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
1999-06-30 11:51:16	ga_ls7e_ard_3-0-0_116078_1999-06-30_final
2000-12-02 11:41:58	ga_ls7e_ard_3-0-0_115076_2000-12-02_final
2000-12-02 11:42:21	ga_ls7e_ard_3-0-0_115077_2000-12-02_final
2001-02-04 11:42:50	ga_ls7e_ard_3-0-0_115078_2001-02-04_final
2001-05-11 11:41:34	ga_ls7e_ard_3-0-0_115076_2001-05-11_final
2001-08-24 11:35:48	ga_ls7e_ard_3-0-0_114080_2001-08-24_final
2002-07-01 11:40:03	ga_ls7e_ard_3-0-0_115076_2002-07-01_final
2003-05-17 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-05-17_final
2004-04-01 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-04-01_final
2007-05-28 11:41:04	ga_ls7e_ard_3-0-0_115074_2007-05-28_final
2007-07-24 11:35:35	ga_ls7e_ard_3-0-0_114076_2007-07-24_final
2007-11-13 11:37:07	ga_ls7e_ard_3-0-0_114080_2007-11-13_final
2007-12-22 11:41:08	ga_ls7e_ard_3-0-0_115074_2007-12-22_final
2008-04-12 11:42:08	ga_ls7e_ard_3-0-0_115077_2008-04-12_final
2008-06-24 11:35:52	ga_ls7e_ard_3-0-0_114078_2008-06-24_final
2008-10-30 11:35:09	ga_ls7e_ard_3-0-0_114078_2008-10-30_final
2009-06-18 11:42:25	ga_ls7e_ard_3-1-0_115077_2009-06-18_final
2010-04-02 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-04-02_final
2011-04-14 11:40:38	ga_ls7e_ard_3-0-0_114080_2011-04-14_final
2011-06-01 11:40:37	ga_ls7e_ard_3-0-0_114080_2011-06-01_final
2012-11-17 11:47:58	ga_ls7e_ard_3-1-0_115077_2012-11-17_final
2013-04-03 11:43:04	ga_ls7e_ard_3-0-0_114080_2013-04-03_final
2013-06-22 11:42:38	ga_ls7e_ard_3-0-0_114080_2013-06-22_final
2013-12-31 11:43:27	ga_ls7e_ard_3-0-0_114080_2013-12-31_final
2014-02-08 11:48:53	ga_ls7e_ard_3-0-0_115077_2014-02-08_final
2014-05-24 11:43:35	ga_ls7e_ard_3-0-0_114078_2014-05-24_final
2014-08-03 11:48:27	ga_ls7e_ard_3-0-0_115074_2014-08-03_final
2016-01-13 11:53:12	ga_ls7e_ard_3-0-0_115076_2016-01-13_final
2017-04-30 11:48:39	ga_ls7e_ard_3-0-0_114078_2017-04-30_final
2018-02-12 11:48:10	ga_ls7e_ard_3-0-0_114079_2018-02-12_final
2018-03-07 11:54:06	ga_ls7e_ard_3-0-0_115079_2018-03-07_final
2018-07-06 11:44:19	ga_ls7e_ard_3-0-0_114075_2018-07-06_final
2018-07-13 11:51:10	ga_ls7e_ard_3-0-0_115077_2018-07-13_final
2018-11-02 11:48:25	ga_ls7e_ard_3-0-0_115076_2018-11-02_final
2019-02-06 11:46:06	ga_ls7e_ard_3-1-0_115077_2019-02-06_final
2019-04-20 11:36:43	ga_ls7e_ard_3-0-0_114075_2019-04-20_final
2019-04-20 11:37:55	ga_ls7e_ard_3-0-0_114078_2019-04-20_final
2019-06-30 11:39:52	ga_ls7e_ard_3-0-0_115074_2019-06-30_final
2019-10-20 11:37:12	ga_ls7e_ard_3-1-0_115079_2019-10-20_final
2020-11-25 09:23:33	ga_ls7e_ard_3-1-0_097081_2020-11-24_final
2020-11-25 11:02:26	ga_ls7e_ard_3-1-0_113081_2020-11-25_final
2020-11-29 10:37:49	ga_ls7e_ard_3-1-0_109082_2020-11-29_final
2020-12-08 10:30:59	ga_ls7e_ard_3-1-0_108082_2020-12-08_final
2020-12-11 09:21:34	ga_ls7e_ard_3-1-0_097079_2020-12-10_final
2021-01-07 10:41:10	ga_ls7e_ard_3-1-0_110082_2021-01-07_final
2021-01-12 09:20:52	ga_ls7e_ard_3-1-0_097083_2021-01-11_final
2021-01-12 11:00:09	ga_ls7e_ard_3-1-0_113084_2021-01-12_final
2021-01-21 09:07:40	ga_ls7e_ard_3-2-0_096067_2021-01-20_final
2021-02-23 09:52:28	ga_ls7e_ard_3-2-0_103077_2021-02-23_final
2021-03-01 09:14:32	ga_ls7e_ard_3-2-0_097076_2021-02-28_final
