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
1999-10-29 11:43:41	ga_ls7e_ard_3-0-0_115074_1999-10-29_final
2000-02-02 11:45:35	ga_ls7e_ard_3-0-0_115079_2000-02-02_final
2000-02-18 11:45:05	ga_ls7e_ard_3-0-0_115078_2000-02-18_final
2000-04-22 11:43:54	ga_ls7e_ard_3-0-0_115076_2000-04-22_final
2000-05-24 11:42:46	ga_ls7e_ard_3-0-0_115074_2000-05-24_final
2001-02-04 11:41:39	ga_ls7e_ard_3-0-0_115075_2001-02-04_final
2001-10-02 11:39:30	ga_ls7e_ard_3-0-0_115075_2001-10-02_final
2001-12-21 11:40:17	ga_ls7e_ard_3-0-0_115076_2001-12-21_final
2002-07-17 11:40:44	ga_ls7e_ard_3-0-0_115078_2002-07-17_final
2003-10-24 11:39:33	ga_ls7e_ard_3-0-0_115075_2003-10-24_final
2004-01-12 11:41:43	ga_ls7e_ard_3-0-0_115079_2004-01-12_final
2004-02-22 11:35:43	ga_ls7e_ard_3-0-0_114079_2004-02-22_final
2004-10-10 11:39:43	ga_ls7e_ard_3-1-0_115075_2004-10-10_final
2004-11-04 11:35:55	ga_ls7e_ard_3-0-0_114080_2004-11-04_final
2005-08-19 11:35:32	ga_ls7e_ard_3-0-0_114078_2005-08-19_final
2006-10-16 11:41:06	ga_ls7e_ard_3-0-0_115076_2006-10-16_final
2007-03-25 11:42:56	ga_ls7e_ard_3-0-0_115078_2007-03-25_final
2007-11-04 11:40:49	ga_ls7e_ard_3-0-0_115074_2007-11-04_final
2009-03-14 11:42:57	ga_ls7e_ard_3-0-0_115079_2009-03-14_final
2009-07-13 11:37:45	ga_ls7e_ard_3-0-0_114081_2009-07-13_final
2011-01-31 11:45:23	ga_ls7e_ard_3-1-0_115077_2011-01-31_final
2011-12-01 11:46:08	ga_ls7e_ard_3-0-0_115078_2011-12-01_final
2012-10-16 11:46:33	ga_ls7e_ard_3-0-0_115074_2012-10-16_final
2012-12-03 11:47:58	ga_ls7e_ard_3-1-0_115077_2012-12-03_final
2012-12-19 11:46:55	ga_ls7e_ard_3-0-0_115074_2012-12-19_final
2013-04-19 11:42:58	ga_ls7e_ard_3-0-0_114080_2013-04-19_final
2014-02-24 11:47:31	ga_ls7e_ard_3-0-0_115074_2014-02-24_final
2014-04-22 11:44:35	ga_ls7e_ard_3-0-0_114081_2014-04-22_final
2016-09-09 11:54:19	ga_ls7e_ard_3-0-0_115076_2016-09-09_final
2016-12-07 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-12-07_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_final
2020-03-21 11:23:22	ga_ls7e_ard_3-1-0_114079_2020-03-21_final
2020-12-10 10:12:53	ga_ls7e_ard_3-1-0_106068_2020-12-10_final
2020-12-17 10:20:07	ga_ls7e_ard_3-1-0_107072_2020-12-17_final
2020-12-18 11:06:30	ga_ls7e_ard_3-1-0_114080_2020-12-18_final
2020-12-20 09:17:30	ga_ls7e_ard_3-1-0_096086_2020-12-19_final
2020-12-27 10:57:16	ga_ls7e_ard_3-1-0_113074_2020-12-27_final
2020-12-31 10:31:53	ga_ls7e_ard_3-1-0_109073_2020-12-31_final
2020-12-31 10:33:05	ga_ls7e_ard_3-1-0_109076_2020-12-31_final
2021-01-02 10:18:11	ga_ls7e_ard_3-1-0_107070_2021-01-02_final
2021-01-03 09:21:18	ga_ls7e_ard_3-1-0_098067_2021-01-02_final
2021-01-05 09:14:23	ga_ls7e_ard_3-1-0_096081_2021-01-04_final
2021-01-08 09:41:29	ga_ls7e_ard_3-1-0_101072_2021-01-08_final
2021-01-20 10:09:21	ga_ls7e_ard_3-2-0_105082_2021-01-20_final
2021-01-22 09:53:39	ga_ls7e_ard_3-2-0_103074_2021-01-22_final
2021-01-22 09:56:03	ga_ls7e_ard_3-2-0_103080_2021-01-22_final
2021-01-25 08:47:27	ga_ls7e_ard_3-2-0_092079_2021-01-24_final
2021-01-29 10:00:31	ga_ls7e_ard_3-2-0_104077_2021-01-29_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-05 08:29:42	ga_ls7e_ard_3-2-0_089083_2021-02-04_final
