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
1999-11-02 09:44:52	ga_ls7e_ard_3-0-0_095086_1999-11-02_final
1999-12-04 09:42:50	ga_ls7e_ard_3-0-0_095081_1999-12-04_final
1999-12-20 09:44:07	ga_ls7e_ard_3-0-0_095084_1999-12-20_final
2000-03-25 09:43:47	ga_ls7e_ard_3-0-0_095084_2000-03-25_final
2000-05-12 09:42:31	ga_ls7e_ard_3-0-0_095082_2000-05-12_final
2000-08-16 09:43:28	ga_ls7e_ard_3-0-0_095087_2000-08-16_final
2000-10-19 09:40:35	ga_ls7e_ard_3-0-0_095082_2000-10-19_final
2000-11-20 09:40:43	ga_ls7e_ard_3-0-0_095082_2000-11-20_final
2000-12-06 09:39:54	ga_ls7e_ard_3-0-0_095080_2000-12-06_final
2001-03-12 09:40:19	ga_ls7e_ard_3-0-0_095081_2001-03-12_final
2001-05-15 09:39:28	ga_ls7e_ard_3-0-0_095080_2001-05-15_final
2001-05-15 09:39:52	ga_ls7e_ard_3-0-0_095081_2001-05-15_final
2001-10-06 09:37:51	ga_ls7e_ard_3-0-0_095080_2001-10-06_final
2002-03-15 09:40:04	ga_ls7e_ard_3-0-0_095084_2002-03-15_final
2002-08-06 09:39:22	ga_ls7e_ard_3-0-0_095084_2002-08-06_final
2002-09-07 09:37:58	ga_ls7e_ard_3-0-0_095081_2002-09-07_final
2002-09-23 09:37:46	ga_ls7e_ard_3-0-0_095081_2002-09-23_final
2003-03-18 09:38:42	ga_ls7e_ard_3-0-0_095081_2003-03-18_final
2003-04-19 09:39:56	ga_ls7e_ard_3-0-0_095084_2003-04-19_final
2003-05-21 09:38:16	ga_ls7e_ard_3-0-0_095080_2003-05-21_final
2011-06-12 09:43:11	ga_ls7e_ard_3-0-0_095080_2011-06-12_final
2011-09-16 09:42:28	ga_ls7e_ard_3-1-0_095079_2011-09-16_final
2012-01-06 09:43:37	ga_ls7e_ard_3-0-0_095080_2012-01-06_final
2012-11-21 09:44:47	ga_ls7e_ard_3-0-0_095078_2012-11-21_final
2013-02-25 09:45:44	ga_ls7e_ard_3-0-0_095080_2013-02-25_final
2013-03-13 09:44:56	ga_ls7e_ard_3-0-0_095078_2013-03-13_final
2013-03-13 09:45:44	ga_ls7e_ard_3-0-0_095080_2013-03-13_final
2013-08-04 09:44:51	ga_ls7e_ard_3-0-0_095080_2013-08-04_final
2013-08-20 09:46:08	ga_ls7e_ard_3-0-0_095083_2013-08-20_final
2014-04-17 09:46:18	ga_ls7e_ard_3-1-0_095079_2014-04-17_final
2014-06-20 09:46:13	ga_ls7e_ard_3-0-0_095078_2014-06-20_final
2014-10-10 09:49:08	ga_ls7e_ard_3-0-0_095084_2014-10-10_final
2014-10-26 09:47:18	ga_ls7e_ard_3-1-0_095079_2014-10-26_final
2014-11-11 09:49:27	ga_ls7e_ard_3-0-0_095084_2014-11-11_final
2015-03-03 09:48:28	ga_ls7e_ard_3-0-0_095080_2015-03-03_final
2015-09-27 09:48:46	ga_ls7e_ard_3-0-0_095078_2015-09-27_final
2016-02-18 09:51:28	ga_ls7e_ard_3-0-0_095080_2016-02-18_final
2016-04-22 09:51:07	ga_ls7e_ard_3-0-0_095078_2016-04-22_final
2016-08-12 09:51:25	ga_ls7e_ard_3-0-0_095078_2016-08-12_final
2016-12-18 09:51:13	ga_ls7e_ard_3-0-0_095078_2016-12-18_final
2017-02-20 09:50:48	ga_ls7e_ard_3-0-0_095078_2017-02-20_final
2017-04-25 09:51:12	ga_ls7e_ard_3-0-0_095078_2017-04-25_final
2017-08-15 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-08-15_final
2017-10-02 09:51:24	ga_ls7e_ard_3-0-0_095078_2017-10-02_final
2017-11-19 09:53:46	ga_ls7e_ard_3-0-0_095084_2017-11-19_final
2018-03-11 09:50:51	ga_ls7e_ard_3-0-0_095080_2018-03-11_final
2018-05-14 09:49:02	ga_ls7e_ard_3-0-0_095078_2018-05-14_final
2018-08-18 09:47:19	ga_ls7e_ard_3-0-0_095078_2018-08-18_final
2018-09-19 09:46:38	ga_ls7e_ard_3-0-0_095078_2018-09-19_final