2021-03-01 09:15:43	ga_ls7e_ard_3-2-0_097079_2021-02-28_final
2021-03-09 08:27:39	ga_ls7e_ard_3-2-0_089084_2021-03-08_final
2021-04-06 10:23:48	ga_ls7e_ard_3-2-0_109071_2021-04-06_final
2021-04-12 09:49:49	ga_ls7e_ard_3-2-0_103080_2021-04-12_final
2021-04-13 10:31:24	ga_ls7e_ard_3-2-0_110076_2021-04-13_final
2021-04-22 10:23:16	ga_ls7e_ard_3-2-0_109073_2021-04-22_final
2021-04-24 08:35:03	ga_ls7e_ard_3-2-0_091081_2021-04-23_final
2021-05-03 10:05:47	ga_ls7e_ard_3-2-0_106078_2021-05-03_final
2021-05-10 10:12:11	ga_ls7e_ard_3-2-0_107080_2021-05-10_final
2021-05-27 10:51:36	ga_ls7e_ard_3-2-0_114074_2021-05-27_final
2021-05-30 09:41:46	ga_ls7e_ard_3-2-0_103070_2021-05-30_final
2021-06-02 08:35:31	ga_ls7e_ard_3-2-0_092075_2021-06-01_final
2021-06-04 09:59:53	ga_ls7e_ard_3-2-0_106070_2021-06-04_final
2021-06-21 09:06:29	ga_ls7e_ard_3-2-0_097079_2021-06-20_final
2021-06-30 08:55:57	ga_ls7e_ard_3-2-0_096070_2021-06-29_final
2021-07-14 10:48:48	ga_ls7e_ard_3-2-0_114077_2021-07-14_final
2021-08-10 08:50:37	ga_ls7e_ard_3-2-0_095081_2021-08-09_final
2021-08-12 08:40:05	ga_ls7e_ard_3-2-0_093086_2021-08-11_final
2021-08-13 09:21:15	ga_ls7e_ard_3-2-0_100081_2021-08-12_final
2021-08-19 08:41:39	ga_ls7e_ard_3-2-0_094076_2021-08-18_final
2021-08-26 10:22:31	ga_ls7e_ard_3-2-0_111067_2021-08-26_final
2021-08-26 10:29:18	ga_ls7e_ard_3-2-0_111084_2021-08-26_final
2021-09-03 09:36:46	ga_ls7e_ard_3-2-0_103078_2021-09-03_final
2021-09-17 08:12:13	ga_ls7e_ard_3-2-0_089086_2021-09-16_final
2021-09-29 10:08:44	ga_ls7e_ard_3-2-0_109071_2021-09-29_final
2021-09-29 10:13:08	ga_ls7e_ard_3-2-0_109082_2021-09-29_final
2021-10-01 09:59:48	ga_ls7e_ard_3-2-0_107080_2021-10-01_final
2021-10-15 10:10:08	ga_ls7e_ard_3-2-0_109078_2021-10-15_final
2021-10-15 10:12:07	ga_ls7e_ard_3-2-0_109083_2021-10-15_final
2021-10-22 08:37:36	ga_ls7e_ard_3-2-0_094080_2021-10-21_final
2021-10-23 09:21:34	ga_ls7e_ard_3-2-0_101082_2021-10-22_final
2021-10-27 10:34:10	ga_ls7e_ard_3-2-0_113079_2021-10-27_final
2021-11-13 09:35:44	ga_ls7e_ard_3-2-1_104076_2021-11-13_final
2021-11-27 09:45:32	ga_ls7e_ard_3-2-1_106073_2021-11-27_final
2021-12-01 09:19:39	ga_ls7e_ard_3-2-1_102071_2021-11-30_final
2021-12-10 09:15:01	ga_ls7e_ard_3-2-1_101077_2021-12-09_final
2021-12-11 08:18:30	ga_ls7e_ard_3-2-1_092075_2021-12-10_final
2021-12-18 08:26:24	ga_ls7e_ard_3-2-1_093081_2021-12-17_final
2021-12-18 10:02:05	ga_ls7e_ard_3-2-1_109073_2021-12-18_final
2021-12-23 08:43:39	ga_ls7e_ard_3-2-1_096079_2021-12-22_final
2022-01-01 08:38:10	ga_ls7e_ard_3-2-1_095083_2021-12-31_final
2022-01-08 08:40:04	ga_ls7e_ard_3-2-1_096074_2022-01-07_final
2022-01-14 08:05:37	ga_ls7e_ard_3-2-1_090082_2022-01-13_final
2022-01-21 09:49:13	ga_ls7e_ard_3-2-1_107080_2022-01-21_final
2022-01-22 10:30:23	ga_ls7e_ard_3-2-1_114075_2022-01-22_final
2022-01-30 09:42:57	ga_ls7e_ard_3-2-1_106082_2022-01-30_final
2022-02-03 09:16:38	ga_ls7e_ard_3-2-1_102079_2022-02-02_final
2022-02-06 09:47:37	ga_ls7e_ard_3-2-1_107080_2022-02-06_final
2022-02-26 09:20:07	ga_ls7e_ard_3-2-1_103078_2022-02-25_final
2022-04-05 08:36:32	ga_ls7e_ard_3-2-1_097071_2022-04-04_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