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
2000-10-08 11:37:48	ga_ls7e_ard_3-0-0_114081_2000-10-08_final
2004-11-20 11:35:36	ga_ls7e_ard_3-0-0_114079_2004-11-20_final
2005-07-09 11:41:49	ga_ls7e_ard_3-0-0_115078_2005-07-09_final
2005-10-29 11:40:55	ga_ls7e_ard_3-0-0_115076_2005-10-29_final
2005-11-23 11:36:10	ga_ls7e_ard_3-0-0_114079_2005-11-23_final
2006-01-17 11:41:06	ga_ls7e_ard_3-0-0_115075_2006-01-17_final
2006-11-01 11:42:33	ga_ls7e_ard_3-0-0_115079_2006-11-01_final
2007-01-20 11:42:39	ga_ls7e_ard_3-0-0_115078_2007-01-20_final
2007-04-03 11:37:33	ga_ls7e_ard_3-0-0_114080_2007-04-03_final
2007-12-31 11:34:58	ga_ls7e_ard_3-0-0_114074_2007-12-31_final
2008-11-06 11:41:26	ga_ls7e_ard_3-0-0_115078_2008-11-06_final
2008-11-22 11:42:03	ga_ls7e_ard_3-0-0_115079_2008-11-22_final
2010-05-13 11:39:09	ga_ls7e_ard_3-0-0_114080_2010-05-13_final
2010-08-01 11:39:38	ga_ls7e_ard_3-0-0_114081_2010-08-01_final
2011-02-16 11:45:50	ga_ls7e_ard_3-0-0_115078_2011-02-16_final
2011-02-25 11:38:08	ga_ls7e_ard_3-0-0_114074_2011-02-25_final
2011-07-26 11:46:17	ga_ls7e_ard_3-0-0_115079_2011-07-26_final
2011-12-17 11:44:38	ga_ls7e_ard_3-0-0_115074_2011-12-17_final
2012-03-15 11:41:32	ga_ls7e_ard_3-0-0_114081_2012-03-15_final
2012-03-22 11:44:56	ga_ls7e_ard_3-0-0_115074_2012-03-22_final
2012-12-03 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-12-03_final
2012-12-19 11:48:55	ga_ls7e_ard_3-0-0_115079_2012-12-19_final
2013-01-13 11:43:10	ga_ls7e_ard_3-0-0_114080_2013-01-13_final
2013-03-18 11:43:32	ga_ls7e_ard_3-0-0_114081_2013-03-18_final
2013-05-12 11:46:41	ga_ls7e_ard_3-0-0_115074_2013-05-12_final
2014-03-12 11:48:01	ga_ls7e_ard_3-0-0_115075_2014-03-12_final
2015-03-31 11:50:40	ga_ls7e_ard_3-0-0_115076_2015-03-31_final
2015-12-12 11:53:56	ga_ls7e_ard_3-0-0_115079_2015-12-12_final
2018-06-11 11:50:35	ga_ls7e_ard_3-0-0_115074_2018-06-11_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2020-10-31 11:07:57	ga_ls7e_ard_3-1-0_114075_2020-10-31_final
2020-12-14 09:47:52	ga_ls7e_ard_3-1-0_102068_2020-12-14_final
2020-12-15 08:58:57	ga_ls7e_ard_3-1-0_093085_2020-12-14_final
2020-12-21 09:54:18	ga_ls7e_ard_3-1-0_103070_2020-12-21_final
2020-12-26 10:14:53	ga_ls7e_ard_3-1-0_106076_2020-12-26_final
2020-12-30 09:48:41	ga_ls7e_ard_3-1-0_102073_2020-12-30_final
2020-12-31 10:32:17	ga_ls7e_ard_3-1-0_109074_2020-12-31_final
2021-01-02 08:44:30	ga_ls7e_ard_3-1-0_091083_2021-01-01_final
2021-01-03 11:05:46	ga_ls7e_ard_3-1-0_114081_2021-01-03_final
2021-01-18 10:19:27	ga_ls7e_ard_3-1-0_107076_2021-01-18_final
2021-02-04 11:03:04	ga_ls7e_ard_3-2-0_114080_2021-02-04_final
2021-02-04 11:03:28	ga_ls7e_ard_3-2-0_114081_2021-02-04_final
2021-02-14 09:58:56	ga_ls7e_ard_3-2-0_104076_2021-02-14_final
2021-02-21 10:04:11	ga_ls7e_ard_3-2-0_105075_2021-02-21_final
2021-02-22 09:06:30	ga_ls7e_ard_3-2-0_096070_2021-02-21_final
2021-03-08 09:20:34	ga_ls7e_ard_3-2-0_098077_2021-03-07_final
2021-03-15 09:22:36	ga_ls7e_ard_3-2-0_099068_2021-03-14_final
