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
1999-09-04 11:40:22	ga_ls7e_ard_3-0-0_114081_1999-09-04_final
1999-12-25 11:39:28	ga_ls7e_ard_3-0-0_114079_1999-12-25_final
2001-06-21 11:34:54	ga_ls7e_ard_3-0-0_114076_2001-06-21_final
2002-03-27 11:40:49	ga_ls7e_ard_3-0-0_115077_2002-03-27_final
2002-11-15 11:32:34	ga_ls7e_ard_3-0-0_114074_2002-11-15_final
2003-02-03 11:33:13	ga_ls7e_ard_3-0-0_114074_2003-02-03_final
2004-04-17 11:41:57	ga_ls7e_ard_3-0-0_115079_2004-04-17_final
2004-05-12 11:33:49	ga_ls7e_ard_3-0-0_114074_2004-05-12_final
2004-10-10 11:39:43	ga_ls7e_ard_3-1-0_115075_2004-10-10_final
2004-11-11 11:40:56	ga_ls7e_ard_3-1-0_115077_2004-11-11_final
2005-04-13 11:34:12	ga_ls7e_ard_3-0-0_114074_2005-04-13_final
2007-04-10 11:42:08	ga_ls7e_ard_3-0-0_115076_2007-04-10_final
2007-09-26 11:34:24	ga_ls7e_ard_3-0-0_114074_2007-09-26_final
2007-10-12 11:37:10	ga_ls7e_ard_3-0-0_114081_2007-10-12_final
2008-05-07 11:35:04	ga_ls7e_ard_3-0-0_114075_2008-05-07_final
2009-07-13 11:37:21	ga_ls7e_ard_3-0-0_114080_2009-07-13_final
2009-10-17 11:35:12	ga_ls7e_ard_3-0-0_114075_2009-10-17_final
2009-12-04 11:37:51	ga_ls7e_ard_3-0-0_114080_2009-12-04_final
2010-01-21 11:37:49	ga_ls7e_ard_3-0-0_114078_2010-01-21_final
2010-02-06 11:36:50	ga_ls7e_ard_3-0-0_114075_2010-02-06_final
2010-04-27 11:38:25	ga_ls7e_ard_3-0-0_114078_2010-04-27_final
2011-05-25 11:36:01	ga_ls7e_ard_3-0-0_113084_2011-05-25_final
2013-09-26 11:42:46	ga_ls7e_ard_3-0-0_114080_2013-09-26_final
2014-07-02 11:48:43	ga_ls7e_ard_3-0-0_115075_2014-07-02_final
2015-03-08 11:45:30	ga_ls7e_ard_3-0-0_114079_2015-03-08_final
2015-10-18 11:46:29	ga_ls7e_ard_3-0-0_114078_2015-10-18_final
2015-12-12 11:52:44	ga_ls7e_ard_3-0-0_115076_2015-12-12_final
2016-02-23 11:46:30	ga_ls7e_ard_3-0-0_114074_2016-02-23_final
2016-06-30 11:48:47	ga_ls7e_ard_3-0-0_114078_2016-06-30_final
2016-06-30 11:49:59	ga_ls7e_ard_3-0-0_114081_2016-06-30_final
2016-08-17 11:47:39	ga_ls7e_ard_3-0-0_114075_2016-08-17_final
2016-11-21 11:47:33	ga_ls7e_ard_3-0-0_114075_2016-11-21_final
2016-12-07 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-12-07_final
2017-03-04 11:53:42	ga_ls7e_ard_3-0-0_115076_2017-03-04_final
2017-06-01 11:49:58	ga_ls7e_ard_3-0-0_114081_2017-06-01_final
2017-07-19 11:48:53	ga_ls7e_ard_3-0-0_114078_2017-07-19_final
2018-01-18 11:53:08	ga_ls7e_ard_3-0-0_115075_2018-01-18_final
2018-02-28 11:46:25	ga_ls7e_ard_3-0-0_114075_2018-02-28_final
2018-09-24 11:42:20	ga_ls7e_ard_3-0-0_114074_2018-09-24_final
2019-04-27 11:43:27	ga_ls7e_ard_3-1-0_115077_2019-04-27_final
2019-12-09 11:24:31	ga_ls7e_ard_3-1-0_113084_2019-12-09_final
2020-07-04 11:12:59	ga_ls7e_ard_3-1-0_113084_2020-07-04_final
2020-11-25 09:25:09	ga_ls7e_ard_3-1-0_097085_2020-11-24_final
2020-11-27 10:47:32	ga_ls7e_ard_3-1-0_111075_2020-11-27_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-03 10:08:25	ga_ls7e_ard_3-1-0_105071_2020-12-03_final
2020-12-06 09:01:25	ga_ls7e_ard_3-1-0_094074_2020-12-05_final
2020-12-13 09:11:04	ga_ls7e_ard_3-1-0_095084_2020-12-12_final
2020-12-27 09:21:11	ga_ls7e_ard_3-1-0_097081_2020-12-26_final
