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
2000-01-04 10:34:03	ga_ls7e_ard_3-1-0_104070_2000-01-04_final
2000-03-11 09:31:00	ga_ls7e_ard_3-1-0_093083_2000-03-11_final
2000-12-05 10:31:32	ga_ls7e_ard_3-1-0_104070_2000-12-05_final
2001-01-22 10:31:45	ga_ls7e_ard_3-1-0_104070_2001-01-22_final
2001-02-26 09:29:58	ga_ls7e_ard_3-1-0_093086_2001-02-25_final
2001-04-12 10:31:20	ga_ls7e_ard_3-1-0_104070_2001-04-12_final
2001-04-15 09:30:09	ga_ls7e_ard_3-1-0_093087_2001-04-15_final
2001-06-18 09:29:34	ga_ls7e_ard_3-1-0_093087_2001-06-17_final
2001-10-02 10:00:37	ga_ls7e_ard_3-1-0_099075_2001-10-02_final
2001-10-24 09:26:43	ga_ls7e_ard_3-1-0_093083_2001-10-23_final
2002-01-25 10:30:05	ga_ls7e_ard_3-1-0_104070_2002-01-25_final
2002-04-02 09:28:47	ga_ls7e_ard_3-1-0_093087_2002-04-01_final
2002-10-08 10:28:55	ga_ls7e_ard_3-1-0_104070_2002-10-08_final
2005-09-01 09:27:38	ga_ls7e_ard_3-1-0_093083_2005-08-31_final
2006-09-20 09:27:56	ga_ls7e_ard_3-1-0_093083_2006-09-19_final
2006-11-23 09:30:26	ga_ls7e_ard_3-1-0_093088_2006-11-23_final
2010-05-10 09:30:35	ga_ls7e_ard_3-1-0_093083_2010-05-10_final
2010-07-10 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-07-10_final
2010-08-30 09:29:54	ga_ls7e_ard_3-1-0_093081_2010-08-29_final
2011-04-24 10:34:50	ga_ls7e_ard_3-1-0_104070_2011-04-24_final
2011-10-01 10:34:29	ga_ls7e_ard_3-1-0_104070_2011-10-01_final
2012-02-06 10:35:19	ga_ls7e_ard_3-1-0_104070_2012-02-06_final
2012-07-03 10:15:30	ga_ls7e_ard_3-1-0_100081_2012-07-03_final
2012-07-15 10:39:36	ga_ls7e_ard_3-1-0_104079_2012-07-15_final
2012-07-31 10:36:09	ga_ls7e_ard_3-1-0_104070_2012-07-31_final
2013-01-07 10:37:23	ga_ls7e_ard_3-1-0_104070_2013-01-07_final
2013-02-08 10:37:26	ga_ls7e_ard_3-1-0_104070_2013-02-08_final
2013-05-15 10:37:06	ga_ls7e_ard_3-1-0_104070_2013-05-15_final
2013-09-24 10:16:37	ga_ls7e_ard_3-1-0_100081_2013-09-24_final
2014-05-18 10:42:09	ga_ls7e_ard_3-1-0_104079_2014-05-18_final
2014-07-05 10:38:45	ga_ls7e_ard_3-1-0_104070_2014-07-05_final
2015-04-03 10:40:19	ga_ls7e_ard_3-1-0_104070_2015-04-03_final
2015-07-08 10:40:56	ga_ls7e_ard_3-1-0_104070_2015-07-08_final
2015-09-10 10:41:08	ga_ls7e_ard_3-1-0_104070_2015-09-10_final
2015-09-29 09:38:24	ga_ls7e_ard_3-1-0_093083_2015-09-29_final
2016-02-17 10:43:06	ga_ls7e_ard_3-1-0_104070_2016-02-17_final
2017-04-11 09:40:44	ga_ls7e_ard_3-1-0_093083_2017-04-11_final
2018-07-16 10:40:20	ga_ls7e_ard_3-1-0_104070_2018-07-16_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-22 10:05:09	ga_ls7e_ard_3-1-0_099073_2019-02-22_final
2019-03-29 10:34:30	ga_ls7e_ard_3-1-0_104072_2019-03-29_final
2019-03-29 10:37:42	ga_ls7e_ard_3-1-0_104080_2019-03-29_final
2019-04-17 09:29:51	ga_ls7e_ard_3-1-0_093082_2019-04-16_final
2019-08-24 10:07:20	ga_ls7e_ard_3-1-0_100080_2019-08-24_final
2019-08-25 10:49:45	ga_ls7e_ard_3-1-0_107078_2019-08-25_final
2019-09-05 10:29:33	ga_ls7e_ard_3-1-0_104075_2019-09-05_final
2019-09-05 10:30:21	ga_ls7e_ard_3-1-0_104077_2019-09-05_final
2019-09-05 10:31:56	ga_ls7e_ard_3-1-0_104081_2019-09-05_final
2019-09-10 10:47:04	ga_ls7e_ard_3-1-0_107073_2019-09-10_final
