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
2000-06-25 11:42:33	ga_ls7e_ard_3-0-0_115074_2000-06-25_final
2000-07-20 11:36:01	ga_ls7e_ard_3-0-0_114074_2000-07-20_final
2000-10-24 11:36:53	ga_ls7e_ard_3-0-0_114079_2000-10-24_final
2001-04-18 11:34:45	ga_ls7e_ard_3-0-0_114074_2001-04-18_final
2001-11-28 11:33:35	ga_ls7e_ard_3-0-0_114075_2001-11-28_final
2001-11-28 11:35:35	ga_ls7e_ard_3-0-0_114080_2001-11-28_final
2001-12-23 11:30:20	ga_ls7e_ard_3-0-0_113082_2001-12-23_final
2001-12-30 11:33:38	ga_ls7e_ard_3-0-0_114075_2001-12-30_final
2003-01-27 11:30:32	ga_ls7e_ard_3-0-0_113083_2003-01-27_final
2003-04-08 11:35:47	ga_ls7e_ard_3-0-0_114080_2003-04-08_final
2004-12-22 11:34:42	ga_ls7e_ard_3-0-0_114076_2004-12-22_final
2005-04-06 11:30:28	ga_ls7e_ard_3-0-0_113080_2005-04-06_final
2005-09-04 11:34:36	ga_ls7e_ard_3-0-0_114076_2005-09-04_final
2005-10-22 11:35:03	ga_ls7e_ard_3-0-0_114077_2005-10-22_final
2005-11-07 11:35:14	ga_ls7e_ard_3-0-0_114077_2005-11-07_final
2007-10-05 11:30:53	ga_ls7e_ard_3-0-0_113081_2007-10-05_final
2008-09-05 11:29:26	ga_ls7e_ard_3-0-0_113079_2008-09-05_final
2008-09-05 11:29:50	ga_ls7e_ard_3-0-0_113080_2008-09-05_final
2009-02-28 11:30:28	ga_ls7e_ard_3-0-0_113079_2009-02-28_final
2009-12-20 11:36:30	ga_ls7e_ard_3-0-0_114076_2009-12-20_final
2012-05-02 11:39:54	ga_ls7e_ard_3-0-0_114076_2012-05-02_final
2014-06-16 11:49:24	ga_ls7e_ard_3-1-0_115077_2014-06-16_final
2014-12-11 11:38:51	ga_ls7e_ard_3-0-0_113079_2014-12-11_final
2016-02-14 11:53:53	ga_ls7e_ard_3-1-0_115077_2016-02-14_final
2016-02-16 11:42:19	ga_ls7e_ard_3-0-0_113079_2016-02-16_final
2016-05-13 11:49:01	ga_ls7e_ard_3-0-0_114079_2016-05-13_final
2016-06-14 11:48:46	ga_ls7e_ard_3-0-0_114078_2016-06-14_final
2016-12-23 11:47:48	ga_ls7e_ard_3-0-0_114076_2016-12-23_final
2017-07-26 11:55:27	ga_ls7e_ard_3-0-0_115079_2017-07-26_final
2017-08-20 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-08-20_final
2018-08-23 11:45:26	ga_ls7e_ard_3-0-0_114080_2018-08-23_final
2019-02-08 11:34:05	ga_ls7e_ard_3-0-0_113078_2019-02-08_final
2019-03-12 11:34:41	ga_ls7e_ard_3-1-0_113082_2019-03-12_final
2019-10-29 11:29:26	ga_ls7e_ard_3-1-0_114076_2019-10-29_final
2020-03-21 11:22:10	ga_ls7e_ard_3-1-0_114076_2020-03-21_final
2020-11-27 09:11:03	ga_ls7e_ard_3-1-0_095081_2020-11-26_final
2020-12-16 09:37:44	ga_ls7e_ard_3-1-0_100074_2020-12-16_final
2021-01-04 10:05:41	ga_ls7e_ard_3-1-0_105070_2021-01-04_final
2021-01-15 09:48:22	ga_ls7e_ard_3-1-0_102075_2021-01-15_final
2021-01-16 08:56:16	ga_ls7e_ard_3-1-0_093084_2021-01-15_final
2021-01-23 09:01:09	ga_ls7e_ard_3-2-0_094082_2021-01-22_final
2021-02-03 08:42:12	ga_ls7e_ard_3-2-0_091083_2021-02-02_final
2021-02-25 09:38:45	ga_ls7e_ard_3-2-0_101074_2021-02-25_final
2021-03-01 09:16:55	ga_ls7e_ard_3-2-0_097082_2021-02-28_final
2021-03-05 08:51:29	ga_ls7e_ard_3-2-0_093081_2021-03-04_final
2021-03-08 09:21:45	ga_ls7e_ard_3-2-0_098080_2021-03-07_final
2021-03-09 10:04:56	ga_ls7e_ard_3-2-0_105080_2021-03-09_final
2021-03-25 10:02:52	ga_ls7e_ard_3-2-0_105078_2021-03-25_final
2021-04-02 10:52:03	ga_ls7e_ard_3-2-0_113079_2021-04-02_final
2021-04-04 10:40:19	ga_ls7e_ard_3-2-0_111081_2021-04-04_final
