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
2003-09-25 10:29:49	ga_ls7e_ard_3-1-0_104071_2003-09-25_final
2004-05-09 09:27:37	ga_ls7e_ard_3-1-0_093083_2004-05-08_final
2004-07-29 10:09:46	ga_ls7e_ard_3-1-0_100081_2004-07-29_final
2004-11-14 10:30:10	ga_ls7e_ard_3-1-0_104070_2004-11-14_final
2005-05-28 09:28:00	ga_ls7e_ard_3-1-0_093083_2005-05-27_final
2005-09-14 10:30:17	ga_ls7e_ard_3-1-0_104070_2005-09-14_final
2005-11-01 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-11-01_final
2006-05-28 10:31:17	ga_ls7e_ard_3-1-0_104070_2006-05-28_final
2006-11-17 10:05:04	ga_ls7e_ard_3-1-0_099082_2006-11-17_final
2006-12-03 10:01:13	ga_ls7e_ard_3-1-0_099072_2006-12-03_final
2007-10-06 10:30:53	ga_ls7e_ard_3-1-0_104070_2007-10-06_final
2007-12-09 10:31:30	ga_ls7e_ard_3-1-0_104070_2007-12-09_final
2007-12-12 09:30:19	ga_ls7e_ard_3-1-0_093087_2007-12-12_final
2008-02-15 10:12:22	ga_ls7e_ard_3-1-0_100084_2008-02-15_final
2008-04-02 09:29:47	ga_ls7e_ard_3-1-0_093086_2008-04-01_final
2008-06-18 10:30:56	ga_ls7e_ard_3-1-0_104070_2008-06-18_final
2008-08-08 09:29:38	ga_ls7e_ard_3-1-0_093088_2008-08-07_final
2008-08-18 09:59:28	ga_ls7e_ard_3-1-0_099070_2008-08-18_final
2008-12-24 10:05:29	ga_ls7e_ard_3-1-0_099084_2008-12-24_final
2009-08-24 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-08-24_final
2009-12-17 09:29:51	ga_ls7e_ard_3-1-0_093084_2009-12-16_final
2011-05-14 10:14:28	ga_ls7e_ard_3-1-0_100081_2011-05-14_final
2011-08-01 09:29:54	ga_ls7e_ard_3-1-0_093078_2011-07-31_final
2012-06-29 10:35:46	ga_ls7e_ard_3-1-0_104070_2012-06-29_final
2013-05-31 10:36:59	ga_ls7e_ard_3-1-0_104070_2013-05-31_final
2013-07-21 09:30:11	ga_ls7e_ard_3-1-0_093074_2013-07-21_final
2013-08-03 10:36:29	ga_ls7e_ard_3-1-0_104070_2013-08-03_final
2014-06-19 10:38:38	ga_ls7e_ard_3-1-0_104070_2014-06-19_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2017-05-14 10:23:23	ga_ls7e_ard_3-1-0_100081_2017-05-14_final
2019-01-27 09:30:02	ga_ls7e_ard_3-1-0_093076_2019-01-27_final
2019-02-25 10:37:09	ga_ls7e_ard_3-1-0_104076_2019-02-25_final
2019-03-18 10:53:01	ga_ls7e_ard_3-1-0_107071_2019-03-18_final
2019-03-26 10:07:42	ga_ls7e_ard_3-1-0_099082_2019-03-26_final
2019-03-29 10:33:19	ga_ls7e_ard_3-1-0_104069_2019-03-29_final
2019-08-25 10:46:34	ga_ls7e_ard_3-1-0_107070_2019-08-25_final
2019-09-02 10:01:34	ga_ls7e_ard_3-1-0_099082_2019-09-02_final
2019-09-21 10:26:27	ga_ls7e_ard_3-1-0_104069_2019-09-21_final
2019-09-26 10:45:10	ga_ls7e_ard_3-1-0_107070_2019-09-26_final
2019-09-26 10:47:33	ga_ls7e_ard_3-1-0_107076_2019-09-26_final
2019-10-10 09:25:15	ga_ls7e_ard_3-1-0_093088_2019-10-09_final
2019-10-20 09:54:44	ga_ls7e_ard_3-1-0_099070_2019-10-20_final
2019-10-23 10:25:06	ga_ls7e_ard_3-1-0_104069_2019-10-23_final
2019-10-23 10:29:05	ga_ls7e_ard_3-1-0_104079_2019-10-23_final
2019-11-05 09:55:13	ga_ls7e_ard_3-1-0_099073_2019-11-05_final
2019-11-05 09:56:01	ga_ls7e_ard_3-1-0_099075_2019-11-05_final
2019-11-05 09:56:25	ga_ls7e_ard_3-1-0_099076_2019-11-05_final
2019-11-05 09:58:25	ga_ls7e_ard_3-1-0_099081_2019-11-05_final
2019-11-08 10:27:11	ga_ls7e_ard_3-1-0_104076_2019-11-08_final