2019-09-10 10:49:04	ga_ls7e_ard_3-1-0_107078_2019-09-10_final
2019-09-18 09:57:40	ga_ls7e_ard_3-1-0_099074_2019-09-18_final
2019-09-18 10:00:28	ga_ls7e_ard_3-1-0_099081_2019-09-18_final
2019-09-21 10:28:50	ga_ls7e_ard_3-1-0_104075_2019-09-21_final
2019-09-24 09:22:43	ga_ls7e_ard_3-1-0_093080_2019-09-23_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-10-04 09:57:47	ga_ls7e_ard_3-1-0_099076_2019-10-04_final
2019-10-07 10:29:46	ga_ls7e_ard_3-1-0_104079_2019-10-07_final
2019-10-07 10:30:10	ga_ls7e_ard_3-1-0_104080_2019-10-07_final
2019-10-10 09:20:52	ga_ls7e_ard_3-1-0_093077_2019-10-09_final
2019-10-11 10:03:17	ga_ls7e_ard_3-1-0_100075_2019-10-11_final
2019-10-23 10:27:53	ga_ls7e_ard_3-1-0_104076_2019-10-23_final
2019-10-27 10:04:36	ga_ls7e_ard_3-1-0_100080_2019-10-27_final
2019-11-08 10:24:23	ga_ls7e_ard_3-1-0_104069_2019-11-08_final
2019-11-08 10:27:35	ga_ls7e_ard_3-1-0_104077_2019-11-08_final
2019-11-11 09:19:28	ga_ls7e_ard_3-1-0_093077_2019-11-10_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-11-21 09:55:41	ga_ls7e_ard_3-1-0_099076_2019-11-21_final
2019-11-24 10:28:26	ga_ls7e_ard_3-1-0_104081_2019-11-24_final
2019-12-10 10:27:15	ga_ls7e_ard_3-1-0_104080_2019-12-10_final
2019-12-26 10:25:14	ga_ls7e_ard_3-1-0_104077_2019-12-26_final
2019-12-29 09:19:05	ga_ls7e_ard_3-1-0_093082_2019-12-28_final
2019-12-30 10:01:30	ga_ls7e_ard_3-1-0_100080_2019-12-30_final
2019-12-30 10:01:54	ga_ls7e_ard_3-1-0_100081_2019-12-30_final
2020-01-11 10:22:01	ga_ls7e_ard_3-1-0_104071_2020-01-11_final
2020-01-14 09:18:16	ga_ls7e_ard_3-1-0_093082_2020-01-13_final
2020-01-27 10:21:13	ga_ls7e_ard_3-1-0_104071_2020-01-27_final
2020-02-12 10:22:48	ga_ls7e_ard_3-1-0_104077_2020-02-12_final
2020-02-15 09:15:52	ga_ls7e_ard_3-1-0_093080_2020-02-14_final
2020-02-17 10:39:29	ga_ls7e_ard_3-1-0_107073_2020-02-17_final
2020-02-28 10:21:10	ga_ls7e_ard_3-1-0_104075_2020-02-28_final
2020-02-28 10:23:09	ga_ls7e_ard_3-1-0_104080_2020-02-28_final
2020-03-15 10:20:18	ga_ls7e_ard_3-1-0_104075_2020-03-15_final
2020-03-15 10:21:06	ga_ls7e_ard_3-1-0_104077_2020-03-15_final
2020-03-20 10:39:45	ga_ls7e_ard_3-1-0_107078_2020-03-20_final
2020-04-05 10:38:51	ga_ls7e_ard_3-1-0_107078_2020-04-05_final
2020-04-05 10:39:15	ga_ls7e_ard_3-1-0_107079_2020-04-05_final
2020-04-13 09:47:22	ga_ls7e_ard_3-1-0_099074_2020-04-13_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2022-03-13 08:34:59	ga_ls7e_ard_3-2-1_096077_2022-03-12_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_final
2022-03-19 09:36:58	ga_ls7e_ard_3-2-1_106079_2022-03-19_final
2022-03-20 08:40:28	ga_ls7e_ard_3-2-1_097077_2022-03-19_final
2022-03-21 09:20:50	ga_ls7e_ard_3-2-1_104070_2022-03-20_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-24 08:15:46	ga_ls7e_ard_3-2-1_093078_2022-03-23_final
2022-03-27 08:45:11	ga_ls7e_ard_3-2-1_098075_2022-03-26_final
2022-03-30 09:13:49	ga_ls7e_ard_3-2-1_103070_2022-03-29_final
2022-03-31 10:00:10	ga_ls7e_ard_3-2-1_110078_2022-03-31_final
2022-04-01 09:02:51	ga_ls7e_ard_3-2-1_101074_2022-03-31_final
2022-04-01 09:04:51	ga_ls7e_ard_3-2-1_101079_2022-03-31_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