2021-04-05 09:43:01	ga_ls7e_ard_3-2-0_102077_2021-04-05_final
2021-04-10 09:58:21	ga_ls7e_ard_3-2-0_105070_2021-04-10_final
2021-04-16 09:25:10	ga_ls7e_ard_3-2-0_099081_2021-04-15_final
2021-04-20 08:59:42	ga_ls7e_ard_3-2-0_095080_2021-04-19_final
2021-05-01 10:14:43	ga_ls7e_ard_3-2-0_108069_2021-05-01_final
2021-05-22 10:35:29	ga_ls7e_ard_3-2-0_111079_2021-05-22_final
2021-05-28 09:58:17	ga_ls7e_ard_3-2-0_105080_2021-05-28_final
2021-05-29 08:59:48	ga_ls7e_ard_3-2-0_096073_2021-05-28_final
2021-06-02 10:12:01	ga_ls7e_ard_3-2-0_108069_2021-06-02_final
2021-06-07 10:34:08	ga_ls7e_ard_3-2-0_111079_2021-06-07_final
2021-06-12 09:11:48	ga_ls7e_ard_3-2-0_098075_2021-06-11_final
2021-06-28 09:12:52	ga_ls7e_ard_3-2-0_098081_2021-06-27_final
2021-06-29 09:54:51	ga_ls7e_ard_3-2-0_105078_2021-06-29_final
2021-07-08 09:48:43	ga_ls7e_ard_3-2-0_104080_2021-07-08_final
2021-07-13 10:05:38	ga_ls7e_ard_3-2-0_107077_2021-07-13_final
2021-07-21 09:14:42	ga_ls7e_ard_3-2-0_099075_2021-07-20_final
2021-07-25 08:52:02	ga_ls7e_ard_3-2-0_095081_2021-07-24_final
2021-07-29 08:26:10	ga_ls7e_ard_3-2-0_091079_2021-07-28_final
2021-08-21 10:09:11	ga_ls7e_ard_3-2-0_108079_2021-08-21_final
2021-08-30 10:01:26	ga_ls7e_ard_3-2-0_107077_2021-08-30_final
2021-08-31 09:04:32	ga_ls7e_ard_3-2-0_098074_2021-08-30_final
2021-09-11 08:47:50	ga_ls7e_ard_3-2-0_095081_2021-09-10_final
2021-09-22 10:08:23	ga_ls7e_ard_3-2-0_108084_2021-09-22_final
2021-09-29 08:36:39	ga_ls7e_ard_3-2-0_093088_2021-09-28_final
2021-09-30 09:14:14	ga_ls7e_ard_3-2-0_100074_2021-09-29_final
2021-10-04 08:47:58	ga_ls7e_ard_3-2-0_096071_2021-10-03_final
2021-10-12 09:39:06	ga_ls7e_ard_3-2-0_104077_2021-10-12_final
2021-10-22 08:35:36	ga_ls7e_ard_3-2-0_094075_2021-10-21_final
2021-10-26 09:52:11	ga_ls7e_ard_3-2-0_106082_2021-10-26_final
2021-11-02 09:54:08	ga_ls7e_ard_3-2-0_107073_2021-11-02_final
2021-11-05 08:47:28	ga_ls7e_ard_3-2-0_096077_2021-11-04_final
2021-11-07 10:14:35	ga_ls7e_ard_3-2-0_110079_2021-11-07_final
2021-11-10 09:04:43	ga_ls7e_ard_3-2-0_099075_2021-11-09_final
2021-11-14 10:19:17	ga_ls7e_ard_3-2-1_111077_2021-11-14_final
2021-12-09 08:32:15	ga_ls7e_ard_3-2-1_094078_2021-12-08_final
2021-12-23 10:21:44	ga_ls7e_ard_3-2-1_112077_2021-12-23_final
2021-12-30 10:27:13	ga_ls7e_ard_3-2-1_113077_2021-12-30_final
2022-01-05 08:12:38	ga_ls7e_ard_3-2-1_091082_2022-01-04_final
2022-01-09 09:23:38	ga_ls7e_ard_3-2-1_103075_2022-01-08_final
2022-01-31 10:24:55	ga_ls7e_ard_3-2-1_113079_2022-01-31_final
2022-02-07 08:52:18	ga_ls7e_ard_3-2-1_098081_2022-02-06_final
2022-02-14 08:54:33	ga_ls7e_ard_3-2-1_099073_2022-02-13_final
2022-02-14 08:54:57	ga_ls7e_ard_3-2-1_099074_2022-02-13_final
2022-02-15 08:02:49	ga_ls7e_ard_3-2-1_090083_2022-02-14_final
2022-02-20 08:20:05	ga_ls7e_ard_3-2-1_093081_2022-02-19_final
2022-03-03 08:01:18	ga_ls7e_ard_3-2-1_090083_2022-03-02_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-17 09:48:44	ga_ls7e_ard_3-2-1_108077_2022-03-17_final
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_final
2022-03-24 08:17:46	ga_ls7e_ard_3-2-1_093083_2022-03-23_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