-2-0_105080_2021-02-05_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-08 09:22:09	ga_ls7e_ard_3-2-0_098081_2021-03-07_final
2021-03-08 10:59:02	ga_ls7e_ard_3-2-0_114076_2021-03-08_final
2021-03-11 09:51:13	ga_ls7e_ard_3-2-0_103077_2021-03-11_final
2021-03-21 10:29:06	ga_ls7e_ard_3-2-0_109081_2021-03-21_final
2021-03-30 10:21:24	ga_ls7e_ard_3-2-0_108079_2021-03-30_final
2021-04-01 08:31:11	ga_ls7e_ard_3-2-0_090082_2021-03-31_final
2021-05-27 09:15:07	ga_ls7e_ard_3-2-0_098080_2021-05-26_final
2021-05-28 09:53:54	ga_ls7e_ard_3-2-0_105069_2021-05-28_final
2021-06-11 10:11:05	ga_ls7e_ard_3-2-0_107084_2021-06-11_final
2021-07-02 08:42:14	ga_ls7e_ard_3-2-0_094067_2021-07-01_final
2021-07-09 10:30:41	ga_ls7e_ard_3-2-0_111077_2021-07-09_final
2021-07-23 09:03:22	ga_ls7e_ard_3-2-0_097078_2021-07-22_final
2021-07-31 09:48:55	ga_ls7e_ard_3-2-0_105070_2021-07-31_final
2021-08-07 08:19:35	ga_ls7e_ard_3-2-0_090080_2021-08-06_final
2021-08-09 09:45:08	ga_ls7e_ard_3-2-0_104078_2021-08-09_final
2021-08-12 08:39:17	ga_ls7e_ard_3-2-0_093084_2021-08-11_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-09-07 09:10:54	ga_ls7e_ard_3-2-0_099076_2021-09-06_final
2021-09-11 10:24:19	ga_ls7e_ard_3-2-0_111075_2021-09-11_final
2021-09-13 10:14:34	ga_ls7e_ard_3-2-0_109082_2021-09-13_final
2021-09-15 08:22:45	ga_ls7e_ard_3-2-0_091081_2021-09-14_final
2021-09-20 10:16:08	ga_ls7e_ard_3-2-0_110072_2021-09-20_final
2021-09-28 09:28:22	ga_ls7e_ard_3-2-0_102078_2021-09-27_final
2021-10-03 08:08:47	ga_ls7e_ard_3-2-0_089081_2021-10-02_final
2021-10-03 09:43:41	ga_ls7e_ard_3-2-0_105071_2021-10-03_final
2021-10-07 09:21:00	ga_ls7e_ard_3-2-0_101077_2021-10-06_final
2021-10-08 10:01:47	ga_ls7e_ard_3-2-0_108071_2021-10-08_final
2021-10-17 09:58:23	ga_ls7e_ard_3-2-0_107080_2021-10-17_final
2021-10-24 10:04:20	ga_ls7e_ard_3-2-0_108081_2021-10-24_final
2021-10-27 08:54:53	ga_ls7e_ard_3-2-0_097078_2021-10-26_final
2021-10-29 08:43:32	ga_ls7e_ard_3-2-0_095081_2021-10-28_final
2021-10-30 09:25:54	ga_ls7e_ard_3-2-0_102079_2021-10-29_final
2021-11-08 09:16:53	ga_ls7e_ard_3-2-0_101074_2021-11-07_final
2021-11-12 08:52:58	ga_ls7e_ard_3-2-0_097077_2021-11-11_final
2021-11-19 10:37:44	ga_ls7e_ard_3-2-1_114078_2021-11-19_final
2021-12-03 09:08:42	ga_ls7e_ard_3-2-1_100075_2021-12-02_final
2021-12-05 10:35:50	ga_ls7e_ard_3-2-1_114077_2021-12-05_final
2021-12-07 08:44:48	ga_ls7e_ard_3-2-1_096078_2021-12-06_final
2021-12-11 09:57:47	ga_ls7e_ard_3-2-1_108076_2021-12-11_final
2021-12-12 09:04:28	ga_ls7e_ard_3-2-1_099082_2021-12-11_final
2021-12-18 08:26:00	ga_ls7e_ard_3-2-1_093080_2021-12-17_final
2021-12-21 08:55:49	ga_ls7e_ard_3-2-1_098078_2021-12-20_final
2021-12-21 08:56:37	ga_ls7e_ard_3-2-1_098080_2021-12-20_final
2021-12-23 08:40:52	ga_ls7e_ard_3-2-1_096072_2021-12-22_final
2021-12-24 09:26:25	ga_ls7e_ard_3-2-1_103078_2021-12-23_final
2021-12-27 09:58:37	ga_ls7e_ard_3-2-1_108082_2021-12-27_final
2021-12-30 08:49:08	ga_ls7e_ard_3-2-1_097079_2021-12-29_final
2022-01-08 08:39:40	ga_ls7e_ard_3-2-1_096073_2022-01-07_final
2022-01-15 10:27:16	ga_ls7e_ard_3-2-1_113081_2022-01-15_final
2022-01-18 09:16:12	ga_ls7e_ard_3-2-1_102074_2022-01-17_final
2022-01-24 10:19:49	ga_ls7e_ard_3-2-1_112080_2022-01-24_final
2022-02-08 09:32:16	ga_ls7e_ard_3-2-1_105073_2022-02-08_final
2022-02-13 09:49:29	ga_ls7e_ard_3-2-1_108071_2022-02-13_final
2022-02-24 09:33:28	ga_ls7e_ard_3-2-1_105080_2022-02-24_final
2022-03-10 09:43:16	ga_ls7e_ard_3-2-1_107077_2022-03-10_final
2022-03-13 10:15:03	ga_ls7e_ard_3-2-1_112080_2022-03-13_final
2022-03-31 08:19:41	ga_ls7e_ard_3-2-1_094074_2022-03-30_final
2022-04-03 08:50:41	ga_ls7e_ard_3-2-1_099075_2022-04-02_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_2022-04-02_final
2022-04-04 07:58:10	ga_ls7e_ard_3-2-1_090083_2022-04-03_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