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
1999-10-22 11:38:15	ga_ls7e_ard_3-0-0_114076_1999-10-22_final
2000-02-04 11:33:37	ga_ls7e_ard_3-0-0_113080_2000-02-04_final
2000-03-07 11:33:49	ga_ls7e_ard_3-0-0_113081_2000-03-07_final
2000-04-22 11:43:06	ga_ls7e_ard_3-0-0_115074_2000-04-22_final
2000-05-26 11:32:48	ga_ls7e_ard_3-0-0_113080_2000-05-26_final
2000-07-04 11:37:50	ga_ls7e_ard_3-0-0_114078_2000-07-04_final
2001-08-17 11:30:28	ga_ls7e_ard_3-0-0_113082_2001-08-17_final
2001-12-23 11:29:56	ga_ls7e_ard_3-0-0_113081_2001-12-23_final
2001-12-30 11:34:50	ga_ls7e_ard_3-0-0_114078_2001-12-30_final
2002-03-29 11:29:15	ga_ls7e_ard_3-0-0_113079_2002-03-29_final
2002-10-30 11:32:24	ga_ls7e_ard_3-0-0_114074_2002-10-30_final
2003-03-07 11:35:46	ga_ls7e_ard_3-0-0_114080_2003-03-07_final
2004-05-21 11:30:01	ga_ls7e_ard_3-1-0_113080_2004-05-21_final
2004-10-03 11:33:59	ga_ls7e_ard_3-0-0_114076_2004-10-03_final
2008-04-30 11:32:31	ga_ls7e_ard_3-0-0_113084_2008-04-30_final
2008-09-28 11:34:12	ga_ls7e_ard_3-0-0_114076_2008-09-28_final
2008-10-14 11:35:16	ga_ls7e_ard_3-0-0_114079_2008-10-14_final
2008-10-30 11:34:21	ga_ls7e_ard_3-0-0_114076_2008-10-30_final
2010-10-04 11:37:40	ga_ls7e_ard_3-0-0_114076_2010-10-04_final
2011-01-17 11:33:21	ga_ls7e_ard_3-0-0_113078_2011-01-17_final
2011-04-23 11:34:02	ga_ls7e_ard_3-0-0_113079_2011-04-23_final
2012-02-05 11:35:19	ga_ls7e_ard_3-0-0_113081_2012-02-05_final
2012-04-09 11:34:30	ga_ls7e_ard_3-0-0_113079_2012-04-09_final
2012-09-16 11:37:52	ga_ls7e_ard_3-0-0_113084_2012-09-16_final
2012-10-18 11:35:24	ga_ls7e_ard_3-0-0_113077_2012-10-18_final
2013-01-22 11:36:37	ga_ls7e_ard_3-0-0_113079_2013-01-22_final
2013-04-28 11:37:09	ga_ls7e_ard_3-0-0_113081_2013-04-28_final
2013-05-05 11:42:31	ga_ls7e_ard_3-0-0_114079_2013-05-05_final
2013-08-02 11:36:30	ga_ls7e_ard_3-0-0_113081_2013-08-02_final
2013-10-28 11:41:30	ga_ls7e_ard_3-0-0_114076_2013-10-28_final
2013-12-24 11:37:37	ga_ls7e_ard_3-0-0_113081_2013-12-24_final
2014-02-26 11:36:21	ga_ls7e_ard_3-0-0_113077_2014-02-26_final
2014-08-21 11:38:04	ga_ls7e_ard_3-0-0_113079_2014-08-21_final
2015-06-05 11:40:48	ga_ls7e_ard_3-0-0_113081_2015-06-05_final
2016-09-27 11:43:11	ga_ls7e_ard_3-0-0_113079_2016-09-27_final
2017-04-07 11:42:19	ga_ls7e_ard_3-0-0_113078_2017-04-07_final
2017-11-01 11:42:41	ga_ls7e_ard_3-0-0_113078_2017-11-01_final
2018-06-20 11:46:38	ga_ls7e_ard_3-0-0_114080_2018-06-20_final
2018-08-07 11:45:21	ga_ls7e_ard_3-0-0_114079_2018-08-07_final
2018-08-16 11:40:11	ga_ls7e_ard_3-0-0_113082_2018-08-16_final
2019-11-14 11:29:54	ga_ls7e_ard_3-1-0_114079_2019-11-14_final
2020-12-01 08:45:14	ga_ls7e_ard_3-1-0_091079_2020-11-30_final
2020-12-03 10:11:13	ga_ls7e_ard_3-1-0_105078_2020-12-03_final
2020-12-04 09:15:31	ga_ls7e_ard_3-1-0_096078_2020-12-03_final
2021-01-09 10:26:40	ga_ls7e_ard_3-1-0_108077_2021-01-09_final
2021-01-13 10:00:52	ga_ls7e_ard_3-1-0_104075_2021-01-13_final
2021-01-14 09:05:35	ga_ls7e_ard_3-1-0_095076_2021-01-13_final
2021-01-23 10:38:50	ga_ls7e_ard_3-2-0_110079_2021-01-23_final
2021-01-30 10:44:06	ga_ls7e_ard_3-2-0_111078_2021-01-30_final
2021-02-17 08:51:55	ga_ls7e_ard_3-2-0_093079_2021-02-16_final