2021-02-17 08:54:43	ga_ls7e_ard_3-2-0_093086_2021-02-16_final
2021-02-24 10:38:03	ga_ls7e_ard_3-2-0_110083_2021-02-24_final
2021-02-26 10:19:57	ga_ls7e_ard_3-2-0_108069_2021-02-26_final
2021-03-03 10:37:18	ga_ls7e_ard_3-2-0_111067_2021-03-03_final
2021-03-10 10:48:07	ga_ls7e_ard_3-2-0_112080_2021-03-10_final
2021-04-01 10:09:16	ga_ls7e_ard_3-2-0_106080_2021-04-01_final
2021-04-26 10:00:11	ga_ls7e_ard_3-2-0_105078_2021-04-26_final
2021-05-16 09:32:12	ga_ls7e_ard_3-2-0_101074_2021-05-16_final
2021-06-13 09:52:11	ga_ls7e_ard_3-2-0_105068_2021-06-13_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-06-25 08:43:01	ga_ls7e_ard_3-2-0_093083_2021-06-24_final
2021-07-03 09:28:12	ga_ls7e_ard_3-2-0_101074_2021-07-02_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-11 09:31:00	ga_ls7e_ard_3-2-0_102074_2021-08-11_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-08-25 09:40:32	ga_ls7e_ard_3-2-0_104070_2021-08-25_final
2021-09-07 10:50:59	ga_ls7e_ard_3-2-0_115079_2021-09-07_final
2021-09-14 09:14:28	ga_ls7e_ard_3-2-0_100071_2021-09-13_final
2021-09-17 09:49:29	ga_ls7e_ard_3-2-0_105082_2021-09-17_final
2021-09-19 09:34:10	ga_ls7e_ard_3-2-0_103075_2021-09-19_final
2021-09-21 09:20:01	ga_ls7e_ard_3-2-0_101071_2021-09-20_final
2021-09-22 08:29:30	ga_ls7e_ard_3-2-0_092084_2021-09-21_final
2021-09-27 10:21:41	ga_ls7e_ard_3-2-0_111072_2021-09-27_final
2021-10-08 08:28:29	ga_ls7e_ard_3-2-0_092085_2021-10-07_final
2021-10-17 08:18:43	ga_ls7e_ard_3-2-0_091078_2021-10-16_final
2021-10-20 08:44:57	ga_ls7e_ard_3-2-0_096067_2021-10-19_final
2021-10-20 10:23:50	ga_ls7e_ard_3-2-0_112067_2021-10-20_final
2021-10-24 08:26:39	ga_ls7e_ard_3-2-0_092084_2021-10-23_final
2021-10-29 08:40:21	ga_ls7e_ard_3-2-0_095073_2021-10-28_final
2021-10-31 10:07:28	ga_ls7e_ard_3-2-0_109075_2021-10-31_final
2021-11-02 09:56:07	ga_ls7e_ard_3-2-0_107078_2021-11-02_final
2021-11-16 10:08:44	ga_ls7e_ard_3-2-1_109082_2021-11-16_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-11-21 08:47:06	ga_ls7e_ard_3-2-1_096080_2021-11-20_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-12-06 09:39:43	ga_ls7e_ard_3-2-1_105076_2021-12-06_final
2021-12-08 09:28:22	ga_ls7e_ard_3-2-1_103079_2021-12-07_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2021-12-25 08:33:06	ga_ls7e_ard_3-2-1_094084_2021-12-24_final
2021-12-27 08:22:08	ga_ls7e_ard_3-2-1_092088_2021-12-26_final
2022-01-07 09:33:47	ga_ls7e_ard_3-2-1_105069_2022-01-07_final
2022-01-11 09:11:05	ga_ls7e_ard_3-2-1_101075_2022-01-10_final
2022-01-12 09:56:39	ga_ls7e_ard_3-2-1_108081_2022-01-12_final
2022-01-21 09:48:01	ga_ls7e_ard_3-2-1_107077_2022-01-21_final
2022-02-06 09:46:02	ga_ls7e_ard_3-2-1_107076_2022-02-06_final
2022-02-09 08:35:45	ga_ls7e_ard_3-2-1_096071_2022-02-08_final
2022-02-18 10:12:43	ga_ls7e_ard_3-2-1_111084_2022-02-18_final
2022-02-20 08:17:18	ga_ls7e_ard_3-2-1_093074_2022-02-19_final
2022-02-24 09:29:29	ga_ls7e_ard_3-2-1_105070_2022-02-23_final
2022-03-12 09:27:07	ga_ls7e_ard_3-2-1_105068_2022-03-11_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