2019-01-09 09:43:47	ga_ls7e_ard_3-0-0_095078_2019-01-09_final
2019-01-09 09:46:11	ga_ls7e_ard_3-0-0_095084_2019-01-09_final
2019-09-22 09:34:22	ga_ls7e_ard_3-1-0_095078_2019-09-22_final
2020-03-16 09:25:49	ga_ls7e_ard_3-1-0_095078_2020-03-15_final
2020-05-03 09:23:03	ga_ls7e_ard_3-1-0_095078_2020-05-02_final
2020-09-08 09:15:11	ga_ls7e_ard_3-1-0_095078_2020-09-07_final
2021-01-21 09:10:52	ga_ls7e_ard_3-2-0_096075_2021-01-20_final
2021-02-15 09:06:02	ga_ls7e_ard_3-2-0_095083_2021-02-14_final
2021-02-17 08:53:07	ga_ls7e_ard_3-2-0_093082_2021-02-16_final
2021-02-28 10:12:13	ga_ls7e_ard_3-2-0_106081_2021-02-28_final
2021-03-04 09:44:48	ga_ls7e_ard_3-2-0_102075_2021-03-04_final
2021-03-05 08:51:53	ga_ls7e_ard_3-2-0_093082_2021-03-04_final
2021-03-11 09:52:01	ga_ls7e_ard_3-2-0_103079_2021-03-11_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-11 09:08:38	ga_ls7e_ard_3-2-0_096085_2021-04-10_final
2021-04-13 08:53:43	ga_ls7e_ard_3-2-0_094079_2021-04-12_final
2021-05-22 10:35:05	ga_ls7e_ard_3-2-0_111078_2021-05-22_final
2021-06-01 09:32:49	ga_ls7e_ard_3-2-0_101079_2021-06-01_final
2021-06-06 09:51:21	ga_ls7e_ard_3-2-0_104080_2021-06-06_final
2021-06-28 09:10:29	ga_ls7e_ard_3-2-0_098075_2021-06-27_final
2021-06-30 10:37:38	ga_ls7e_ard_3-2-0_112077_2021-06-30_final
2021-06-30 10:38:26	ga_ls7e_ard_3-2-0_112079_2021-06-30_final
2021-07-04 10:12:58	ga_ls7e_ard_3-2-0_108078_2021-07-04_final
2021-07-20 10:11:12	ga_ls7e_ard_3-2-0_108077_2021-07-20_final
2021-07-20 10:11:36	ga_ls7e_ard_3-2-0_108078_2021-07-20_final
2021-08-01 08:56:24	ga_ls7e_ard_3-2-0_096078_2021-07-31_final
2021-08-05 10:09:48	ga_ls7e_ard_3-2-0_108077_2021-08-05_final
2021-08-07 09:57:16	ga_ls7e_ard_3-2-0_106077_2021-08-07_final
2021-08-13 09:18:03	ga_ls7e_ard_3-2-0_100073_2021-08-12_final
2021-08-17 08:53:47	ga_ls7e_ard_3-2-0_096075_2021-08-16_final
2021-08-23 09:57:27	ga_ls7e_ard_3-2-0_106081_2021-08-23_final
2021-08-24 10:38:38	ga_ls7e_ard_3-2-0_113076_2021-08-24_final
2021-08-31 09:04:56	ga_ls7e_ard_3-2-0_098075_2021-08-30_final
2021-09-11 08:46:38	ga_ls7e_ard_3-2-0_095078_2021-09-10_final
2021-09-11 08:47:26	ga_ls7e_ard_3-2-0_095080_2021-09-10_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-09-20 08:40:03	ga_ls7e_ard_3-2-0_094079_2021-09-19_final
2021-10-05 09:34:20	ga_ls7e_ard_3-2-0_103079_2021-10-05_final
2021-10-20 08:48:33	ga_ls7e_ard_3-2-0_096076_2021-10-19_final
2021-10-21 09:32:55	ga_ls7e_ard_3-2-0_103079_2021-10-21_final
2021-12-01 09:23:14	ga_ls7e_ard_3-2-1_102080_2021-11-30_final
2021-12-14 08:49:07	ga_ls7e_ard_3-2-1_097075_2021-12-13_final
2021-12-20 09:51:32	ga_ls7e_ard_3-2-1_107078_2021-12-20_final
2022-01-02 09:20:07	ga_ls7e_ard_3-2-1_102080_2022-01-01_final
2022-01-11 09:13:05	ga_ls7e_ard_3-2-1_101080_2022-01-10_final
2022-01-17 08:34:38	ga_ls7e_ard_3-2-1_095078_2022-01-16_final
2022-01-21 09:48:25	ga_ls7e_ard_3-2-1_107078_2022-01-21_final
2022-01-26 08:26:47	ga_ls7e_ard_3-2-1_094076_2022-01-25_final
2022-02-20 09:58:10	ga_ls7e_ard_3-2-1_109079_2022-02-20_final
2022-02-27 08:24:24	ga_ls7e_ard_3-2-1_094078_2022-02-26_final
2022-03-06 08:29:54	ga_ls7e_ard_3-2-1_095078_2022-03-05_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