2021-03-17 09:15:16	ga_ls7e_ard_3-2-0_097081_2021-03-16_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-03-30 10:19:24	ga_ls7e_ard_3-2-0_108074_2021-03-30_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-14 09:38:05	ga_ls7e_ard_3-2-0_101082_2021-04-14_final
2021-04-24 08:37:26	ga_ls7e_ard_3-2-0_091087_2021-04-23_final
2021-04-25 09:19:25	ga_ls7e_ard_3-2-0_098084_2021-04-24_final
2021-04-26 09:58:36	ga_ls7e_ard_3-2-0_105074_2021-04-26_final
2021-04-27 09:07:41	ga_ls7e_ard_3-2-0_096086_2021-04-26_final
2021-05-08 08:49:02	ga_ls7e_ard_3-2-0_093088_2021-05-07_final
2021-05-20 10:43:14	ga_ls7e_ard_3-2-0_113067_2021-05-20_final
2021-05-25 09:28:51	ga_ls7e_ard_3-2-0_100083_2021-05-24_final
2021-05-26 10:06:50	ga_ls7e_ard_3-2-0_107070_2021-05-26_final
2021-06-03 09:16:43	ga_ls7e_ard_3-2-0_099070_2021-06-02_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-06-10 09:22:43	ga_ls7e_ard_3-2-0_100071_2021-06-09_final
2021-06-14 08:57:17	ga_ls7e_ard_3-2-0_096070_2021-06-13_final
2021-07-02 10:23:30	ga_ls7e_ard_3-2-0_110073_2021-07-02_final
2021-07-11 08:42:52	ga_ls7e_ard_3-2-0_093086_2021-07-10_final
2021-07-12 09:20:04	ga_ls7e_ard_3-2-0_100071_2021-07-11_final
2021-07-12 09:24:27	ga_ls7e_ard_3-2-0_100082_2021-07-11_final
2021-07-18 08:48:03	ga_ls7e_ard_3-2-0_094085_2021-07-17_final
2021-07-20 10:10:01	ga_ls7e_ard_3-2-0_108074_2021-07-20_final
2021-07-30 10:47:49	ga_ls7e_ard_3-2-0_114078_2021-07-30_final
2021-08-03 08:46:39	ga_ls7e_ard_3-2-0_094085_2021-08-02_final
2021-08-10 10:26:18	ga_ls7e_ard_3-2-0_111073_2021-08-10_final
2021-09-01 09:48:06	ga_ls7e_ard_3-2-0_105075_2021-09-01_final
2021-09-03 09:34:23	ga_ls7e_ard_3-2-0_103072_2021-09-03_final
2021-09-06 10:05:49	ga_ls7e_ard_3-2-0_108074_2021-09-06_final
2021-09-15 08:25:09	ga_ls7e_ard_3-2-0_091087_2021-09-14_final
2021-09-20 08:43:14	ga_ls7e_ard_3-2-0_094087_2021-09-19_final
2021-10-13 08:46:59	ga_ls7e_ard_3-2-0_095086_2021-10-12_final
2021-10-18 08:57:30	ga_ls7e_ard_3-2-0_098067_2021-10-17_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2021-11-10 09:01:56	ga_ls7e_ard_3-2-0_099068_2021-11-09_final
2021-11-26 09:04:46	ga_ls7e_ard_3-2-1_099079_2021-11-25_final
2021-11-28 10:29:06	ga_ls7e_ard_3-2-1_113074_2021-11-28_final
2021-12-01 09:23:38	ga_ls7e_ard_3-2-1_102081_2021-11-30_final
2021-12-03 09:11:06	ga_ls7e_ard_3-2-1_100081_2021-12-02_final
2021-12-18 10:02:05	ga_ls7e_ard_3-2-1_109073_2021-12-18_final
2021-12-25 10:08:47	ga_ls7e_ard_3-2-1_110076_2021-12-25_final
2021-12-29 08:09:34	ga_ls7e_ard_3-2-1_090088_2021-12-28_final
2022-01-09 09:20:50	ga_ls7e_ard_3-2-1_103068_2022-01-08_final
2022-01-13 08:56:33	ga_ls7e_ard_3-2-1_099070_2022-01-12_final
2022-01-23 07:59:23	ga_ls7e_ard_3-2-1_089084_2022-01-22_final
2022-01-23 09:31:52	ga_ls7e_ard_3-2-1_105068_2022-01-23_final
2022-02-04 09:58:35	ga_ls7e_ard_3-2-1_109076_2022-02-04_final
2022-02-07 08:48:19	ga_ls7e_ard_3-2-1_098071_2022-02-06_final
2022-02-15 09:41:18	ga_ls7e_ard_3-2-1_106082_2022-02-15_final
2022-03-17 08:13:26	ga_ls7e_ard_3-2-1_092086_2022-03-16_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_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