2019-11-13 10:45:53	ga_ls7e_ard_3-1-0_107077_2019-11-13_final
2019-11-24 10:26:02	ga_ls7e_ard_3-1-0_104075_2019-11-24_final
2019-11-27 09:18:42	ga_ls7e_ard_3-1-0_093077_2019-11-26_final
2019-11-28 10:04:43	ga_ls7e_ard_3-1-0_100084_2019-11-28_final
2019-12-07 09:54:30	ga_ls7e_ard_3-1-0_099075_2019-12-07_final
2019-12-13 09:16:43	ga_ls7e_ard_3-1-0_093074_2019-12-12_final
2019-12-13 09:21:07	ga_ls7e_ard_3-1-0_093085_2019-12-12_final
2019-12-15 10:47:08	ga_ls7e_ard_3-1-0_107084_2019-12-15_final
2019-12-23 09:54:05	ga_ls7e_ard_3-1-0_099076_2019-12-23_final
2019-12-26 10:24:50	ga_ls7e_ard_3-1-0_104076_2019-12-26_final
2019-12-26 10:25:14	ga_ls7e_ard_3-1-0_104077_2019-12-26_final
2019-12-29 09:20:17	ga_ls7e_ard_3-1-0_093085_2019-12-28_final
2019-12-31 10:44:19	ga_ls7e_ard_3-1-0_107079_2019-12-31_final
2020-01-04 10:16:11	ga_ls7e_ard_3-1-0_103071_2020-01-04_final
2020-01-08 09:52:27	ga_ls7e_ard_3-1-0_099074_2020-01-08_final
2020-01-16 10:40:42	ga_ls7e_ard_3-1-0_107072_2020-01-16_final
2020-01-16 10:41:06	ga_ls7e_ard_3-1-0_107073_2020-01-16_final
2020-01-30 09:19:29	ga_ls7e_ard_3-1-0_093087_2020-01-29_final
2020-01-31 09:59:54	ga_ls7e_ard_3-1-0_100080_2020-01-31_final
2020-01-31 10:00:18	ga_ls7e_ard_3-1-0_100081_2020-01-31_final
2020-02-01 10:44:18	ga_ls7e_ard_3-1-0_107083_2020-02-01_final
2020-02-05 10:14:11	ga_ls7e_ard_3-1-0_103070_2020-02-05_final
2020-02-09 09:50:52	ga_ls7e_ard_3-1-0_099074_2020-02-09_final
2020-02-21 10:13:46	ga_ls7e_ard_3-1-0_103071_2020-02-21_final
2020-02-21 10:14:57	ga_ls7e_ard_3-1-0_103074_2020-02-21_final
2020-03-02 09:13:49	ga_ls7e_ard_3-1-0_093077_2020-03-01_final
2020-03-04 10:37:50	ga_ls7e_ard_3-1-0_107071_2020-03-04_final
2020-03-24 10:12:25	ga_ls7e_ard_3-1-0_103072_2020-03-24_final
2020-04-21 10:39:55	ga_ls7e_ard_3-1-0_107083_2020-04-21_final
2022-03-15 10:02:53	ga_ls7e_ard_3-2-1_110081_2022-03-15_final
2022-03-17 08:09:27	ga_ls7e_ard_3-2-1_092076_2022-03-16_final
2022-03-17 08:11:51	ga_ls7e_ard_3-2-1_092082_2022-03-16_final
2022-03-18 08:55:24	ga_ls7e_ard_3-2-1_099083_2022-03-17_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-21 09:23:38	ga_ls7e_ard_3-2-1_104077_2022-03-20_final
2022-03-22 10:07:12	ga_ls7e_ard_3-2-1_111078_2022-03-22_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-03-24 08:18:10	ga_ls7e_ard_3-2-1_093084_2022-03-23_final
2022-03-26 08:05:13	ga_ls7e_ard_3-2-1_091083_2022-03-25_final
2022-03-26 08:05:37	ga_ls7e_ard_3-2-1_091084_2022-03-25_final
2022-03-27 10:26:28	ga_ls7e_ard_3-2-1_114081_2022-03-27_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-03-29 08:31:03	ga_ls7e_ard_3-2-1_096071_2022-03-28_final
2022-03-31 08:19:17	ga_ls7e_ard_3-2-1_094073_2022-03-30_final
2022-03-31 09:58:10	ga_ls7e_ard_3-2-1_110073_2022-03-31_final
2022-04-01 09:02:27	ga_ls7e_ard_3-2-1_101073_2022-03-31_final
2022-04-02 09:49:36	ga_ls7e_ard_3-2-1_108083_2022-04-02_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_final
2022-04-04 07:58:10	ga_ls7e_ard_3-2-1_090083_2022-04-03_final
2022-04-05 08:36:56	ga_ls7e_ard_3-2-1_097072_2022-04-04_final
2022-04-05 10:17:24	ga_ls7e_ard_3-2-1_113076_2022-04-05_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