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
1999-10-17 09:44:56	ga_ls7e_ard_3-0-0_095086_1999-10-17_final
1999-10-17 09:45:20	ga_ls7e_ard_3-0-0_095087_1999-10-17_final
2000-03-09 09:43:45	ga_ls7e_ard_3-0-0_095084_2000-03-09_final
2000-03-25 09:42:35	ga_ls7e_ard_3-0-0_095081_2000-03-25_final
2000-04-26 09:43:31	ga_ls7e_ard_3-0-0_095084_2000-04-26_final
2000-05-12 09:42:31	ga_ls7e_ard_3-0-0_095082_2000-05-12_final
2000-05-12 09:43:19	ga_ls7e_ard_3-0-0_095084_2000-05-12_final
2000-09-17 09:42:08	ga_ls7e_ard_3-0-0_095085_2000-09-17_final
2001-01-23 09:42:07	ga_ls7e_ard_3-0-0_095085_2001-01-23_final
2001-04-13 09:41:19	ga_ls7e_ard_3-0-0_095084_2001-04-13_final
2001-07-02 09:40:09	ga_ls7e_ard_3-0-0_095083_2001-07-02_final
2001-08-03 09:39:06	ga_ls7e_ard_3-0-0_095081_2001-08-03_final
2001-08-03 09:39:54	ga_ls7e_ard_3-0-0_095083_2001-08-03_final
2001-08-03 09:40:18	ga_ls7e_ard_3-0-0_095084_2001-08-03_final
2002-03-15 09:39:40	ga_ls7e_ard_3-0-0_095083_2002-03-15_final
2002-03-31 09:39:35	ga_ls7e_ard_3-0-0_095083_2002-03-31_final
2003-05-21 09:38:40	ga_ls7e_ard_3-0-0_095081_2003-05-21_final
2007-01-08 09:41:49	ga_ls7e_ard_3-1-0_095085_2007-01-08_final
2011-05-27 09:43:11	ga_ls7e_ard_3-0-0_095080_2011-05-27_final
2013-03-13 09:45:20	ga_ls7e_ard_3-1-0_095079_2013-03-13_final
2013-04-14 09:46:00	ga_ls7e_ard_3-0-0_095081_2013-04-14_final
2013-04-30 09:45:54	ga_ls7e_ard_3-0-0_095081_2013-04-30_final
2013-05-16 09:45:28	ga_ls7e_ard_3-0-0_095080_2013-05-16_final
2013-05-16 09:45:52	ga_ls7e_ard_3-0-0_095081_2013-05-16_final
2013-07-19 09:45:45	ga_ls7e_ard_3-0-0_095082_2013-07-19_final
2013-08-20 09:45:44	ga_ls7e_ard_3-0-0_095082_2013-08-20_final
2013-08-20 09:46:08	ga_ls7e_ard_3-0-0_095083_2013-08-20_final
2013-09-05 09:45:32	ga_ls7e_ard_3-0-0_095081_2013-09-05_final
2013-09-21 09:45:41	ga_ls7e_ard_3-0-0_095081_2013-09-21_final
2013-11-24 09:45:26	ga_ls7e_ard_3-1-0_095079_2013-11-24_final
2014-05-03 09:46:25	ga_ls7e_ard_3-1-0_095079_2014-05-03_final
2014-07-22 09:46:46	ga_ls7e_ard_3-1-0_095079_2014-07-22_final
2014-08-07 09:47:15	ga_ls7e_ard_3-0-0_095080_2014-08-07_final
2014-09-08 09:47:15	ga_ls7e_ard_3-0-0_095080_2014-09-08_final
2014-12-13 09:47:39	ga_ls7e_ard_3-1-0_095079_2014-12-13_final
2015-06-07 09:48:46	ga_ls7e_ard_3-1-0_095079_2015-06-07_final
2015-09-11 09:49:06	ga_ls7e_ard_3-1-0_095079_2015-09-11_final
2015-09-27 09:49:10	ga_ls7e_ard_3-1-0_095079_2015-09-27_final
2015-10-29 09:49:37	ga_ls7e_ard_3-0-0_095079_2015-10-29_final
2016-06-09 09:52:56	ga_ls7e_ard_3-0-0_095082_2016-06-09_final
2016-08-28 09:51:52	ga_ls7e_ard_3-1-0_095079_2016-08-28_final
2016-10-15 09:51:57	ga_ls7e_ard_3-1-0_095079_2016-10-15_final
2016-12-18 09:51:37	ga_ls7e_ard_3-1-0_095079_2016-12-18_final
2017-07-14 09:51:51	ga_ls7e_ard_3-1-0_095079_2017-07-14_final
2017-07-30 09:52:14	ga_ls7e_ard_3-0-0_095080_2017-07-30_final
2018-11-22 09:47:08	ga_ls7e_ard_3-0-0_095083_2018-11-22_final
2021-02-09 09:42:22	ga_ls7e_ard_3-2-0_101080_2021-02-09_final
2021-03-03 09:02:49	ga_ls7e_ard_3-2-0_095078_2021-03-02_final
2021-03-07 10:16:39	ga_ls7e_ard_3-2-0_107078_2021-03-07_final
2021-03-29 09:38:13	ga_ls7e_ard_3-2-0_101079_2021-03-29_final