2021-01-04 10:06:53	ga_ls7e_ard_3-1-0_105073_2021-01-04_final
2021-01-05 10:53:16	ga_ls7e_ard_3-1-0_112081_2021-01-05_final
2021-01-07 10:41:10	ga_ls7e_ard_3-1-0_110082_2021-01-07_final
2021-01-09 10:28:40	ga_ls7e_ard_3-1-0_108082_2021-01-09_final
2021-01-13 10:02:04	ga_ls7e_ard_3-1-0_104078_2021-01-13_final
2021-01-19 11:03:50	ga_ls7e_ard_3-1-0_114079_2021-01-19_final
2021-01-25 08:47:51	ga_ls7e_ard_3-2-0_092080_2021-01-24_final
2021-02-03 10:17:54	ga_ls7e_ard_3-2-0_107075_2021-02-03_final
2021-02-28 08:32:33	ga_ls7e_ard_3-2-0_090079_2021-02-27_final
2021-03-01 09:13:20	ga_ls7e_ard_3-2-0_097073_2021-02-28_final
2021-03-07 10:13:52	ga_ls7e_ard_3-2-0_107071_2021-03-07_final
2021-03-12 08:56:43	ga_ls7e_ard_3-2-0_094080_2021-03-11_final
2021-03-30 08:44:31	ga_ls7e_ard_3-2-0_092084_2021-03-29_final
2021-04-05 09:44:13	ga_ls7e_ard_3-2-0_102080_2021-04-05_final
2021-04-13 08:48:56	ga_ls7e_ard_3-2-0_094067_2021-04-12_final
2021-04-18 09:08:39	ga_ls7e_ard_3-2-0_097071_2021-04-17_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
2021-06-02 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
2021-06-05 09:07:47	ga_ls7e_ard_3-2-0_097079_2021-06-04_final
2021-06-12 09:10:36	ga_ls7e_ard_3-2-0_098072_2021-06-11_final
2021-07-07 09:05:56	ga_ls7e_ard_3-2-0_097081_2021-07-06_final
2021-07-26 09:31:13	ga_ls7e_ard_3-2-0_102071_2021-07-26_final
2021-08-12 10:17:21	ga_ls7e_ard_3-2-0_109082_2021-08-12_final
2021-08-14 10:02:01	ga_ls7e_ard_3-2-0_107075_2021-08-14_final
2021-08-18 09:34:09	ga_ls7e_ard_3-2-0_103068_2021-08-18_final
2021-08-23 08:19:23	ga_ls7e_ard_3-2-0_090083_2021-08-22_final
2021-08-23 09:52:40	ga_ls7e_ard_3-2-0_106069_2021-08-23_final
2021-08-26 10:22:31	ga_ls7e_ard_3-2-0_111067_2021-08-26_final
2021-09-13 10:09:47	ga_ls7e_ard_3-2-0_109070_2021-09-13_final
2021-09-14 09:18:04	ga_ls7e_ard_3-2-0_100080_2021-09-13_final
2021-10-17 09:57:11	ga_ls7e_ard_3-2-0_107077_2021-10-17_final
2021-11-21 08:43:55	ga_ls7e_ard_3-2-1_096072_2021-11-20_final
2021-12-11 08:19:18	ga_ls7e_ard_3-2-1_092077_2021-12-10_final
2021-12-25 10:11:34	ga_ls7e_ard_3-2-1_110083_2021-12-25_final
2021-12-29 08:06:22	ga_ls7e_ard_3-2-1_090080_2021-12-28_final
2022-01-12 09:53:51	ga_ls7e_ard_3-2-1_108074_2022-01-12_final
2022-01-13 10:37:49	ga_ls7e_ard_3-2-1_115076_2022-01-13_final
2022-01-15 10:26:52	ga_ls7e_ard_3-2-1_113080_2022-01-15_final
2022-01-17 10:15:31	ga_ls7e_ard_3-2-1_111083_2022-01-17_final
2022-01-21 08:10:20	ga_ls7e_ard_3-2-1_091080_2022-01-20_final
2022-01-23 09:33:28	ga_ls7e_ard_3-2-1_105072_2022-01-23_final
2022-01-23 09:35:52	ga_ls7e_ard_3-2-1_105078_2022-01-23_final
2022-02-02 08:35:52	ga_ls7e_ard_3-2-1_095085_2022-02-01_final
2022-02-04 08:21:43	ga_ls7e_ard_3-2-1_093081_2022-02-03_final
2022-02-23 08:52:18	ga_ls7e_ard_3-2-1_098085_2022-02-22_final
2022-03-02 08:56:37	ga_ls7e_ard_3-2-1_099082_2022-03-01_final
2022-03-12 07:54:13	ga_ls7e_ard_3-2-1_089083_2022-03-11_final
2022-03-19 09:34:11	ga_ls7e_ard_3-2-1_106072_2022-03-19_final
2022-03-29 10:11:31	ga_ls7e_ard_3-2-1_112075_2022-03-29_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