2021-02-19 10:17:53	ga_ls7e_ard_3-2-0_107078_2021-02-19_final
2021-02-22 10:48:58	ga_ls7e_ard_3-2-0_112079_2021-02-22_final
2021-03-20 09:45:07	ga_ls7e_ard_3-2-0_102079_2021-03-20_final
2021-04-03 09:52:45	ga_ls7e_ard_3-2-0_104070_2021-04-03_final
2021-04-18 10:51:31	ga_ls7e_ard_3-2-0_113081_2021-04-18_final
2021-04-20 10:37:47	ga_ls7e_ard_3-2-0_111078_2021-04-20_final
2021-05-19 10:04:27	ga_ls7e_ard_3-2-0_106078_2021-05-19_final
2021-05-21 09:49:55	ga_ls7e_ard_3-2-0_104073_2021-05-21_final
2021-06-07 08:54:52	ga_ls7e_ard_3-2-0_095078_2021-06-06_final
2021-06-08 09:35:39	ga_ls7e_ard_3-2-0_102072_2021-06-08_final
2021-06-10 09:26:19	ga_ls7e_ard_3-2-0_100080_2021-06-09_final
2021-06-14 10:38:09	ga_ls7e_ard_3-2-0_112075_2021-06-14_final
2021-06-14 10:40:09	ga_ls7e_ard_3-2-0_112080_2021-06-14_final
2021-06-23 08:53:09	ga_ls7e_ard_3-2-0_095077_2021-06-22_final
2021-06-27 10:05:23	ga_ls7e_ard_3-2-0_107073_2021-06-27_final
2021-06-30 08:54:46	ga_ls7e_ard_3-2-0_096067_2021-06-29_final
2021-07-15 09:53:06	ga_ls7e_ard_3-2-0_105077_2021-07-15_final
2021-07-16 08:58:59	ga_ls7e_ard_3-2-0_096081_2021-07-15_final
2021-07-24 09:44:09	ga_ls7e_ard_3-2-0_104072_2021-07-24_final
2021-07-26 09:32:25	ga_ls7e_ard_3-2-0_102074_2021-07-26_final
2021-07-27 08:40:42	ga_ls7e_ard_3-2-0_093084_2021-07-26_final
2021-08-08 09:01:10	ga_ls7e_ard_3-2-0_097076_2021-08-07_final
2021-08-12 08:36:53	ga_ls7e_ard_3-2-0_093078_2021-08-11_final
2021-08-12 10:15:46	ga_ls7e_ard_3-2-0_109078_2021-08-12_final
2021-08-26 10:26:54	ga_ls7e_ard_3-2-0_111078_2021-08-26_final
2021-09-09 10:37:39	ga_ls7e_ard_3-2-0_113077_2021-09-09_final
2021-09-11 10:25:07	ga_ls7e_ard_3-2-0_111077_2021-09-11_final
2021-09-13 08:33:42	ga_ls7e_ard_3-2-0_093077_2021-09-12_final
2021-09-16 09:03:56	ga_ls7e_ard_3-2-0_098076_2021-09-15_final
2021-10-02 09:01:18	ga_ls7e_ard_3-2-0_098073_2021-10-01_final
2021-10-07 09:22:12	ga_ls7e_ard_3-2-0_101080_2021-10-06_final
2021-10-25 09:08:37	ga_ls7e_ard_3-2-0_099081_2021-10-24_final
2021-10-28 09:36:03	ga_ls7e_ard_3-2-0_104073_2021-10-28_final
2021-11-05 08:46:16	ga_ls7e_ard_3-2-0_096074_2021-11-04_final
2021-11-13 09:36:56	ga_ls7e_ard_3-2-1_104079_2021-11-13_final
2021-12-19 09:07:10	ga_ls7e_ard_3-2-1_100075_2021-12-18_final
2021-12-21 08:57:01	ga_ls7e_ard_3-2-1_098081_2021-12-20_final
2021-12-23 08:45:15	ga_ls7e_ard_3-2-1_096083_2021-12-22_final
2021-12-30 10:28:01	ga_ls7e_ard_3-2-1_113079_2021-12-30_final
2022-01-14 09:43:18	ga_ls7e_ard_3-2-1_106079_2022-01-14_final
2022-02-04 08:20:55	ga_ls7e_ard_3-2-1_093079_2022-02-03_final
2022-02-06 09:47:13	ga_ls7e_ard_3-2-1_107079_2022-02-06_final
2022-02-17 09:26:21	ga_ls7e_ard_3-2-1_104076_2022-02-16_final
2022-02-18 08:31:02	ga_ls7e_ard_3-2-1_095077_2022-02-17_final
2022-02-22 09:43:13	ga_ls7e_ard_3-2-1_107073_2022-02-22_final
2022-03-12 09:28:42	ga_ls7e_ard_3-2-1_105072_2022-03-11_final
2022-03-13 10:13:52	ga_ls7e_ard_3-2-1_112077_2022-03-13_final
2022-03-14 09:17:20	ga_ls7e_ard_3-2-1_103075_2022-03-13_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-21 09:23:38	ga_ls7e_ard_3-2-1_104077_2022-03-20_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