2021-03-30 10:20:36	ga_ls7e_ard_3-2-0_108077_2021-03-30_final
2021-04-04 08:59:51	ga_ls7e_ard_3-2-0_095077_2021-04-03_final
2021-04-11 10:44:43	ga_ls7e_ard_3-2-0_112078_2021-04-11_final
2021-04-30 09:35:32	ga_ls7e_ard_3-2-0_101079_2021-04-30_final
2021-05-11 09:14:29	ga_ls7e_ard_3-2-0_098075_2021-05-10_final
2021-05-13 09:02:45	ga_ls7e_ard_3-2-0_096077_2021-05-12_final
2021-05-22 10:34:41	ga_ls7e_ard_3-2-0_111077_2021-05-22_final
2021-05-22 10:35:05	ga_ls7e_ard_3-2-0_111078_2021-05-22_final
2021-05-23 09:40:35	ga_ls7e_ard_3-2-0_102081_2021-05-23_final
2021-06-01 09:32:49	ga_ls7e_ard_3-2-0_101079_2021-06-01_final
2021-06-01 09:33:13	ga_ls7e_ard_3-2-0_101080_2021-06-01_final
2021-06-08 09:38:02	ga_ls7e_ard_3-2-0_102078_2021-06-08_final
2021-06-14 09:00:04	ga_ls7e_ard_3-2-0_096077_2021-06-13_final
2021-06-14 10:38:57	ga_ls7e_ard_3-2-0_112077_2021-06-14_final
2021-06-14 10:39:45	ga_ls7e_ard_3-2-0_112079_2021-06-14_final
2021-06-25 08:41:26	ga_ls7e_ard_3-2-0_093079_2021-06-24_final
2021-06-30 10:38:26	ga_ls7e_ard_3-2-0_112079_2021-06-30_final
2021-07-08 09:46:19	ga_ls7e_ard_3-2-0_104074_2021-07-08_final
2021-07-11 10:18:57	ga_ls7e_ard_3-2-0_109079_2021-07-11_final
2021-07-18 10:24:08	ga_ls7e_ard_3-2-0_110078_2021-07-18_final
2021-07-22 09:59:28	ga_ls7e_ard_3-2-0_106079_2021-07-22_final
2021-08-01 08:55:36	ga_ls7e_ard_3-2-0_096076_2021-07-31_final
2021-08-01 08:56:24	ga_ls7e_ard_3-2-0_096078_2021-07-31_final
2021-08-01 10:35:17	ga_ls7e_ard_3-2-0_112078_2021-08-01_final
2021-08-01 10:35:41	ga_ls7e_ard_3-2-0_112079_2021-08-01_final
2021-08-03 10:23:08	ga_ls7e_ard_3-2-0_110079_2021-08-03_final
2021-08-05 10:09:48	ga_ls7e_ard_3-2-0_108077_2021-08-05_final
2021-08-10 08:49:01	ga_ls7e_ard_3-2-0_095077_2021-08-09_final
2021-08-21 10:08:23	ga_ls7e_ard_3-2-0_108077_2021-08-21_final
2021-08-26 10:27:42	ga_ls7e_ard_3-2-0_111080_2021-08-26_final
2021-08-28 10:14:46	ga_ls7e_ard_3-2-0_109079_2021-08-28_final
2021-09-02 08:52:48	ga_ls7e_ard_3-2-0_096076_2021-09-01_final
2021-09-04 10:19:57	ga_ls7e_ard_3-2-0_110078_2021-09-04_final
2021-09-05 09:25:26	ga_ls7e_ard_3-2-0_101081_2021-09-04_final
2021-09-09 08:57:58	ga_ls7e_ard_3-2-0_097075_2021-09-08_final
2021-09-15 10:00:26	ga_ls7e_ard_3-2-0_107078_2021-09-15_final
2021-09-20 08:39:39	ga_ls7e_ard_3-2-0_094078_2021-09-19_final
2021-09-26 09:39:42	ga_ls7e_ard_3-2-0_104075_2021-09-26_final
2021-09-27 08:45:36	ga_ls7e_ard_3-2-0_095079_2021-09-26_final
2021-09-27 10:24:04	ga_ls7e_ard_3-2-0_111078_2021-09-27_final
2021-10-08 10:04:10	ga_ls7e_ard_3-2-0_108077_2021-10-08_final
2021-10-11 10:34:48	ga_ls7e_ard_3-2-0_113077_2021-10-11_final
2021-10-20 08:48:33	ga_ls7e_ard_3-2-0_096076_2021-10-19_final
2021-10-27 08:53:41	ga_ls7e_ard_3-2-0_097075_2021-10-26_final
2021-10-28 09:36:51	ga_ls7e_ard_3-2-0_104075_2021-10-28_final
2021-11-09 10:01:14	ga_ls7e_ard_3-2-0_108077_2021-11-09_final
2021-12-11 09:58:35	ga_ls7e_ard_3-2-1_108078_2021-12-11_final
2021-12-24 09:28:01	ga_ls7e_ard_3-2-1_103082_2021-12-23_final
2021-12-27 09:57:01	ga_ls7e_ard_3-2-1_108078_2021-12-27_final
2022-02-27 10:03:17	ga_ls7e_ard_3-2-1_110078_2022-02-27_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